Description

A Note on Python: The code-alongs in this class all use Python 2.7. Source code (with copious amounts of comments) is attached as a resource with all the code-alongs.

Prerequisites: Working knowledge of Python is necessary if you want to run the source code that is provided. Basic knowledge of machine learning, especially ML classification techniques, would be helpful but it's not mandatory.

Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce. 

This course takes a completely practical approach to applying Machine Learning techniques to Quant Trading

Let’s parse that.

Completely Practical: This course has just enough theory to get you started with both Quant Trading and Machine Learning. The focus is on practically applying ML techniques to develop sophisticated Quant Trading models. From setting up your own historical price database in MySQL to writing hundreds of lines of Python code, the focus is on doing from the get go.

Machine Learning Techniques: We'll cover a variety of machine learning techniques, from K-Nearest Neighbors and Decision Trees to pretty advanced techniques like Random Forests and Gradient Boosted Classifiers. But, in practice Machine Learning is not just about the algorithms. Feature Engineering, Parameter Tuning, Avoiding overfitting; these are all a part and parcel of developing Machine Learning applications and we do it all in this course. 

Quant Trading: Quant Trading is a perfect example of an area where the use of Machine Learning leads to a step change in the quality of the models used. Traditional models often depend on Excel and building sophisticated models requires a huge amount of manual effort and domain knowledge. Machine Learning libraries available today allow you to build highly sophisticated models that give you much better performance with much less effort. 

What's Covered: 

Quant Trading : Financial Markets, Stocks, Indices, Futures, Return, Risk, Sharpe Ratio, Momentum Investing, Mean Reversion, Developing trading strategies using Excel, Backtesting

Machine Learning: Decision Trees, Ensemble Learning, Random Forests, Gradient Boosted Classifiers, Nearest Neighbors, Feature engineering, Overfitting, Parameter Tuning

MySQL: Set up a historical price database in MySQL using Python. 

Python Libraries : Pandas, Scikit-Learn, XGBoost, Hyperopt

Using discussion forums

Please use the discussion forums on this course to engage with other students and to help each other out. Unfortunately, much as we would like to, it is not possible for us at Loonycorn to respond to individual questions from students:-(

We're super small and self-funded with only 2-3 people developing technical video content. Our mission is to make high-quality courses available at super low prices.

The only way to keep our prices this low is to *NOT offer additional technical support over email or in-person*. The truth is, direct support is hugely expensive and just does not scale.

We understand that this is not ideal and that a lot of students might benefit from this additional support. Hiring resources for additional support would make our offering much more expensive, thus defeating our original purpose.

It is a hard trade-off.

Thank you for your patience and understanding!

Who is the target audience?

• Yep! Quant traders who have not used Machine learning techniques before to develop trading strategies
• Yep! Analytics professionals, modelers, big data professionals who want to get hands-on experience with Machine Learning
• Yep! Anyone who is interested in Machine Learning and wants to learn through a practical, project-based approach

Description

This course is all about the application of deep learning and neural networks to reinforcement learning.

If you’ve taken my first reinforcement learning class, then you know that reinforcement learning is on the bleeding edge of what we can do with AI.

Specifically, the combination of deep learning with reinforcement learning has led to AlphaGo beating a world champion in the strategy game Go, it has led to self-driving cars, and it has led to machines that can play video games at a superhuman level.

Reinforcement learning has been around since the 70s but none of this has been possible until now.

The world is changing at a very fast pace. The state of California is changing their regulations so that self-driving car companies can test their cars without a human in the car to supervise.

We’ve seen that reinforcement learning is an entirely different kind of machine learning than supervised and unsupervised learning.

Supervised and unsupervised machine learning algorithms are for analyzing and making predictions about data, whereas reinforcement learning is about training an agent to interact with an environment and maximize its reward.

Unlike supervised and unsupervised learning algorithms, reinforcement learning agents have an impetus - they want to reach a goal.

This is such a fascinating perspective, it can even make supervised / unsupervised machine learning and "data science" seem boring in hindsight. Why train a neural network to learn about the data in a database, when you can train a neural network to interact with the real-world?

While deep reinforcement learning and AI has a lot of potential, it also carries with it huge risk.

Bill Gates and Elon Musk have made public statements about some of the risks that AI poses to economic stability and even our existence.

As we learned in my first reinforcement learning course, one of the main principles of training reinforcement learning agents is that there are unintended consequences when training an AI.

AIs don’t think like humans, and so they come up with novel and non-intuitive solutions to reach their goals, often in ways that surprise domain experts - humans who are the best at what they do.

OpenAI is a non-profit founded by Elon Musk, Sam Altman (Y Combinator), and others, in order to ensure that AI progresses in a way that is beneficial, rather than harmful.

Part of the motivation behind OpenAI is the existential risk that AI poses to humans. They believe that open collaboration is one of the keys to mitigating that risk.

One of the great things about OpenAI is that they have a platform called the OpenAI Gym, which we’ll be making heavy use of in this course.

It allows anyone, anywhere in the world, to train their reinforcement learning agents in standard environments.

In this course, we’ll build upon what we did in the last course by working with more complex environments, specifically, those provided by the OpenAI Gym:

• CartPole
• Mountain Car
• Atari games

To train effective learning agents, we’ll need new techniques.

We’ll extend our knowledge of temporal difference learning by looking at the TD Lambda algorithm, we’ll look at a special type of neural network called the RBF network, we’ll look at the policy gradient method, and we’ll end the course by looking at Deep Q-Learning.

Thanks for reading, and I’ll see you in class!

NOTES:

All the code for this course can be downloaded from my github:

/lazyprogrammer/machine_learning_examples

In the directory: rl2

Make sure you always "git pull" so you have the latest version!

HARD PREREQUISITES / KNOWLEDGE YOU ARE ASSUMED TO HAVE:

• Calculus
• Probability
• Object-oriented programming
• Python coding: if/else, loops, lists, dicts, sets
• Numpy coding: matrix and vector operations
• Linear regression
• Gradient descent
• Know how to build a feedforward, convolutional, and recurrent neural network in Theano and TensorFlow
• Markov Decision Proccesses (MDPs)
• Know how to implement Dynamic Programming, Monte Carlo, and Temporal Difference Learning to solve MDPs

TIPS (for getting through the course):

• Watch it at 2x.
• Take handwritten notes. This will drastically increase your ability to retain the information.
• Write down the equations. If you don't, I guarantee it will just look like gibberish.
• Ask lots of questions on the discussion board. The more the better!
• Realize that most exercises will take you days or weeks to complete.
• Write code yourself, don't just sit there and look at my code.

USEFUL COURSE ORDERING:

• (The Numpy Stack in Python)
• Linear Regression in Python
• Logistic Regression in Python
• (Supervised Machine Learning in Python)
• (Bayesian Machine Learning in Python: A/B Testing)
• Deep Learning in Python
• Practical Deep Learning in Theano and TensorFlow
• (Supervised Machine Learning in Python 2: Ensemble Methods)
• Convolutional Neural Networks in Python
• (Easy NLP)
• (Cluster Analysis and Unsupervised Machine Learning)
• Unsupervised Deep Learning
• (Hidden Markov Models)
• Recurrent Neural Networks in Python
• Artificial Intelligence: Reinforcement Learning in Python
• Natural Language Processing with Deep Learning in Python
• Advanced AI: Deep Reinforcement Learning in Python

Who is the target audience?

• Professionals and students with strong technical backgrounds who wish to learn state-of-the-art AI techniques

Description

When people talk about artificial intelligence, they usually don’t mean supervised and unsupervised machine learning.

These tasks are pretty trivial compared to what we think of AIs doing - playing chess and Go, driving cars, and beating video games at a superhuman level.

Reinforcement learning has recently become popular for doing all of that and more.

Much like deep learning, a lot of the theory was discovered in the 70s and 80s but it hasn’t been until recently that we’ve been able to observe first hand the amazing results that are possible.

In 2016 we saw Google’s AlphaGo beat the world Champion in Go.

We saw AIs playing video games like Doom and Super Mario.

Self-driving cars have started driving on real roads with other drivers and even carrying passengers (Uber), all without human assistance.

If that sounds amazing, brace yourself for the future because the law of accelerating returns dictates that this progress is only going to continue to increase exponentially.

Learning about supervised and unsupervised machine learning is no small feat. To date I have over SIXTEEN (16!) courses just on those topics alone.

And yet reinforcement learning opens up a whole new world. As you’ll learn in this course, the reinforcement learning paradigm is more different from supervised and unsupervised learning than they are from each other.

It’s led to new and amazing insights both in behavioral psychology and neuroscience. As you’ll learn in this course, there are many analogous processes when it comes to teaching an agent and teaching an animal or even a human. It’s the closest thing we have so far to a true general artificial intelligence.

What’s covered in this course?

• The multi-armed bandit problem and the explore-exploit dilemma
• Ways to calculate means and moving averages and their relationship to stochastic gradient descent
• Markov Decision Processes (MDPs)
• Dynamic Programming
• Monte Carlo
• Temporal Difference (TD) Learning
• Approximation Methods (i.e. how to plug in a deep neural network or other differentiable model into your RL algorithm)

If you’re ready to take on a brand new challenge, and learn about AI techniques that you’ve never seen before in traditional supervised machine learning, unsupervised machine learning, or even deep learning, then this course is for you.

See you in class!

NOTES:

All the code for this course can be downloaded from my github:

/lazyprogrammer/machine_learning_examples

In the directory: rl

Make sure you always "git pull" so you have the latest version!

HARD PREREQUISITES / KNOWLEDGE YOU ARE ASSUMED TO HAVE:

• Calculus
• Probability
• Object-oriented programming
• Python coding: if/else, loops, lists, dicts, sets
• Numpy coding: matrix and vector operations
• Linear regression
• Gradient descent

TIPS (for getting through the course):

• Watch it at 2x.
• Take handwritten notes. This will drastically increase your ability to retain the information.
• Write down the equations. If you don't, I guarantee it will just look like gibberish.
• Ask lots of questions on the discussion board. The more the better!
• Realize that most exercises will take you days or weeks to complete.
• Write code yourself, don't just sit there and look at my code.

USEFUL COURSE ORDERING:

• (The Numpy Stack in Python)
• Linear Regression in Python
• Logistic Regression in Python
• (Supervised Machine Learning in Python)
• (Bayesian Machine Learning in Python: A/B Testing)
• Deep Learning in Python
• Practical Deep Learning in Theano and TensorFlow
• (Supervised Machine Learning in Python 2: Ensemble Methods)
• Convolutional Neural Networks in Python
• (Easy NLP)
• (Cluster Analysis and Unsupervised Machine Learning)
• Unsupervised Deep Learning
• (Hidden Markov Models)
• Recurrent Neural Networks in Python
• Artificial Intelligence: Reinforcement Learning in Python
• Natural Language Processing with Deep Learning in Python

Who is the target audience?

• Anyone who wants to learn about artificial intelligence, data science, machine learning, and deep learning
• Both students and professionals

Description

*** AS SEEN ON KICKSTARTER ***

Learn key AI concepts and intuition training to get you quickly up to speed with all things AI. Covering:

• How to start building AI with no previous coding experience using Python
• How to merge AI with OpenAI Gym to learn as effectively as possible
• How to optimize your AI to reach its maximum potential in the real world

Here is what you will get with this course:

1. Complete beginner to expert AI skills – Learn to code self-improving AI for a range of purposes. In fact, we code together with you. Every tutorial starts with a blank page and we write up the code from scratch. This way you can follow along and understand exactly how the code comes together and what each line means.

2. Code templates – Plus, you’ll get downloadable Python code templates for every AI you build in the course. This makes building truly unique AI as simple as changing a few lines of code. If you unleash your imagination, the potential is unlimited.

3. Intuition Tutorials – Where most courses simply bombard you with dense theory and set you on your way, we believe in developing a deep understanding for not only what you’re doing, but why you’re doing it. That’s why we don’t throw complex mathematics at you, but focus on building up your intuition in coding AI making for infinitely better results down the line.

4. Real-world solutions – You’ll achieve your goal in not only 1 game but in 3. Each module is comprised of varying structures and difficulties, meaning you’ll be skilled enough to build AI adaptable to any environment in real life, rather than just passing a glorified memory “test and forget” like most other courses. Practice truly does make perfect.

5. In-course support – We’re fully committed to making this the most accessible and results-driven AI course on the planet. This requires us to be there when you need our help. That’s why we’ve put together a team of professional Data Scientists to support you in your journey, meaning you’ll get a response from us within 48 hours maximum.

Who is the target audience?

• Anyone interested in Artificial Intelligence, Machine Learning or Deep Learning

Description

This course is designed to provide a complete introduction to Deep Learning. It is aimed at beginners and intermediate programmers and data scientists who are familiar with Python and want to understand and apply Deep Learning techniques to a variety of problems.

We start with a review of Deep Learning applications and a recap of Machine Learning tools and techniques. Then we introduce Artificial Neural Networks and explain how they are trained to solve Regression and Classification problems.

Over the rest of the course we introduce and explain several architectures including Fully Connected, Convolutional and Recurrent Neural Networks, and for each of these we explain both the theory and give plenty of example applications.

This course is a good balance between theory and practice. We don't shy away from explaining mathematical details and at the same time we provide exercises and sample code to apply what you've just learned.

The goal is to provide students with a strong foundation, not just theory, not just scripting, but both. At the end of the course you'll be able to recognize which problems can be solved with Deep Learning, you'll be able to design and train a variety of Neural Network models and you'll be able to use cloud computing to speed up training and improve your model's performance.

Who is the target audience?

• Software engineers who are curious about data science and about the Deep Learning buzz and want to get a better understanding of it
• Data scientists who are familiar with Machine Learning and want to develop a strong foundational knowledge of deep learning

Description

So, you want to be a kickass Python programmer?

Let me guess. You want to do this without attending class, or going through a pile of textbooks or online guides.

Sound like you?

Yep, and I know the drill – you want to learn it straight away, so you can put your big plans into action and create stunning Python programs.

Well, I’m Tim Buchalka, one of your instructors, and I’ve designed the Complete Python Masterclass just for you!

Choosing a course that’s perfect for you can be damn hard. You need Instructors:

·      Who are passionate about what they do

·      Keep their courses continually updated

·      And most important, provide outstanding support and follow up to your questions

That’s what I do. And that’s the reason why I made it into the Top 10 List of Outstanding Instructors in the 2015 Udemy Instructor Awards.

Know that you’re in the right place to master Python. For starters, this course will help you develop Python programs for Microsoft Windows, Mac OS X, and Linux.

Learning Python will give you more opportunities for jobs and career advancement because Python is one of the most requested skills in 2017!

This course assumes no previous programming or Python experience. If you’ve never programmed a computer before, or if you know another programming language and want to learn Python, this course will teach you how.

To reinforce what you’ve learned, there are numerous challenges during the course designed to help you understand each concept being taught. You’re also shown the solution to the challenge so you know you’re always on the right track.

The course is continually updated and enhanced, and fully supports Python 3. This guarantees what you’re learning is relevant for you today and will never be obsolete.

Click the Free preview button on this page and check out a few of the videos to judge the quality yourself.

And if you have any doubts about the course, be blown away by the glowing reviews left by students on this page.

Your instructors are myself and Jean-Paul. Between us we have a collective sixty years of commercial software development experience, meaning you’re learning the right way to program to maximize your future development potential.

Importantly, our courses teach students the real-life skills needed to get those in-demand jobs or further your programming skills.

Take this course in confidence today knowing you have just found the BEST Python course on Udemy!  Don't delay. Every minute you’re not learning Python is another potential opportunity wasted.

Click the Buy Now button and start learning now!

Testimonials

"I've purchased other courses from Tim before, and he is one of my favorite Course Instructors on Udemy. He provides a lot of detailed information, and concrete examples to help assist with learning difficult concepts of programming. Tim also cares about his courses a lot, and this can be seen with how often courses are updated with new information, and how Tim sends out announcements to students in his courses. If on the fence about purchasing a course in programming because "programming might be difficult", purchasing one from Tim will greatly alleviate that concern." - Kieran Thomsen

"This course is really awesome! Kudos to the instructors....They make really honest efforts to push the concepts deep into the students' mind. It seems like they actually know where a student can have doubts hence they put more emphasis on those points..I am more than 100 % satisfied and more than that, I get a really good feeling after going through each lessons...like I learnt something new today..Hats off to you guys!" - Mayank

Who is the target audience?

• The course is PERFECT for you if you’re a beginner or intermediate. No previous programming experience is assumed!
• If you are an expert Python programmer with extensive knowledge, and many years’ experience, then this course is probably not for you.

Description

** #1 MOST PURCHASED BUSINESS COURSE ON UDEMY! ** OVER 100,000 STUDENTS IN 196 COUNTRIES ** 

** ACCORDING TO BUSINESS INSIDER: "Getting your MBA has never been easier. Haroun is one of the highest rated professors on Udemy, so you can expect to be in good hands through the course of your education." **

** SPECIAL $99 BONUS: FREE 384 PAGE MBA BOOK INCLUDED ($99 value). In order to further improve the student experience, there is a free download at the end of every section of this course (contains every slide & entire easy to read comprehensive scripts of all 49 lectures & >100 helpful internet links + more) keeping the course up to date, even easier to understand & even more fun and engaging! **

Are you ready to take your career to the next level? In this course, you will learn everything you need to know about business….from starting a company to taking it public. This course covers all of the important topics you will learn from getting an MBA from a top school + real life practical business concepts that will help make you more successful!

This course is taught by an award winning MBA professor with significant real world experience working at Goldman Sachs as well as in the venture capital, hedge fund and consulting industries (he has founded several companies and sits on several boards). Many business concepts are simply common sense. This course will focus on business concepts that you need to know that might not be common sense. This course makes the general business, accounting and finance process very easy to understand! The professor of this course is also the author of "101 Crucial Lessons They Don't Teach You in Business School," which Forbes magazine recently called "1 of 6 books that all entrepreneurs need to read right now."

The contents of this course are all based on my work experience at several firms, including Goldman Sachs, the consulting industry at Accenture, a few companies I have started, the hedge fund industry where I worked at Citadel and also in the venture capital sector (the firm I founded had a venture capital investment in Facebook).I included helpful practical business concepts I learned while I did an MBA at Columbia University and a Bachelor of Commerce degree at McGill University. Think of this course as a “greatest hits” business summaries from my MBA, undergraduate business degree, work experience in consulting, equities, hedge funds, venture capital and starting my own companies.

I have minimized “boring theoretical concepts” in this course in order to keep it as close to reality as possible. The concepts of this course have been taught by me in many classes at several universities, where the student feedback has been universally and incredibly positive (please see my LinkedIn profile for student reviews / feedback on my teaching style/effectiveness - thank you. Also please see reviews of my books in Amazon and here in Udemy on my teaching - particularly in my Udemy course on "101 Crucial Lessons They Don't Teach You in Business School").

An Entire MBA In 1 Course ®  is a registered trademark of Haroun Education Ventures, Inc. The contents of the course are copyright © 2017 Haroun Education Ventures, Inc.

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Customer Testimonials:

• "I just wanted to shoot you a quick message letting you know I'm really enjoying your MBA course on Udemy. I really like that it's geared towards practitioners rather than just theory. I also wanted to sincerely thank you because your course was the difference in me getting funding this past week." - Chris Backofen, CEO of CastCloud

• "Engaging Course! Comprehensive presentation of key concepts that are well explained in a practical & relevant manner while delivered in easily digestible chunks." - Michael Jordan

• "I've been in business over 20 years and this course is an excellent refresher to remind you of things you may already know and things you may have forgotten along the way." - Laura Caraccioli

• "Very clearly structured, presented and spoken. Covers the foundations of entrepreneurship, business and investing." - Jeffrey Koury

• "I have just finished this course, and I highly recommend it. I would say that the introduction video gives a good indication of what to expect. You will not be disappointed!" - Ronald Deerenberg

• "Great Induction, I Wish University were this exciting, that would definitely make me consider taking on the dept the education comes with." - Christian Baffour-Akoto

• "I completed my MBA in 2011 and this was a great refresher. I also got some wonderful takeaways from this course on how to follow my passion and love what I do. Would definitely recommend this lecture to others."Ali Ashraf

• "Best course ever. I highly recommend this course" - Aminata Bah

• "Brilliant course. Have learned so much and looking forward to implementing what i've learned into future endeavours" - Ben Judh

• "This is definitely the best course I have attended in my entire life. It is jam-packed with facts, real life truths about the Financial Sector, its inner workings and a hands-on approach. Professor Haroun's approach of doing away with the theoretical jargon and instead providing a rich-in-practical-content makes this course an absolute MUST for students, young and matured executives, business owners of small or large companies to attend. Professor Haroun is an excellent speaker, an invigorating lecturer of whose passion is fervently contagious. As a business owner of 25 years, I wish I had come across Professor Haroun's knowledge and inspiring attitude many years ago. The course material is comprehensive, easy to understand and Professor Haroun's sense of humour and his inclusion of applicable videoclips in his downloadable course material adds spice to the whole experience. I am forever grateful at stumbling across his course on Udemy! Its been a life-changing experience." - Antionette Cronje

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Students of this course will enjoy learning everything they need to know about business….from starting a company to taking it public while learning the most important topics taught at the top MBA schools in the world. Take your career to the next level!

Who is the target audience?

• Anyone interested in learning about business (only practical concepts that you can use and no boring theory + we won't cover business topics that are common sense).

Description

*** As seen on Kickstarter ***

Artificial intelligence is growing exponentially. There is no doubt about that. Self-driving cars are clocking up millions of miles, IBM Watson is diagnosing patients better than armies of doctors and Google Deepmind's AlphaGo beat the World champion at Go - a game where intuition plays a key role.

But the further AI advances, the more complex become the problems it needs to solve. And only Deep Learning can solve such complex problems and that's why it's at the heart of Artificial intelligence.

--- Why Deep Learning A-Z? ---

Here are five reasons we think Deep Learning A-Z™ really is different, and stands out from the crowd of other training programs out there:

1. ROBUST STRUCTURE 

The first and most important thing we focused on is giving the course a robust structure. Deep Learning is very broad and complex and to navigate this maze you need a clear and global vision of it. 

That's why we grouped the tutorials into two volumes, representing the two fundamental branches of Deep Learning: Supervised Deep Learning and Unsupervised Deep Learning. With each volume focusing on three distinct algorithms, we found that this is the best structure for mastering Deep Learning.

2. INTUITION TUTORIALS

So many courses and books just bombard you with the theory, and math, and coding... But they forget to explain, perhaps, the most important part: why you are doing what you are doing. And that's how this course is so different. We focus on developing an intuitive *feel* for the concepts behind Deep Learning algorithms.

With our intuition tutorials you will be confident that you understand all the techniques on an instinctive level. And once you proceed to the hands-on coding exercises you will see for yourself how much more meaningful your experience will be. This is a game-changer.

3. EXCITING PROJECTS

Are you tired of courses based on over-used, outdated data sets?

Yes? Well then you're in for a treat.

Inside this class we will work on Real-World datasets, to solve Real-World business problems. (Definitely not the boring iris or digit classification datasets that we see in every course). In this course we will solve six real-world challenges:

• Artificial Neural Networks to solve a Customer Churn problem
• Convolutional Neural Networks for Image Recognition
• Recurrent Neural Networks to predict Stock Prices
• Self-Organizing Maps to investigate Fraud
• Boltzmann Machines to create a Recomender System
• Stacked Autoencoders* to take on the challenge for the Netflix $1 Million prize

*Stacked Autoencoders is a brand new technique in Deep Learning which didn't even exist a couple of years ago. We haven't seen this method explained anywhere else in sufficient depth.

4. HANDS-ON CODING 

In Deep Learning A-Z™ we code together with you. Every practical tutorial starts with a blank page and we write up the code from scratch. This way you can follow along and understand exactly how the code comes together and what each line means. 

In addition, we will purposefully structure the code in such a way so that you can download it and apply it in your own projects. Moreover, we explain step-by-step where and how to modify the code to insert YOUR dataset, to tailor the algorithm to your needs, to get the output that you are after. 

This is a course which naturally extends into your career.

5. IN-COURSE SUPPORT

Have you ever taken a course or read a book where you have questions but cannot reach the author? 

Well, this course is different. We are fully committed to making this the most disruptive and powerful Deep Learning course on the planet. With that comes a responsibility to constantly be there when you need our help.

In fact, since we physically also need to eat and sleep we have put together a team of professional Data Scientists to help us out. Whenever you ask a question you will get a response from us within 48 hours maximum. 

No matter how complex your query, we will be there. The bottom line is we want you to succeed. 

--- The Tools ---

Tensorflow and Pytorch are the two most popular open-source libraries for Deep Learning. In this course you will learn both!

TensorFlow was developed by Google and is used in their speech recognition system, in the new google photos product, gmail, google search and much more. Companies using Tensorflow include AirBnb, Airbus, Ebay, Intel, Uber and dozens more. 

PyTorch is as just as powerful and is being developed by researchers at Nvidia and leading universities: Stanford, Oxford, ParisTech. Companies using PyTorch include Twitter, Saleforce and Facebook.

So which is better and for what? 

Well, in this course you will have an opportunity to work with both and understand when Tensorflow is better and when PyTorch is the way to go. Throughout the tutorials we compare the two and give you tips and ideas on which could work best in certain circumstances.

The interesting thing is that both these libraries are barely over 1 year old. That's what we mean when we say that in this course we teach you the most cutting edge Deep Learning models and techniques.

--- More Tools ---

Theano is another open source deep learning library. It's very similar to Tensorflow in its functionality, but nevertheless we will still cover it.

Keras is an incredible library to implement Deep Learning models. It acts as a wrapper for Theano and Tensorflow. Thanks to Keras we can create powerful and complex Deep Learning models with only a few lines of code. This is what will allow you to have a global vision of what you are creating. Everything you make will look so clear and structured thanks to this library, that you will really get the intuition and understanding of what you are doing.

--- Even More Tools ---

Scikit-learn the most practical Machine Learning library. We will mainly use it:  

• to evaluate the performance of our models with the most relevant technique, k-Fold Cross Validation
• to improve our models with effective Parameter Tuning
• to preprocess our data, so that our models can learn in the best conditions

And of course, we have to mention the usual suspects. This whole course is based on Python and in every single section you will be getting hours and hours of invaluable hands-on practical coding experience. 

Plus, throughout the course we will be using Numpy to do high computations and manipulate high dimensional arrays, Matplotlib to plot insightful charts and Pandas to import and manipulate datasets the most efficiently.

--- Who Is This Course For? ---

As you can see, there are lots of different tools in the space of Deep Learning and in this course we make sure to show you the most important and most progressive ones so that when you're done with Deep Learning A-Z™ your skills are on the cutting edge of today's technology.

If you are just starting out into Deep Learning, then you will find this course extremely useful. Deep Learning A-Z™ is structured around special coding blueprint approaches meaning that you won't get bogged down in unnecessary programming or mathematical complexities and instead you will be applying Deep Learning techniques from very early on in the course. You will build your knowledge from the ground up and you will see how with every tutorial you are getting more and more confident.

If you already have experience with Deep Learning, you will find this course refreshing, inspiring and very practical. Inside Deep Learning A-Z™ you will master some of the most cutting-edge Deep Learning algorithms and techniques (some of which didn't even exist a year ago) and through this course you will gain an immense amount of valuable hands-on experience with real-world business challenges. Plus, inside you will find inspiration to explore new Deep Learning skills and applications.

--- Real-World Case Studies ---

Mastering Deep Learning is not just about knowing the intuition and tools, it's also about being able to apply these models to real-world scenarios and derive actual measurable results for the business or project. That's why in this course we are introducing six exciting challenges:

#1 Churn Modelling Problem

In this part you will be solving a data analytics challenge for a bank. You will be given a dataset with a large sample of the bank's customers. To make this dataset, the bank gathered information such as customer id, credit score, gender, age, tenure, balance, if the customer is active, has a credit card, etc. During a period of 6 months, the bank observed if these customers left or stayed in the bank. 

Your goal is to make an Artificial Neural Network that can predict, based on geo-demographical and transactional information given above, if any individual customer will leave the bank or stay (customer churn). Besides, you are asked to rank all the customers of the bank, based on their probability of leaving. To do that, you will need to use the right Deep Learning model, one that is based on a probabilistic approach. 

If you succeed in this project, you will create significant added value to the bank. By applying your Deep Learning model the bank may significantly reduce customer churn.

#2 Image Recognition

In this part, you will create a Convolutional Neural Network that is able to detect various objects in images. We will implement this Deep Learning model to recognize a cat or a dog in a set of pictures. However, this model can be reused to detect anything else and we will show you how to do it - by simply changing the pictures in the input folder. 

For example, you will be able to train the same model on a set of brain images, to detect if they contain a tumor or not. But if you want to keep it fitted to cats and dogs, then you will literally be able to a take a picture of your cat or your dog, and your model will predict which pet you have. We even tested it out on Hadelin’s dog!

#3 Stock Price Prediction

In this part, you will create one of the most powerful Deep Learning models. We will even go as far as saying that you will create the Deep Learning model closest to “Artificial Intelligence”. Why is that? Because this model will have long-term memory, just like us, humans. 

The branch of Deep Learning which facilitates this is Recurrent Neural Networks. Classic RNNs have short memory, and were neither popular nor powerful for this exact reason. But a recent major improvement in Recurrent Neural Networks gave rise to the popularity of LSTMs (Long Short Term Memory RNNs) which has completely changed the playing field. We are extremely excited to include these cutting-edge deep learning methods in our course! 

In this part you will learn how to implement this ultra-powerful model, and we will take the challenge to use it to predict the real Google stock price. A similar challenge has already been faced by researchers at Stanford University and we will aim to do at least as good as them. 

 #4 Fraud Detection

According to a recent report published by Markets & Markets the Fraud Detection and Prevention Market is going to be worth $33.19 Billion USD by 2021. This is a huge industry and the demand for advanced Deep Learning skills is only going to grow. That’s why we have included this case study in the course.  

This is the first part of Volume 2 - Unsupervised Deep Learning Models. The business challenge here is about detecting fraud in credit card applications. You will be creating a Deep Learning model for a bank and you are given a dataset that contains information on customers applying for an advanced credit card. 

This is the data that customers provided when filling the application form. Your task is to detect potential fraud within these applications. That means that by the end of the challenge, you will literally come up with an explicit list of customers who potentially cheated on their applications.

#5 & 6 Recommender Systems

From Amazon product suggestions to Netflix movie recommendations - good recommender systems are very valuable in today's World. And specialists who can create them are some of the top-paid Data Scientists on the planet.

We will work on a dataset that has exactly the same features as the Netflix dataset: plenty of movies, thousands of users, who have rated the movies they watched. The ratings go from 1 to 5, exactly like in the Netflix dataset, which makes the Recommender System more complex to build than if the ratings were simply “Liked” or “Not Liked”. 

Your final Recommender System will be able to predict the ratings of the movies the customers didn’t watch. Accordingly, by ranking the predictions from 5 down to 1, your Deep Learning model will be able to recommend which movies each user should watch. Creating such a powerful Recommender System is quite a challenge so we will give ourselves two shots. Meaning we will build it with two different Deep Learning models.

Our first model will be Deep Belief Networks, complex Boltzmann Machines that will be covered in Part 5. Then our second model will be with the powerful AutoEncoders, my personal favorites. You will appreciate the contrast between their simplicity, and what they are capable of.

And you will even be able to apply it to yourself or your friends. The list of movies will be explicit so you will simply need to rate the movies you already watched, input your ratings in the dataset, execute your model and voila! The Recommender System will tell you exactly which movies you would love one night you if are out of ideas of what to watch on Netflix!  

--- Summary ---

In conclusion, this is an exciting training program filled with intuition tutorials, practical exercises and real-World case studies. 

We are super enthusiastic about Deep Learning and hope to see you inside the class!

Kirill & Hadelin

Who is the target audience?

• Anyone interested in Deep Learning
• Students who have at least high school knowledge in math and who want to start learning Deep Learning
• Any intermediate level people who know the basics of Machine Learning or Deep Learning, including the classical algorithms like linear regression or logistic regression and more advanced topics like Artificial Neural Networks, but who want to learn more about it and explore all the different fields of Deep Learning
• Anyone who is not that comfortable with coding but who is interested in Deep Learning and wants to apply it easily on datasets
• Any students in college who want to start a career in Data Science
• Any data analysts who want to level up in Deep Learning
• Any people who are not satisfied with their job and who want to become a Data Scientist
• Any people who want to create added value to their business by using powerful Deep Learning tools
• Any business owners who want to understand how to leverage the Exponential technology of Deep Learning in their business
• Any Entrepreneur who wants to create disruption in an industry using the most cutting edge Deep Learning algorithms

Description

Interested in the field of Machine Learning? Then this course is for you!

This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.

We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

This course is fun and exciting, but at the same time we dive deep into Machine Learning. It is structured the following way:

• Part 1 - Data Preprocessing
• Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression
• Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification
• Part 4 - Clustering: K-Means, Hierarchical Clustering
• Part 5 - Association Rule Learning: Apriori, Eclat
• Part 6 - Reinforcement Learning: Upper Confidence Bound, Thompson Sampling
• Part 7 - Natural Language Processing: Bag-of-words model and algorithms for NLP
• Part 8 - Deep Learning: Artificial Neural Networks, Convolutional Neural Networks
• Part 9 - Dimensionality Reduction: PCA, LDA, Kernel PCA
• Part 10 - Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost

Moreover, the course is packed with practical exercises which are based on live examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.

And as a bonus, this course includes both Python and R code templates which you can download and use on your own projects.

Who is the target audience?

• Anyone interested in Machine Learning
• Students who have at least high school knowledge in math and who want to start learning Machine Learning
• Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
• Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
• Any students in college who want to start a career in Data Science.
• Any data analysts who want to level up in Machine Learning.
• Any people who are not satisfied with their job and who want to become a Data Scientist.
• Any people who want to create added value to their business by using powerful Machine Learning tools

Description

COURSE UP TO DATE 

One of the biggest PHP Courses in UDEMY ........

Best Rated PHP course on UDEMY......

New lectures ADDED all the time.....

Over 13,000 Students taking this course already.........

BEST Reviewed PHP beginners course for a reason.....

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Are you new to PHP or need a refresher? Then this course will help you get all the fundamentals of Procedural PHP, Object Oriented PHP, MYSQLi and ending the course by building a CMS system similar to WordPress, Joomla or Drupal.

Knowing PHP has allowed me to make enough money to stay home and make courses like this one for students all over the world. Being a PHP developer can allow anyone to make really good money online and offline, developing dynamic applications.

Knowing PHP will allow you to build web applications, websites or Content Management systems, like WordPress, Facebook, Twitter or even Google.

There is no limit to what you can do with this knowledge. PHP is one of the most important web programming languages to learn, and knowing it, will give you SUPER POWERS in the web development world and job market place.

Why?

Because Millions of websites and applications (the majority) use PHP. You can find a job anywhere or even work on your own, online and in places like freelancer or odesk. You can definitely make a substantial income once you learn it.

Some of my students reviews for this course and others

Holy cr*********

Readed some books about PHP but it was such boring that i never finished a book and withhold me from learning, this course helped me out straight.. After seeing a free tut on youtube i subscribed the course and jeez, i don't even need goals to get or stay motivated cause i have the instructor: Edwin Diaz, his way of teaching is friggin awesome (and fun) and easy listening! To be honest its keeping me away from bed xD.. I really really love the course. If i need to describe the course from my personal view, one word: Epic! Really looking forward for the stuff that will be added in the future! Great job and thumbs up! Greetings from a Dutchy

Best PHP course************

This course is just awesome. You will learn the basics and then you will jump to making your own CMS. Every little piece of code is described very well, so you exactly know, what you are doing. After finishing this course I was ready to make my own social networking site and that's amazing isn't it? Another great part of this course is its instructor, who helps you with every issue you have in short time. I've have already done many internet courses, but this is definetly the best one.

The Best Php course made FUN and EASY worth The Money!!! *************

Hi Edwin You have made 'learning PHP very fun an easy to follow. I got so many ideas that I want to do and had been searching around for 3 years now looking for the right course and lecturer that will help me fulfill my dream. I want to thank you that I have gone through more than half of your online course now and I am still interested to complete it. Thank you for your motivation and kind words. It what keeps me going and I know that once I finish this, I will be able to achieve my goal. I believe that your course is the key to my success in fulfilling my dream. AND the best part is the Lecturer always replies to your questions

The best course I have taken so far ***************

Every programming course I have taken until now has been extremely boring and I found it difficult to concentrate, but your course was clear, entertaining and kept me hooked till the very end. I remember everything I learnt in your course and have gained a deeper understanding of terms and methodologies that seems incomprehensible until now. Thank you

***************************End of Reviews ***********************

My Promise to You

I created this course not just to make money but to teach you the knowledge that will help you with PHP since I was in your shoes some years ago. If you need support, I will be just a message or an email away. I love what I do, but most importantly I love when my students succeed and that for me is priceless. You success depends on yours and I will make sure with that you get all the help you need when you need it.

I will not bore you :)

I take my courses very seriously but at the same time I try to make it fun since I know how difficult learning from an instructor with a monotone voice or boring attitude is. This course is fun, and when you need some energy to keep going, you will get it from me.

My Approach

Practice, practice and more practice. Every section inside this course has a practice lecture at the end, reinforcing everything with went over in the lectures. I also created a small application the you will be able to download to help you practice PHP. To top it off, we will build and awesome CMS like WordPress, Joomla or Drupal.

Your $ invested in this course will be multiplied over and over again

With over 176 lectures and over of 20 hours of PURE PHP knowledge from the real world, you can bet, your money will be well spent in this course. If these are not enough reasons for you to jump into this course, consider that I update the course with lectures all the time by students requests and by adding new features to the CMS project.

100% Money Back if you don't like it

With 100% money guaranteed within 30 days, you have NOTHING to lose and a world of possibilities for your future. If for some reason you don't like the course or me, you can get your money back from Udemy.

Commonly Asked Questions.....

Q: Is PHP worth it to learn?

A: YES YES YES...

PHP is one of the best web programming languages in the world, and all the large important websites, like Google, Apple, Facebook, Yahoo, Wikipedia and many more use it for their web applications.

Q: Can I make Money if I know PHP?

A: LOTS of it

Go over to freelancer dot com and search for PHP projects. You will see so many projects waiting for people to finish them in that site. There are actually more projects in PHP than in any other language.

This PHP Course Covers the following and then some...

• Databases in PHP
• Object Oriented PHP
• CMS project-similar to (Wordpress)
• Form Submissions in PHP
• Security in PHP
• Variables in PHP
• Math in PHP
• Arrays in PHP
• Control Structures in PHP
• Comparison Operators in PHP
• Mayor Loops in PHP
• Functions in PHP
• Constants in PHP
• Super Globals in PHP
• Sessions in PHP
• Cookies in PHP
• And much more .....

Please look at all the lectures to see more things that are covered.

Who is the target audience?

• This course is meant for TOTAL beginners in PHP
• No programming experience is needed at all

Description

Are you ready to start your path to becoming a Data Scientist! 

This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!

Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!

This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!

This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 100 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course for data science and machine learning on Udemy!

We'll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning:

• Programming with Python
• NumPy with Python
• Using pandas Data Frames to solve complex tasks
• Use pandas to handle Excel Files
• Web scraping with python
• Connect Python to SQL
• Use matplotlib and seaborn for data visualizations
• Use plotly for interactive visualizations
• Machine Learning with SciKit Learn, including:
• Linear Regression
• K Nearest Neighbors
• K Means Clustering
• Decision Trees
• Random Forests
• Natural Language Processing
• Neural Nets and Deep Learning
• Support Vector Machines
• and much, much more!

Enroll in the course and become a data scientist today!

Who is the target audience?

• This course is meant for people with at least some programming experience

Description

Join 50,000+ students and get a complete education in digital marketing that will set your business or resume apart!

From SEO to Google Analytics, this course combines 12 courses to give everything you need to grow a business online fast!

Take a look at these top-rated reviews...

★★★★★  "I wish I had found this years ago!"- Marshall Malaba

★★★★★  "Excellent teaching methodology" - Nitesh Singh

★★★★★   "Incredible value for money!" - Lo Chau

Proven Strategies

Rather than general advice and marketing concepts, this course sticks to clear, repeatable techniques that work.

To prove that to you, your instructor built and marketed a website from scratch using the exact steps you will learn - no other course does this!

In the first 30 days, this site had over 4.5k visits & 1000 email subscribers.

Within 8 months, this same website had 76,000 visits & 8000+ email subscribers. 

This real life example will guide you through every single step and link all 12 topics into a coherent marketing strategy!

Project Based Course

As co-instructor, Rob Percival has guided Daragh to create this course in the same "learn by doing" approach that has earned his coding courses over 400,000 students and 20,000 5 star reviews.

Inside the course, you'll complete 12 marketing projects that build upon each other in a logical sequence.

12 Courses in 1

1. Marketing Fundamentals: Create a Buyer Persona & Unique Selling Proposition
2. Market Research: Validate Your Idea with Typeform
3. Wordpress: Create Your Own Website in 1hr Without Technical Skills
4. Email Marketing: Get Your First 1000 Email Subscribers in 30 days
5. Copywriting Training: Write Copy That Sells
6. SEO Checklist: Increase Search Engine Traffic in 26 Steps
7. YouTube Marketing: Use Simple Videos to Drive Traffic & Sales
8. Facebook Marketing: Get Your First 1000 Likes Without Facebook Ads
9. Twitter Marketing: Increase Your Twitter Followers with 10 Strategies
10. Quora Marketing: Become an Authority & Drive Long Term Website Traffic
11. Google Adwords: Create Your First Profitable Campaign Today
12. Google Analytics: Take a Data Driven Approach to Growth

Each section can also be taken as a stand alone course and all the strategies, tips and tools recommended are either free or very cost effective.

This Course Also Comes With:

✔ Lifetime Access to All Future Updates

✔ Fast & Friendly Support in the Q&A section

✔ Custom Notes, Checklists and Templates to Help Get Results Faster

✔ Udemy Certificate of Completion Ready for Download

✔ A 30 Day "No Questions Asked" Money Back Guarantee!

Don't Be The One to Get Left Behind

We are living through the Golden Age of Digital Marketing and every moment you wait is costing you valuable leads and sales.

"Take This Course" risk free and learn the skills to grow any business online fast! 

Who is the target audience?

• Pre launch business owners who want to build up an email list
• Website owners who want to increase their website traffic
• Anyone interested in saving hundreds, if not thousands by doing marketing in-house rather than hiring an expensive marketing agency
• Anyone looking to pick up highly paid in-demand skills

Description

Note: This course assumes you've got the basics of React Native down.  Check out my course 'The Complete React Native and Redux' course, its the perfect preparation!

Go beyond the basics of React Native!  This course will teach you the advanced topics you need to make a #1 best-selling app.

Push Notifications? You will learn it.  In Depth Animations? Included.  Offline Data Persistence? Of course!

------------------------------

What Will You Build?

All of my courses are 'learn-by-doing': no boring endless lectures with Powerpoints, only live, interactive coding examples.  In this course we'll build three separate apps with increasing complexity, each of which will profile different features of React Native.  By putting each concept into a real app, you'll get a better idea of when to use each unique and powerful feature.

1) Build a Tinder-like Swipe Deck. Yes, the classic animated component!  We'll make a big stack of beautiful cards that a user can slide around the screen, swiping right to 'like' an item, or 'left' to dislike an item.  This warmup will get you familiar with interpreting touch input through the PanResponder system, moving elements around with the Animated module, and turning extrapolating animation values through the Interpolation system.

2) Dive into the backend with One Time Password authentication. Ever been prompted to sign in using a code that gets texted to you?  One Time Passwords are a new authentication flow that leverages a user's phone number as their unique identifying token.  We will use the Twilio API to send a text message to a user to verify their identity, while securing our business logic into Firebase's new Google Cloud Functions.

3) Your own Job-Search app.  Tinder for jobs! This app is is 100% feature complete!  We'll build an app with a full welcome-screen tutorial for our new user's, Facebook authentication, and map components.  The user will be presented with a list of jobs to like or dislike based on their location by leveraging Indeed's Job API, then follow up and apply to their choice jobs.

Both OSX and Windows supported - develop iOS or Android!

------------------------------

Here's what we'll learn:

• Learn the theory and practice of implementing complex Animation systems
• Bootstrap your app using the new Expo platform
• Navigate your user around using React-Navigation
• Engage your users with automated Push Notifications
• Enhance authentication flows in your app with One Time Passwords with Twilio
• Increase your app's reliability with Offline Data Persistence
• Educate your users on how to use your app with Welcome Tutorial pages
• Authenticate your users using Facebook OAuth
• Go beyond the mobile front end with Google Cloud Functions: Add custom logic to your Firebase backend
• Locate your users with cross-platform MapView components

I've built the course that I would have wanted to take when I was learning React Native. A course that explains the concepts and how they're implemented in the best order for you to learn and deeply understand them.

Who is the target audience?

• This course is for anyone looking to learn advanced topics of React Native

Description

Be ready for the Dockerized future, where nearly all software is developed and deployed in containers. Welcome to the most complete and up-to-date course for learning and using Docker end-to-end, from development and testing, to deployment and production. Taught by a Docker Captain and consultant.

Just starting out with Docker? Perfect. This course starts out assuming you're new to containers.

Or: Using Docker now and need to deal with real-world problems? I'm here for you! See my production topics around Swarm, secrets, logging, blue/green, and more.

Why should you learn from me? Why trust me to teach you the best ways to use Docker? (Hi, I'm Bret, please allow me to talk about myself for a sec):

• I'm A Practitioner. Welcome to the real world: I've got 20 years of sysadmin and DevOps experience, over 30 certifications, and have been using Docker and the container ecosystem for my consulting clients and my own companies since Docker's early days. Learn from someone who's run hundreds of containers across dozens of projects and organizations, and lived to tell the tale.
• I'm An Educator. Learn from someone who knows how to make a syllabus: I want to help you. People say I'm good at it. For the last few years I've trained hundreds of people on using Docker in workshops, conferences, meetups, and one-on-one. See me teach at events like DockerCon, O'Reilly Velocity, Revolution, and Strange Loop. I hope you'll decide to learn with me, and join the fantastic online Docker community.
• I Lead Communities. Also, I'm a Docker Captain, meaning that Docker Inc. thinks I know a thing or two about Docker and that I do well in sharing it with others. In the real-world: I help run two local meetups in our fabulous tech community in Norfolk/Virginia Beach, USA on Docker and Code for America. I help online: usually in Slack, Gitter, Twitter, and IRC for Docker and other DevOps topics, where I learn from and help others.

  

"There are a lot of Docker courses on Udemy -- but ignore those, Bret is the single most qualified person to teach you." - Kevin Griffin

Giving Back: 3% of my profit on this course will be donated to supporting open source and protecting our freedoms online! This course is only made possible by the amazing people creating open source. I'm standing on the shoulders of (open source) giants! Donations will be split between the Electronic Frontier Foundation and Free Software Foundation. Look them up. They're awesome!

This is a living course, and will be updated as Docker features and workflows change.

This course is designed to be fast at getting you started but also get you deep into the "why" of things. Simply the fastest and best way to learn the latest docker skills. Look at the scope of topics in the Session and see the breadth of skills you will learn.

Also included is a private Slack Chat group for getting help with this course and continuing your Docker and DevOps learning with help from myself and other students.

"Bret's course is a level above all of those resources, and if you're struggling to get a handle on Docker, this is the resource you need to invest in." - Austin Tindle

Some of the many cool things you'll do in this course:

• Edit web code on your machine while it's served up in a container
• Lock down your apps in private networks that only expose necessary ports
• Create a 3-node Swarm cluster in the cloud
• Use Virtual IP's for built-in load balancing in your cluster
• Optimize your Dockerfiles for faster building and tiny deploys
• Build/Publish your own custom images based on GitHub commits
• Create your own image registry
• Use Swarm Secrets to encrypt your environment configs, even on disk
• Deploy container updates in a blue/green deployment design
• Create the config utopia of a single YAML file for local dev, CI testing, and prod cluster deploys
• And so much more...

 

After taking this course, you'll be able to:

• Use Docker in your daily developer and/or sysadmin roles
• Make Dockerfiles and Compose files
• Build multi-node Swarm clusters and deploying H/A containers
• Build a workflow of using Docker in dev, then test/CI, then production with yaml
• Protect your keys, TLS certificates, and passwords with encrypted secrets
• Keep your Dockerfiles and images small, efficient, and fast
• Develop locally while your code runs in a container
• Protect important persistent data in volumes and bind mounts
• Lead your team into the future with the latest Docker container skills!

 

Extra things that come with this course:

• Access to the course Slack team, for getting help/advice from me and other students.
• Bonus videos I put elsewhere like YouTube.
• Tons of reference links to supplement this content.
• Updates to content as Docker changes their features on these topics.

 

Course Launch Notes: (3/31/2017) Today this course launches! Whew. More sections are coming as I finish editing them. Adding in May:

• Section 7: Container Registries: Image Storage and Distribution
• Section 8: Level Up Your Images and Containers For More Complex Requirements
• Section 9: Application Design, CI/CD and Developer Workflows
• Section 10: Advanced Networking: When The Defaults Aren't Enough
• Section 11: Operating Docker and Swarm in Production
• Maybe more...

Who is the target audience?

• Software developers, sysadmins, IT pros, and operators at any skill level.
• Anyone who makes, deploys, or operates software on servers.

Description

This course starts from scratch, you neither need to know Angular 1 nor Angular 2! (Angular 4 simply is the latest version of Angular 2)

Join the most comprehensive and popular Angular course on Udemy, because now is the time to get started! 

From Setup to Deployment, this course covers it all! You'll learn all about Components, Directives, Services, Forms, Http Access, Authentication, Optimizing an Angular App with Modules and Offline Compilation and much more - and in the end: You'll learn how to deploy an application!

But that's not all! This course will also show you how to use the Angular CLI and feature a complete project, which allows you to practice the things learned throughout the course!

And if you do get stuck, you benefit from an extremely fast and friendly support - both via direct messaging or discussion. You have my word! ;-)

Angular is one of the most modern, performance-efficient and powerful frontend frameworks you can learn as of today. It allows you to build great web apps which offer awesome user experiences! Learn all the fundamentals you need to know to get started developing Angular applications right away.

Hear what my students have to say

Absolutely fantastic tutorial series. I cannot thank you enough. The quality is first class and your presentational skills are second to none. Keep up this excellent work. You really rock! - Paul Whitehouse

The instructor, Max, is very enthusiastic and engaging. He does a great job of explaining what he's doing and why rather than having students just mimic his coding. Max was also very responsive to questions. I would recommend this course and any others that he offers. Thanks, Max!

As a person new to both JavaScript and Angular 2 I found this course extremely helpful because Max does a great job of explaining all the important concepts behind the code. Max has a great teaching ability to focus on what his audience needs to understand.

This Course uses TypeScript

TypeScript is the main language used by the official Angular team and the language you'll mostly see in Angular tutorials. It's a superset to JavaScript and makes writing Angular apps really easy. Using it ensures, that you will have the best possible preparation for creating Angular apps. Check out the free videos for more information.

TypeScript knowledge is, however, not required - basic JavaScript knowledge is enough.

Why Angular?

Angular is the next big deal. Being the successor of the overwhelmingly successful Angular.js framework it’s bound to shape the future of frontend development in a similar way. The powerful features and capabilities of Angular allow you to create complex, customizable, modern, responsive and user friendly web applications.

Angular 4 simply is the latest version of the Angular framework and simply an update to Angular 2.

Angular is faster than Angular 1 and offers a much more flexible and modular development approach. After taking this course you’ll be able to fully take advantage of all those features and start developing awesome applications immediately.

Due to the drastic differences between Angular 1 and Angular (=Angular 4) you don’t need to know anything about Angular.js to be able to benefit from this course and build your futures projects with Angular.

Get a very deep understanding of how to create Angular applications

This course will teach you all the fundamentals about modules, directives, components, databinding, routing, HTTP access and much more! We will take a lot of deep dives and each section is backed up with a real project. All examples showcase the features Angular offers and how to apply them correctly.

Specifically you will learn:

• Which architecture Angular uses
• How to use TypeScript to write Angular applications
• All about directives and components, including the creation of custom directives/ components
• How databinding works
• All about routing and handling navigation
• What Pipes are and how to use them
• How to access the Web (e.g. RESTful servers)
• What dependency injection is and how to use it
• How to use Modules in Angular
• How to optimize your (bigger) Angular Application
• We will build a major project in this course
• and much more!

Pay once, benefit a lifetime!

Don’t lose any time, gain an edge and start developing now!

Who is the target audience?

• Newcomer as well as experienced frontend developers interested in learning a modern JavaScript framework
• This course is for everyone interested in learning a state-of-the-art frontend JavaScript framework
• Taking this course will enable you to be amongst the first to gain a very solid understanding of Angular