Learn Artificial Intelligence 2021 – Best Artificial Intelligence courses & Best Artificial Intelligence books

Best Artificial Intelligence Courses 2021


Best Artificial Intelligence books 2021


Best Artificial Intelligence tutorials 2021

Artificial Intelligence A-Z™: Learn How To Build An AI

Learn key AI concepts and intuition training to quickly familiarize yourself with all things AI. Covering:

How to start building an AI without any prior coding experience with Python
How to merge AI with OpenAI Gym to learn most effectively
How to optimize your AI to reach its maximum potential in the real world
Here’s what you’ll get with this course:

1. Comprehensive AI skills from beginner to expert – Learn how to code AI that automatically improves for various purposes. In fact, we code with you. Each tutorial starts with a blank page and we write the code from scratch. That way you can follow and understand exactly how the code is put together and what each line means.

2. Code Templates – Additionally, you will get downloadable Python code templates for each AI you create in the course. This makes creating a truly unique AI as easy as changing a few lines of code. If you free your imagination, the potential is limitless.

3. Intuition Tutorials – Where most courses simply bombard you with dense theory and get you on the right track, we believe in developing a deep understanding of not only what you are doing, but also what you are doing. reason why you are doing it. That’s why we don’t throw complex math at you, but focus on strengthening your intuition in AI coding to achieve infinitely better results down the line.

4. Real World Solutions – You will achieve your goal not only in 1 game, but in 3. Each module is made up of varying structures and difficulties, which means you will be skilled enough to create an AI adaptable to any real-life environment, rather than just taking a ‘test and forget’ glorified memory like most other courses. Practice really makes perfect.

5. Ongoing Support – We are fully committed to making this the most accessible and results-oriented AI course on the planet. It forces us to be there when you need our help. This is why we have set up a team of professional Data Scientists to support you on your journey, which means that you will receive a response from us within a maximum of 48 hours.

You will learn

Building an AI
Understand the theory behind artificial intelligence
Create a virtual autonomous car
Build an AI to beat the games
Solve real-world problems with AI
Master cutting-edge AI models
Deep Q learning
Deep Convolutional Q-Learning

Artificial Intelligence for Business

With artificial intelligence, there are three main things you can do for any business:

Optimizing business processes

Minimize costs

Maximize income

We’ll show you exactly how to make these applications successful, through real world business case studies. And for each of those apps, we’re going to create a separate ai to solve the challenge.

In part 1 – optimizing processes, we will build an ai that will optimize the flows in an e-commerce warehouse.

In part 2 – minimize costs, we will be creating more advanced ai that will minimize data center power consumption costs by more than 50%! Just like google did last year thanks to deepmind.

In part 3 – maximizing revenue, we’re going to create a different ai that will maximize revenue for an online retail business, earning it over $ 1 billion in revenue!

But that’s not all this time around, and for the first time, we’ve prepared a huge innovation for you. With this course you will get an incredible additional product, very valuable for your career:

“A 100-page book covering everything about artificial intelligence for businesses!”.

The book:

This book includes:

100 pages of crystal clear explanations, written in beautiful and clean latex

All ai intuition and theory including math explained in detail

The three case studies of the course and their solutions

Three different ai models including q-learning, deep q-learning, and thompson sampling

Code models

Homework and their solutions for you to practice

Plus, lots of additional techniques and tips like saving and loading models, stopping prematurely and much more.

You will learn
Optimize business processes
Master the general framework of ai
Implement q-learning
Save and load a template
Build an optimization model
Implement the early shutdown
Maximize efficiency
Maximize revenues
Minimize costs
Implement thompson sampling
Implement deep q-learning
Leverage ai to make the best decision
Create an ai environment from scratch
Implement e-learning
Building an artificial brain
Implement a regret analysis

Artificial Intelligence Masterclass

Do you like artificial intelligence? Want to learn how to build the most powerful AI model developed so far and even play against it? It sounds tempting …

Then the Artificial Intelligence Masterclass course is the right choice for you. This ultimate AI toolkit is all you need to nail it down easily. You’ll get a 10-hour step-by-step guide and the full roadmap that will help you build your own hybrid AI model from scratch.

In this course, we will teach you how to develop the most powerful artificial intelligence model based on the most robust hybrid intelligent system. So far, this model is proving to be the best cutting edge AI ever created by beating its predecessors in all AI competitions with incredibly high scores.

This hybrid model lives up to its model name around the world and combines all the cutting-edge models from different branches of AI including Deep Learning, Deep Reinforcement Learning, Policy Gradient and even Deep NeuroEvolution.

By registering for this course, you will have the opportunity to learn how to combine the models below in order to obtain the most efficient artificial intelligence system:

Fully connected neural networks

Convolutional neural networks

Recurrent neural networks

Variational automatic encoders

Mixed density networks

Genetic algorithms

Evolution strategies

Adaptation evolution strategy of the covariance matrix (CMA-ES)

Parameter exploration strategy gradients

Therefore, you don’t just get another simple AI course, but all in one package combining a course and a main toolkit, of the most powerful AI models. You will be able to download this toolkit and use it to create hybrid smart systems. Hybrid models are fast becoming the winners in the AI ​​race, so you need to learn how to deal with them already.

On top of all that, we’ll also give you the full implementations in the two AI frameworks: TensorFlow and Keras. So, whenever you want to create an AI for a specific application, you can just grab the model you need from the toolbox and reuse them for different projects!

Don’t wait to join us on this epic journey into harnessing the future of AI – hybrid AI models.

You will learn:

How to build an AI
How to build a smart hybrid system
Fully connected neural networks
Convolutional neural networks
Recurrent neural networks
Automatic encoders
Variational automatic encoders
Mixing density network
Deep reinforcement learning
Policy gradient
Genetic algorithms
Evolution strategies
Adaptation evolution strategies of the covariance matrix (CMA-ES)
Deep NeuroEvolution

The Beginner’s Guide to Artificial Intelligence in Unity.

Are your non-player characters lacking in drive and ambition? Are they slow, stupid, and constantly banging their heads against the wall? Then this course is for you. Join Penny as she explains, demonstrates, and helps you create your own NPCs in Unity with C #. All you need is a good knowledge of Unity, C #, and the ability to add two numbers together.

In this course, Penny reveals the most popular AI techniques used to create believable character behavior in games using her internationally renowned teaching style and her 25+ years knowledge of working with games, graphics and having written two award-winning books on gaming AI. Throughout, you’ll take hands-on workshops designed to teach you fundamental AI techniques used in today’s games. You will join as NPCs are programmed to hunt, patrol, shoot, run, mob and more.

Learn to program and work with:




algorithm A *



animated characters


Content and overview

The course begins with a detailed examination of vector mathematics which is at the heart of NPC movement programming. Subsequently, waypoint systems will be used to move characters around an environment before examining the Unity waypoint system for car racing with AI-controlled cars. This leads to an investigation of graph theory and the A * algorithm before applying these principles to the development of navmeshes and the development of NPCs able to find their way into a game environment. Before an aquarium is programmed with free-standing schools of fish, crowds of people will be examined, from the recreation of sidewalk traffic to groups of people fleeing danger. After looking at the different ways of moving NPCs in a game environment, their thinking skills will be discussed along with full explanations and other hands-on workshops using finite state machines and behavior trees.

Follow-up workshops included in the course are accompanied by starter Unity asset files and complete projects with solutions. Throughout there are also quizzes and challenge exercises to reinforce your learning and guide you in expressing your new knowledge.

By the end of this course, you will have gained a broad understanding of what AI is in games, how it works, and how you can use it in your own projects. It will equip you with a set of tools to examine one of the techniques presented in more depth to take your gaming environments to the next level.

You will learn

Design and program NPCs with C # in Unity
Explain how AI is applied to video games
Implement AI Unity Asset plugins in existing projects
Work with a variety of AI techniques to develop navigation and decision-making skills in NPCs

Best Artificial Intelligence books 2021

Artificial Intelligence: A Modern Approach

Artificial Intelligence A Modern Approach by Stuart Russell and Peter Norvig. The most comprehensive and up-to-date introduction to the theory and practice of artificial intelligence. The long-awaited review of Artificial Intelligence: A Modern Approach explores the full breadth and depth of the field of artificial intelligence (AI). The fourth edition brings readers up-to-date with the latest technology, presents concepts in a more unified way, and offers new or extended coverage of machine learning, deep learning, transfer learning, multi-agent systems, robotics, natural language processing, causality. , probabilistic scheduling, confidentiality, fairness, and secure artificial intelligence.

Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies

Artificial Intelligence and Machine Learning for Business A No-Nonsense Guide to Data Driven Technologies by Steven Finlay Cut out the hype and technical jargon that is often associated with these topics. Provides a simple and concise introduction for managers and entrepreneurs. The emphasis is on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies. This third edition has been substantially revised and updated. It contains several new chapters and covers a broader set of topics than before, but maintains the simple style of the original.

Life 3.0: Being Human in the Age of Artificial Intelligence

Life 3.0 Being Human in the Age of Artificial Intelligence by Max Tegmark. How will artificial intelligence affect crime, war, justice, employment, society, and our own sense of being human? The rise of AI has the potential to transform our future more than any other technology, and there is no one better qualified or better positioned to explore this future than Max Tegmark, an MIT professor who helped integrate research on how to make AI AI is beneficial.

Superintelligence: Paths, Dangers, Strategies

Superintelligence Paths, Dangers, Strategies by Nick Bostrom learn more about oracles, geniuses, singletons; on boxing methods, trigger threads and mental crimes; on the cosmic endowment and the differential technological development of humanity; indirect normativity, instrumental convergence, whole brain emulation, and technological couplings; Malthusian economy and dystopian evolution; artificial and biological intelligence
cognitive improvement and collective intelligence.


Bestseller No. 1
Artificial Intelligence: 101 Things You Must Know Today About Our Future - Updated Edition for...
  • Amazon Kindle Edition
  • Rouhiainen, Lasse (Author)
  • English (Publication Language)
  • 302 Pages - 01/31/2018 (Publication Date)
SaleBestseller No. 2
AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence
  • Moroney, Laurence (Author)
  • English (Publication Language)
  • 390 Pages - 10/27/2020 (Publication Date) - O'Reilly Media (Publisher)
Bestseller No. 3
Artificial Intelligence with Python Cookbook: Proven recipes for applying AI algorithms and deep...
  • Amazon Kindle Edition
  • Auffarth, Ben (Author)
  • English (Publication Language)
  • 470 Pages - 10/30/2020 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 4
Unity Artificial Intelligence Programming: Add powerful, believable, and fun AI entities in your...
  • Aversa, Dr. Davide (Author)
  • English (Publication Language)
  • 246 Pages - 11/30/2018 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 5
Machine Learning For Absolute Beginners: A Plain English Introduction (Second Edition) (Machine...
  • Amazon Kindle Edition
  • Theobald, Oliver (Author)
  • English (Publication Language)
  • 164 Pages - 06/21/2017 (Publication Date) - Scatterplot Press (Publisher)
Bestseller No. 6
FPGA Programming for Beginners: Bring your ideas to life by creating hardware designs and electronic...
  • Bruno, Frank (Author)
  • English (Publication Language)
  • 368 Pages - 03/05/2021 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 7
Machine Learning: 4 Books in 1: Basic Concepts + Artificial Intelligence + Python Programming +...
  • Amazon Kindle Edition
  • Mining, Ethem (Author)
  • English (Publication Language)
  • 498 Pages - 03/29/2020 (Publication Date)
SaleBestseller No. 9
Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and...
  • Jansen, Stefan (Author)
  • English (Publication Language)
  • 820 Pages - 07/31/2020 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 10
A.I. and Transhumanism - Creating the New Human
  • Amazon Prime Video (Video on Demand)
  • Jim Nichols (Actor)
  • Jim Nichols (Director)
  • English (Playback Language)
  • English (Subtitle)
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