The Best Artificial Intelligence online courses and tutorials for beginners to learn AI in 2020.

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Learn or improve your artificial intelligence online with one of the best online Tutorials and Courses for beginners.

In computer science, Artificial Intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals. In simpler words, AI as "a system's ability to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation."

Here, you will find the Top best 12 courses present on all of the internet for you to learn Artificial Intelligence in the comfort of your homes!

Top Artificial Intelligence Tutorials, Courses Certifications List

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

  2. AI For Everyone

  3. Artificial Intelligence: Reinforcement Learning in Python

  4. Introduction to Artificial Intelligence (AI)

  5. Learn Artificial Intelligence Fundamentals

  6. Getting Started with AI using IBM Watson

  7. The Beginner's Guide to Artificial Intelligence in Unity.

  8. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

  9. Artificial Intelligence for Business

  10. A beginners guide to artificial intelligence and machine learning.

  11. Artificial Intelligence 2018: Build the Most Powerful AI

  12. Artificial Intelligence Masterclass

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

This course has a learn to code self-improving AI for a range of purposes. Every tutorial starts with a blank page and the course writes up the code from scratch. This way you can follow along and understand exactly how the code comes together and what each line means. This makes building truly unique AI as simple as changing a few lines of code. If you unleash your imagination, the potential is unlimited.

Course rating: 4.3 out of 5.0 ( 13,571 Ratings total)

In this course, you will learn how to:

  • build an AI.
  • understand the theory behind Artificial Intelligence.
  • make a virtual Self Driving Car.
  • make an AI to beat games and also how to solve real world problems with it.
  • master the State of the Art AI models and understand the concept of Q-Learning, deep Q-Learning, and deep convolutional Q-Learning.

This course does not have any complex mathematics thrown at you, but focus on building up your intuition in coding AI, making for infinitely better results down the line. The course consists of 3 modules and each one is comprised of varying structures and difficulties, meaning you will be skilled enough to build AI adaptable to any environment in real life, rather than just passing a glorified memory.

You can take Artificial Intelligence A-Z™: Learn How To Build An AI Certificate Course on Udemy.

2. AI For Everyone

This course is not only for engineers and if you want your organization to become better at using AI, you can study this course as it will make you well educated in the field of AI irrespective of your educational background.

Course rating: 4.8 out of 5.0 ( 8,798 Ratings total)

In this course, you will learn:

  • meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science.
  • what AI realistically can and cannot do.
  • how to spot opportunities to apply AI to problems in your own organization.
  • what it feels like to build machine learning and data science projects.
  • how to work with an AI team and build an AI strategy in your company.
  • how to navigate ethical and societal discussions surrounding AI

Though this course is largely non-technical, engineers can also take this course to learn the business aspects of Artficial Intelligence deeplearning.

You can take AI For Everyone Certificate Course on Coursera.

3. Artificial Intelligence: Reinforcement Learning in Python

You will learn in this course, the reinforcement learning paradigm is more different from supervised and unsupervised learning than they are from each other. If you are ready to take on a brand new challenge, and learn about AI techniques that you have never seen before in traditional supervised machine learning, unsupervised machine learning, or even deep learning, then this course is for you.

Course rating: 4.5 out of 5.0 ( 6,445 Ratings total)

In this course, you will learn how to:

  • apply gradient-based supervised machine learning methods to reinforcement learning.
  • understand the reinforcement learning on a technical level.
  • understand the relationship between reinforcement learning and psychology.
  • implement 17 different reinforcement learning algorithms.

This course covers things like 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 (Q-Learning and SARSA), approximation Methods (i.e. how to plug in a deep neural network or other differentiable model into your RL algorithm), and Project: Apply Q-Learning to build a stock trading bot.

You can take Artificial Intelligence: Reinforcement Learning in Python Certificate Course on Udemy.

4. Introduction to Artificial Intelligence (AI)

In this course you will learn what Artificial Intelligence (AI) is, explore its use cases and applications of AI. You will also understand more AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI.  You will also demonstrate AI in action with a mini project.

Course rating: 4.7 out of 5.0 ( 75 Ratings total)

In this course, you will you will learn:

  • what is AI, its applications and use cases and how it is transforming our lives.
  • terms like Machine Learning, Deep Learning and Neural Networks.
  • how to describe several issues and ethical concerns surrounding AI.
  • how to articulate advice from experts about learning and starting a career in AI.

This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.

You can take Introduction to Artificial Intelligence (AI) Certificate Course on Coursera.

5. Learn Artificial Intelligence Fundamentals

In this course, you will acquire the knowledge of the fundamentals concepts of the field of Artificial Intelligence. This course is designed specifically for beginners where you will take your lessons step by step through an intuitive curriculum.

Course rating: 4.4 out of 5.0 ( 371 Ratings total)

In this course, you will learn the:

  • definition of Artificial Intelligence.
  • application of Artificial Intelligence.
  • history of Artificial Intelligence.
  • definition of Machine Learning.
  • different types of Machine Learning
  • industry Situation and Opportunities
  • Expert Systems, computer Vision, and Fuzzy Logic System.

You can take Learn Artificial Intelligence Fundamentals Certificate Course on Eduonix.

6. Getting Started with AI using IBM Watson

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. This course does not require any programming or computer science expertise and is designed for anyone whether you have a technical background or not.

Course rating: 4.5 out of 5.0 ( 947 Ratings total)

In this course, you will :

  • how Watson AI works.
  • the many ways Watson AI is helping professionals and businesses reimagine their workflows, learn more from less data, and protect their insights.
  • about some of the Watson AI services offered on the IBM Cloud.
  • how organizations can use Watson AI services and the types of situations in which each service applies.
  • about common use cases for AI, and look at some case studies involving Watson AI.

In this course, you will learn how to quickly and easily get started with Artificial Intelligence using IBM Watson. You will understand how Watson works, become familiar with its use cases and real life client examples, and be introduced to several of Watson AI services from IBM that enable anyone to easily apply AI and build smart apps. You will also work with several Watson services to demonstrate AI in action.

You can take Getting Started with AI using IBM Watson Certificate Course on Coursera.

7. The Beginner's Guide to Artificial Intelligence in Unity.

This course reveals the most popular AI techniques used for creating believable character behaviour in games using her internationally acclaimed teaching style and knowledge from over 25 years working with games, graphics. Throughout, you will follow along with hands-on workshops designed to teach you about the fundamental AI techniques used in today's games.

Course rating: 4.5 out of 5.0 ( 1,421 Ratings total)

In this course, you will learn how to:

  • design and program NPCs with C# in Unity.
  • apply AI in computer games.
  • implement AI-related Unity Asset plugins into existing projects.
  • work with a variety of AI techniques for developing navigation and decision making abilities in NPCs.

At the completion 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 toolset to examine any of the techniques presented in more depth to take your game environments to the next level.

You can take The Beginner's Guide to Artificial Intelligence in Unity. Certificate Course on Udemy.

8. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.

Course rating: 4.7 out of 5.0 ( 196 Ratings total)

In this course, you will learn the:

  • best practices for using TensorFlow, a popular open-source machine learning framework.
  • how to build a basic neural network in TensorFlow.
  • process of training a neural network for a computer vision application.
  • technique of using convolutions to improve your neural network.

The Machine Learning course and Deep Learning Specialization teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning A.I. TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. All of this is to develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.

You can take Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning Certificate Course on Coursera.

9. Artificial Intelligence for Business

This coure is divided into three parts with their case study and their solution through A.I.

In Part 1 - You will build an AI that will optimize the flows in an E-Commerce warehouse.

In Part 2 - You will build a more advanced AI that will minimize the costs in energy consumption of a data center by more than 50%! Just as Google did last year thanks to DeepMind.

Course rating: 4.4 out of 5.0 ( 1,530 Ratings total)

In this course, you will learn how to:

  • optimize business processes and master the General AI Framework.
  • implement Q-Learning, Early Stopping, Thompson Sampling, Deep Q-Learning, and Regret Analysis.
  • save and Load a model and build an Optimization Model.
  • maximize Efficiency and revenues when minimizing costs.
  • leverage AI to make the best decision.
  • build an AI Environment from scratch.
  • build an Artificial Brain.

Lastly, in Part 3 - You will build a different AI that will maximize revenue of an Online Retail Business, making it earn more than 1 Billion dollars in revenue!

You can take Artificial Intelligence for Business Certificate Course on Udemy.

10. A beginners guide to artificial intelligence and machine learning.

Machine learning is one of the most important areas of Artificial Intelligence. It provides developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data.  It can be applied across many industries to increase profits, reduce costs, and improve customer experiences.

Course rating: 4.3 out of 5.0 ( 66 Ratings total)

In this course, you will learn:

  • the fundamental concepts of AI and applications of machine learning.
  • different classification and regression techniques.
  • clustering, including k-means and k-nearest Neighbors.
  • decision Trees to decode classification.

In this course, you will be given a short introduction to the field of machine learning. It will make the fundamentals and algorithms of machine learning accessible to anyone. This means plain-English explanations and no coding experience required.

You can take A beginners guide to artificial intelligence and machine learning. Certificate Course on Eduonix.

11. Artificial Intelligence 2018: Build the Most Powerful AI

In this course, you will learn the kind of AI which is based on a genius idea and that you can build from scratch and without the need for any framework. This game-changing AI is called Augmented Random Search, ARS for short and in a very simple implementation, it is able to do an exact same thing that Google Deep Mind did in their accomplishment last year  - which is to train an AI to walk and run across a field.

Course rating: 4.4 out of 5.0 ( 723 Ratings total)

In this course, you will learn how to:

  • build an AI and understand the theory behind augmented random search algorithm.
  • build the most powerful AI algorithm and train and implement ARS algorithm.
  • train AI to solve same challenges as Google Deep Mind.

You can take Artificial Intelligence 2018: Build the Most Powerful AI Certificate Course on Udemy.

12. Artificial Intelligence Masterclass

In this course, you will learn how to develop the most powerful Artificial intelligence model based on the most robust Hybrid Intelligent System. So far this model proves to be the best state of the art AI ever created beating its predecessors at all the AI competitions with incredibly high scores.

Course rating: 4.4 out of 5.0 ( 660 Ratings total)

In this course, you will learn:

  • how to build AI and a Hybrid Intelligent System.
  • how to create fully-Connected Neural Networks, convolutional Neural Networks, and recurrent Neural Networks.
  • about autoEncoders, variational AutoEncoders, mixture Density Network, and deep Reinforcement learning.
  • also about Policy Gradient, Genetic Algorithms, and Evolution strategies.

This Hybrid Model is aptly named the Full World Model, and it combines all the state of the art models of the different AI branches, including Deep Learning, Deep Reinforcement Learning, Policy Gradient, and even, Deep NeuroEvolution.

You can take Artificial Intelligence Masterclass Certificate Course on Udemy.


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