Artificial Intelligence and Courses

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10 Best Artificial Intelligence Courses in 2022

Posted in Artificial Intelligence, Courses
Artificial Intelligence courses

Artificial Intelligence is the future of the world. These days, every app, every website is employing AI for most of its functions. They are used for face recognition locks, to register and verify your security for transactions, and, of late, even put your face on various characters in gaming and non-gaming apps. Artificial Intelligence makes it all possible and more. Artificial Intelligence is a useful skill to keep under your belt, especially since it was all the rage right now, as the dot-com boom a few years ago. Employers are looking for people with diverse skill sets, expressly those who can help their companies advance into the Next Generation.

Best Artificial Intelligence Courses

We have compiled a list of Best Artificial Intelligence courses (Best AI Courses) offered by top-tier universities and online forums to help you acquire this expertise and further your career goals in great leaps.

1. Artificial Intelligence Certification Program by Stanford University

Artificial Intelligence Graduate Certificate

This is the best artificial intelligence course which is ideal for computer programming and language programming students and software engineers who eventually work with Artificial Intelligence. You can earn an AI certification from Stanford University under the tutelage of renowned Professor Andrew Ng.

The course covers topics such as:

(It is advisable to pair these courses with curriculums involving advanced statistics and probability for a better understanding of the subject)

On completing the course, learners can apply for jobs in AI programming, Robotic Engineering, building AI for practical uses, and its application in business modules.


  • A Bachelor’s degree with a 3.0 or higher grade point average.
  • Understanding of advanced probability.
  • Advanced statistics and advanced linear algebra.
  • Experience with programming in C/C++, Java, Python, or other similar languages.

Level: Intermediate
Rating: 4.8
Duration: Subject to the number of units chosen.

You can sign up here.

2. Artificial Intelligence A-Z

Artificial Intelligence A-Z™: Learn How To Build An AIThis course provides a thorough knowledge of Artificial Intelligence, such as Machine Learning, Data Science, and Deep Learning, to create AI designs for real-world applications.

The course covers topic such as:

  • Artificial Intelligence, it's working, and its uses.
  • Artificial Intelligence Designs.
  • Intuition Q-learning, Deep Q-learning, and Deep Convolutional Q-learning.
  • Learning to work with A3C.
  • Control advanced AI models.
  • Build Virtual Self-driving cars.
  • AI programming to test games and defeat them.
  • Actively solving real problems in the world by using various AI designs.

Candidates can apply their extensive knowledge in AI to design real-world applications and sell them after the course. They can also apply for jobs in advanced AI programming and help develop AI technologies in the real world.

Prerequisites: Basic knowledge of python and high school mathematics.

Level: Beginner to Expert
Rating: 4.3
Duration: 16 hours and 30 minutes

You can sign up here.

3. AI course for Everyone by Coursera

AI For EveryoneThis course is offered by, established by the founding leader of Google brain and renowned Adjunct professor, Andre Ng of Stanford University.

The course covers topics such as:

  • Machine learning and what its functions are.
  • The technical know-how of machine learning and non-technical explanations of deep learning.
  • Short quizzes to assist in grasping new and difficult concepts

Upon course completion, the student can evaluate their options of taking further courses of in-depth education in Artificial Intelligence to get better job offers and work with futuristic technology.

Prerequisites: None
Level: Beginner
Rating: 4.8
Duration: 6 hours

You can sign up here.

4. Introduction to Artificial Intelligence with Python by EdX

CS50's Introduction to Artificial Intelligence with PythonHarvard University brings forth this incredible opportunity to obtain a Verified Certificate in using AI with Python to understand and implement AI technology using complex mathematical concepts.

The course covers topics such as:

  • Probability theories and logical inference to understand the process of creating AI-powered devices.
  • Knowledge of machine learning, reinforcement learning, neural networks, and various other techniques to process data for building AI.
  • To work with Bayesian networks and Markov models.
  • Working with Graph Search Algorithms.
  • Creating constraint satisfaction designs.

You get a verified certification from Harvard at the end, which helps students apply for jobs in AI programming, data science, etc. with better pay grades. Students who wish to use this certification for business can expect better deals.


  • Programming Experience with Python, preferably with CS50.

Level: Beginner
Rating: 4.8
Duration: 7 weeks with 10 hours/week

You can sign up here.

5. IBM Applied AI certification course by Coursera

IBM Applied AI Professional CertificateIBM offers this excellent opportunity to instruct people to use Python, create virtual assistants and chatbots for their business, and learn about neural networks, machine learning, and deep learning.

The course covers topics such as:

  • Usage of minimal coding to create AI-powered programs with APIs, Python, and IBM’s Watson AI service.
  • Virtual assistants and chatbots to assist customers and clients in the absence of physical customer support for your business.
  • Application of vision techniques to upload various design and classification models.

Learners will gain an in-depth knowledge of AI by the end of this certification course. They can apply for jobs in Data Science, Machine responding, AI generation, etc. Additionally, acquiring the IBM Watson AI and learning to use it can support creating better levels of AI-generated assistance in their business.

Prerequisites: No prerequisites for this program.

Level: Beginner
Rating: 4.6
Duration: 7 months with 4 hours/week

You can sign up here.

6. AI application with Watson by edX

AI Applications with WatsonThis course provides a thorough understanding and application of IBM’s Watson to create smarter AI programs for more realistic and humane responses and functions.

The course covers topics such as:

  • Programming AI to transcribe and evaluate big data sets and apply specific functions to improve efficiency.
  • Chatbots to grasp grievances by improving its IQ through Watson's discovery automatically.
  • Designing Watson to analyze tone and customer preferences.

Upon completing the course, those who enroll in this course can design advanced chat-bots and virtual assistants to address clients and acquire necessary data. Complete knowledge of IBM Watson adds extra points to your Resume/CV along with a certification from IBM.

Prerequisites: None

Level: Intermediate
Rating: 4.6
Duration: 3 weeks with 2-4 hours/week

You can sign up here.

7. Artificial Intelligence 2018: Build the most powerful AI

Artificial Intelligence 2018: Build the Most Powerful AIThis course provides knowledge of Augmented Random Search (ARS) as used by multinational companies to build advanced Artificial Intelligence models

The course covers topic such as:

  • Learn to build Artificial Intelligence Programming.
  • Program powerful AI algorithms.
  • Knowledge in theory and application of ARS and how to use the algorithm in the real world.
  • Preparing the AI model to perform tasks like Google Deep Mind to solve various problems.

After the courses end candidates can apply for jobs in AI programming or apply the knowledge in creating AI programs to compete with Google Deep Mind to solve complex problems.

Prerequisites: Knowledge in Python coding and scripting, basic mathematics, and a PC compatible to run Anaconda.

Level: Intermediate
Rating: 4.5
Duration: 5 hours

You can sign up here.

8. Beginner’s Guide to AI in Unity by Udemy

The Beginner's Guide to Artificial Intelligence in Unity.This course explains how to create and navigate non-player characters in Google Play and App store games with C#. This course involves programming NPCs and implementing them in pre-existing software and learning to navigate NPCs and program decision-making abilities.

The course covers topics such as:

  • Vector Mathematics.
  • Implementing Vectors to move characters in different directions and navigating to goal locations.
  • ]Unity’s Vehicle system and Waypoint system to navigate cars and create racing programs.
  • In-depth knowledge of waypoints through graph and pathfinding and creating waypoints in 2D.
  • Traversing from Waypoint to NavMesh and learning to animate on NavMesh and sync agent speed in different sizes.
  • Complex behavioral patterns of wandering, fleeing, hiding, seeking pursuits, etc.
  • Crowd simulation to conjure city crowds and navigating them to complete various challenges.
  • Convert Finite State Machines to function on NavMesh.
  • Introduction to behavior trees through careful and deliberate designing of nodes to influence behavioral afflictions.
  • Goal-Oriented Action Playing and adding actions to perform with global states and multiple hosts.

You can apply these techniques in programming games or modify NPC behavior in pre-existing games on completing the course. They can apply for jobs in game design, game testing, etc.

Prerequisites: Experience with C# and familiarity with the Unity Game Development Engine.

Level: Beginner
Rating: 4.5
Duration: 10 hours 50 minutes

You can sign up here.

9. Master Class in AI by Udemy

Artificial Intelligence MasterclassThis course is the ultimate package to learn how to build powerful Artificial Intelligence and hybrid AI models.

The course covers topics such as:

  • Understanding and implementing fully connected neural networks.
  • Working with Genetic Algorithms, Evolution Strategies, and Policy Gradients.
  • Deep learning of recurrent neural networks and NeuroEvolution
  • Practice mixture density networking and more advanced formulas to make you an apt AI programmer.
  • Building Hybrid Intelligence systems.

Later, students will be equipped to perform innovative and progressive programming to cater to technology's ever-changing demands. They can acquire the most useful tools to create advanced AI models and apply them to more critical job roles in data science and Artificial Intelligence.


  • Knowledge of high school mathematics
  • coding experience

Level: Advanced
Rating: 4.4
Duration: 12 hours

You can sign up here.

10. Intro to AI for managers by Udemy

Introduction to Artificial Intelligence ( AI ) for ManagersHave you wondered how multi-layered neural networks tend to learn and adapt automatically? This course gives you a complete insight into the technical aspects of AI through in-depth machine learning and deep learning algorithms.

The course covers topics such as:

  • Techniques to identify opportunities and use AI to further your business project.
  • Teaches how to manage AI projects more efficiently to get exceptional results.
  • Preventing various under the fit and overfit candidacy issues and regularization of the business module
  • Coding with Python and using the Scikit library to program more efficiently.
  • Convolutional neural networks, Multi-layer neural networks, recurrent neural networks, and the process of deep learning

After completing the course, students will learn to optimize their business environment for maximum utility and output. They will also be adept at managing AI projects.


  • Basic knowledge of Mathematics and Algorithms and their technical descriptions.

Level: Beginner
Rating: 4.3
Duration: 1 hour 50 minutes

You can sign up here.

BONUS Artificial Intelligence Courses:

11. Google AI Powered by Google

Google has designed an education program to help people identify the use of Artificial Intelligence to further the social agenda in our various communities.

The course covers topics such as:

  • A basic understanding of machine learning, AI explorable, recommendation systems, and data clustering.
  • How to test and debug Machine learning and prepare data.
  • Using AI responsibly for the benefit of society.

Students become skilled to help social media sites in preventing various discrepancies at the ground level. It equips people with knowledge to prevent hacking and violations personally and identify inconsistencies in the system.

Prerequisites: No prerequisites for this course.

Level: Beginner
Rating: 4.0
Duration: Approximately 4 hours/topic

You can sign up here.

12. Reinforcement Learning in Python by Udemy

If you are a stock trader or wish to simplify your financial investments, this course is tailored for you.

The course covers topics such as:

  • Understanding reinforcement learning to avoid trivial tasks in machine learning.
  • Designing Bandit programming.
  • Usage of Bellman Equation and UCB1 code.
  • Understanding the relationship between psychology and how it affects reinforcement learning.

Students will be well-equipped to program their own bots to observe and analyze patterns for stock marketWatson'stments to earn higher returns on completing the course. This is a particularly useful tool to attain large margins in ROI.


  • Thorough understanding of Calculus, Linear regressions, Probability, Gradient descents.
  • Knowledge of Python and Numpy coding.

Level: Intermediate
Rating: 4.6
Duration: 12 hours and 30 minutes

You can sign up here.


Here we have listed the best AI Courses. Artificial Intelligence is quickly taking over the world. Its technologies are already in use in games and personal home maintenance. Smart cars and drones are already being tested for deployment. This is the time to acquire this incredible skill and dive headfirst into the process of revolution. You can be the one to create the ground-breaking technology that plunges humankind into the future, today.

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Ramya Shankar

Ramya Shankar

A cheerful, full of life and vibrant person, I hold a lot of dreams that I want to fulfill on my own. My passion for writing started with small diary entries and travel blogs, after which I have moved on to writing well-researched technical content. I find it fascinating to blend thoughts and research and shape them into something beautiful through my writing. View all posts by the Author

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