Artificial Intelligence and Courses

10 Best Artificial Intelligence Courses in 2021 [Updated]

Posted in 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.

Now you can learn Computer programming and Robotic programming on online forums anywhere, anytime without the hassle of boarding and transport. Through online classes, you can choose your class timings according to your busy schedule and learn such valuable skills from the comfort of your own space.

Best Artificial Intelligence Course

We have compiled a list of Artificial Intelligence 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 CertificateThis is the best artificial intelligence course which 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:

  • Machine learning, knowledge representation.
  • Logic and probabilistic models.
  • Robotics, natural language processing, and visual learning.

(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, students can apply for jobs in AI programming, Robotic Engineering, building AI for practical uses, and its application in business modules.

Prerequisites

  • 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:

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

Students can apply their extensive knowledge in AI to design real-world applications and sell them on completing 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 deeplearning.ai, established by the founding leader of Google brain and renowned Adjunct professor, Andre Ng of Stanford University.

The course covers topics such as:

  • Understanding 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 completing the course, 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:

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

On completing the course, students get a verified certification from Harvard, which helps students apply for jobs in AI programming, data sciences, etc. with better pay grade. Students who wish to use this certification for business can expect better deals.

Prerequisites

  • Programming Experience with Python, preferably with CS50.

Level: Beginner
Rating: 4.8
Duration: 7 weeks with 10-0 hours/week

You can sign up here.

5. IBM Applied AI certification course by Coursera

IBM Applied AI Professional CertificateIBM offers this incredible opportunity to instruct people to use Python, create virtual assistants and chatbots for your 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.
  • Creating 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.

On completing the course, students will gain an in-depth knowledge of AI. 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.org

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.
  • Creating 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, students 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.

Note: Unfortunately, Students from Iran, Cuba, and the Crimea region of Ukraine are refrained from this course due to licensing disputes.

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.

On completing the course, students 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 I-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:

  • Learning Vector Mathematics.
  • Implementing Vectors to move characters in different directions and navigating to goal locations.
  • Learning 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.
  • Learn complex behavioral patterns of wandering, fleeing, hiding, seeking pursuits, etc.
  • Creating crowd simulation to conjure city crowds and navigating them to complete various challenges.
  • Learn to convert Finite State Machines to function on NavMesh.
  • Introduction to behavior trees through careful and deliberate designing of nodes to influence behavioral afflictions.
  • Creating Goal Oriented Action Playing and adding actions to perform with global states and multiple hosts.

Students 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.

Upon completing the course, 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.

Prerequisites

  • 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.
  • Understanding Convolutional neural networks, Multi-layer neural networks, recurrent neural networks, and the process of deep learning

On 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.

Prerequisites

  • 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.

Upon completing the course, students can help social media sites in preventing various discrepancies at 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.

Prerequisites

  • 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.

Conclusion

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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