10 Best Artificial Intelligence Certification Courses 2021

Stanford University’s Artificial Intelligence Certification Program

This is the best artificial intelligence course, and it’s perfect for students studying computer programming and language programming, as well as software engineers who will eventually work with AI.

Subject covered are:

• Machine learning and knowledge representation
• Models based on logic and probabilistic models.
• Visual learning, robotics, and natural language processing

Rating: 4.8 on a scale of one to ten.

Duration: Dependent on the number of units selected.

A-Z of Artificial Intelligence

This course will teach you how to construct AI ideas for real-world applications using Artificial Intelligence techniques such as Machine Learning, Data Science, and Deep Learning.

Subject covered are:

• Artificial Intelligence, how it works, and what it can do.
• Designs for Artificial Intelligence.
• Intuition Q-learning, Deep Q-learning, and Deep Convolutional Q-learning are three types of Q-learning techniques.
• Learning how to use A3C.
• Advanced AI models.
• Create virtual self-driving vehicles.
• To test and defeat games, AI programming is used.
• Using diverse AI systems to solve real-world problems actively.

Beginner to expert level

Rate 4.3 out of 5

16 hours and 30 minutes in length

Coursera offers an AI course for everyone.

This course is offered by deeplearning.ai, founded by Andre Ng of Stanford University, the founder of Google Brain and a prominent Adjunct professor.

Subject covered are:

• What exactly is machine learning and what is it used for?
• Machine learning technical know-how and non-technical deep learning explanations
• Short quizzes to help you understand new or challenging ideas.

Beginner’s level

6 hours in length, 4.8 rating

EdX’s Introduction to Artificial Intelligence

Using Python is a great place to start. This fantastic opportunity to acquire a Verified Artificial intelligence Certification with Python from Harvard University allows you to comprehend and execute AI technology using complicated mathematical ideas.

Subject covered are:

• To comprehend the process of developing AI-powered devices, probability theories and logical reasoning are used.
• Machine learning, reinforcement learning, neural networks, and other data-processing techniques help construct AI.
• To use Bayesian networks and Markov models in your work.
• Working with Algorithms for Graph Search.
• Designing a constraint-satisfaction solution

Beginner’s level

Rating 4.8 out of 5

Duration: 7 weeks at a rate of 10 hours per week

Coursera offers an IBM Applied AI certification course.

This is a fantastic opportunity for people to learn Python, construct virtual assistants and chatbots for their businesses, and gain knowledge of neural networks, machine learning, and deep learning.

Subject covered are:

• using APIs to build AI-powered systems with minimal code, Python, and IBM’s Watson AI service.
• In the absence of physical customer service, use virtual assistants and chatbots to assist customers and clients.
• Vision approaches are used to upload different design and classification models.

Beginner’s level

4.6 out of 5

7-month program with 4 hours every week

edX has developed an AI application with Watson.

This course will teach you how to use IBM Watson to construct better AI algorithms with more realistic and humane responses and functionalities.

Subject covered are:

• Using AI to transcribe and assess large data sets and applying specialized functions to increase productivity.
• Chatbots can automatically improve their IQ by using Watson’s discoveries to absorb grievances.
• Watson was created to analyze tone and client preferences.

Rating — 4.6

Duration: 3 weeks at a rate of 2–4 hours per week

Build the most powerful AI

This course will teach you how to utilize Augmented Random Search (ARS) to develop powerful Artificial Intelligence models, as international corporations use them.

Subject covered are:

• Learn how to program artificial intelligence.
• Create advanced AI algorithms.
• Knowledge of ARS theory and application, as well as how to use the algorithm in practice.
• Preparing the AI model to tackle issues in the same way as Google Deep Mind does.

Intermediate level

5 hours,

Rating 4.5

Udemy’s Beginner’s Guide to AI in Unity

This course teaches you how to use C# to construct and navigate non-player characters in games on Google Play and the App Store. This course includes learning how to traverse NPCs and program decision-making abilities and creating NPCs, and apply them in pre-existing applications.

Subject covered are:

• Mathematical vectors.
• Using Vectors to move characters in various directions and navigate to desired areas.
• To navigate automobiles and build race programs, Unity’s Vehicle system and Waypoint system are used.
• In-depth understanding of waypoints gained through graph and pathfinding and the creation of waypoints in 2D.

Beginner’s level

4.5-star rating

Time: 10 hours and 50 minutes

Udemy’s AI Master Class

Subject covered are:

• Fully linked neural networks: understanding and implementation
• Genetic Algorithms, Evolutionary Strategies, and Policy Gradients are all used in this project.
• NeuroEvolution and deep learning of recurrent neural networks are used to create hybrid intelligence systems.

Advanced level

4.4 out of 5

12 hours in length

Udemy’s AI Managers course

Through in-depth machine learning and deep learning techniques, this course gives you a thorough understanding of the technical components of AI.

Subject covered are:

• Techniques for seeing opportunities and incorporating AI into your company plan.
• Teach students how to handle AI projects more effectively to get outstanding results.
• Preventing various underfit and overfit candidacy difficulties, as well as business module regularisation
• Using the Scikit library to program more effectively using Python.

Beginner’s level

4.3 out of 5

1 hour 50 minutes in length