Top no-paid courses to take up in 2022

Here is the list of top free AI courses available today to sharpen your analytical brain

In today’s digital world you don’t have to take years out of your life studying at university to become familiar with this seemingly complex technology. You will get everything online. And you can learn these courses for free also. AI is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment. Taught by the top researchers and educationists of the best universities globally, these artificial intelligence courses are worth taking up. Let’s browse some of these free AI courses from the leading course providers. Here is the list of such AI courses:

Welcome to Artificial Intelligence: It is a non-technical course that offers insights into the road map to AI. The course provides in-depth knowledge of artificial intelligence and machine learning. This course can be taken up by artificial intelligence, machine learning, and deep learning aspirants by Udemy.

Learn with Google AI: This course is part of Google’s plan to broaden the understanding of AI among the general public. This can be taken up by a basic introduction to machine learning, getting started with TensorFlow, and designing and training neural nets.

Introduction to artificial intelligence: This course introduces you to the world of Artificial Intelligence along with the introduction to subfields of Neural Networks, Natural Language Processing, and Computer Vision.

AI for leaders: AI is set to transform almost every aspect of a business. So this course will teach how AI will impact customers, employees, investors, operations, and product/service offerings.

Applied AI with deep learning: This course will help you to understand different aspects of deep learning and models, and their usage by experts in Natural Language Processing, Computer Vision, Time Series Analysis, and many other disciplines by IBM on Coursera.

MIT – Deep-learning for self-driving cars: With this course, MIT takes the approach of using one major real-world aspect of AI as a jumping-off point to explore the specific technologies involved. This is a course taught at the bricks ‘n’ mortar university for the first time last year, and all of the materials including lecture videos and exercises are available online.

Fundamentals of Artificial Intelligence: This course covers the basics of machine learning using Python, a popular programming language by NPTEL. It offers an overview of the principles and practices of AI to address complex real-world problems like automatic scheduling or autonomous driving. The course is designed to develop a basic understanding of problem-solving, knowledge representation, reasoning, and learning methods of Artificial Intelligence.

IBM Applied AI Professional Certificate: This course also requires the participants to complete several projects to understand the application of AI, build AI-powered solutions, IBM Watson AI services, and APIs to create smart applications with minimal coding by IBM on Coursera.

Artificial Intelligence for Robotics: This course can be taken up by probabilistic inference, planning, search, localization, tracking, and control, with a focus on robotics by Georgia Tech Masters on Udacity. The program also covers extensive programming examples and assignments in the context of building self-driving cars.

Knowledge-Based AI: Cognitive Systems: With the help of this course, you will get to learn how to design knowledge-based AI agents, build a relationship between knowledge-based artificial intelligence, and learn about human cognition. This is a core course in artificial intelligence and is a part of the Online Master’s Degree.

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