Artificial Intelligence (AI) is no longer science fiction. It is rapidly permeating all industries and having a profound impact on virtually every aspect of our existence. Whether you are an executive, a leader, an industry professional, a researcher, or a student - understanding the various aspects of AI is an essential 21st century skill. Here's a curated list of top 5 AI courses that you can take for free from the comfort of your homes.

• AI for Everyone — by Deeplearning.ai: This course is taught by Andrew Ng who helped launch the MOOC movement, and therefore, led to the founding of Coursera. Designed to make organisations become better at using AI, this course is meant specially for the non-technical people who wish to upskill for the AI ecosystem, though engineers can also take it to learn the business aspects of AI. It’s free to audit the course, which gives access to all course materials except graded items. It will take approx. 6 hrs to complete it on Coursera.
• Machine Learning - Linear Regression — by FutureSkills: This NASSCOM certified course will help you understand the various stages of a predictive modelling framework through a commonly used form of regression: Linear Regression. It is an advance level applied courses that focuses on the different aspects of building and evaluating a robust linear regression model, on real world datasets. The course provides 6 hands on data cases with guided approach for building appropriate solutions. It takes approx. 20 hrs to complete on LEAPS.
• Data Ethics, AI and Responsible Innovation — by University of Edinburgh : This story-driven course is taught by the leading experts in data science, AI, information law, science and technology studies, and responsible research and innovation. You will drill down into case studies, structured around core concerns being raised by society, governments and industry, such as bias, fairness, rights, data re-use, data protection and data privacy, discrimination, transparency and accountability. Completing this course will help you understand the challenges we are facing, and inspire you to design, criticise, and develop better intelligent systems to shape our future. This course will take approx. 7 weeks to complete on edX.
• Intro to Artificial Intelligence — by Peter Norvig and Sebastian Thrun: This course will introduce you to the basics of AI. Topics include machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing. It is a self-paced, intermediate level course and counts as credit towards an ML Nanodegree program on Udacity. It will take approx. 16 weeks to complete on Udacity. 
• Machine Learning Crash Course with TensorFlow APIs —by Google: Google's fast-paced, practical introduction to machine learning, this course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises. It is a self-study guide for aspiring machine learning practitioners. This course does not presume or require any prior knowledge in machine learning. It will take approx. 15 hrs to complete this course.

Fancy a career in AI? Explore more such learning opportunities that we have curated to help give your career a push in the right direction. INDIAai is the central hub for everything AI in India and beyond.

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