AI and ML using PythonThis course introduces AI and machine learning fundamentals using Python. It covers data visualisation, linear algebra, statistics and optimisation techniques. Learners will gain the ability to design and evaluate Python-driven data science solutions for real-world use cases. Cricket analytics with AIFocused on sports analytics, this course explains how AI processes cricket data. Participants learn about data collection, preparation, performance metrics such as strike rate and BASRA index, along with Python-based visualisation techniques that simplify complex cricket insights. AI for educatorsDesigned specifically for teachers, this programme helps educators integrate AI into lesson planning, assessments and student engagement. It aims to enhance productivity in classrooms, improve learning outcomes and personalise teaching through AI-powered tools. AI in physicsThis course connects experimental physics with AI applications. Students receive hands-on experience with machine learning models, neural networks and simulations that help solve physics problems through data-driven methods. AI in chemistryTargeted at undergraduate science students, this programme covers AI applications in molecular prediction, reaction modelling and drug design. Learners work with real datasets and apply Python techniques to chemistry-focused problem-solving. AI in accountingThis course explores how AI can transform finance workflows through automation, fraud detection, forecasting and data-driven decision-making. It is aimed at learners pursuing careers in accounting and financial analytics. How to enrolAll the courses are listed on the SWAYAM portal and are free to access. Learners receive certification after completing the programme, making the courses valuable additions for students and professionals aiming to strengthen their resumes.
