AI Courses free
The Ministry of Education has launched five AI courses. These courses are for students, teachers, and professionals. The special thing is that you don’t have to pay a single rupee to study these courses. These courses are completely free.
This is very useful news for students pursuing a career in AI. The Ministry of Education has launched several free courses in Artificial Intelligence, which students will not have to pay a single rupee to study. These courses are available on the Ministry of Education’s SWAYAM portal. Students, teachers, and professionals can study these courses. Let’s learn about five such free courses.
These courses teach essential AI and data science skills used in fields such as sports, education, science, and finance. These courses include AI/ML using Python, Cricket Analytics with AI, AI for Teachers, AI in Physics, AI in Chemistry, and AI in Accounting. Each program is designed to provide hands-on learning through real-world applications and case studies.
AI/ML using Python
This course introduces participants to artificial intelligence and machine learning concepts, using Python as a programming language for data science. This includes data visualization techniques, linear algebra, statistics, and optimization concepts. Learners will gain skills to design and evaluate Python-based data science solutions.
Cricket Analytics with AI
Focusing on sports analytics, this course will provide insight into how data science is used in cricket. Participants will learn about data collection, preparation, performance metrics such as strike rate and the BASRA index, and visualization of complex cricket data using Python.
AI for Educators
Designed for teachers, this course provides insights into integrating AI into teaching, assessment, and student engagement. Educators will learn to use AI tools to improve classroom teaching effectiveness, personalize learning, and increase productivity.
AI in Physics
This course combines experimental physics with AI technology. It provides hands-on exposure to machine learning and neural networks, enabling students to solve real-world physics problems using AI-based tools and simulations.
AI in Chemistry
Targeted at undergraduate science students, this course introduces AI applications in molecular prediction, reaction modeling, and drug design. Learners will work with real-world datasets and use Python-based techniques to solve chemistry-related problems.
AI in Accounting
Focusing on the intersection of finance and technology, this course explores how AI can be used for automation, fraud detection, financial forecasting, and data-driven decision-making in accounting practice.
ALSO READ : can we light diya on tulsi in morning
