Founder of Code and Game Academy
Mahesh Sir begins the session by introducing the world of Artificial Intelligence, its real-life applications, and why AI is one of the most in-demand skills in today’s tech industry. Students will understand how AI powers everything from chatbots to self-driving cars and how they can be a part of this future.
Mahesh Sir shows students how to quickly set up the right tools and environment for AI development using Python. This includes installing libraries, writing their first lines of AI-ready code, and preparing their system for practical work.
In this segment, Mahesh Sir explains the core principles of machine learning, how machines learn from data, and how algorithms like regression and classification work behind the scenes. Students will build a strong foundation in the logic that drives AI systems.
Mahesh Sir walks students through a live example of building a linear regression model. They’ll see how data is used to make predictions and how machine learning is applied in real-world scenarios like pricing models and forecasting.
Here, Mahesh Sir introduces the concept of neural networks — how they’re inspired by the human brain and how they form the foundation of deep learning. Students will grasp how AI systems are trained to recognize patterns and make decisions.
Mahesh Sir demonstrates how to build a basic neural network using the Keras library. This hands-on section gives students direct exposure to training a simple model and understanding how input, layers, and output come together to make predictions.
Mahesh Sir explains what makes deep learning different from traditional machine learning, and where it is used in real-world applications like facial recognition, natural language processing, and medical diagnosis.
To close the session, Mahesh Sir answers student questions, clears confusion, and gives direction on how to start building real AI projects and dive deeper into the field of artificial intelligence.
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