This course covers key AI and machine learning concepts, including supervised/unsupervised learning, neural networks, deep learning, and natural language processing, with an exploration of advanced topics like reinforcement learning and AI ethics.

The IoT course covers the architecture and components of IoT systems, including sensors, connectivity, data processing, and cloud integration, while also exploring applications across industries and emphasizing security considerations.

The course covers battery technology basics, types of batteries, energy storage systems, and their applications in renewable energy, along with the latest advancements and their impact on the future of energy.

This course introduces the fundamentals of blockchain technology, including its architecture, cryptographic principles, and consensus mechanisms. Participants will explore applications across various industries, focusing on smart contracts, decentralized applications (dApps), and the implications of blockchain for security and transparency.