M #1 : AI Foundation and Concepts

• • AI basics & evolution, types
• • Human vs artificial intelligence
• • AI in daily life & future possibilities

M #2 : Data Analytics > Machine Learning > Deep Learning

• • Descriptive analytics and power BI
• • Machine learning & data science
• • Deep learning & artificial neural networks

M #3 : AI in Real World Applications

• • AI in real world across industries, corporate functions, IT SDLC
• • AI first vs digital transformation
• • AI in your industry & profession

M #4 : AI Supplier Ecosystem

• • AI supplier ecosystem framework
• • Global & Indian firms in hardware, cloud, LLMs, Apps, services, BPaaS

M #5 : Responsible AI & Regulations

• • Ethical & responsible AI
• • Case study of Google's RAI policy
• • AI regulations across world, India

M #6 : AI in India

• • AI in Industries, AI in Education, AI in Gov
• • Opportunities, Challenges and Risks
• • AI Careers in India

M #7 : GenAI Foundation and Concepts

• • GenAI foundation, real world apps
• • GPT transformer architectures
• • LLM overview & evolution, types

M #8 : Prompt Engineering and LLMs

• • Prompt engineering foundation
• • Art of writing good prompts
• • Getting started with leading LLMs
• • OpenAI, Gemini, co-pilot and more

M #9 : AI Agents Foundation and Concepts

• • Agentic AI foundation, architectures
• • AI agents in real world applications
• • Demo: AI Agent for your Profession/Industry

M #10 : Explore AI Agents - Digital Assistants with Live Demos

• •Agentic AI foundation,
• •AI Agents in real world
• •Demos: Five AI Agentic Applications

M #11 : What next in AI Adoption

• •Ideate and Present your AI Use Case (POC Opportunity)