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SYLLABUS
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UNIT I: INTRODUCTION TO GENERATIVE AI AND PROMPT ENGINEERING
UNIT II: NEURAL GENERATIVE MODELS
UNIT III: LARGE LANGUAGE MODELS (LLMs), RAG AND MCP
UNIT IV: MULTIMODAL GENERATION AND AGENTIC AI
UNIT V: EXPLAINABLE AI, GENERATIVE AI AND AGENTIC AI APPLICATIONS
LECTURE NOTES
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UNIT I: INTRODUCTION TO GENERATIVE AI AND PROMPT ENGINEERING
Lecture No:1 Generative AI Vs Discriminative AI
RESOURCE MATERIAL
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TEXT BOOKS
23EET401 GENERATIVE AI AND AGENTIC AI FOR ELECTRICAL ENGINEERS

Overview of Neural Networks for generation – Autoencoders and Variational Autoencoders (VAEs) – Generative Adversarial Networks (GANs): Architecture and intuition – Comparison of reconstructive and adversarial generation – Simple latent-space visualization

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