MODULE 1: Introduction to Generative AI & LLMs

• What is Generative AI?

• AI vs ML vs NLP vs LLM

• GPT, Claude, Gemini, LLaMA

• Tokens, Temperature, Parameters

• Industry Use Cases

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  MODULE 2: Fundamentals of Prompt Engineering

• Zero-shot, One-shot, Few-shot Prompts

• Role-based & System Prompts

• Constraints, Context, Formatting

• Prompt Debugging & Hallucination Control

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  MODULE 3: Advanced Prompt Engineering Techniques

• Multi-step Reasoning

• ReAct, Tree of Thought, Self-Reflection

• RAG Prompting  Function Calling

• Coding & Data Prompts

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  MODULE 4: Prompting for Different Domain

• Content Writing

• Software Development

• Business & Marketing

• Data Analysis

• Education & Training

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  MODULE 5: Tools for Prompt Engineers

• ChatGPT, Claude, Gemini, Perplexity

• Midjourney / DALL·E

• PromptPerfect, FlowGPT

• OpenAI Playground & HuggingFace

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  MODULE 6: Automation With Prompts & APIs

• OpenAI API, Gemini API

• Python/JS for AI automation

• Tool Calling

• JSON Responses

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  MODULE 7: Building AI Agents

• AI Agent Concepts

• LangChain, CrewAI, AutoGen

• Memory, Tools, Workflows

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  MODULE 8: Image & Video Prompting

• DALL·E / Midjourney

• Video AI Prompts (Runway, Pika)

• MODULE 9: Ethics & Responsible AI

• Bias, Copyright, Safety

• Responsible Prompting

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  MODULE 10: AI Agents & Agentic Engineering

• What is an AI Agent?

• Agent architecture: Planner, Executor, Memory

• Multi-agent systems

• ReAct, AutoGPT, BabyAGI concepts

• Tool calling & Actions

• LangChain Agents

• CrewAI

• LlamaIndex agents

• OpenAI Agent spec

• Building automation bots

• Safety & constraints in agents

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  MODULE 11: Job Training & Portfolio

• Resume, Portfolio, Projects

• Mock Interviews

• Projects