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AI Engineer Bootcamp: Build Real AI Agents & Get Job-Ready (GenAI + Agents) Curriculum
Agentic AI in Action — Real Automations That Actually Make Money
[PROJECT: 1] From Chatbots to AI Agents — How Enterprise-Grade GenAI Applications Actually Work
[PROJECT: 2] Behind the Scenes — API Keys, Backend Architecture & Your First LLM Project
Day 1: How ChatGPT, Claude & Grok Actually Work — The Foundation Every AI Engineer Must Know
Day 2: What Happens Behind the Chat Box — API Calls, System Prompts & Talking to LLMs Like an Engineer
Day 3: Python Setup + Your First Steps into Local AI with Ollama
Day 4: [PROJECT: 3] Running Ollama Locally — REST APIs, Streaming & Building a Multi-LLM Comparison Tool
Day 5: Prompt Engineering & Tool Calling — Building Your First Agentic AI Workflow
Day 6: [PROJECT: 4] Model Context Protocol (MCP) — The "USB-C for AI" Explained & Built From Scratch
Day 7: [PROJECT: 5] MCP Security, GitHub MCP in Action & Your First Look at N8N Automation
Day 8: [PROJECT: 6] Building AI Workflows with N8N — Triggers, Nodes & a Live Slack AI Agent
Day 9: LangChain Explained — Building Scalable AI Agents with Database & Model Flexibility
Day 10: [PROJECT: 7] LangGraph — Building Stateful AI Agents That Can Think, Backtrack & Decide
Day 11: [PROJECT: 8] RAG Explained — From Vector Search to Enterprise-Scale Async Architecture
Day 12: [PROJECT: 9] Giving AI Agents Memory — Checkpoints, Vector DBs & Graph Databases
Day 13: Securing AI Agents — Guardrails, Prompt Injection & Fine-tuning vs RAG
Day 14: Observability, System Design & The Real Role of an AI Engineer
Day 15: [PROJECT: 10 + 11] Real Enterprise Projects — Customer Support Agents, Voice AI & What Interviewers Actually Ask
GenAI + Agentic AI Interview Q&A 2026