📘 What’s Inside the eBook:

• 🗺️ 21-Day Structured Course — Complete visual learning with a system flow diagram for every single concept.
• 🛠️ 3 Real Production Builds — Hands-on implementation: LLM Assistant → RAG Engine → Autonomous Self-Healing Agents.
• 💬 100 System Interview Q&As — Senior design solutions paired with visual architecture diagrams so concepts stick.
• 🔐 Production Codebase — Ready-to-deploy Docker setups, LangGraph patterns, and enterprise guardrails.

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This is a 21-day AI & GenAI learning journey specially designed for DevOps Engineers, focusing on practical concepts and real-world applications.

The course covers LLMs, GenAI, AI-powered DevOps, automation, and hands-on use cases to help DevOps engineers integrate AI into their daily workflows.

🟦 Week 1 — LLM & GenAI Foundations

Day	Topic	Key Concepts	Learning Material
Day 1	🤖 AI, ML & GenAI Basics	AI vs ML vs Deep Learning · Generative AI · LLMs · Training vs Inference · LLM Limitations
Day 2	🧠 How LLMs Work	Tokens · Context Window · Transformer Basics · Attention · Model Parameters · Temperature
Day 3	✍️ Prompt Engineering	System/User Prompts · Few-Shot Prompting · Prompt Templates · Structured Output · Prompt Chaining · Prompt Security
Day 4	🤖 LLM APIs	API Basics · Authentication · API Requests · Parameters · Response Handling · Error Handling
Day 5	🤖 Provider-Agnostic Integration Basics	Common interface across providers · Abstracting SDK differences · Config-driven provider switching · Normalizing request/response formats · Fallback between providers · Vendor lock-in risks
Day 6	🤖 AI Application Architecture	LLM application architecture · Context management · Memory · Tools · APIs · Guardrails
Day 7	🚀 Mini Project — AI DevOps Assistant	Build a simple AI DevOps Assistant · Accept a DevOps question · Generate a structured answer

🟩 Week 2 — RAG

Day	Topic	Key Concepts	Learning Material
Day 8	🔎 RAG Fundamentals	RAG · Why RAG · RAG vs LLM · RAG vs Fine-tuning · RAG Architecture
Day 9	📄 Documents & Ingestion	Document Loaders · Markdown · YAML · JSON · PDFs · Data Cleaning · Metadata
Day 10	🧩 Chunking & Embeddings	Chunking · Chunk Size · Chunk Overlap · Embeddings · Embedding Dimensions · Semantic Similarity · Cosine Similarity
Day 11	🗄️ Vector Databases	Vector Databases · FAISS · Chroma · pgvector · Indexing · Metadata Filtering
Day 12	🎯 Retrieval	Top-K · Similarity Search · Keyword vs Semantic Search · Hybrid Search · Reranking · Retrieval Quality
Day 13	🛠️ Building RAG	Python · Ollama · Sentence Transformers · FAISS · Retriever · Prompt Construction · Context Injection
Day 14	🤖 RAG Project	DevOps Release Assistant · GitHub · YAML · PRs · Commits · Docs · Embeddings · FAISS · Retriever · Ollama

🟨 Week 3 — Agents, Security & Production

Day	Topic	Key Concepts	Learning Material
Day 15	🤖 AI Agents	AI Agents · Agent vs RAG · Agent Workflow · Planning · Tools · Multi-step Tasks
Day 16	🔧 Function Calling & Tool Use	Function Calling · APIs as Tools · GitHub API · CI/CD Actions · Tool Permissions · Human Approval
Day 17	⚙️ AI + DevOps	AI PR Review · Commit Analysis · CI/CD Failure Analysis · Log Analysis · Deployment Troubleshooting · Release Automation
Day 18	🔐 AI Security	Prompt Injection · Data Leakage · Secret Management · Access Control · PII · OWASP LLM Risks · Secure Tool Execution
Day 19	📊 LLMOps	Model Versioning · Prompt Versioning · Evaluation · Monitoring · Logging · Cost · Latency · Observability
Day 20	🔌 MCP + Modern AI Architecture	MCP · MCP Server/Client · Tools vs Resources · MCP + GitHub · MCP + DevOps · Agent + RAG + MCP
Day 21	🚀 Final Project + Interview	AI DevOps Release Assistant · Architecture · RAG · Agents · Tools · Security · Production · Interview Preparation

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