GoofyCubes
Interview Edition

GenAI Project
Implementation Knowledge Base

A complete guide for architects, developers, and GenAI project teams — covering architecture, RAG, agents, security, DevOps, and production operations. Built for real interviews and real projects.

Start from Chapter 1 Interview Q&A Bank
26
Chapters
8
Parts
19
Code Examples
46
Interview Q&As

All 8 Parts

1
3 chapters

Project Foundation and Architecture

Use case definition, high-level architecture, and tool selection for GenAI projects.

Ch 1Ch 2Ch 3
Start Part 1
2
3 chapters

Core GenAI Concepts

LLMs, tokens, context windows, hallucinations, confidence scoring, and prompt engineering.

Ch 4Ch 5Ch 6
Start Part 2
3
2 chapters

RAG and Enterprise Knowledge

Retrieval-augmented generation, embeddings, chunking, and vector databases.

Ch 7Ch 8
Start Part 3
4
3 chapters

Agentic AI, LangChain, and LangGraph

Orchestration frameworks, stateful agents, and memory management.

Ch 9Ch 10Ch 11
Start Part 4
5
3 chapters

Security, Governance, and Healthcare Data

Prompt injection, PHI protection, data masking, and responsible AI.

Ch 12Ch 13Ch 14
Start Part 5
6
2 chapters

Python, APIs, and Copy-Paste Code

FastAPI services, error handling, logging, and evaluation patterns.

Ch 15Ch 16
Start Part 6
7
4 chapters

GitHub, CI/CD, Docker, and Kubernetes

Version control, pipelines, containerization, and scalable deployment.

Ch 17Ch 18Ch 19Ch 20
Start Part 7
8
6 chapters

Production Readiness, Monitoring, Cost, and Interview Prep

Cost optimization, monitoring, interview Q&A bank, quiz, and readiness checklist.

Ch 21Ch 22Ch 23Ch 24Ch 25Ch 26
Start Part 8

All Chapters

1Start with the Business Problem and Use CasePart 12High-Level GenAI Solution ArchitecturePart 13Tools Required for a GenAI ProjectPart 14LLMs, Tokens, Context Window, and Model ParametersPart 25Hallucinations, Confidence, and ValidationPart 26Prompt Engineering and Structured OutputsPart 27RAG: Retrieval-Augmented GenerationPart 38Embeddings, Chunking, and Vector DatabasesPart 39LangChain for Simple GenAI PipelinesPart 410LangGraph for Agentic WorkflowsPart 411Agent Memory, Context Management, and Context WindowsPart 412Security: Prompt Injection and Data ProtectionPart 513Prompt Injection: Mitigation and ImplementationPart 514Healthcare Data Protection, PHI, and Responsible AIPart 515Python and FastAPI for GenAI ServicesPart 616Error Handling, Logging, and EvaluationPart 617GitHub Branching, Pull Requests, and Code ReviewPart 718CI/CD for GenAI ProjectsPart 719Docker and Dockerfile FundamentalsPart 720Kubernetes Fundamentals for GenAI DeploymentPart 721Cost Analysis and OptimizationPart 822End-to-End Project Build PlanPart 823Production Monitoring and ObservabilityPart 824Interview Question BankPart 825Final QuizPart 826Production Readiness ChecklistPart 8