AI & GENAI / INTERACTIVE LEARNING ROADMAP
From Software Engineer to AI Engineer.
Your journey from writing traditional software to engineering intelligent,
production-ready AI systems. Level up your skills, complete missions, and build
your way to becoming an AI Engineer.
EXPLORE THE FULL ROADMAP →
0 Foundations 1 pub. 1 Python & Data 1 pub. 2 ML Basics 1 pub. 3 Deep Learning 2 pub. 4 LLM Apps 0 pub. 5 RAG 1 pub. 6 Agents 2 pub. 7 Production 1 pub. 8 Mastery 0 pub.
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9 MISSIONS PUBLISHED · 100 XP EACH · NO PREREQUISITES — OPEN ANY MISSION
5 RAG & Knowledge-Based AI
Build AI applications that retrieve information from enterprise knowledge sources.
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5.1 What Is RAG, and Why Do AI Applications Need It? PUBLISHED 5.2 Document Ingestion, Parsing, and Chunking COMING SOON 5.3 Embeddings and Vector Similarity Search COMING SOON 5.4 Vector Databases: Milvus, pgvector, and Alternatives COMING SOON 5.5 Building an End-to-End RAG Pipeline COMING SOON 5.6 Hybrid Search, Metadata Filtering, and Reranking COMING SOON 5.7 RAG Evaluation: Faithfulness, Relevance, Precision, and Recall COMING SOON 5.8 Advanced RAG: Query Rewriting and Retrieval Optimization COMING SOON 1 OF 8 MISSIONS PUBLISHED IN THIS LEVEL
6 Agentic AI & Workflow Orchestration
Build controlled, multi-step AI workflows and tool-using agents.
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6.1 Agentic AI: Agents vs. Workflows PUBLISHED 6.2 Tool Calling and AI Agents COMING SOON 6.3 State, Memory, and Planning COMING SOON 6.4 LangGraph: Nodes, Edges, State, and Checkpointing COMING SOON 6.5 Human-in-the-Loop Workflows COMING SOON 6.6 Multi-Agent Systems: When and Why to Use Them COMING SOON 6.7 MCP: Model Context Protocol Explained PUBLISHED 6.8 Build a Production-Style AI Agent COMING SOON 2 OF 8 MISSIONS PUBLISHED IN THIS LEVEL
7 Production AI Engineering
Build secure, reliable, observable, and scalable AI systems.
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7.1 LLM Evaluation: Golden Datasets and Automated Testing PUBLISHED 7.2 Guardrails, Hallucination Mitigation, and Output Validation COMING SOON 7.3 AI Observability with LangSmith and CloudWatch COMING SOON 7.4 Prompt Injection and AI Application Security COMING SOON 7.5 Authentication, Authorization, Secrets, and Data Privacy COMING SOON 7.6 Cost Optimization, Caching, and Rate Limiting COMING SOON 7.7 Deployment with Docker, AWS, and CI/CD COMING SOON 7.8 Monitoring, Tracing, and Production Debugging COMING SOON 7.9 Responsible AI, Governance, and Human Oversight COMING SOON 1 OF 9 MISSIONS PUBLISHED IN THIS LEVEL
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DISTRIBUTED SYSTEMS · SCALABILITY · CACHING · MESSAGING · DATABASES · API DESIGN · EVENT-DRIVEN ARCHITECTURE · MICROSERVICES — IN PROGRESS
AWS · AZURE · CLOUD ARCHITECTURE · SERVERLESS · CONTAINERS · NETWORKING · OBSERVABILITY — IN PROGRESS
C# · .NET · PYTHON · FASTAPI · APIS · TESTING · CI/CD · CODE QUALITY — IN PROGRESS
INTERVIEW JOURNEY / PREPARATION & PERSPECTIVES
How I answer the hard questions. ALL PERSPECTIVES → PRINCIPAL · RAG · GENAI
How I approach RAG questions in senior AI engineering interviews — layered evaluation, honest trade-offs, and the production stories that matter.
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