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.

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9 MISSIONS PUBLISHED · 100 XP EACH · NO PREREQUISITES — OPEN ANY MISSION

The Software Engineer Foundation

Understand how existing software engineering skills transfer to AI engineering.

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  1. 0.1 What Is an AI Engineer? Roles, Responsibilities, and Career Paths PUBLISHED
  2. 0.2 Software Engineer vs. AI Engineer: What Actually Changes? COMING SOON
  3. 0.3 The AI Engineer Skill Map COMING SOON
  4. 0.4 Setting Up Your AI Engineering Environment COMING SOON

1 OF 4 MISSIONS PUBLISHED IN THIS LEVEL

Deep Learning & Transformers

Understand the foundations of modern language models.

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  1. 3.1 Neural Networks Explained for Software Engineers COMING SOON
  2. 3.2 Embeddings: Turning Meaning into Vectors PUBLISHED
  3. 3.3 Attention Mechanisms and Transformers COMING SOON
  4. 3.4 Tokens, Tokenization, and Context Windows COMING SOON
  5. 3.5 How Large Language Models Work COMING SOON
  6. 3.6 Model Parameters, Weights, and Inference COMING SOON
  7. 3.7 Quantization: FP32, FP16, INT8, and 4-Bit Models PUBLISHED
  8. 3.8 Local Models, GPU Memory, and Model Serving COMING SOON

2 OF 8 MISSIONS PUBLISHED IN THIS LEVEL

RAG & Knowledge-Based AI

Build AI applications that retrieve information from enterprise knowledge sources.

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  1. 5.1 What Is RAG, and Why Do AI Applications Need It? PUBLISHED
  2. 5.2 Document Ingestion, Parsing, and Chunking COMING SOON
  3. 5.3 Embeddings and Vector Similarity Search COMING SOON
  4. 5.4 Vector Databases: Milvus, pgvector, and Alternatives COMING SOON
  5. 5.5 Building an End-to-End RAG Pipeline COMING SOON
  6. 5.6 Hybrid Search, Metadata Filtering, and Reranking COMING SOON
  7. 5.7 RAG Evaluation: Faithfulness, Relevance, Precision, and Recall COMING SOON
  8. 5.8 Advanced RAG: Query Rewriting and Retrieval Optimization COMING SOON

1 OF 8 MISSIONS PUBLISHED IN THIS LEVEL

Agentic AI & Workflow Orchestration

Build controlled, multi-step AI workflows and tool-using agents.

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  1. 6.1 Agentic AI: Agents vs. Workflows PUBLISHED
  2. 6.2 Tool Calling and AI Agents COMING SOON
  3. 6.3 State, Memory, and Planning COMING SOON
  4. 6.4 LangGraph: Nodes, Edges, State, and Checkpointing COMING SOON
  5. 6.5 Human-in-the-Loop Workflows COMING SOON
  6. 6.6 Multi-Agent Systems: When and Why to Use Them COMING SOON
  7. 6.7 MCP: Model Context Protocol Explained PUBLISHED
  8. 6.8 Build a Production-Style AI Agent COMING SOON

2 OF 8 MISSIONS PUBLISHED IN THIS LEVEL

Production AI Engineering

Build secure, reliable, observable, and scalable AI systems.

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  1. 7.1 LLM Evaluation: Golden Datasets and Automated Testing PUBLISHED
  2. 7.2 Guardrails, Hallucination Mitigation, and Output Validation COMING SOON
  3. 7.3 AI Observability with LangSmith and CloudWatch COMING SOON
  4. 7.4 Prompt Injection and AI Application Security COMING SOON
  5. 7.5 Authentication, Authorization, Secrets, and Data Privacy COMING SOON
  6. 7.6 Cost Optimization, Caching, and Rate Limiting COMING SOON
  7. 7.7 Deployment with Docker, AWS, and CI/CD COMING SOON
  8. 7.8 Monitoring, Tracing, and Production Debugging COMING SOON
  9. 7.9 Responsible AI, Governance, and Human Oversight COMING SOON

1 OF 9 MISSIONS PUBLISHED IN THIS LEVEL

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SYSTEM DESIGN

Systems that hold up.

CATEGORY PAGE →

DISTRIBUTED SYSTEMS · SCALABILITY · CACHING · MESSAGING · DATABASES · API DESIGN · EVENT-DRIVEN ARCHITECTURE · MICROSERVICES — IN PROGRESS

CLOUD

Platforms that run.

CATEGORY PAGE →

AWS · AZURE · CLOUD ARCHITECTURE · SERVERLESS · CONTAINERS · NETWORKING · OBSERVABILITY — IN PROGRESS

SOFTWARE ENGINEERING

Craft that compounds.

CATEGORY PAGE →

C# · .NET · PYTHON · FASTAPI · APIS · TESTING · CI/CD · CODE QUALITY — IN PROGRESS

INTERVIEW JOURNEY / PREPARATION & PERSPECTIVES

How I answer the hard questions.

ALL PERSPECTIVES →