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Learning Path
OverviewLevel 0Environment & FoundationsLevel 1LLM Fundamentals & APIsLevel 2Building Simple GenAI ApplicationsLevel 3RAG Systems & Intelligent AgentsLevel 4Production Systems & DeploymentLevel 5Advanced GenAI TechniquesLevel 6Choose Your Specialization Path
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Your Learning Roadmap

A structured path through 7 progressive levels, taking you from understanding LLM fundamentals all the way to building production AI systems and specializing in your chosen domain.

Learning Pace
Self-paced
Time per Week
10-15 hours
Total Projects
130+
Checkpoints
28

Environment & Foundations

Set up your environment, then start with the latest quickstarts for OpenAI Agents, GPT-5.4 mini/nano, and Gemini Flash Live.

Key Topics

  • ✓ Python setup and virtual environments
  • ✓ Command line basics
  • ✓ API fundamentals
  • +5 more topics

Learning Details

Duration:4 hours
Difficulty:Beginner
Checkpoints:4
Est. Hours:4 hours

LLM Fundamentals & APIs

Understand how LLMs work and start building with GPT-5.5, Claude Opus 4.7, and Promptfoo-based eval workflows.

Key Topics

  • ✓ How LLMs work internally
  • ✓ Tokenization and context windows
  • ✓ Prompt engineering techniques
  • +5 more topics

Learning Details

Duration:1-2 weeks
Difficulty:Beginner
Checkpoints:4
Est. Hours:15 hours

Building Simple GenAI Applications

Create interactive GenAI apps using GPT-5.4, Gemini 3.1 Flash-Lite, and Gemma 4 for structured outputs and routing.

Key Topics

  • ✓ LangChain fundamentals
  • ✓ Structured outputs and JSON validation
  • ✓ Streamlit for UI building
  • +5 more topics

Learning Details

Duration:2-3 weeks
Difficulty:Intermediate
Checkpoints:4
Est. Hours:20 hours

RAG Systems & Intelligent Agents

Build retrieval-augmented generation systems and multi-step autonomous agents with modern tracing and handoffs.

Key Topics

  • ✓ Vector databases (Pinecone, Weaviate, Qdrant)
  • ✓ Embeddings and semantic search
  • ✓ Retrieval-augmented generation (RAG)
  • +5 more topics

Learning Details

Duration:3-4 weeks
Difficulty:Intermediate
Checkpoints:4
Est. Hours:25 hours

Production Systems & Deployment

Deploy GenAI applications at scale with monitoring, evaluation, benchmarking, and guardrails.

Key Topics

  • ✓ FastAPI for building APIs
  • ✓ Docker containerization
  • ✓ Database integration (PostgreSQL, MongoDB)
  • +7 more topics

Learning Details

Duration:3-4 weeks
Difficulty:Advanced
Checkpoints:4
Est. Hours:30 hours

Advanced GenAI Techniques

Master long-context reasoning, multimodal systems, and advanced optimization with GPT-5.5, Claude Opus 4.7, and Gemma 4.

Key Topics

  • ✓ Long-context workflows and model routing
  • ✓ Instruction tuning and LoRA
  • ✓ Multimodal models (vision, audio)
  • +6 more topics

Learning Details

Duration:4-5 weeks
Difficulty:Advanced
Checkpoints:4
Est. Hours:35 hours

Choose Your Specialization Path

Deep dive into app development, engineering, research, or product using the latest agents, benchmarks, and coding models.

Key Topics

  • ✓ Specialization paths available
  • ✓ AI App Developer - Full-stack GenAI apps
  • ✓ AI Engineer - System design, evaluation, and optimization
  • +3 more topics

Learning Details

Duration:8-14 weeks
Difficulty:Advanced
Checkpoints:0
Est. Hours:60 hours

Choose Your Specialization

At Level 6, you'll choose one of four specialization paths based on your career goals. Each path includes 4 specialized projects and deepens your expertise in a specific domain.

Explore Specialization Paths

Ready to Start?

Begin with Level 0 to set up your environment, or jump directly to Level 1 if you already have your dev setup ready.

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