genieincodebottle/generative-ai resource

Health v2 · maintenance only

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2608 stars · 631 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated collection of Generative AI learning resources including a detailed roadmap, hands-on Jupyter Notebook projects, use cases, and interview/coding preparation material. It accompanies the AI-ML Companion interactive learning platform covering foundations through agentic AI and MLOps.

Use cases

• learn generative ai from scratch with a roadmap
• prepare for genai interview questions
• find hands-on llm and langchain projects
• understand retrieval augmented generation with examples
• study agentic ai and multi-agent systems
• learn model context protocol and llm evaluation
• practice genai coding interview problems

When to choose

• you want a structured, continuously updated GenAI learning path
• you prefer notebook-based hands-on projects alongside theory
• you are preparing for AI/ML or GenAI job interviews

When to avoid

• you need production-ready software or a deployable library
• you want a single focused tool rather than broad educational material

Facets

learning-resource · maturity active

machine-learning llm-inference rag agent-framework prompt-engineering mcp data-science artificial-intelligence machine-learning large-language-models tutorials education python cross-platform generative-ai roadmap interview-preparation jupyter-notebooks langchain langgraph n8n agentic-ai llm-evaluation multimodal ai-agents retrieval-augmented-generation

Member repositories

For agents

markdown · JSON · MCP: product_card(name="genieincodebottle/generative-ai")