GH Repository · genieincodebottle
generative-ai
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
- stars
- 2,629
- 30-day movement
- starts with the next reading
- Related entries
- 60
- Connections
- 1
agent-frameworkagentic-frameworkn8n-workflowgenerative-ain8nlarge-language-modelclaudeJupyter Notebookopenai-apimodel-context-protocolgeminigenaiagentic-aigenai-usecaseinterview-questionslanggraphretrieval-augmented-generationllm-agentlangchainllm-evaluationmultimodalmcp
A GitHub repository collecting Generative AI learning resources: a roadmap, projects, use cases, interview and coding preparation material. It is written as Jupyter Notebooks and covers topics like LangChain, LangGraph, RAG, MCP, and n8n workflows.
You want a single structured starting point for learning generative AI and preparing for related interviews.
Use it to
- Follow the generative AI roadmap
- Build hands-on notebook projects
- Study real-world GenAI use cases
- Prepare for GenAI interviews
- Practice coding questions
For Developers and engineers learning generative AI or preparing for interviews
- Role
- agent-framework
- Language
- Jupyter Notebook
- Licence
- MIT
- Forks
- 635
- Last push
- 2026-09-13
topicsgenerative-ailearning-roadmapinterview-preparationlangchainragagentic-ai