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This guide is designed to help you master Generative AI through a structured, multi-phase journey. Each phase builds on the last, culminating in a series of final projects to showcase your skills.\n\n## 🚀 Phases Overview\n\n1. **Foundations (Weeks 1–2)**\n   - Python refresher\n   - Basic AI/ML concepts\n\n2. **Meet the LLMs (Weeks 3–4)**\n   - Explore major LLMs\n   - Hands-on with free/open models\n\n3. **Build with Frameworks (Weeks 5–6)**\n   - LangChain basics\n   - Hugging Face Transformers\n   - LangGraph intro\n\n4. **Data \u0026 Storage (Weeks 7–8)**\n   - Vector databases\n   - Graph databases\n\n5. **RAG \u0026 Chat over Docs (Weeks 9–10)**\n   - Retrieval-Augmented Generation (RAG)\n   - Context-aware chatbots\n\n6. **Agentic Workflows \u0026 Memory (Weeks 11–12)**\n   - AI agents\n   - Agent memory\n\n7. **Advanced Integrations (Weeks 13–14)**\n   - Multi-modal LLM apps\n   - Document→Graph + embeddings\n\n8. **Security \u0026 Guardrails (Weeks 15–16)**\n   - Prompt filtering\n   - Bias control\n\n9. **Orchestration \u0026 Tooling (Weeks 17–18)**\n   - LangGraph orchestration\n   - Human-in-the-Loop\n   - Tool binding \u0026 calling\n\n10. **Polishing \u0026 Fine-Tuning (Weeks 19–20)**\n    - LLM as judge\n    - Fine-tune a model\n    - Deploy \u0026 monitor\n\n## 🎯 Final Projects\n\n- **AI-Powered Legal Document Assistant**\n- **AI-Powered Chart Builder with Postgres**\n- **AI-Powered Resume Roasting**\n- **AI-Powered Candidate Search**\n- **AI-Powered Website Bot (Chat with Website)**\n\n## 📅 Timeline\n\n- **20 weeks total**: roughly five months of focused, part-time learning\n- **Weekly goals**: build a tiny project each week\n- **Milestones**:\n  - End of Month 1: simple chatbot\n  - End of Month 2: document Q\u0026A system\n  - End of Month 3: agentic workflow\n  - End of Month 4: secure, multi-modal app\n  - End of Month 5: deployed, fine-tuned GenAI solution\n\n## 📚 Resources\n\n- Online platforms like LeetCode for Python practice\n- Google Colab for free GPU access\n- Pre-trained models from Hugging Face\n- Neo4j for graph databases\n\n## 🤝 Contributing\n\nContributions are welcome! Please feel free to submit a Pull Request.\n\n## 📄 License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n---\n\nBy following this roadmap, you'll steadily progress from Python basics to building sophisticated, secure, and scalable GenAI applications. Good luck—and have fun exploring! ","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnitindahiya-dev%2Fgen_ai_roadmap","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnitindahiya-dev%2Fgen_ai_roadmap","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnitindahiya-dev%2Fgen_ai_roadmap/lists"}