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Search: python-for-ai-engineers
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Showing 7 results from 17
MusaIslamFahad/python-for-ai-engineers
GitHub Jupyter Notebook MIT LicenseA comprehensive hands-on, AI-first Python curriculum with 80+ interactive Jupyter notebooks for AI Engineers from core basics to LLMs, RAG, Agents, and production AI systems.
External source
GitHub
MuhammadIbtisam/ai-engineer-roadmap
GitHub Python MIT LicenseA complete, hands-on roadmap to becoming an AI Engineer, from Python basics to production RAG, Agents, and Fine-Tuning. 10 modules, 20+ notebooks, 15 real projects. Free, open source, built for the community.
External source
GitHub
SreejanPersonal/Perplexity-Reverse-Engineered-API
GitHub Jupyter Notebook OtherReverse-engineered Perplexity API client in Python. Facilitates WebSocket communication for real-time AI responses, maintaining session integrity and handling asynchronous message queues
External source
GitHub
buabaj/xplore
GitHub Python MIT LicenseA python package built for data scientist/analysts, AI/ML engineers for exploring features of a dataset in minimal number of lines of code for quick analysis before data wrangling and feature extraction.
External source
GitHub
musamaanjum/ai-engineer-roadmap
GitHubA complete roadmap to become an AI/LLM Engineer in 2026. Free & paid courses, 5 portfolio projects, interview prep, and resources. For software engineers with Python & ML basics who want to break into AI. Covers Transformers, RAG, fine-tuning, agents, LangChain, MLOps, and deployment.
External source
GitHub
prabureddy/ai-research-agent-mcp
GitHub Python MIT License๐ Autonomous AI Research Engineer powered by MCP | Give it a task, watch it research the web, query your knowledge base, write & execute code, generate visualizations, and produce comprehensive reports with self-evaluation | Built for Claude Desktop | Python 3.10+ | RAG + Web Scraping + Code Sand... Read more
External source
GitHub
ideaportriga/magnet-ai
GitHub Python Apache License 2.0Magnet AI is a free, open-source, low-code platform for CRM consultants and application experts who understand the potential of Generative AI but aren't AI engineers. Magnet AI users can rapidly create AI-powered features, even without Python skills.
External source
GitHub
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