RAG from Scratch with Python: understand how it works
Implement RAG in Python from scratch, no frameworks: chunking, embeddings, cosine similarity, retrieval and augmented prompts. Understand the pieces.
Implement RAG in Python from scratch, no frameworks: chunking, embeddings, cosine similarity, retrieval and augmented prompts. Understand the pieces.
Build AI agents for free: no-code platforms, low-code options, and open source frameworks. What to use for your situation and what free actually covers.
DevOps revolutionized software development. DataOps is doing the same for data. Practical guide with tools and real cases.
Practical guide to learn Power BI from scratch without paying for courses. Free resources, learning path, and mistakes to avoid.
50 tested prompts for work, study, coding, and creativity. Work on ChatGPT, Claude, DeepSeek and other LLMs. Copy, paste, and adapt to your case.
What Cursor is, how it works, when to use it vs Copilot and Windsurf, updated 2026 pricing, and practical tips to get real value from day one.
What is generative AI and how it works. Real examples, types of generation (text, image, code), and its actual limits — explained without jargon.
What a Data Engineer is, what tools they use, what the real day-to-day looks like, and how to start if you come from Excel/Power BI.
Complete DeepSeek guide for 2026: free ChatGPT alternative. Web, mobile app, local install with Ollama, and key privacy considerations before you start.
Prompt engineering from a real 17-iteration experiment: the model knew the answer and discarded it. A 4-type failure taxonomy to stop iterating blindly.
Why host your own tools, what stack to use, the best self-hosted alternatives, and when it's NOT worth it.
Beginner's guide: what an AI agent is, how it differs from ChatGPT, real examples, and where to start.
Practical DAX guide for Power BI: when to use measures vs columns, 5 core functions, filter context explained, and common mistakes FAQ.
What Power Query is, when to use it instead of VLOOKUP, the 10 essential transformations, common mistakes, and an FAQ covering Excel 2016, Mac, and more.