AI Tutorials
Practical AI development tutorials
Articles
How to Build a Privacy-First Medical Image De-Identification⭐9
Learn to build a privacy-first MCP server with FastMCP to let Claude orchestrate medical image de-identification without accessing sensitive patient data.
How I Built an AI Data Agent That Answers Business Questions from Data⭐10
How I built a no-code AI data agent that answers business questions from warehouse data, using the Avocado Sales Analytics Agent as a step-by-step guide.
Claude Code Full Course: From Beginner to Master⭐8
Learn Claude Code from beginner to master in this free 1.5-hour course. Master AI-native dev, automation, MCP tools, and deployment workflows.
Building Document Structure with Loop Engineering: Recovering a⭐9
How to rebuild a PDF's missing table of contents from body typography for RAG systems, using loop engineering on heading styles to recover document structure.
What Modern QA Engineers Actually Do: It's More Than Finding Bugs⭐10
Modern QA engineers prevent defects, automate testing, and collaborate across development—evolving far beyond bug hunting in agile, CI/CD-driven environments.
Using Agents as Tools: The Agent-as-a-Tool Pattern with OpenAI⭐10
Learn how to use the agent-as-a-tool pattern with OpenAI Agents SDK, enabling a manager agent to delegate tasks to specialist agents for complex workflows.
Why Your Quantum Circuit Works in a Simulator but Fails on Real⭐10
Executing identical quantum circuits on simulators vs. real hardware yields different results due to quantum noise, causing errors from imperfect gates,
Prompt, Context, Loop: The Three Engineering Layers Every RAG⭐10
Explore the three engineering layers of RAG systems: prompt, context, and loop. Learn how each layer works and why their evolution isn't a simple sequence.
Building CLI Agents with Python and Ollama⭐10
Build a Python CLI agent with Ollama to automate terminal tasks using local LLMs, tool calling, and code execution workflows.
The AI Was the Easy Part: The Role of a Forward-Deployed⭐8
Why supply chains make AI hard: a forward-deployed engineer's role in untangling fragmented systems, 18-month data pipelines, and real-world implementation chal...