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Introduction to FastAPI
Build production-ready APIs with FastAPI — a four-part series covering everything from first endpoints to scalable async architecture. You'll progress from setting up your environment and handling path/query parameters, to structuring data with Pydantic models, and finally leveraging Python's async concurrency to keep your API responsive under real-world load. Hands-on labs reinforce every concept.
Learning Path
•Fundamentals
Development Environments - Getting Started
Development Environments
Development environments are the first step on your automation journey.
This track will help define what a development environment is and provide some hands-on exposure to one solution.
Foundations Lab
•Fundamentals
•477 launches
Agent-2-Agent Protocol (A2A) - A Deep Dive
Explore the transformative potential of Google's Agent2Agent (A2A) protocol, enabling seamless AI agent collaboration across diverse systems. Discover how A2A's scalable, secure, and model-agnostic design can revolutionize intelligent automation, driving operational efficiency and innovation. Uncover why A2A might be the next leap in AI-driven business solutions.
Blog
•Jun 15, 2025
Model Context Protocol (MCP) - A Deep Dive
A deep technical dive into the specifics of how Model Context Protocol (MCP) works, how it relates to previous agentic systems and what the business implications are.
Blog
•Apr 21, 2025
Performance Benchmarking: Bun vs. C# vs. Go vs. Node.js vs. Python
I took 5 runtimes and built functionally identical REST APIs with each of them. Then I ran load tests for each application to measure their performance.
Blog
•Jun 13, 2023