AI Framework Tutorials

This is will be a collection of tutorials examining how to build on specific frameworks or protocols such as LangGraph, MCPs, A2A, OpenAI SDKs CrewAI and more. The goal is to get you acquainted on how frameworks can be used to deliver solutions quickly.

Prompt Circle

Recently added

Lesson 2

Research MCP Server Overview

This lesson teaches you how to build AI-powered research agents using Bright Data's tools and the Google Agent Development Kit (ADK) to efficiently extract and analyze e-commerce data. Learn to leverage web scraping, data visualization, and seamless Slack app integration for competitive intelligence and streamlined research workflows.

14mJun 26, 2025

Free

Lesson 1

Google A2A Overview

This lesson explores the complexities of building interoperable AI agents, focusing on Google's Agent2Agent (A2A) protocol. It covers key components like agent cards, tasks, streaming for real-time updates, and practical implementation using Python and frameworks like FastAPI, addressing the challenges of framework proliferation and promoting efficient agent communication.

20mJun 19, 2025

Free

Lesson 1

Investment Analyst MCP - Server/Client and Slack App

This lesson demonstrates building and using Model Context Protocol (MCP) servers to extend Large Language Models (LLMs) with external functionalities. Through practical examples like a weather application and financial analysis tools integrated with Slack, it showcases MCP's versatility in enhancing LLMs and streamlining client-server interactions.

13mJun 1, 2025

Free

All lessons

Lesson 1