Agentic Minds – Crew AI, Crew AI.
Course Description
Title : Build a Web Summarizer AI Agent Using Crew AI – Complete Hands-On Free Course
In today’s AI-driven world, intelligent automation and multi-agent collaboration are transforming how we interact with information. This free course introduces you to Crew AI, a powerful open-source Python framework that enables developers to build multi-agent AI systems — intelligent agents that work together to perform complex tasks autonomously.
Through this course, you will learn how to build a Web Summarizer Crew — a team of AI agents capable of fetching, reading, and summarizing web content efficiently. The project demonstrates how Crew AI can coordinate multiple agents, each with specialized roles such as “Researcher,” “Summarizer,” and “Reviewer,” to achieve a common goal: producing accurate and concise summaries from online articles, research pages, or reports.
A key highlight of this course is the integration of the Serper tool, a Google Search API wrapper that allows agents to access live web data dynamically. Using Serper, the Web Summarizer Crew can search the internet, extract relevant web pages, and then process them through its agents to produce meaningful summaries using large language models (LLMs) such as OpenAI GPT.
You’ll gain an in-depth understanding of how Crew AI’s architecture operates — from defining Agents with specific roles and backstories, assigning Tasks to structure their workflow, to orchestrating the overall Crew for smooth collaboration. Each agent can use tools like Serper, web scrapers, and text analyzers to independently process data and communicate results to other agents.
By the end of this hands-on course, you’ll have built a fully functional AI-powered Web Summarizer, learned how Crew AI handles inter-agent communication, and understood how to expand this system with new tools and workflows for various domains such as content creation, business intelligence, or research automation.
This course is perfect for AI enthusiasts, data scientists, and Python developers who want to explore Crew AI, understand multi-agent coordination, and apply these concepts to real-world automation scenarios — all while working on a practical, ready-to-deploy Proof of Concept (POC) project.
Who this course is for:
- Python developers or tech enthusiasts interested in experimenting with next-generation agentic frameworks like CrewAI.
- AI/ML students and researchers who want hands-on experience with CrewAI to automate research, content generation, or data analysis tasks.
- Beginners in AI and Machine Learning who want to explore how multi-agent systems work and how to build intelligent AI workflows.
- Professionals and innovators looking to integrate AI agents into business, marketing, or automation solutions.
