Best AI Agent Projects For FREE By DeepLearning.AI

AI agents are changing how we work with data, automate tasks, and improve business processes. If you’re looking for the best free AI agent projects by DeepLearning.AI, you’re in the right place!

I’m Aqsa Zafar, an AI enthusiast who loves sharing practical learning opportunities with aspiring AI professionals.

DeepLearning.AI offers free hands-on projects that teach you how to build AI agents. These projects guide you step by step, helping you create real-world applications using AI agent frameworks.

Now, without further ado, let’s get started and find “Best AI Agent Projects“–

Best AI Agent Projects

1. Multi AI Agent Systems with crewAI Project

If you’ve been relying on a single large language model (LLM) for AI tasks, you might be missing out on a better approach. Instead of using just one AI, why not build a team of AI agents that work together? In this project, I’ll walk you through how you can design a multi-agent system that automates tasks, assigns specialized roles, and improves workflow efficiency. And the best part? You can do it all using the crewAI open-source library—completely free.

What You’ll Learn

By the end of this project, you will:

• Learn how to boost AI performance by using multiple AI agents instead of just one.
• Automate multi-step tasks and business processes with an open-source tool.
• Assign specific roles to AI agents to improve task management and efficiency.

This isn’t just theory—you’ll actually build something useful while learning step by step.

Project Overview

• Instructor: João Moura (Founder & CEO of crewAI)
• Duration: 1 hour
• Level: Beginner
• Hands-on Learning: Yes
• Tools Used: crewAI Library

This project is designed to be practical and beginner-friendly, so even if you’re new to AI agents, you’ll be able to follow along.

Key Concepts You’ll Explore

As you go through this project, you’ll work with several important AI concepts:

• Role-playing: You’ll assign different roles to AI agents based on their tasks.
• Memory: Your agents will have short-term, long-term, and shared memory, helping them make better decisions.
• Tools: You’ll use built-in and custom tools to automate processes.
• Focus: You’ll learn to break down large, complex tasks into smaller, manageable steps.
• Guardrails: You’ll set up safeguards to handle errors, hallucinations, and infinite loops in AI responses.
• Cooperation: You’ll explore how AI agents can work together in a series, parallel, or hierarchical structure.

If you’ve ever wondered how AI teams could work together like humans, this project will give you hands-on experience.

How You Can Use This in the Real World

After completing this project, you’ll be able to apply what you’ve learned to tasks like:

• Customizing resumes and preparing for interviews
• Writing and editing technical articles
• Automating customer support inquiries
• Running customer outreach campaigns
• Planning and managing events
• Performing financial analysis and automating reports

This isn’t just an academic exercise—you’ll gain skills that can help you in your career or business.

How to Get Started for Free

Getting started is easy, and you don’t need any special setup. Just follow these steps:

Start Project- Multi AI Agent Systems with crewAI Project

• Click the Start Project button.
• A message will appear: Full Project, No Certificate – Click Continue.
• You’ll see a message: Welcome to the Project – This means you now have full access to the materials.
• Click Start Learning to go through the lessons and tools.
• Expand the Project Details dropdown for more information.
• Agree to the terms by clicking I agree to use this app responsibly.
• Click Launch App to start working on your AI agent project.

2. Building Your Own Database Agent

If you’ve ever wanted to query databases using natural language, this project will show you how. You’ll learn to build an AI agent that can interact with SQL databases without needing complex SQL queries. This means you can ask questions in plain English, and your AI agent will fetch the right data for you.

With Retrieval Augmented Generation (RAG) and function calling, you’ll make your AI agent smarter and more secure when handling database queries. Plus, you’ll use the Azure OpenAI Service to bring it all to life.

What You’ll Learn

By the end of this project, you will:

• Query SQL databases using natural language.
• Implement Retrieval Augmented Generation (RAG) to improve AI responses.
• Use function calling for safer and more efficient database interactions.
• Work with the Azure OpenAI Service to create a fully functional AI-powered database assistant.

You won’t just be learning concepts—you’ll be applying them with real hands-on coding.

Project Overview

• Instructor: Adrian Gonzalez Sanchez (Microsoft Data & AI Specialist)
• Duration: 1 hour
• Level: Beginner
• Hands-on Learning: Yes
• Tools Used: Azure OpenAI Service, LangChain

Key Concepts You’ll Explore

As you build your AI database agent, you’ll work with these essential AI and database concepts:

• Retrieval Augmented Generation (RAG): Improve the accuracy of AI responses.
• Natural Language Queries: Load CSV data and interact with databases without SQL knowledge.
• Function Calling: Ensure AI-generated SQL queries are secure and reliable.
• Assistants API: Optimize data retrieval and improve efficiency.

This project will save you time when working with databases and make querying data much easier.

How You Can Use This in the Real World

After completing this project, you’ll be able to:

• Automate report generation by asking AI for specific data.
• Build AI-powered data dashboards without writing SQL.
• Improve customer insights by querying user data with natural language.
• Develop AI assistants for business intelligence and analytics.

Whether you’re a data analyst, developer, or business owner, this skill will come in handy.

How to Get Started for Free

Start Project- Building Your Own Database Agent

1. Click the Start Project button.
2. Click Continue under Full Project, No Certificate.
3. After the welcome message, click Start Learning.
4. Expand the Project Details dropdown.
5. Accept the terms and click Launch App to begin working on your AI database agent.

If you’re ready to make databases more accessible with AI, this project is a great starting point.

3. AI Agents in LangGraph

If you’re looking to build AI agents with more control, this project is for you. You’ll learn how to create powerful AI-driven applications using LangGraph, an advanced tool that helps manage state, improve search results, and integrate human feedback into AI workflows.

This project is perfect if you want to build AI assistants that can handle complex workflows and remember past interactions.

What You’ll Learn

By the end of this project, you will:

• Build AI agents from scratch using LangGraph.
• Implement agentic search to retrieve multiple relevant answers.
• Learn how to manage state so your AI can remember past interactions.
• Integrate human-in-the-loop functionality for better AI control.

These are real-world AI techniques used in chatbots, virtual assistants, and research tools.

Project Overview

• Instructors: Harrison Chase (LangChain Founder) & Rotem Weiss (Tavily Founder)
• Duration: 1 hour
• Level: Intermediate
• Hands-on Learning: Yes
• Tools Used: LangGraph, Python, LLM

Key Concepts You’ll Explore

• LangGraph Components: Improve control and flexibility in AI workflows.
• Agentic Search: Retrieve multiple answers instead of just one.
• Persistence & State Management: Allow AI to remember past interactions.
• AI-Powered Writing Assistant: Develop an AI that can help with content creation.

This project is especially useful for building intelligent search tools and virtual assistants.

How You Can Use This in the Real World

Once you complete this project, you can:

• Create AI research assistants that retrieve multiple perspectives.
• Develop AI chatbots with memory and context awareness.
• Build AI-powered writing tools that assist with brainstorming and drafting.
• Design customer support AI agents that improve over time.

If you’ve ever wanted to build smarter, context-aware AI, this project is a great step forward.

How to Get Started for Free

Start Project- AI Agents in LangGraph

1. Click Start Project.
2. Click Continue under Full Project, No Certificate.
3. Click Start Learning after the welcome message.
4. Expand Project Details and accept the terms.
5. Click Launch App to start exploring LangGraph.

If you’re ready to push your AI skills to the next level, this project is worth your time.

4. AI Agentic Design Patterns with AutoGen

Ever wondered how AI agents collaborate and make decisions like humans? In this project, you’ll learn about agentic design patterns and how to use them to create AI that can plan, reflect, and work together.

Using AutoGen, you’ll build multi-agent systems that can solve complex tasks. Whether it’s AI-powered writing, customer interactions, or coding assistance, this project will show you how to do it efficiently.

What You’ll Learn

By the end of this project, you will:

• Build AI agents using AutoGen.
• Apply key agentic design patterns like Reflection, Tool Use, Planning, and Collaboration.
• Develop AI applications for writing, customer support, and finance.

This project is ideal if you’re looking to understand how multiple AI agents can work together in real-world scenarios.

Project Overview

• Instructors: Chi Wang & Qingyun Wu (AutoGen Creators)
• Duration: 1 hour
• Level: Beginner
• Hands-on Learning: Yes
• Tools Used: AutoGen, Python

Key Concepts You’ll Explore

• Multi-Agent Conversations: Build AI agents that interact with each other.
• AI-Powered Customer Onboarding: Automate customer interactions.
• Agent Reflection: Improve AI-generated content quality.
• Conversational AI Games: Develop AI that can play chess or roleplay.
• Coding Agents: Automate financial analysis and data processing.

This project will give you a deep understanding of AI collaboration, which is essential for advanced AI applications.

How You Can Use This in the Real World

After completing this project, you can:

• Develop AI writing assistants that brainstorm ideas.
• Create AI-powered customer service bots.
• Automate business planning and project management.
• Design AI-driven educational tools for learning and tutoring.

If you’re excited about building AI that thinks and collaborates, this project is a must-try.

How to Get Started for Free

Start Project- AI Agentic Design Patterns with AutoGen

1. Click Start Project.
2. Click Continue under Full Project, No Certificate.
3. Click Start Learning after the welcome message.
4. Expand Project Details and accept the terms.
5. Click Launch App to begin working on AI agents with AutoGen.

If you want to explore how AI agents work together, this project is a great way to start.

Final Thoughts

DeepLearning.AI’s Best AI Agent Projects give you a great way to practice AI automation, natural language processing, and improving business processes. These projects follow a clear learning path and help you build real-world applications, making them a good fit for both beginners and those with some experience.

If you want to improve your AI skills, try these Best AI Agent Projects for free. You’ll learn how to create AI agents that make tasks easier and save time.

Start exploring the Best AI Agent Projects now and build something useful today!

Thank YOU!

Explore more about Artificial Intelligence.

Though of the Day…

‘ It’s what you learn after you know it all that counts.’

– John Wooden