What You'll Learn 

• Build intelligent AI agents using ReAct: Learn how to implement the Reasoning + Acting framework to create agents that think through problems systematically, use external tools like search engines and calculators, and adapt their approach based on results.
• Design robust tool integration systems: Master the art of creating and integrating custom tools that extend your agent's capabilities, from web search and mathematical calculations to domain-specific functions tailored to your use case.
• Implement stateful conversation management: Understand how to maintain context across multi-step reasoning processes, ensuring your agent can build upon previous interactions and maintain coherent problem-solving sessions.
• Create transparent reasoning systems: Build AI agents that explain their thinking process, making their decision-making transparent and trustworthy for users who need to understand how solutions are reached.

Who Should Enroll

• AI/ML Engineers with 1-3 years of experience looking to advance beyond basic model deployment into sophisticated agent architecture. This project will teach you how to build production-ready intelligent systems that can handle complex, multi-step problems in real-world applications.
• Software Developers transitioning into AI who want to understand how to build intelligent systems that go beyond simple API calls. You'll learn to architect agents that can reason, plan, and execute complex workflows autonomously.
• Technical Product Managers who need to understand the capabilities and limitations of intelligent agents. This hands-on experience will give you the technical depth to make informed decisions about AI system design and implementation.
• Research Scientists working on AI applications who want to implement state-of-the-art reasoning frameworks in their projects. The ReAct approach represents cutting-edge research in AI agent design, applied to practical problems.

Why Enroll 

What You'll Need