AI Agents: From Simple Tools to Autonomous Systems

Ever wondered how AI can automatically execute complex tasks? Or how chatbots can interact with real-world applications? This workshop explores the world of AI agents - systems that can observe, decide, and act autonomously.

Prerequisites

• Understanding of LLMs and RAG
• Basic Python programming knowledge
• Previous workshops in the series recommended

What You’ll Learn

• Prompting Strategies

• Chain of Thought

• Tree of Thoughts

• Implicit Chain of Thought

• Self-consistency

• AI Agents and basics:

• Function calling

• Structured output

• Different AI Agents Use Cases:

• Web agent

• SWE agent

• Security and instrumental convergence

By Workshop’s End

You’ll gain the ability to:

• Understand how AI Agents work and their modular components
• Prompt better and make use of API tools to run AI Agents on your own code
• Deploy safe and controlled agent systems

Ready to create AI systems that can think and act autonomously? Workshop Link