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Learn to build sophisticated AI agents from scratch using modern frameworks like CrewAI, LangGraph, and LangChain in this comprehensive 2-hour workshop. Master the creation of agentic AI systems capable of performing complex, multi-step operations through integration of APIs, code execution, image generation, and advanced decision-making processes. Explore the fundamental components of AI agents including Thought, Action, Observation, and Response patterns while examining real-world applications and use cases. Set up development environments specifically designed for AI workflow creation and dive into hands-on implementation of ReAct agents using CrewAI. Discover planning, execution, and reflection techniques with LangGraph while mastering chain-of-thought prompting methods for custom agent development. Design and implement multi-step workflows that integrate external tools and APIs, learning to navigate the hidden biases present in large language models. Practice testing, debugging, and optimizing agent workflows for reliability and scalability using Python, OpenAI API, Anthropic, and Ollama. Gain practical experience with web scraping, web search integration, and custom AI agent framework creation that automates complex workflows. Access provided code notebooks and slides to follow along with structured modules covering agent concepts, basic implementation, workflow optimization, and comprehensive testing strategies. Ideal for intermediate to advanced AI practitioners seeking to build production-ready agentic systems.
