Advanced AI Agent Development - Build the Future with LLMs
Module 1: Introduction to Large Language Model APIs
Master the fundamentals of integrating and working with modern LLM APIs including OpenAI GPT-4, Claude, and other leading models. Learn authentication, rate limiting, token management, and cost optimization strategies. Understand different API endpoints, parameter configurations, and how to handle responses effectively for various use cases.
Module 2: OpenAI API Deep Dive
Comprehensive exploration of OpenAI's ecosystem including GPT-4, GPT-4 Vision, DALL-E, and Whisper APIs. Learn advanced prompt engineering techniques, function calling, fine-tuning workflows, and embedding generation. Master the new Assistants API and understand how to leverage OpenAI's latest features for production applications.
Module 3: Understanding Agentic AI Fundamentals
Explore the paradigm shift from simple chatbots to autonomous AI agents. Learn about agent architectures, reasoning loops, tool usage, and decision-making processes. Understand the difference between reactive and proactive agents, multi-step reasoning, and how agents can interact with external systems and APIs.
Module 4: OpenAI Agents SDK
Hands-on exploration of OpenAI's official Agents SDK for building sophisticated AI agents. Learn agent configuration, tool integration, conversation management, and state persistence. Understand how to create agents that can perform complex multi-step tasks, handle interruptions, and maintain context across interactions.
Module 5: LangGraph Framework
Master LangChain's powerful graph-based framework for building complex AI workflows. Learn to create conditional flows, parallel processing, human-in-the-loop systems, and error handling. Understand how to design agent workflows that can branch, loop, and make decisions based on intermediate results.
Module 6: CrewAI Multi-Agent Systems
Build sophisticated multi-agent systems using CrewAI framework. Learn to create specialized agent roles, define collaboration patterns, and orchestrate complex team-based workflows. Understand agent delegation, task distribution, and how different agents can work together to solve complex problems.