Description

AI Agents in Practice: Build Real End-to-End AI Agents. This course is a comprehensive and practical program for designing and building Agentic Systems using modern frameworks such as LangGraph, ReAct, and ReWOO. This course is designed to teach you the fundamentals and practicalities of designing, implementing, and managing AI Agents. After learning the basics of Large Language Models (LLMs) and Chatbots, this course takes you on a journey to build systems that can program, use tools, and execute multi-step workflows. Along the way, it answers key questions about how AI systems make decisions when faced with web browsing, reading files, or calling APIs, and teaches you how to break tasks down into smaller parts and determine the right tools. Learners will learn the structural fundamentals of an AI agent and how it differs from standard LLM programs, and learn best practices for writing prompts. Next, through multiple hands-on projects, they will build assistant robots, implement ReAct and ReWOO patterns in LangGraph, create memory for the system, connect custom tools, and use the LangSmith platform for monitoring and debugging. In more advanced projects, they will evaluate business ideas using personas, parallel processing, and human-in-the-loop monitoring stages, so that participants will have full mastery of modern architectures and the ability to build and develop advanced AI systems.

What you will learn

• Understand the key principles of agentic design
• Deep understanding of two leading frameworks in the field of agents: ReAct and ReWOO
• Creating and integrating tools for agents to interact with real data and perform functional tasks
• Developing skills in writing specialized prompts appropriate to reasoning, planning, and tool use
• Monitoring, troubleshooting, and debugging AI agents using LangSmith tools
• Building the structure of an agent in LangGraph using Nodes, Edges, State, and Memory
• Implementing human-in-the-loop and parallel branches in workflows
• Building a practical project for a Job-Helper Agent and a Business Idea Evaluator

This course is suitable for people who:

• AI enthusiasts who want to go beyond simple chatbots and learn how to build real AI agents with the ability to use tools and APIs
• Python programmers interested in working with LangGraph, ReAct agents, and real-time data pipelines
• Developers and individuals who have mastered the basics of artificial intelligence and are looking to implement practical and applicable projects in the real world.

Course Description AI Agents in Practice: Build Real End-to-End AI Agents

• Publisher: Udemy
• Instructor: 365 Careers
• Training level: Beginner to advanced
• Training duration: 1 hour and 44 minutes
• Number of lessons: 37

Course headings

Prerequisites for the AI ​​Agents in Practice: Build Real End-to-End AI Agents course

• Intermediate Python skills (comfort with functions, basic data structures, and working in notebooks)
• Basic familiarity with large language models (eg, using GPT models, prompts, tokens, system vs user messages)
• A general understanding of AI concepts will be helpful

Course images

Sample course video

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