LinkedIn – Building AI Agents with AutoGen 2024-12

LinkedIn – Building AI Agents with AutoGen 2024-12

LinkedIn – Building AI Agents with AutoGen 2024-12
LinkedIn – Building AI Agents with AutoGen 2024-12

Building AI Agents with AutoGen course. In this comprehensive course, Harshit Tigi, a data science instructor and expert, teaches you the skills you need to develop AI agents using the AutoGen framework. Covering key design patterns such as reflection, tooling, and multi-agent collaboration, this course enables you to create multi-agent systems that can automate complex tasks. Through hands-on projects, you will integrate external tools and improve agent capabilities with human feedback. This course is ideal for intermediate to advanced users with basic Python knowledge, and will prepare you to effectively automate complex workflows.

What you will learn:

  • AI Agents: A deep understanding of the concept of AI agents and how they work.
  • AutoGen Framework: Master the AutoGen framework for building and managing agents
  • Design Patterns: Introduction to key design patterns for developing multi-agent systems
  • Practical Projects: Implement practical projects to enhance learning skills.
  • External tool integration: Integrating external tools with AI agents
  • Agent Performance Improvement: Improve agent performance using human feedback

This course is suitable for people who:

  • Have basic knowledge of Python
  • Are looking to learn how to develop artificial intelligence systems
  • Want to improve their skills in process automation
  • Are interested in building multi-agent systems

Building AI Agents with AutoGen Course Details

  • Publisher: LinkedIn
  • Instructor: Harshit Tyagi
  • Education level: Intermediate
  • Training duration: 1 hour and 36 minutes

Course headings

Building AI Agents with AutoGen

Course images

Building AI Agents with AutoGen

Sample course video

Installation Guide

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Subtitles: English

Quality: 720p

Download link

Download file – 192 MB

File(s) password: www.downloadly.ir

File size

192 MB