Autogen Studio: No Code Ai Agents

No-code AI automation with AutoGen Studio: agent orchestration, tool integration, workflow deployment,and real-world app

What you'll learn

Learn about Agentic Oriented Programming in a no-code fashion

Become an expert at AutogenStudio (Microsoft)

Identify and act on issues that require AI to be solved

Develop Teams of AI agents able to undertake complex multi-step tasks

Requirements

No programming experience needed. You will learn everything in the course.

Description

Welcome to “AutoGen Studio: No Code AI Agents”, a comprehensive course designed to empower you with the skills to build advanced AI agent workflows without any programming. This course leverages Microsoft’s AutoGen Studio, enabling you to design, orchestrate, and deploy multi-agent AI solutions for a variety of real-world applications.You will learn to:Configure and manage agent teams for complex tasksIntegrate both cloud-based and local language modelsConnect external tools and deploy agent workflows as APIsBuild practical projects such as a crypto blog generatorThroughout the course, you will engage in hands-on exercises and real-world projects that reinforce your understanding of each concept. You will also explore best practices for optimizing agent collaboration, troubleshooting common issues, and extending your workflows with additional tools and integrations.This course is suitable for professionals, business users, and enthusiasts interested in AI automation, regardless of coding experience. All concepts are taught through step-by-step lectures, ensuring practical understanding and immediate applicability. By the end of the course, you will be proficient in using AutoGen Studio to create, deploy, and prototype no-code AI agent solutions.Enroll now to unlock the potential of no-code AI development with AutoGen Studio 0.4.2 and transform your workflow automation capabilities.

Overview

Section 1: Introduction

Lecture 1 Intro to LLMs

Lecture 2 Agents

Lecture 3 Teams

Lecture 4 Round Robin Team

Lecture 5 Selector Team

Section 2: Installation

Lecture 6 AutoGen Studio Intro

Lecture 7 Creating ChatGPT API

Lecture 8 Installing LMStudio

Lecture 9 Installing AutoGen Studio

Section 3: AutoGen Studio

Lecture 10 AutoGen Studio Overview

Lecture 11 Round Robin Team Intro

Lecture 12 Round Robin Team: Three Agents Example

Lecture 13 Selector Team Intro

Lecture 14 Selector Team: Creative vs Technical Writer

Lecture 15 Intro to Tools

Lecture 16 Tool Creator

Lecture 17 Deploy your Team

Section 4: Autogen Studio Projects

Lecture 18 Websurfer Agent

Lecture 19 Crypto News Team

Lecture 20 Crypto Price & News Team

Lecture 21 Selector Crypto Blog

Lecture 22 Lecture 22: Crypto News with RSS Feeds

Lecture 23 Lecture 23: Connect Teams

Anyone curious about automating with AI