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AutoGen
AI Courses

AutoGen

Build practical AutoGen skills to develop AI agents, multi-agent systems, collaborative workflows, and Generative AI applications through hands-on projects.

5/5(4,890 Reviews)

Level

Advanced

Duration

4 weeks

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About AutoGen

AutoGen Course is an advanced practical training program designed to help learners build AI agents and multi-agent applications using the AutoGen framework. The course covers AutoGen agents, agent communication, conversations, task delegation, tools, workflows, multi-agent systems, reasoning patterns, and application development. Learners explore how multiple specialized agents can communicate and collaborate to complete complex tasks through structured workflows. The training also covers agent memory and context, human interaction, tool-enabled agents, retrieval-based applications, workflow orchestration, testing, debugging, and production considerations. Through practical projects, learners apply AutoGen concepts to research, customer support, data analysis, and business automation scenarios. The course focuses on developing practical AutoGen agent development skills for modern Generative AI applications.

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Training Plan

01
About trainer

About trainer

Working professional who is carrying more than 10 years of industry experience.

02
Decks & Updated Content

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03
e-Book

e-Book

E-book provided by TechPratham. All rights reserved.

04
Assignments & MCQs

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05
Video Recording

Video Recording

Daily Session would be recorded and shared to the candidate.

06
Projects

Projects

Live projects will be provided for hands-on practice.

07
Resume Building

Resume Building

Expert-guided resume building with industry-focused content support.

08
Interview Preparation

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

AutoGen Course Curriculum

Module 1 — Introduction to AutoGen

Understand AutoGen fundamentals, its role in multi-agent AI development, and how agents can be combined to create collaborative Generative AI applications.

What is AutoGen?
AutoGen framework
AutoGen architecture
AutoGen AI applications
AI agents
Multi-agent systems
Agent roles and responsibilities
AutoGen ecosystem
AutoGen use cases
Development environment setup

Module 2 — Building AutoGen Agents

Learn how to create and configure AutoGen agents, define their responsibilities, connect models, and prepare agents for practical AI application development.

AutoGen agents
Agent configuration
Agent roles
Agent instructions
Agent behavior
Model integration
Context configuration
Agent capabilities
Creating the first AutoGen agent

Module 3 — Agent Communication & Conversations

Learn how AutoGen agents communicate and collaborate through structured conversations, messages, and interaction patterns to solve complex tasks.

Agent-to-agent communication
Conversational workflows
Agent messages
Conversation context
Multi-agent conversations
Message handling
Agent interaction patterns
Group conversations
Conversation termination

Module 4 — Multi-Agent Systems & Teams

Build teams of specialized AutoGen agents and understand how different agents can collaborate, coordinate responsibilities, and work toward a shared objective.

Multi-agent architecture
Agent teams
Specialized agents
Agent collaboration
Team configuration
Round-robin collaboration
Selector-based collaboration
Agent coordination
Multi-agent task execution

Module 5 — Tasks, Delegation & Decision-Making

Learn how AutoGen agents can divide complex objectives into smaller tasks, delegate responsibilities, make decisions, and coordinate multi-step execution.

Task definition
Task delegation
Task decomposition
Agent responsibilities
Task coordination
Decision-making
Multi-step reasoning
Task execution
Automated task workflows

Module 6 — Tools & Tool-Enabled Agents

Learn how to extend AutoGen agents with tools and external capabilities so they can retrieve information, execute functions, interact with APIs, and perform practical tasks.

AutoGen tools
Function
Tool configuration
External APIs
Search tools
Custom tools
Code execution
Tool-enabled agents
Tool-based workflows

Module 7 — Agentic Design Patterns

Explore practical agentic design patterns that improve how AutoGen agents reason, plan, review outputs, use tools, and collaborate on complex tasks.

Reflection
Planning
Tool use
Multi-agent collaboration
Critic and reviewer agents
Reasoning workflows
Iterative improvement
Nested conversations
Pattern selection

Module 8 — Memory, Context & Human Interaction

Learn how to maintain relevant context, incorporate human feedback, and design AutoGen applications that support interactive and context-aware agent workflows.

Agent memory
Conversation context
Context management
State and history
Human-in-the-loop
Human feedback
User interaction
Approval workflows
Context-aware agents

Module 9 — RAG & Knowledge-Based Agents

Build knowledge-aware AutoGen applications that retrieve relevant information and use it within multi-agent workflows for research and domain-specific tasks.

RAG fundamentals
Knowledge retrieval
Document processing
Embeddings
Vector stores
Retrieval workflows
RAG agents
Knowledge-based applications
Research automation

Module 10 — AutoGen Workflows & Orchestration

Learn how to design structured AutoGen workflows that control agent execution, coordinate multiple steps, and support complex multi-agent application logic.

AutoGen workflows
Structured execution
Parallel workflows
Sequential workflows
Conditional execution
Workflow control
Graph-based workflows
Workflow debugging
Multi-step orchestration

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Additional Program Highlights

Learning Materials

Comprehensive study materials and resources

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Resume Writing

Professional resume building session

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Interview Preparation

Master your interview skills

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Live Project Demo

Real-world project demonstrations

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Upcoming Batches

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Who Should Take AutoGen Course?

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Career Opportunities After AutoGen Course

AutoGen Developer

AI Agent Developer

Generative AI Developer

Key Projects

Live Projects

Accenture

AccentureEnterprise Research Assistant


Scenario: Build a multi-agent AutoGen research application where specialized agents gather information, analyze findings, review results, and generate a structured business report.

Live Work:

  • Configure research agents
  • Build agent communication
  • Generate research report
Outcome: Automated enterprise research workflow
WNS

WNSIntelligent Customer Support


Scenario: Develop an AutoGen support system where specialized agents classify customer requests, retrieve relevant information, and collaborate to generate appropriate responses.

Live Work:

  • Create support agents
  • Add retrieval tools
  • Coordinate responses
Outcome: Multi-agent support automation
Deloitte

DeloitteBusiness Data Analysis


Scenario: Build an AutoGen multi-agent system where specialized agents analyze business data, validate findings, and collaborate to generate structured insights.

Live Work:

  • Configure analysis agents
  • Integrate data tools
  • Generate business insights
Outcome: Collaborative data analysis system
KPMG

KPMGCompliance Review Automation


Scenario: Develop an AutoGen workflow where research, analysis, and review agents collaborate to examine compliance information and produce structured findings.

Live Work:

  • Build compliance agents
  • Automate review tasks
  • Generate structured findings
Outcome: Automated compliance review
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Our Success Mantra

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Commitment

  • Ensuring quality training every day

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Fulfillment

  • Meeting learning goals with confidence

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Accomplishment

  • Students achieving industry-ready expertise

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Beyond Courses:

Additional Support We Provide

24/7 Support

LinkedIn Profile

Resume Writing

Alumni Sessions

Interview Preparation

Live Projects

What is AutoGen?

What is an AutoGen course?

What is AutoGen used for?

What will I learn in an AutoGen course?

What are AutoGen agents?

Can AutoGen build multi-agent systems?

What is AutoGen?

What is an agent in AutoGen?

How do agents communicate in AutoGen?

What is task delegation in AutoGen?

What are tools in AutoGen?

What are agentic design patterns?

AutoGen Certification

Upon successful completion of the course requirements, learners can receive a certificate recognizing their learning and practical understanding of AutoGen, AI agent development, multi-agent systems, agent communication, task delegation, tools, workflows, and Generative AI application development.

The certification reflects successful completion of the applicable AutoGen Course learning requirements and is subject to TechPratham's certification criteria.

Industry-Recognized Certification

Certificate
AutoGen Course

News Highlights

TechPratham Introduces Hire-Train-Deploy Model to Transform HR & ERP Talent in the AI Era
TechPratham Empowering Future Professionals Through AI-Focused HR & ERP Training

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