Microsoft’s AutoGen is an open-source framework developed by Microsoft Research that allows developers to build applications through multiple conversable agents working in tandem. It supports dynamic dialogue, human-in-the-loop workflows, tool integration, and code execution- all within a flexible Python-based environment. kodestree’s Microsoft AutoGen Course covers the full breadth of this framework, from agent configuration and group-chat orchestration to RAG pipelines, AutoGen Studio, and responsible deployment on Azure infrastructure. By the time you finish, you will not just understand multi-agent theory – you will have built real systems and earned a Microsoft AutoGen Certification recognized across the industry.
Prerequisites
This course is designed to be accessible while still being professionally rigorous. You are expected to bring:
- Working knowledge of Python (variables, loops, functions, libraries)
- Familiarity with basic cloud computing concepts, particularly Microsoft Azure
- Understanding of what Large Language Models (LLMs) are and how APIs work
- Basic awareness of REST APIs and JSON data structures
- A curious, problem-solving mindset – no prior agent framework experience required
Course Objectives
By the end of this programme, you will have moved from concept to capability – understanding not just how AutoGen works, but how to deploy it meaningfully.
- Understand the architecture and design philosophy behind Microsoft’s AutoGen framework
- Configure and deploy ConversableAgents including AssistantAgent and UserProxyAgent
- Build multi-agent workflows using GroupChatManager and custom orchestration logic
- Integrate external tools, APIs, and code execution environments within agent pipelines
- Connect AutoGen with Retrieval-Augmented Generation (RAG) using vector databases
- Use AutoGen Studio to design and prototype workflows without writing boilerplate code
- Implement human-in-the-loop checkpoints for feedback-driven, controllable agents
- Secure multi-agent deployments using Azure Entra ID and responsible AI principles
- Package and deploy agent systems using Docker and understand Kubernetes-level scaling
- Complete a capstone project that demonstrates end-to-end multi-agent system development
Skills You Will Learn
kodestree’s AutoGen online training is structured to build layered, transferable competencies across the entire agent development lifecycle.
- Multi-agent system design and orchestration using the AutoGen framework
- Python-based agent programming: defining roles, behaviors, and tool permissions
- Prompt engineering tailored specifically for agentic and multi-step reasoning tasks
- RAG pipeline construction with vector database integration (Pinecone, Azure AI Search)
- Code generation, code review, and automated execution inside agent workflows
- Debugging and evaluation using AutoGen Studio’s visual no-code interface
- Security configuration, identity management, and responsible AI compliance
- Container-based deployment with Docker and foundational Kubernetes understanding
- Monitoring agent performance and managing session persistence across workflows
- Translating business problems into effective multi-agent architecture blueprints
Skills You Will Gain
In this program, you will get the following skills.
- Microsoft AutoGen
- Multi-Agent System Design
- Conversable Agents
- Group Chat Orchestration
- Agent Workflow Development
- Python for AI Agents
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Vector Database Integration
- Tool Calling & API Integration
Who is This Course For?
This programme is built for a wide but purposeful audience – anyone whose work sits at the intersection of software, automation, and intelligent systems.
- Software developers
- Data scientists
- Machine learning engineers
- Cloud professionals
- Automation architects
- Tech leads and solution architects
- Career changers and graduates targeting roles in agentic AI – this is also a strong AutoGen course for beginners with solid Python foundations
Tools and Technologies Covered
The curriculum is hands-on throughout. You work directly with the tools and platforms they will encounter in real professional environments.
- Microsoft AutoGen / AG2: Multi-agent application development and orchestration
- AutoGen Studio: Visual workflow design, testing, and debugging
- Python 3.10+: Agent programming and automation development
- Microsoft Azure AI Foundry and Azure OpenAI Service: AI model deployment and integration
- Azure Entra ID: Identity and access management for secure agent systems
- LangChain & Semantic Kernel: LLM orchestration and AI application frameworks
- Pinecone / Azure AI Search: Vector databases and retrieval-augmented generation (RAG)
- Docker: Containerisation and application deployment
- Kubernetes (introductory): Container orchestration and scaling fundamentals
- GitHub / Git: Version control and collaborative development workflows
Career Outcomes
Agentic AI is the fastest-growing specialisation in the AI job market right now. With a Microsoft AutoGen Certification from kodestree, graduates are equipped for roles that didn’t exist three years ago and are among the highest-paying in tech today.
- AI Agent Developer
- Multi-Agent Systems Engineer
- AI Automation Engineer
- Agentic AI Engineer
- AI Solutions Architect
- LLM Applications Developer
- Prompt & Agent Engineer
- GenAI Product Engineer
Why Choose kodestree’s AutoGen Course?
The market is full of tutorials and short explainer videos. kodestree’s Microsoft AutoGen Course is different – it is a structured, career-focused programme that respects your time and takes your growth seriously.
- Curriculum Aligned with Real Industry Demand: Learn the skills employers are actively seeking in agentic AI, multi-agent systems, LLM applications, and enterprise automation projects.
- Expert-Led Sessions: Learn from experienced instructors who bring practical insights from real-world AI, cloud, and automation implementations.
- Flexible Learning Without Compromise: Choose from instructor-led, weekend, or self-paced learning formats that fit your schedule without sacrificing depth or quality.
- Hands-On from Day One: Build, test, and deploy AutoGen agents, multi-agent workflows, RAG systems, and automation projects through guided labs and practical exercises.
- Lifetime Access: Revisit course materials anytime and stay connected with a community of learners, mentors, and industry professionals.
- 100% Job Assistance: Get support with resume building, interview preparation, portfolio development, and job referrals to help accelerate your career transition into AI and automation roles.
