Course Outline
1. Introduction to LLM Applications and AutoGen v0.4
- Overview of Large Language Models (LLMs): Examination of their capabilities and potential applications for government and other sectors.
- Introduction to AutoGen v0.4: Exploration of its features, architecture, and how it streamlines the development of agentic AI systems for government use.
2. Core Concepts and Components of AutoGen
- Understanding the Layered Framework:
- Core Layer: Event-driven architecture supporting dynamic workflows for efficient task management.
- AgentChat API: High-level APIs for building task-driven agents, facilitating seamless integration into existing systems.
- Extensions: Customization options for integrating additional agents, tools, and memory modules to enhance functionality for government operations.
- Asynchronous Messaging: Implementation of event-driven and request-response interaction styles to support real-time data processing and decision-making.
3. Building Your First Multi-Agent Application
- Defining Agents: Creation of Assistant and User Proxy agents tailored for specific government tasks.
- Establishing Agent Communication: Configuration of asynchronous messaging between agents to ensure smooth collaboration.
- Implementing a Sample Application: Development of a simple multi-agent system designed to address a particular challenge in public sector operations.
- Observability and Debugging Tools: Utilization of built-in metric tracking and message tracing for real-time monitoring and performance optimization for government applications.
4. Case Studies and Best Practices
- Real-World Applications: Analysis of successful implementations of AutoGen in various industries, including public sector case studies.
- Best Practices: Guidelines for designing efficient and scalable LLM applications using AutoGen, with a focus on government use cases.
- Challenges and Solutions: Identification of common challenges encountered during development and effective strategies to address them, particularly relevant to government projects.
- Q&A
The workshop is intended for:
- Software developers
- Data scientists
- Data engineers
- Individuals with a programming background or interest who are eager to learn about AI programming for government applications.
Requirements
Testimonials (5)
I liked that he constantly provided examples but also offered time for individual work on what he presented.
Iacob Giorgel
Course - Agentic AI Unleashed: Crafting LLM Applications with AutoGen
I really liked the theoretical background explanations and how they were carried out. It helped me to understand how the process works.
Norbert
Course - Agentic AI Unleashed: Crafting LLM Applications with AutoGen
The first more practical part was really exciting. Thanks for course. The presenter, Abhi, was really well prepared, he is a good presenter and has lot of knowledge in the topic of the presentation.
Tomas
Course - Agentic AI Unleashed: Crafting LLM Applications with AutoGen
The vast knowledge of the trainer about the subject and the condensed information.
Stefan
Course - Agentic AI Unleashed: Crafting LLM Applications with AutoGen
Trainer responding to questions on the fly.
