Course Outline
1. Introduction to LLM Applications and AutoGen v0.4
- Large Language Models (LLMs): A deep dive into their capabilities and practical applications.
- AutoGen v0.4 Overview: Examining its features, architecture, and how it streamlines the creation of agentic AI systems.
2. Core Concepts and Components of AutoGen
- The Layered Framework Explained:
- Core Layer: Event-driven architecture that supports dynamic workflows.
- AgentChat API: Constructing task-driven agents using high-level APIs.
- Extensions: Integrating custom agents, tools, and memory modules to expand functionality.
- Asynchronous Messaging: Implementing event-driven and request-response interaction patterns.
3. Building Your First Multi-Agent Application
- Defining Agents: Creating Assistant and User Proxy agents.
- Agent Communication: Establishing asynchronous messaging channels between agents.
- Sample Application: Developing a basic multi-agent system to address a specific task.
- Observability and Debugging: Leveraging built-in metric tracking and message tracing for real-time monitoring.
4. Case Studies and Best Practices
- Real-World Applications: Analyzing successful AutoGen implementations across various industries.
- Best Practices: Strategies for designing efficient and scalable LLM applications with AutoGen.
- Challenges and Solutions: Tackling common development hurdles and their effective resolutions.
- Q&A
The workshop is intended for:
- software developers
- data scientists
- data engineers
- individuals with a programming background or strong interest who wish to explore AI programming.
Requirements
Prerequisites - Python programming
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.
