AI
Developing Agentic LLM Systems
Developing Agentic LLM Systems is a comprehensive course covering the ecosystem of tools, architectures and techniques for developing LLM-based solutions and agentic applications. The course uses the latest in AI technology to develop applications with LLMs. This course covers essential topics, such as LLM solution architectures, choosing the right LLM, and tools for developing agentic LLM solutions. Attendees will gain hands-on experience building, fine-tuning and deploying LLMs applicable at any scale. This course will guide attendees through the ever-shifting landscape of LLMs and agentic tools to help you harness the latest AI technology.
Duration
3 days
prerequisites
Participants should have basic skills in Python and basic experience with machine learning.
Developing Agentic LLM Systems ensures participants are able to:
- Understand the capabilities of language models and the problems LLMs can solve
- Navigate the LLM tool and model ecosystem
- Acquire hands-on experience building and evaluating LLM solutions
- Develop practical knowledge of specific LLM applications such as Retrieval Augmented Generation
(RAG) - Learn how to effectively tune LLMs for greater performance
- Build the skills and understanding to develop Agentic LLM solutions
Day 1: Foundations for LLM Solutions
- Language Models and Application Domains
- Solution Architectures
- LLM Development Tools
- Serving Language Models
Day 2: Applications
- Retrieval-Augmented Generation
- LLMs for Classical NLP Tasks
- Fine-Tuning Models
- LLM Deployments at Scale
Day 3: In Production
- Testing LLM-based Systems
- Securing LLM-based Applications
- LLM System Performance Improvements
- Building LLM Agents
Is there a discount available for current students?
UMBC students and alumni, as well as students who have previously taken a public training course with UMBC Training Centers are eligible for a 10% discount, capped at $250. Please provide a copy of your UMBC student ID or an unofficial transcript or the name of the UMBC Training Centers course you have completed. Asynchronous courses are excluded from this offer.
What is the cancellation and refund policy?
Student will receive a refund of paid registration fees only if UMBC Training Centers receives a notice of cancellation at least 10 business days prior to the class start date for classes or the exam date for exams.