Advanced LLM Applications
This cutting-edge course is your gateway to mastering the latest LLM tools and techniques, optimizing performance, and building sophisticated AI applications.
Whether you aim to tackle complex use-cases or enhance your existing skill set, this course will equip you with the expertise needed to stay at the forefront of the AI revolution.
Looking to upskill your Team(s) or organization?
Rozaliia will gladly help you further with custom training solutions
Rozaliia Khafizova
Data and AI Training Advisor
What will you learn?
After the training, you will be able to:
Understand and Evaluate LLMs – Learn core LLM concepts, evaluation techniques, and metric selection to assess model performance effectively
Build and Enhance AI Agents – Gain expertise in designing and developing various AI agents, including coding and multimodal agents, for different applications
Optimize and Implement RAG Systems – Develop advanced RAG solutions by mastering data decomposition, retrieval techniques, and evaluation strategies
Ensure Reliability and Performance – Implement guardrails, optimize latency, and select the best LLM models to enhance AI system safety and efficiency
Program
- LLM Core Concepts
- NLP Metrics
- LLM Arena
- LLM as a Judge
- Guardrails
- Metric selection
- LLM Selection
This training is for you if:
Data scientists/machine learning engineers who want to learn how to solve use-cases with advanced LLM-tools and techniques.
You should already have a good level of familiarity with RAG systems, (semi-) advanced prompting techniques, and cloud platform pipelining
This training is not for you if:
You are NOT an experienced Python developer
You have never worked on an LLM applications before and are not familiar with the tooling (see our training on Building LLM Applications)
Why should I follow this training?
Learn to master the latest LLM tools and techniques
Hands-on training with real life examples – learn today, apply tomorrow!
Get taught by LLM experts that love to teach in a very fun and interactive learning environment
What does it look like?
What else should I know?
After registering for this training, you will receive a confirmation email with practical information. A week before the training, the trainer will get in touch to ask you about any requirements you may have and any pre-course tasks you will need to do.
See you soon!
Course information
All literature and course materials are included in the price
Information on the software and tooling will be shared before the start date
This course requires a laptop
Online courses are delivered via Zoom or Microsoft Teams
Meet the Trainers
Jeroen Overschie
Jeroen is a Machine Learning Engineer at Xebia Data. Jeroen has a background in Software Engineering and Data Science and helps companies take their Machine Learning solutions into production. Jeroen has worked extensively with all things Data Science, MLOps, GenAI/LLM’s and knows his way around tooling to deliver production-quality Python code.
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