Large Language Models (LLMs) Course
Gain expertise in Large Language Models for practical engineering applications: craft effective prompts, minimise hallucinations, safeguard code data, and develop trustworthy LLM assistants. Delve into model architectures, retrieval techniques, evaluation methods, and deployment strategies to deliver secure and intelligent developer tools that enhance productivity.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course offers a quick practical guide to creating dependable code assistants using Large Language Models. You will explore transformer fundamentals, tokenization, context limits, and common pitfalls, while evaluating open-source versus hosted models for actual projects. Gain skills in crafting prompts, formatting inputs and outputs, setting up evaluations, streamlining API calls, and implementing safety, privacy, and reliability measures right away.
Elevify advantages
Develop skills
- Advanced prompting techniques to create accurate instructions for code-specific LLMs.
- LLM safety measures to curb hallucinations, secure sensitive data, and apply strict policies.
- LLM system architecture for efficient, scalable workflows using RAG and caching.
- Expert evaluation skills with testing, metrics, and human oversight for LLM performance.
- Strategic model selection based on cost, speed, and coding precision.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.

Giulio CarloPrompt Engineering Student
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