Large Language Models (LLMs) Course
This course offers a practical introduction to building reliable code assistants using Large Language Models (LLMs). Participants will explore transformer basics, tokenization, context management, and pitfalls, while comparing open-source and hosted models for real-world applications. Key activities include prompt engineering, input/output structuring, evaluation setup, request optimization, and implementing safeguards for safety, privacy, and reliability.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Large Language Models (LLMs) Course provides a quick, hands-on way to create dependable code helpers. You will cover transformer fundamentals, tokenization, context windows, and common pitfalls, then assess open-source versus hosted models for actual projects. From the start, you will craft prompts, organise inputs and outputs, set up evaluations, streamline request processes, and implement safety, privacy, and reliability measures.
Elevify advantages
Develop skills
- Advanced prompting: create exact, trustworthy instructions for LLMs focused on coding.
- LLM safety controls: minimise hallucinations, safeguard secrets, and apply policies.
- LLM system design: develop quick, expandable request flows using RAG and caching.
- Evaluation mastery: monitor LLM performance with tests, metrics, and human checks.
- Model selection: pick and evaluate LLMs based on cost, speed, and coding precision.
Suggested summary
Before starting, you can change the chapters and 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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