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. 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 limits, and common pitfalls, then assess open-source versus hosted models for practical applications. From the start, you will craft prompts, organize 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 directives for LLMs focused on coding.
- LLM safety controls: minimize errors, safeguard confidential information, and apply guidelines.
- LLM system design: develop efficient, expandable request systems using RAG and caching.
- Evaluation mastery: monitor LLM performance through tests, measures, and human checks.
- Model selection: pick and evaluate LLMs based on expense, 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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