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AW106: AWS™ Discovery Day: Introduction to Prompt Engineering

Official Introduction to AWS™

Prompt engineers, data scientists, and developers receive a practical introduction to the fundamentals of prompt engineering. The course covers base models, concepts, and basic techniques for creating and optimizing prompts for ML models. The event is complemented by an interactive Q&A session with the trainer.

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Possible course languages: German

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Unfortunately there are currently no available appointments.
Would you like to request an appointment? Then click on 'No matching appointment?'

Request prefered appointment period:

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Agenda:

Foundation Models and Large Language Models
- How does a foundation model work?
- Training foundation models
- Types of FMs
- Large language models
- Transformer architecture
- Neural networks
- LLM use cases

Key Concepts in Prompt Engineering
- Fine-tuning vs. prompt engineering
- Elements of a prompt
- Best practices for designing effective prompts
- Hands-on practice with prompts

Fundamental Prompt Techniques
- Zero-shot prompting
- Few-shot prompting
- Chain-of-thought prompting

Objectives:

In this free AW106 AWS™ Discovery Day: Introduction to Prompt Engineering, you will learn to:

Identify the fundamental concepts of foundation models (FMs) and large language models (LLMs)
Define prompt engineering and determine best practices for designing effective prompts
Identify the core types of prompt techniques, including zero-shot, few-shot, and chain-of-thought (CoT) techniques

Target audience:

The AW106 AWS™ Discovery Day: Introduction to Prompt Engineering is intended for:

Prompt engineers
Data scientists
Developers

Prerequisites:

There are no prerequisites for participating in the AW106 AWS™ Discovery Day: Introduction to Prompt Engineering.

Description:

AWS™ Discovery Day is a free virtual event introducing the topic of prompt engineering and how to interact with ML models.
The 1-hour event AW106 AWS™ Discovery Day: Introduction to Prompt Engineering is designed for prompt engineers, data scientists, and developers to provide insights into creating and optimizing prompts for various ML models. Participants will learn the fundamentals of foundation models, prompt engineering concepts, and essential prompt techniques.

For the scheduled date, qSkills™ will offer a 30-minute live Q&A session with the trainer to discuss topics from the webinar recording provided in advance.

You are also welcome to send us your questions in advance via email. Depending on the volume of questions, we may not be able to address all of them in one session.