Writing Effective Prompts for Generative AI
As generative AI becomes more common, the ability to interact with large language models is shifting from niche knowledge to a necessary skill across many different industries and roles. In this course, you will learn the fundamentals of prompting large language models and exploring further techniques for improving the output from large language models. You will also explore similar concepts when working with multimodal models such as Gemini Vision Pro.
What you will learn
- Understand the basics of generative AI and how it compares to traditional AI.
- Design effective prompts following general best practices.
- Improve large language model outputs using easy-to-approach prompt engineering techniques.
- Write effective prompts for interacting with multimodal models such as Gemini Vision Pro.
Prerequisites
- There are no prerequisites for this course.
Target audience
- Customers, Individuals with varying levels of AI expertise
Training Program
4 modules to master the fundamentals
Objectives
- Define generative AI as a subset of AI.
- Discuss the potential impact of AI on organizations.
- Provide examples of generative AI applications.
Topics covered
- →Gen AI vs. AI/ML
- →Gen AI Applications
- →Business Impact of Gen AI
Objectives
- Understand the role of context and examples in prompts.
- Iterate on prompts to improve model output.
Topics covered
- →Prompt content types.
- →Prompt design strategies.
- →Iterating prompts for improvement.
Activities
Lab: Introduction to Prompt Design
Objectives
- Describe the difference between prompt design and prompt engineering.
- Write prompts using few-shot and chain-of-thought techniques.
- Learn about additional prompt engineering techniques being used today.
Topics covered
- →Prompt design versus prompt engineering
- →Zero-shot and few-shot prompting
- →Chain-of-thought prompting
- →Overview of additional techniques
Activities
Lab: Improving your Prompts
Objectives
- Understand the multimodal models and their use cases.
- Design effective prompts for multimodal models.
Topics covered
- →What is a multimodal model?
- →Prompt design strategies
- →Best practices for multimodal prompts
- →Troubleshooting your multimodal prompt
Activities
Lab: Writing Prompts for Gemini Pro Vision
Quality Process
SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach
- Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
- Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
- Guided Labs — Guided practical exercises on software, hardware, or technical environments.
- Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).
The achievement of training objectives is evaluated at multiple levels to ensure quality:
- Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
- Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
- Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.
Train multiple employees
- Volume discounts (multiple seats)
- Private or custom session
- On-site or remote