Duration
Prompt Engineering: Designing Effective AI Interactions
2 days
Prerequisites
No prerequisites
Synopsis
This course offers a deep dive into Prompt Engineering, a crucial aspect of AI system design that focuses on crafting prompts to elicit desired responses effectively. Participants will explore the fundamentals of Prompt Engineering, including its importance, applications, and challenges. They will learn about the components of a prompt, strategies for eliciting specific responses, and techniques for handling ambiguity and sensitive topics. Through hands-on exercises and case studies, participants will gain practical experience in creating prompts for various AI applications such as text summarization, question answering, and code generation. The course also covers advanced topics such as meta prompting, prompt optimization, and overcoming token limitations. Additionally, participants will explore ethical considerations and emerging trends in Prompt Engineering.
Learning Objectives
- 1. Understand the concept and importance of Prompt Engineering in AI systems.
- 2. Learn about the components of a prompt and the context in prompt design.
- 3. Develop strategies for eliciting desired responses and handling ambiguity.
- 4. Gain practical experience in creating prompts for various AI applications.
- 5. Explore advanced Prompt Engineering techniques such as meta prompting and prompt optimization.
- 6. Understand how to harness the power of AI models like ChatGPT for effective prompt-based
interactions.
- 7. Learn techniques for mitigating biases and unwanted responses in AI prompts.
- 8. Explore ethical considerations and challenges in Prompt Engineering.
- 9. Discover emerging trends and innovations in Prompt Engineering and AI conversational models.
Module 1: Introduction to Prompt Engineering
Understanding the concept and importance of Prompt Engineering
Applications of Prompt Engineering in AI systems
Course Outline :: Prompt Engineering: Designing Effective AI Interactions::
Challenges and ethical considerations in prompt design
Module 2: Fundamentals of Prompt Design
Definition and types of prompts
Components of a prompt and understanding prompt context
Strategies for eliciting desired responses and handling ambiguity
Module 3: Hands-on Prompt Engineering
Creating prompts for various AI applications
Clarity and specificity in prompt design
Dealing with sensitive topics and content safeguards
Module 4: Advanced Prompt Engineering Techniques
Meta prompting and chain of thought reasoning
Prompt injection and automatic prompt engineering
Advanced list generation and overcoming token limitations
Module 5: Using ChatGPT and AI Tools for Prompt Engineering
Overview of OpenAI API and ChatGPT, Mid Journey, Dall-4, Copilot, etc
Data generation tricks and harnessing the power of system messages
Meta Prompting
Chain of Thought Reasoning
Prompt Injection
Automatic Prompt Engineer
Module 6: LLM Model and Langchain
Introduction to LLM Model and Langchain
Advanced List Generation - Coding
Overcoming Token Limit - ChatGPT Chunking - Coding
Vector Databases - Coding
Reason and Act (ReAct) - Coding
Recursive Re-prompting and Revision - Coding
Information Retrieval with Vector Databases - Coding
AI Resource Hub
Module 7: Prompt Optimization and Evaluation
Evolution and trends in AI conversational models and Prompt Engineering
Prompting Testing
Maximing LLM & Image Model Performance
Evaluation a RAG System
Course Outline :: Prompt Engineering: Designing Effective AI Interactions::
Target Audience
AI Engineers
Data Scientists
Software Developers
Product Managers
UX/UI Designers
AI Enthusiasts interested in conversational AI and AI system design
Programme scope, delivery arrangements and suitability are confirmed during enquiry.