Highlights
This course provides participants with a solid understanding of how to design and fine-tune prompts to elicit desired responses from ChatGPT. They will also be able to apply these techniques in a variety of real-world scenarios.
- Basic usage and integration
- Advanced usage and customization
- Real-world applications and case studies
- Best practices and considerations for deployment
- Discussion and Q&A with industry experts
- Next steps and opportunities for collaboration
Course Details
• Understanding the power of prompts in ChatGPT
• Basic principles of good prompt design
• Case Study: Evaluating simple, basic prompts
Diving Deeper into Prompt Structures
• Understanding the effects of verbosity, temperature and max tokens
• Instruction Following and Knowledge Retrieval Prompts
• Understanding the System Message for Context
• The Role of Repetition and Patterns in
Prompt Design
Advanced Techniques in Prompt Engineering
• Conversational Depth: Using the User Message and Assistant Message in Prompts
• Designing prompts for complex tasks
• Effectively leveraging the persona and personality traits in your prompts
Skills and Workflow
• Introduction to skill chains and workflows in prompts
AI Training Mastering Prompt Engineering for ChatGPT 2
• Creating a coherent workflow for your prompts
• Defining clear tasks in your prompts
• Case Study: Designing a prompt with a complex skill chain and workflow
Testing and Refining Prompts
• Iterative Prompt Engineering: Test, Evaluate, Improve
• Best practices for testing prompts
• Evaluating and refining your prompts based on outcomes
• Managing and correcting common errors in prompt design
• Predicting the Response to a Given Prompt
Real-world Applications of Prompt Engineering
• Prompt Engineering in Business (e.g., Customer Support, Sales); Creative Applications
(e.g., Writing, Brainstorming); Education and Training
• Using Prompts for Sentiment Analysis and Opinion Generation
• Hands-on: Create a prompt for a specific task
• Peer review: Evaluate and provide feedback on fellow students' prompts
Conclusion and Further Learning
• Recap of key learnings from the course
• Further resources for learning and mastering prompt engineering
• A Look into the Future: Exploring the Potentials of Next-Gen Prompt Engineering
• Final Q&A and course wrap-up
Throughout the course, each module will include:
• Theory: Lectures and readings that discuss the principles of prompt engineering.
• Examples and Demonstrations: Real-world examples of prompts, as well as
demonstrations of how to craft them.
• Practice: Hands-on exercises where learners can create and experiment with their own
prompts.
• Feedback and Review: Opportunities to get feedback on your prompts and understand the
logic behind their successes and failures.
• Discussion: Forums and Q&A sessions where learners can interact, share experiences, and
ask questions.
Who should attend
Feedback
4.8 out of 5 average
"I hadn't integrated Pandas with Python before joining my company. So it's very useful to consolidate my understanding of such skill via this course. The Jupyter notebooks provided will be a valuable resource for revising the materials and are really well laid out."
JL, Data Analyst, Python for Data Science, March 2021
“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and the Instructor handled this particularly well - very impressive”
Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022
Watch client feedback from Python training course: