Course Overview
AI, powered by models like GPT, is revolutionizing numerous industries and transforming the way we work and live. However, to fully leverage the potential of AI, end users need to possess the skills to effectively interact with these advanced models. This intensive 2-day course on GPT Prompt Engineering for End Users is designed to equip participants with the knowledge and practical skills to harness the power of GPT through prompt engineering.
Course participants will gain an understanding of the fundamentals of AI, with a specific focus on GPT, learn how to formulate effective prompts to communicate with the model, and explore various techniques to optimize GPT model outputs. Through a combination of lectures, hands-on exercises, and real-world examples, participants will develop a solid foundation in prompt engineering and enhance their ability to generate valuable insights and solutions using GPT.
Course Objectives
- Understand the key concepts and principles of AI, particularly GPT, and its applications in various domains.
- Formulate clear and effective prompts to communicate with the GPT model.
- Apply prompt engineering techniques to improve the quality and relevance of GPT model outputs.
- Evaluate and fine-tune GPT model performance through prompt modifications.
- Utilize popular AI tools and platforms, such as OpenAI's Playground.
- Address ethical considerations and biases associated with GPT and other AI systems.
- Explore advanced topics in prompt engineering, including techniques like few-shot learning and conditional generation.
Pre-requisites
- No technical background is required for this course, but participants should have a basic understanding of artificial intelligence concepts.
- Hardware & Software
This course will be conducted as a Virtual Live Class (VLC) via Zoom platform. Participants must own a zoom account and have a laptop or a desktop with “Zoom Client for Meetings” installed. This can be downloaded from https://zoom.us/download .
System Requirement |
Must-have:
Please ensure that your computer or laptop meets the following requirements.
Good-to-have:
Not recommended: |
Course Outline
Module 1: Introduction to AI and GPT
- Overview of AI and GPT's impact on industries
- Understanding the capabilities and limitations of GPT
- Real-world examples of GPT applications
Module 2: Fundamentals of Prompt Engineering for GPT
- Importance of prompt engineering in GPT interactions
- Defining goals and objectives for GPT prompts
- Crafting clear and precise instructions for optimal results
Module 3: Optimizing GPT Model Outputs
- Techniques for improving the relevance and coherence of GPT outputs
- Handling bias and ethical considerations in prompt engineering
- Post-processing and refining GPT-generated content
Module 4: Advanced Prompt Engineering Techniques for GPT
- Exploring advanced prompt engineering strategies for GPT
- Leveraging context and conditioning for better responses
- Strategies for handling complex queries and multi-step tasks
Module 5: AI Tools and Platforms for End Users
- Introduction to popular AI tools like OpenAI's Playground
- Hands-on experience with OpenAI API and GPT integration
- Integrating GPT into existing workflows and applications
Module 6: Emerging Trends and Ethical Considerations
- Current trends and developments in GPT prompt engineering
- Addressing ethical considerations and mitigating biases in GPT usage
- Future implications of GPT and AI for end users
Hands-on Workshops
Each module will include hands-on workshops to provide a practical experience.
Certificate Obtained and Conferred by
Certificate of Achievement from NTUC LearningHub will be issued to participants who have met at least 75% attendance and passed the prescribed assessment(s).
Categories
More Information
- NTUC LearningHub
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