Course Modules
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1. Introduction & Course Overview:
Welcome and introduction to the course structure, objectives, and outcomes.
Participants will understand how the course will progress and what they can expect
to achieve by the end.
• An overview of ChatGPT’s capabilities and transformative potential in various fields -
2. ChatGPT Fundamentals:
A deep dive into how ChatGPT works, including its underlying AI technology,
strengths, and limitations.
• Exploration of practical applications across industries such as content creation,
customer support, education, and more. -
3. Prompt Engineering Basics:
Introduction to crafting clear, concise, and effective prompts.
• Techniques for guiding ChatGPT to produce more accurate, contextually relevant,
and creative outputs. -
4. In-Depth Prompt Engineering Techniques:
Advanced methods for creating complex prompts tailored to specific goals or
industries.
• Strategies for iterative refinement and multi-turn conversations to achieve optimal
results -
5. Hands-On Exercises & Reflection:
Interactive group activities to practice prompt engineering.
• Reflection on key takeaways and challenges faced during the day. -
Day 2: Advanced Applications & Integration
1. Quick Recap & Q&A from Day 1: A brief review of key concepts and techniques from Day 1.
• Open Q&A to address participants’ questions or challenges encountered overnight -
2. Advanced ChatGPT Features & Use Case:
• Exploration of advanced ChatGPT functionalities, such as fine-tuning responses,
leveraging APIs, and creating chatbots.
• Case studies on innovative and impactful ChatGPT use cases across sectors. -
3. Best Practices for Implementation & Integration:
Guidance on integrating ChatGPT into professional workflows, tools, and teams.
• Practical tips for ensuring consistent and reliable performance. -
4. Scenario-Based Lab: Real-World Project:
• Hands-on exercise where participants work in teams to solve a real-world problem
using ChatGPT.
• Collaboration and peer feedback to refine solutions. -
5. Ethical & Policy Considerations for ChatGPT:
Discussion of ethical issues, biases, and responsible AI usage.
• Strategies for developing and adhering to clear policies for ChatGPT in organisational
settings. -
Capstone Project & Course Wrap-Up
6. Capstone Project, Presentations & Feedback: • Participants present their final projects, showcasing their skills in applying ChatGPT
to solve a complex challenge.
• Constructive feedback from peers and instructors to refine ideas and applications.
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7. Course Wrap-Up:
Summary of key lessons learned throughout the course.
• Next steps for participants to continue developing their ChatGPT expertise.
• Closing Q&A and celebration of participants' progress.
