Training Course Plan – ChatGPT: Understanding How It Works and Its Applications

Learning Objectives

By the end of the training, participants will be able to:
✅ Explain the basic functioning of a large language model (LLM).
✅ Identify the strengths and limitations of ChatGPT.
✅ Apply ChatGPT in different contexts (education, business, healthcare, research).
✅ Develop critical thinking when evaluating AI-generated outputs.
✅ Integrate ChatGPT as a support tool without over-reliance.

Organization

• Duration: 12–15 hours (flexible: 2 intensive days or 5 shorter sessions).

• Methodology: interactive lectures, demonstrations, hands-on practice, and case studies.

• Target audience: students, educators, professionals, managers, or anyone interested in AI literacy.

Detailed Program

Module 1: Introduction to Generative AI and LLMs

• What is a language model?

• Evolution of GPT models (GPT-1 → GPT-4).

• Training data and machine learning principles.

Module 2: How ChatGPT Works

• Next-token prediction explained.

• The role of transformers architecture.

• Reinforcement Learning with Human Feedback (RLHF).

• Live demo: generating text with ChatGPT.

Module 3: Practical Applications

• Education: tutoring, content creation, personalized learning.

• Business: emails, reports, brainstorming, automation.

• Research: summarization, paraphrasing, literature review assistance.

• Programming: code generation, debugging, explanations.

• Healthcare & communication: patient-friendly explanations, admin support.

Module 4: Limitations and Risks

• Biases and factual errors (“hallucinations”).

• Ethical issues (confidentiality, plagiarism, misinformation).

• Human oversight and critical validation of outputs.

Module 5: Best Practices for Effective Use

• How to design effective prompts.

• Improving results with iteration, context, and constraints.

• Guided exercises: writing, analysis, and creative generation.

Module 6: Hands-On Workshop

• Group exercises:
  ✅ Summarize a research paper.
  ✅ Create a project outline.
  ✅ Simulate a teaching dialogue.

• Group feedback: identifying strengths and pitfalls.

Module 7: Future Perspectives

• ChatGPT vs other models (Claude, Gemini, LLaMA, etc.).

• The future role of generative AI in society and work.

• Preparing to collaborate with AI responsibly.

 Teaching Methods

• Interactive lectures and discussions.

• Real-life case studies.

• Demonstrations with live use of ChatGPT.

• Personalized coaching and feedback.

Expected Outcomes

By the end of the training, participants will be able to:
✅ Clearly explain how ChatGPT functions.
✅ Use it effectively in different professional and academic contexts.
✅ Recognize and avoid misuse due to AI bias and hallucinations.
✅ Adopt a critical, responsible, and ethical approach to generative AI.