ChatGPT Prompt Engineering Course

Lesson 1 • What Is Generative AI

Defines generative AI and distinguishes it from traditional software. Establishes the conceptual framework used throughout the course.

Lesson 2 • Setting Up Your ChatGPT Account

Guides account creation, interface navigation, and plan selection. Ensures every student can access ChatGPT before advancing.

Lesson 3 • ChatGPT Architecture Overview

Explains transformer models, tokens, and probability-based text generation. Connects model mechanics to practical output behaviour.

Lesson 1 • Instruction Clarity Techniques

Teaches precise language, active verbs, and constraint-setting to reduce ambiguous outputs. Directly improves first-attempt response quality.

Lesson 2 • Anatomy of an Effective Prompt

Breaks a prompt into role, task, context, and format components. Provides a reusable structure for every prompt written in the course.

Lesson 3 • Output Format Control

Covers requesting structured outputs such as lists, tables, JSON, and markdown. Enables students to integrate ChatGPT outputs into workflows.

Lesson 4 • Context and Background Injection

Shows how supplying background information shapes model responses. Students learn to front-load relevant facts for accurate outputs.

Lesson 1 • Constraint and Boundary Setting

Covers negative constraints, topic restrictions, and output guardrails. Prevents off-topic or harmful outputs in professional contexts.

Lesson 2 • Role and Persona Prompting

Explores assigning expert personas to shape tone, depth, and perspective. Enables specialised outputs without domain expertise.

Lesson 3 • Meta-Prompting and Self-Critique

Instructs ChatGPT to evaluate and improve its own outputs within a session. Produces higher-quality results through automated self-review loops.

Lesson 4 • Few-Shot and Zero-Shot Prompting

Contrasts providing examples versus no examples to guide model behaviour. Students choose the right approach based on task complexity.

Lesson 1 • Multi-Turn Conversation Mechanics

Explains how ChatGPT tracks conversation history and context limits. Students structure dialogues to avoid context loss.

Lesson 2 • Conversation Flow Design

Teaches planning conversation arcs with defined goals and checkpoints. Connects structured dialogue design to professional task completion.

Lesson 3 • Managing Long-Context Tasks

Addresses strategies for tasks that exceed a single context window. Students split, summarise, and chain sessions to handle large projects.

Lesson 1 • Writing and Editing Workflows

Builds end-to-end workflows for drafting, revising, and polishing text. Integrates ChatGPT as a writing partner rather than a replacement.

Lesson 2 • Marketing and Copywriting Prompts

Covers persuasive copy, headlines, calls to action, and ad text generation. Connects copywriting principles to prompt structure.

Lesson 3 • Long-Form Content Production

Guides creation of articles, reports, and white papers using structured prompts. Teaches outline-first methods for coherent long documents.

Lesson 4 • SEO and Audience-Targeted Writing

Integrates keyword targeting and audience personas into content prompts. Produces search-optimised, reader-focused output.

Lesson 1 • Building Reusable Prompt Templates

Covers parameterised prompt design with placeholders for variable inputs. Enables consistent, scalable outputs across teams.

Lesson 2 • Integrating ChatGPT with Other Tools

Introduces API basics and no-code integration platforms for workflow automation. Extends ChatGPT's reach beyond the chat interface.

Lesson 3 • Data Summarisation and Reporting

Uses ChatGPT to condense data, extract insights, and draft reports. Connects analytical prompting to business decision support.

Lesson 4 • Email and Communication Automation

Applies prompt templates to drafting, summarising, and responding to emails. Reduces communication overhead in professional settings.

Lesson 1 • Critical Evaluation of AI Outputs

Teaches verification strategies for ChatGPT-generated facts and claims. Builds responsible research habits essential for professional credibility.

Lesson 2 • Synthesising Complex Information

Guides multi-source synthesis, comparison tables, and executive summaries. Transforms raw information into decision-ready insights.

Lesson 3 • Competitive and Market Analysis

Applies ChatGPT to SWOT analysis, competitor profiling, and trend synthesis. Produces structured analytical outputs for business decisions.

Lesson 1 • Privacy and Data Security

Covers risks of sharing sensitive data with AI systems and mitigation strategies. Aligns ChatGPT use with organisational data protection policies.

Lesson 2 • Future-Proofing Ethical Practice

Prepares students for evolving AI regulations and ethical standards. Encourages continuous learning as the AI landscape changes.

Lesson 3 • Misinformation and Content Integrity

Addresses the risk of generating and spreading AI-produced misinformation. Builds verification habits and transparent disclosure practices.

Lesson 4 • Bias and Fairness in AI Outputs

Examines how training data bias surfaces in ChatGPT responses. Students apply detection and mitigation prompts to reduce biased outputs.