ChatGPT Course for Beginners

Lesson 1 • What ChatGPT Is and How It Works

Explains the large language model technology behind ChatGPT and its capabilities. Sets accurate expectations before hands-on use begins.

Lesson 2 • Navigating the ChatGPT Interface

Covers the layout of the chat window, sidebar, and controls. Familiarity with the interface reduces friction in all later exercises.

Lesson 3 • Creating and Configuring Your Account

Walks through account registration, plan options, and initial settings. Ensures every student has a working setup before practising.

Lesson 1 • Providing Context and Constraints

Teaches how to supply background information and set boundaries within a prompt. Constraints prevent off-topic or overly broad responses.

Lesson 2 • Avoiding Common Prompt Mistakes

Identifies frequent errors such as ambiguity, overloading, and conflicting instructions. Correcting these mistakes raises output quality across all use cases.

Lesson 3 • Core Prompt Structures and Patterns

Introduces proven prompt templates such as instruction, role, and example-based formats. Students apply each pattern to real tasks immediately.

Lesson 4 • Iterating and Refining Prompts

Covers techniques for diagnosing weak outputs and improving prompts through iteration. Students practise a feedback loop that sharpens results quickly.

Lesson 1 • Using Custom Instructions and Memory

Introduces persistent custom instructions and memory features that carry context across sessions. Students configure these to reduce repetitive setup.

Lesson 2 • How ChatGPT Remembers Within a Session

Explains the context window and how prior messages influence current responses. Understanding this prevents confusion when outputs seem inconsistent.

Lesson 3 • Organising and Reusing Conversations

Covers naming, searching, and archiving chats for future reference. Good organisation saves time and enables reuse of valuable exchanges.

Lesson 1 • Summarising and Condensing Content

Covers techniques for generating accurate summaries of long texts, articles, and documents. Students practise controlling summary length and focus.

Lesson 2 • Editing and Proofreading Existing Text

Teaches how to paste text into ChatGPT for grammar, clarity, and style improvements. Students compare AI edits critically before accepting changes.

Lesson 3 • Drafting Professional Documents

Covers prompting strategies for generating emails, reports, and proposals from scratch. Students learn to provide enough structure for usable first drafts.

Lesson 4 • Adjusting Tone, Style, and Voice

Explains how to instruct ChatGPT to rewrite content in different registers and voices. Tone control is essential for audience-appropriate communication.

Lesson 1 • Conducting Research with ChatGPT

Covers how to use ChatGPT to explore topics, synthesise concepts, and identify knowledge gaps. Students learn to verify AI-generated information critically.

Lesson 2 • Structuring Reports and Presentations

Covers using ChatGPT to build outlines, section headers, and narrative flow for reports. Students translate raw ideas into organised, presentation-ready structures.

Lesson 3 • Analysing Text and Data Descriptions

Applies ChatGPT to qualitative analysis tasks such as theme extraction and argument mapping. Students structure analytical prompts for consistent, useful outputs.

Lesson 1 • Chain-of-Thought and Step-by-Step Prompting

Teaches prompts that instruct the model to reason through problems step by step. This technique dramatically improves accuracy on complex analytical tasks.

Lesson 2 • Structured Output Formatting

Teaches prompts that produce tables, JSON, markdown, and numbered lists on demand. Structured outputs integrate directly into documents and workflows.

Lesson 3 • Persona and Role-Based Prompting

Covers assigning expert personas to shape response style, depth, and perspective. Students use personas to access domain-specific language and framing.

Lesson 4 • Meta-Prompting and Self-Critique

Introduces prompts that ask ChatGPT to evaluate, critique, or improve its own outputs. Self-critique loops raise quality without requiring external review.

Lesson 1 • Creating Reusable Prompt Templates

Teaches how to design and store prompt templates for recurring tasks. Templates reduce setup time and ensure consistent output quality.

Lesson 2 • Building a Personal AI-Assisted Workflow

Guides students in combining templates, memory, and habits into a cohesive daily workflow. A documented workflow ensures sustained productivity improvement.

Lesson 3 • Identifying Tasks Suitable for AI Assistance

Helps students audit their workload to find high-value automation opportunities. Prioritising the right tasks maximises return on AI investment.

Lesson 4 • Speeding Up Email and Communication Tasks

Applies ChatGPT to inbox management, reply drafting, and meeting follow-ups. Students cut communication time while maintaining professional quality.

Lesson 1 • Ethical Use and Bias Awareness

Addresses bias in AI outputs, responsible content generation, and ethical boundaries. Students recognise and mitigate bias before acting on AI-generated content.

Lesson 2 • Building a Strategic AI Adoption Plan

Guides students in creating a personal or team-level plan for sustainable AI integration. A clear strategy ensures AI use grows in value over time.

Lesson 3 • Data Privacy and Information Security

Explains what data is sent to the model and how to protect sensitive information. Students apply safe data-handling practices before every AI interaction.

Lesson 4 • Knowing When Not to Use ChatGPT

Defines task categories where AI assistance is inappropriate or risky. Students develop judgement about when human expertise must take precedence.