ChatGPT Course

Lesson 1 • Capabilities and Limitations Overview

Maps what ChatGPT can and cannot reliably do, including hallucination risks. Sets realistic expectations that prevent misuse throughout the course.

Lesson 2 • Understanding Large Language Models

Explains transformer architecture, training data, and token-based processing in plain language. Connects model behaviour to practical user expectations.

Lesson 3 • What Is Generative AI

Covers the definition, history, and mechanics of generative AI models. Establishes the conceptual baseline needed for all subsequent ChatGPT instruction.

Lesson 1 • Iterative Prompt Refinement

Teaches a structured feedback loop for improving outputs through follow-up prompts. Builds the habit of treating prompting as an iterative dialogue, not a single query.

Lesson 2 • Common Prompting Mistakes to Avoid

Catalogues frequent errors such as overloading prompts and ignoring context limits. Learners apply diagnostic checklists to audit and fix their own prompts.

Lesson 3 • Instruction Clarity and Specificity

Demonstrates how vague instructions produce poor results and precise ones yield quality output. Learners practise rewriting ambiguous prompts into specific directives.

Lesson 4 • Zero-Shot and Few-Shot Prompting

Introduces zero-shot, one-shot, and few-shot techniques with practical examples. Learners select the right technique based on task complexity and desired consistency.

Lesson 1 • Chain-of-Thought Prompting

Teaches prompts that instruct ChatGPT to reason step by step before answering. Improves accuracy on analytical, mathematical, and logical tasks significantly.

Lesson 2 • Constraint-Based and Negative Prompting

Teaches how to exclude unwanted content and enforce strict output boundaries. Learners use negative constraints to reduce hallucinations and off-topic responses.

Lesson 3 • Role-Playing and Persona Prompts

Explores assigning expert personas to shape tone, depth, and domain accuracy. Learners practise persona prompts for consulting, coaching, and creative scenarios.

Lesson 4 • Structured Output Formatting

Covers prompting for JSON, tables, bullet lists, and markdown-formatted responses. Enables learners to integrate ChatGPT outputs directly into tools and documents.

Lesson 1 • Summarisation and Repurposing Content

Teaches extraction of key insights from long documents and reformatting for new uses. Learners convert reports, transcripts, and articles into multiple derivative formats.

Lesson 2 • Writing and Editing Professional Documents

Covers drafting reports, memos, proposals, and emails with ChatGPT assistance. Learners apply editing prompts to improve clarity, tone, and structure in existing text.

Lesson 3 • Marketing and Persuasive Copywriting

Teaches prompts for ad copy, landing pages, taglines, and persuasive narratives. Learners align copy with brand voice and audience psychology using targeted prompts.

Lesson 4 • Social Media Content at Scale

Produces platform-specific posts, captions, and content calendars using ChatGPT. Learners batch-create content efficiently while preserving engagement and authenticity.

Lesson 1 • Using ChatGPT for Research Assistance

Covers literature exploration, topic mapping, and question generation for research tasks. Learners understand how to verify ChatGPT-generated information against authoritative sources.

Lesson 2 • Critical Evaluation of AI-Generated Analysis

Develops skills to identify bias, gaps, and errors in ChatGPT analytical outputs. Learners apply a verification checklist before using AI analysis in professional deliverables.

Lesson 3 • Data Interpretation and Summarisation

Teaches prompts that extract meaning from datasets, tables, and statistical summaries. Learners translate raw data descriptions into clear narrative insights for stakeholders.

Lesson 1 • Organisational AI Use Policies

Guides learners in drafting, reviewing, and complying with workplace AI usage policies. Connects ethical principles to enforceable organisational standards and governance.

Lesson 2 • Intellectual Property and Attribution

Addresses ownership questions around AI-generated content and proper disclosure norms. Learners apply attribution guidelines appropriate to their professional and creative contexts.

Lesson 3 • Privacy and Data Security Practices

Covers what data should never be entered into ChatGPT and how to anonymise inputs. Learners apply data hygiene rules that protect clients, colleagues, and organisations.

Lesson 4 • Avoiding Misinformation and Hallucinations

Teaches verification habits that prevent AI-generated errors from reaching stakeholders. Learners build a fact-checking workflow integrated into every AI-assisted deliverable.

Lesson 1 • Measuring Productivity Gains

Establishes metrics and tracking methods to quantify time saved through AI assistance. Learners build a personal ROI case for continued and expanded ChatGPT adoption.

Lesson 2 • Automating Repetitive Writing Tasks

Identifies high-frequency writing tasks and builds reusable prompt templates for them. Learners reduce time spent on routine communications, reports, and documentation.

Lesson 3 • Integrating ChatGPT with Other Tools

Covers copy-paste workflows, browser extensions, and API-adjacent integrations. Learners connect ChatGPT outputs to productivity suites, note-taking apps, and documents.

Lesson 4 • Building Personal Prompt Libraries

Teaches systematic organisation of proven prompts into searchable personal libraries. Learners create categorised prompt collections that accelerate future task completion.

Lesson 1 • Training and Upskilling Teams

Covers adult learning principles applied to AI training programme design and delivery. Learners create training plans that build team competency progressively and sustainably.

Lesson 2 • Sustaining and Scaling AI Initiatives

Addresses governance, continuous improvement, and scaling successful AI pilots. Learners design feedback loops that keep AI programmes aligned with evolving business needs.

Lesson 3 • Communicating AI Value to Stakeholders

Teaches how to frame AI benefits in business terms for executives and decision-makers. Learners craft compelling narratives and data-backed cases for AI investment.

Lesson 4 • Assessing Organisational AI Readiness

Provides frameworks for evaluating team skills, infrastructure, and cultural readiness for AI. Learners produce a readiness scorecard to guide phased adoption planning.