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OpenAI ChatGPT course

The 25 lessons of the OpenAI ChatGPT course, in order: cold attempt, diagram, worked example, exercise, graded quiz, then a proof of mastery you keep.

In brief. This course is designed for professionals and teams using OpenAI ChatGPT, from free web accounts to ChatGPT Team and Enterprise environments. It starts with core prompting foundations and systematically builds toward advanced capabilities across four milestones: Beginner, Intermediate, Advanced, Expert.
Four progressive steps: discovering ChatGPT, analyzing files, building custom GPTs, then governing enterprise AI.
Illustration generated by AI

Every lesson requires fifteen to twenty minutes of focused work following a proven learning cycle. You begin with an unaided cold attempt to evaluate your baseline reflexes. You then explore the core concept, supported by a clear diagram and an example contrasting a weak prompt with a strong one.

You move on to the hands-on exercise and analyze common operational traps. A three-question quiz confirms your understanding with immediate feedback. Finally, you submit your proof of mastery to unlock the level badge.

Without an account, all modules remain freely available and your learning history is stored locally in your browser. By registering your email, you synchronize progress across workstations and earn verifiable Open Badges.

The lessons (25)

Level 1

Beginner

“I say clearly what I want”

Beginner badge
  1. Step-by-step screenshot of OpenAI ChatGPT: (1) selecting GPT-4o model, (2) submitting comparison query, (3) structured response on model strengths.Lesson 1 · Beginner · 15 min

    What is ChatGPT: Free, Plus, Team, and Enterprise

    Understand ChatGPT workplace tiers: free web access, Plus, Team, and Enterprise plans. Data privacy rules, compliance, and choosing the right setup.Frame
    To do
  2. Step-by-step screenshot of OpenAI ChatGPT: (1) submitting prompt on token sampling, (2) live probability token stream, (3) temperature impact explanation.Lesson 2 · Beginner · 15 min

    How ChatGPT Responds: Token Prediction and Probabilities

    Understand ChatGPT token prediction engine: statistical probabilities, attention mechanisms, and the root causes of plausible hallucinations.Check
    To do
  3. Step-by-step screenshot of ChatGPT: (1) ROCC framework prompt structure, (2) specifying curl output requirement, (3) formatted technical code block delivery.Lesson 3 · Beginner · 15 min

    Writing an Effective ChatGPT Prompt: ROCC Method and Framing

    Master the ROCC prompt framework for ChatGPT: Role, Objective, Context, and Constraints. Guided workplace examples and practical framing drills.Frame
    To do
  4. Step-by-step screenshot of ChatGPT: (1) submitting persistent preference, (2) 'Memory updated' pill, (3) cross-session persistence confirmation.Lesson 4 · Beginner · 15 min

    First Conversation with ChatGPT: Steering and Memory

    Master your first ChatGPT conversation: targeted follow-ups, delta revisions, custom instructions, and active session memory controls.Steer
    To do
  5. Step-by-step screenshot of ChatGPT Search: (1) activating search globe, (2) 2026 AI Act inquiry, (3) grounded output with official European source badges.Lesson 5 · Beginner · 15 min

    ChatGPT Search and Grounding: Live Web Citations

    Master ChatGPT web search and grounding: real-time facts, verifying clickable citations, tracking industry news, and avoiding misinformation.Check
    To do
  6. Step-by-step screenshot of ChatGPT: (1) navigating to data controls, (2) turning training toggle OFF, (3) confirming GDPR-compliant zero-retention mode.Lesson 6 · Beginner · 15 min

    ChatGPT Data Privacy: GDPR, Data Controls, and Security

    Safeguard workplace data in ChatGPT: GDPR compliance, opt-out of model training, Data Controls, and the three-tier data sensitivity doctrine.Frame
    To do

Level 2

Intermediate

“I give the model what it needs to do well”

Intermediate badge
  1. Step-by-step screenshot of ChatGPT: (1) clicking prompt edit pencil, (2) branching between version 1/2 and 2/2, (3) validating refined answer.Lesson 7 · Intermediate · 15 min

    Iterating with ChatGPT: Step-by-Step Steering and Deltas

    Steer ChatGPT through iterative feedback: delta adjustments, tone tuning, context persistence, and rapid convergence toward final workplace deliverables.Steer
    To do
  2. Step-by-step screenshot of ChatGPT: (1) uploading spreadsheet via (+), (2) analytical grouping prompt, (3) verified expense breakdown table.Lesson 8 · Intermediate · 15 min

    Analyzing Documents and Files with ChatGPT

    Analyze business files with ChatGPT: spreadsheets, PDF records, and memos. Extracting key metrics, targeted summaries, and data safety precautions.Check
    To do
  3. Step-by-step screenshot of ChatGPT Vision: (1) uploading diagram into chat, (2) querying for single point of failure, (3) pinpointed architectural diagnosis.Lesson 9 · Intermediate · 15 min

    Multimodal Vision: Analyzing Charts and Images in ChatGPT

    Leverage ChatGPT vision capabilities: interpreting charts, technical diagrams, whiteboard notes, and photos. OCR and visual workplace audits.Check
    To do
  4. Step-by-step screenshot of ChatGPT Code Interpreter: (1) importing CSV dataset, (2) running Python pandas code, (3) rendering horizontal bar chart.Lesson 10 · Intermediate · 15 min

    Advanced Data Analysis: Exact Computations with Python

    Master Advanced Data Analysis in ChatGPT: executing Python in a secure sandbox, data hygiene, exact computations, and exportable charts.Check
    To do
  5. Step-by-step screenshot of ChatGPT Canvas: (1) split screen with chat and editable doc, (2) targeted sentence highlighting, (3) draft version history toggle.Lesson 11 · Intermediate · 15 min

    ChatGPT Canvas: Collaborative Workspace and Inline Editing

    Collaborate with ChatGPT Canvas: side-by-side editing workspace, inline paragraph tweaks, reading level adjustments, and live code reviews.Steer
    To do
  6. Step-by-step screenshot of ChatGPT: (1) strict verbatim quotation prompt, (2) zero-tolerance for confabulation, (3) transparent admission and factual retraction.Lesson 12 · Intermediate · 15 min

    Hunting ChatGPT Hallucinations: Detection and Verification

    Hunt down and eliminate ChatGPT hallucinations: source cross-examination, mandatory citation clauses, sycophancy checks, and factual audits.Check
    To do
  7. Step-by-step screenshot of ChatGPT Voice: (1) dynamic sound orb, (2) low-latency speech conversation, (3) instant text transcript generation.Lesson 13 · Intermediate · 15 min

    Advanced Voice Mode: Real-Time Audio Dialogue

    Utilize ChatGPT Advanced Voice Mode: natural low-latency voice dialogue, professional interview simulations, and executive meeting minutes.Steer
    To do

Level 3

Advanced

“I make it reason and I make it verify”

Advanced badge
  1. Step-by-step screenshot of OpenAI o1: (1) selecting reasoning model, (2) 'Thought for 14 seconds' CoT accordion, (3) formal security proof delivery.Lesson 14 · Advanced · 15 min

    Reasoning Models o1 and o3-mini: Complex Problem Solving

    Master OpenAI o1 and o3-mini reasoning models: hidden chain of thought, deep logical deduction, complex math, and speed versus cost trade-offs.Frame
    To do
  2. Step-by-step screenshot of OpenAI GPT Builder: (1) configure tab and system instructions, (2) knowledge base with 3 PDFs, (3) live preview simulator.Lesson 15 · Advanced · 15 min

    Creating a Custom GPT Without Code: Instructions and Knowledge

    Build a custom GPT without coding: crafting system instructions, uploading Knowledge files, shaping tone, and secure team workspace sharing.Frame
    To do
  3. Step-by-step screenshot of Custom GPT Actions: (1) OpenAPI schema editor, (2) secure auth settings, (3) testing external API call with HTTP 200 OK.Lesson 16 · Advanced · 15 min

    Custom GPT Actions and APIs: OpenAPI Schemas and Webhooks

    Connect custom GPTs to enterprise APIs: OpenAPI specs, JSON schemas, authentication methods, and triggering automated external workflows.Frame
    To do
  4. Step-by-step screenshot of ChatGPT prompt chaining: (1) step 1 data handoff, (2) classification against risk matrix, (3) validated milestone for step 3.Lesson 17 · Advanced · 15 min

    Chaining Prompts in ChatGPT: Complex Multi-Step Workflows

    Chain prompts into multi-step workflows: breaking complex processes into modular steps, passing context, and standardizing final outputs.Steer
    To do
  5. Step-by-step screenshot of ChatGPT Team: (1) shared team prompt repository, (2) entering parameters, (3) compliant standardized code review report.Lesson 18 · Advanced · 15 min

    Team Prompt Library: Organizational Sharing and Governance

    Build a team prompt library: standardized prompt cards, version governance, ChatGPT Projects workspaces, and scaling workplace best practices.Frame
    To do
  6. Step-by-step screenshot of ChatGPT: (1) 4-dimension audit rubric, (2) criteria evaluation, (3) validated 19/20 production score.Lesson 19 · Advanced · 15 min

    ChatGPT Evaluation Rubrics: Systematic Auditing and QA

    Audit ChatGPT outputs with a multi-criteria rubric: prompt compliance, factual grounding, stylistic alignment, and bias mitigation.Check
    To do

Level 4

Expert

“I design prompts that others reuse”

Expert badge
  1. Step-by-step screenshot of ChatGPT: (1) meta-prompting command, (2) weakness audit, (3) hardened prompt with XML boundaries ready for use.Lesson 20 · Expert · 15 min

    Meta-Prompting in ChatGPT: Generating Prompts with AI

    Master meta-prompting in ChatGPT: directing the model to generate, audit, and optimize your prompts against strict workplace quality benchmarks.Frame
    To do
  2. Step-by-step screenshot of OpenAI Playground: (1) system instructions panel, (2) temperature set to 0.1 and strict JSON schema, (3) machine-readable JSON output.Lesson 21 · Expert · 15 min

    OpenAI Playground: Temperature, Top_p, and Strict JSON

    Master the OpenAI Playground: temperature, top_p sampling, context windows, strict JSON Structured Outputs, and side-by-side model comparisons.Frame
    To do
  3. Step-by-step screenshot of OpenAI Evals: (1) adversarial test suite, (2) automated evaluation run, (3) 95% robustness gate validation.Lesson 22 · Expert · 15 min

    Prompt Test Suites and Robustness: Systematic Benchmarking

    Construct prompt benchmarking test sets: edge cases, adversarial inputs, automated evaluation matrices, and non-regression quality validation.Check
    To do
  4. Step-by-step screenshot of ChatGPT: (1) sycophancy trap query, (2) refusal to confirm false premise, (3) factual TCO inference trade-off analysis.Lesson 23 · Expert · 15 min

    ChatGPT Failure Modes and Biases: Cognitive Vulnerabilities

    Neutralize ChatGPT failure modes: sycophancy bias, lost in the middle context drop-offs, attention drift, and adversarial debiasing protocols.Check
    To do
  5. Step-by-step screenshot of ChatGPT Workshop: (1) team challenge kick-off, (2) peer comparison of prompt variants, (3) promoting winning prompt card.Lesson 24 · Expert · 15 min

    Running a ChatGPT Workshop: Team Enablement and Practice

    Run an enterprise ChatGPT workshop: flipped learning, timed promptathon challenges, collaborative peer evaluation, and sustainable team habits.Steer
    To do
  6. Step-by-step screenshot of AI governance: (1) ingress filtering gateway, (2) dynamic routing for sensitive flows, (3) sovereign inference on dedicated QDNA servers.Lesson 25 · Expert · 15 min

    AI Usage Policy, Security, and Sovereignty: QDNA Governance

    AI governance and sovereignty: three-tier data classification, EU AI Act compliance, and trade-offs between public cloud and sovereign QDNA servers.Frame
    To do