ChatGPT: Advanced — Power Workflows & Automation

The step between everyday fluency and leading work with ChatGPT, without writing code. Learners design multi-step workflows, automate recurring work with Work, plugins, Scheduled tasks, Custom GPTs and Sites, keep long-running tasks on track, and set personal systems that compound over weeks. They finish as the person on the team others come to for ChatGPT technique.

What this course covers

The course runs across 12 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

Deconstructing Workflows: Mapping Recurring Tasks for AI Automation — Learn how to analyze daily and weekly recurring tasks, identify automation bottlenecks, and map out a structured sequence suitable for AI execution.
Multi-Step Prompting: Designing Sequential Chains in ChatGPT — Master advanced prompt engineering techniques, including chain-of-thought prompting and output constraints, to execute complex, multi-stage tasks.
Building Custom GPTs: System Instructions and Knowledge Grounding — Construct a Custom GPT by configuring precise system instructions, uploading reference files, and defining its operational boundaries.
Plugins in multi-step work — use what you have — Use the approved plugins your workspace allows (Google Drive or SharePoint/OneDrive, Gmail or Outlook) inside multi-step Work tasks, pulling context with @ and the app name. Check availability on your own screen; if blocked, send IT an approval note and continue with the supplied sample, graded the same. Approve before any write action.
Scheduled tasks: once, recurring, on an event or watching for changes — Turn a recurring workflow into a Scheduled task that runs once, on a schedule, when something happens in a connected app, or to watch for a change, and review its results before anything goes out. Know when an external automation tool is still the better choice.
Sites: turning recurring work into a living page — Turn a report or plan into an interactive Site that updates as the information changes, decide who should see it, and check what your workspace and region allow before sharing it publicly.
Personal Operating Systems: Reusable Templates and Prompt Libraries — Build a personal system of reusable templates, variable-based prompts, and meta-prompts to guarantee consistent daily output.
Long-running Work tasks: keeping them on track — Brief Work for a task that takes many steps, keep it inside a Project for context, answer its check-ins, redirect it mid-task, and stop it when it drifts.
High-Volume Quality Control: Establishing Evaluation Frameworks — Learn how to systematically review, score, and filter high-volume AI outputs using rubric-based prompting and self-correction loops.
Debugging Workflows: Handling Hallucinations and Format Drift — Identify and resolve common workflow failures, such as JSON format drift, unexpected hallucinations, and instruction-following decay.
Coaching Teammates: Diagnosing and Correcting Prompting Habits — Practice reviewing peer prompts, diagnosing weak instructions, and coaching colleagues to improve their direct prompting technique.
Scaling AI Capability: Creating Team Playbooks and Shared GPTs — Learn how to package your custom tools, templates, and workflows into a shared team playbook to compound productivity across your organization.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick.

Who it is for

Experienced ChatGPT users. The material is pitched at advanced level, and takes roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Tool: ChatGPT track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including guided lab, branching scenario, role play exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a lab assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Also in this track

All ChatGPT training courses →
ChatGPT for Developers: Advanced — Agentic Engineering with Codex — Agentic engineering with Codex for experienced developers: plan long tasks, run parallel threads in worktrees and with subagents, back instructions with hooks and guardrails, share skills and plugins across a team, review pull requests with Codex on GitHub, run Codex headless with codex exec and the official GitHub Action, lock down sandbox and admin policy, and control cost and speed by measuring real runs.
ChatGPT: Mastery — Leading Work with ChatGPT — Lead reliable work with ChatGPT in any role using the 4Ds: delegation, description, discernment and diligence. Redesign a workflow, package expertise, supervise Work when it acts, run team tasks within your company's governance, and measure impact and spend without a technical background; code and integrations belong in ChatGPT for Developers.
ChatGPT for Developers: Mastery — Building with the OpenAI API — Build reliable OpenAI API integrations with the Responses API, structured outputs, tool calling and the Agents SDK. Compare hosted File Search with custom RAG and ship a tested agent with code-enforced guardrails, evals, cost and rate-limit controls
ChatGPT: Core — Custom GPTs, Data Analysis & Reasoning — A hands-on working level for experienced ChatGPT users in any role. Build Custom GPTs and Projects, analyze uploaded data, compare reasoning approaches, bring your apps into Work through plugins and @mentions, and run Work tasks with a plan and approvals. No technical background needed; for code and integrations take ChatGPT for Developers.
What's New in ChatGPT for Developers — A short refresher on the latest ChatGPT, Codex and OpenAI API updates for developers
ChatGPT for Everyone Pathway — Complete fluency in ChatGPT from first touch to building. Also includes 4 optional playbooks (Everyday Productivity, Research, Data & Analysis, Coding) to take any time after Essentials; they don't count toward the certificate.

Frequently asked questions

How long does this course take?

It runs roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code TUL-GPT-251.