ChatGPT: Advanced — Power Workflows & Automation

This course fills the step between everyday fluency and building on the platform: running ChatGPT at an expert level without writing code. Learners design multi-step workflows, automate recurring work with custom GPTs, scheduled tasks, and connectors, 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.
Connecting GPTs to the Web: Custom Actions and API Basics — Explore how Custom GPT Actions work, including how to read and configure OpenAPI schemas to connect your GPT to external web services.
No-Code Automation: Integrating ChatGPT with Zapier and Make — Connect ChatGPT to your daily tool stack (Slack, Gmail, Google Sheets) to trigger automated workflows based on external events.
Scheduled Workflows: Running AI Tasks on Autopilot — Design and deploy automated, scheduled AI tasks that run in the background, compile reports, and deliver insights at set intervals.
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.
Managing Context Windows and State in Long-Form Workflows — Strategies for preserving critical context, managing token limits, and passing state from one workflow step to the next without performance decay.
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: Core — Custom GPTs, Data Analysis & Reasoning — An advanced course covering ChatGPT's most powerful capabilities. Learners build custom GPTs, run data analysis with code interpreter, use reasoning models for harder problems, and connect external tools through actions. They finish able to tackle complex, high-value tasks.
ChatGPT: Mastery — Building with the API — This course teaches developers to build on the OpenAI API. It covers chat completions, function calling, assistants, embeddings, and cost management. Learners leave able to integrate OpenAI models into real applications with structured, reliable output.
ChatGPT: Essentials — Data & Analysis Playbook — A focused, 30-minute playbook for doing data and analysis work in ChatGPT. Learners run real tasks end to end - data cleanup, analysis, charts, and interpretation - and leave with repeatable workflows they can use the same day.
ChatGPT: Essentials — Research Playbook — A focused, 30-minute playbook for doing research and synthesis work in ChatGPT. Learners run real tasks end to end - sources, citations, deep dives, and verification - and leave with repeatable workflows they can use the same day.
ChatGPT: Essentials — Coding Playbook — A focused, 30-minute playbook for doing coding work in ChatGPT. Learners run real tasks end to end - code generation, explanation, debugging, and review - and leave with repeatable workflows they can use the same day.
ChatGPT Essentials Proficiency — Measures whether someone can choose the right model and mode, write a prompt that gets a usable first draft, and judge what comes back. Results land on the person's skill profile alongside the courses.

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.