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.

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.

Introduction to Custom GPTs & System Instructions — Learn the core architecture of Custom GPTs and write highly optimized system instructions in the GPT Builder to define specific behaviors and personas.
Configuring Knowledge Bases in Custom GPTs — Understand how to upload, structure, and reference external documents within a Custom GPT's knowledge base to prevent hallucinations and improve retrieval accuracy.
Testing and Iterating on Custom GPT Behavior — Use the interactive Preview pane to run diagnostic prompts, identify instruction drift, and refine your GPT's operational boundaries.
Code Interpreter Fundamentals & File Uploads — Learn how the sandbox Python environment works in ChatGPT, upload structured datasets (CSVs/Excel), and execute initial data exploration queries.
Advanced Data Manipulation and Visualization — Perform complex data cleaning, statistical calculations, and generate interactive visual charts (scatter plots, heatmaps) directly in the tool.
Troubleshooting and Debugging Code Executions — Examine execution logs, debug failed Python scripts, and handle edge cases like missing values or timeout limits within the sandbox environment.
Understanding Reasoning Models & Chain-of-Thought — Explore how reasoning models (such as o1 and o3-mini) leverage internal chain-of-thought processing to solve complex, multi-step logical problems.
Prompt Engineering for Complex Logic and Math — Craft advanced prompt structures tailored for reasoning models to solve intricate coding, math, and logical deduction tasks.
Comparative Analysis: Standard vs. Reasoning Models — Evaluate and compare outputs from standard models (GPT-4o) and reasoning models to determine the most cost-effective and performant tool for various tasks.
Introduction to GPT Actions & OpenAPI Schemas — Learn how GPT Actions bridge the gap to external databases, and write basic OpenAPI JSON/YAML schemas to define API endpoints.
Authentication and Connecting External APIs — Configure API authentication keys and headers within the Custom GPT interface to securely communicate with third-party web services.
End-to-End Integration Lab: Building an Action-Enabled GPT — Build and test a fully functional Custom GPT that triggers external actions to fetch live data, process it via code interpreter, and format the final output.

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. This course maps to Prompt Crafting, Prompt Engineering, Working with AI Tools, AI Tool Usage, Data Analysis.

Prompt Crafting
Prompt Engineering
Working with AI Tools
AI Tool Usage
Data Analysis

Who it is for

Power users, analysts. The material is pitched at intermediate level, and takes roughly 180 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, code lab 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: 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.
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 — A hands-on introduction to working productively with ChatGPT. Learners select the right model and mode, prompt effectively, set custom instructions and memory, and work with images and voice. They leave ready to use ChatGPT for writing, brainstorming, and quick analysis.
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.
Data & Analytics with AI — Query, analyze, and explain data with AI
ChatGPT Mastery — Complete fluency in ChatGPT from first touch to building

Frequently asked questions

How long does this course take?

It runs roughly 180 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-201.