05 · Everyday Productivity & Automation
Python for Everyday Business Automation
Learn Python with Codex as your coding assistant and build practical automations for files, spreadsheets, business data, and reports.
Course overview
Learn Python with Codex as your coding assistant and build practical automations for files, spreadsheets, business data, and reports. During this 3-day instructor-led course, you work through the practical problem behind this work with OpenAI Codex as a guided coding and workflow assistant. You begin by defining the intended outcome, users, inputs, constraints, and success checks. With starter materials and instructor demonstrations, you build Tested Python automation project., so you can inspect Codex’s suggestions and explain how the result works. Exercises use fictional or approved sample data; keep sensitive records, passwords, and keys out of prompts and source files. The final workshop checks functionality, calculations, edge cases, and output clarity. The course is designed for Office professionals, analysts, administrators, consultants.. Prerequisites: No previous programming required.. You leave with project files where appropriate, reusable prompts, exercises, reference notes, and an adaptation checklist. The result is a learning prototype rather than automatically production-ready software; further security, deployment, accessibility, and maintenance review may be required before live use.
Every course follows the same practical path:
The Copiloted Build Method
- 01Discover
Choose a real work problem or opportunity.
- 02Design
Define requirements, inputs, constraints, and success checks.
- 03Build
Use OpenAI Codex to create a practical solution.
- 04Validate
Test behavior, calculations, privacy, and security risks.
- 05Apply
Plan how to adapt the deliverable at work.
Who should attend
- Office professionals
- analysts
- administrators
- consultants.
- business analysts
Prerequisites
No previous programming required.
Tools and access
OpenAI Codex, a browser, and the course-specific applications listed in the curriculum. Our instructors explain setup, access, and any usage limits. Use fictional or approved information only.
Participants need access to OpenAI Codex through an account and plan suitable for the exercises. Access and usage may involve separate provider charges; plans and limits vary. We will confirm the setup before training. Never share passwords, API keys, or secrets in prompts.
What you will learn
- Write scripts in a guided exercise, then verify and explain the result
- Understand data types in a guided exercise, then verify and explain the result
- Use conditions in a guided exercise, then verify and explain the result
- Create functions in a guided exercise, then verify and explain the result
- Process files in a guided exercise, then verify and explain the result
- Automate Excel in a guided exercise, then verify and explain the result
- Analyze CSV data in a guided exercise, then verify and explain the result
- Generate reports in a guided exercise, then verify and explain the result
- Debug programs in a guided exercise, then verify and explain the result
- Test solutions in a guided exercise, then verify and explain the result
Complete curriculum
Six instructional hours, excluding breaks Day. Each module includes instructor-led teaching, practical demonstration, a guided exercise with OpenAI Codex, and verification of the work.
Day 1 · Six instructional hours, excluding breaks
Python Foundations
Module 1 · 90 minutes
Python, VS Code, and Codex setup.
- Learn the workflow and business concepts behind Python, VS Code, and Codex setup.
- Follow an instructor demonstration using a fictional or approved sample scenario
- Use OpenAI Codex in a guided exercise connected to Tested Python automation project.
- Test the result, review errors and limitations, and record what needs human approval
Module 2 · 90 minutes
Variables, strings, lists, dictionaries.
- Learn the workflow and business concepts behind Variables, strings, lists, dictionaries.
- Follow an instructor demonstration using a fictional or approved sample scenario
- Use OpenAI Codex in a guided exercise connected to Tested Python automation project.
- Test the result, review errors and limitations, and record what needs human approval
Module 3 · 90 minutes
Conditions, loops, functions, exceptions.
- Learn the workflow and business concepts behind Conditions, loops, functions, exceptions.
- Follow an instructor demonstration using a fictional or approved sample scenario
- Use OpenAI Codex in a guided exercise connected to Tested Python automation project.
- Test the result, review errors and limitations, and record what needs human approval
Module 4 · 90 minutes
Lab: build a business calculator and text-processing utility.
- Learn the workflow and business concepts behind Lab: build a business calculator and text-processing utility.
- Follow an instructor demonstration using a fictional or approved sample scenario
- Use OpenAI Codex in a guided exercise connected to Tested Python automation project.
- Test the result, review errors and limitations, and record what needs human approval
Daily deliverable: Working beginner Python scripts
Day 2 · Six instructional hours, excluding breaks
Files & Spreadsheets
Module 5 · 90 minutes
File and folder automation.
- Learn the workflow and business concepts behind File and folder automation.
- Follow an instructor demonstration using a fictional or approved sample scenario
- Use OpenAI Codex in a guided exercise connected to Tested Python automation project.
- Test the result, review errors and limitations, and record what needs human approval
Module 6 · 90 minutes
CSV processing and validation.
- Learn the workflow and business concepts behind CSV processing and validation.
- Follow an instructor demonstration using a fictional or approved sample scenario
- Use OpenAI Codex in a guided exercise connected to Tested Python automation project.
- Test the result, review errors and limitations, and record what needs human approval
Module 7 · 90 minutes
Excel automation using openpyxl.
- Learn the workflow and business concepts behind Excel automation using openpyxl.
- Follow an instructor demonstration using a fictional or approved sample scenario
- Use OpenAI Codex in a guided exercise connected to Tested Python automation project.
- Test the result, review errors and limitations, and record what needs human approval
Module 8 · 90 minutes
Codex lab: consolidate multiple business workbooks.
- Learn the workflow and business concepts behind Codex lab: consolidate multiple business workbooks.
- Follow an instructor demonstration using a fictional or approved sample scenario
- Use OpenAI Codex in a guided exercise connected to Tested Python automation project.
- Test the result, review errors and limitations, and record what needs human approval
Daily deliverable: Excel consolidation utility
Day 3 · Six instructional hours, excluding breaks
Business Reporting
Module 9 · 90 minutes
Data analysis using pandas.
- Learn the workflow and business concepts behind Data analysis using pandas.
- Follow an instructor demonstration using a fictional or approved sample scenario
- Use OpenAI Codex in a guided exercise connected to Tested Python automation project.
- Test the result, review errors and limitations, and record what needs human approval
Module 10 · 90 minutes
KPI calculations and report generation.
- Learn the workflow and business concepts behind KPI calculations and report generation.
- Follow an instructor demonstration using a fictional or approved sample scenario
- Use OpenAI Codex in a guided exercise connected to Tested Python automation project.
- Test the result, review errors and limitations, and record what needs human approval
Module 11 · 90 minutes
Logging, configuration, testing, and scheduling concepts.
- Learn the workflow and business concepts behind Logging, configuration, testing, and scheduling concepts.
- Follow an instructor demonstration using a fictional or approved sample scenario
- Use OpenAI Codex in a guided exercise connected to Tested Python automation project.
- Test the result, review errors and limitations, and record what needs human approval
Module 12 · 90 minutes
Capstone: build an end-to-end reporting automation.
- Learn the workflow and business concepts behind Capstone: build an end-to-end reporting automation.
- Follow an instructor demonstration using a fictional or approved sample scenario
- Use OpenAI Codex in a guided exercise connected to Tested Python automation project.
- Test the result, review errors and limitations, and record what needs human approval
Daily deliverable: Tested Python automation project
Hands-on project
Learn Python with Codex as your coding assistant and build practical automations for files, spreadsheets, business data, and reports. The guided capstone produces Tested Python automation project.. Participants use a defined problem, sample or approved data, and visible success checks; they inspect generated work, test likely failure cases, and document unresolved risks.
What you take home
- Tested Python automation project.
- Project files and source code where applicable
- Reusable prompts, exercise materials, and reference notes
- A practical checklist for adapting and validating the work
The workshop produces a learning prototype, not automatically production-ready software. Further security, deployment, accessibility, and maintenance review may be needed before live use.
Pricing
Prices are in USD per course. Individual pricing is for live online training; corporate pricing covers up to 10 participants.
On-site delivery requires a custom quote. Travel and accommodation are separate.
Request a quote ↗Instructor-led delivery
Private remote training is available, with on-site delivery discussed when required. The session language is agreed in advance. Public-course language depends on the scheduled session.
Course FAQs
What will I build?
The course project is Tested Python automation project.. You will work through it in guided stages and leave with the daily deliverables and a practical plan for adapting the result.
Do I need coding experience?
No previous programming required. Our instructors use starter materials and explain Codex suggestions. Technical experience is helpful only where the course description requires it.
What Codex access and software do I need?
The course uses OpenAI Codex and the software named in the curriculum. Access may require a separate account or paid plan. We confirm setup and costs before training; never share credentials or API secrets.
Will the project be ready for production?
The workshop creates a tested learning prototype. Production use can require additional privacy, security, accessibility, deployment, and maintenance reviews.
Don't Just Learn AI. Build Something That Works.
Private remote training is available, with on-site delivery discussed when required. The session language is agreed in advance. Public-course language depends on the scheduled session.
Book a discovery call ↗