AI Training
Learn ChatGPT, Claude & Codex
Practical AI coaching, vibe coding, and app building—using tasks that matter to you.
Start with everyday AI, turn an idea into a small app, or learn to delegate computer tasks with supervision. Private lessons and team workshops are tailored to your starting point.
Free 15-minute consultation. Training scope and price agreed before booking.
One task. A useful result.
What would you like AI to help you do?
“I want a simple project tracker. Help me define the first feature, build a small version, and test it before adding more.”
PLAN
Define the task, context, and what success looks like.
BUILD
Work in small steps with the appropriate AI tool.
CHECK
Review the result, fix problems, and save a checkpoint.
Illustrative learning exercise, not a promise to finish an app in one lesson.
Start with the result you need
You do not need to learn every AI product. Choose one practical goal, then build your confidence with the right tools.
Use AI in everyday work
Learn how to use ChatGPT or Claude for clearer writing, research, documents, and working with information. Practise giving context and checking answers.
Build an app with AI
Explore Codex or Claude Code, understand a project’s structure, and work through one feature at a time. Learn enough to question, test, and maintain what you build.
Make your computer work for you
Explore approved file, browser, and app tasks. Start with copies of sample files, narrow permissions, and a clear review step before anything important changes.
What you can learn
Choose a focused lesson or a learning plan. We confirm your account access, tools, and learning priorities before the first session.
How to use ChatGPT
Turn a vague request into a clear brief. Practise useful prompts, file-based questions, research with source checks, and Projects for keeping related context together. Learn when to question an answer rather than accept it.
Claude by Anthropic
Use Claude for writing, analysis, and working through documents or a project brief. Understand the difference between conversational assistance and tool-enabled work, and choose the context the task actually needs.
How to use Codex
Get oriented in a project folder or repository. Ask Codex to explain existing code, propose a bounded change, run checks, and show what changed. Learn the basics of setup, reviewing edits, and keeping work recoverable.
Claude Code for app building
Explore Anthropic’s coding tool with a small project. Read plans, follow file changes, investigate errors, and review tests. Build an understanding of the workflow instead of relying on unexplained code.
Vibe coding: from idea to a small app
Describe the app you need in plain language, agree on a first feature, and iterate with AI. Add checks, version history, and documentation so a promising prototype can be understood and improved.
AI agents and computer workflows
Practise delegating a concrete task such as organizing sample files or preparing a report. Learn about connectors, local access, approvals, and checking results. Available actions depend on your app, plan, and permissions.
Build with AI. Understand what changed.
In these lessons, vibe coding starts with describing an idea to AI. We add a repeatable process for checking the result, rather than treating generated code as automatically finished.
01
Define one useful feature
For a lesson tracker, start with adding a lesson and viewing the list. Decide what should happen with missing input and use sample data. Keep payments and sensitive records out of the first experiment.
02
Inspect before changing
Ask the tool to explain the files, shared components, and current behaviour. Agree what should change and what must stay intact before generating a patch.
03
Run, test, and debug
Try the feature yourself. Check empty and error states, read test results, and give the AI a concrete failing example instead of repeatedly asking it to “fix everything.”
04
Save context and plan the next step
Review the changes, save a version-control checkpoint, and record decisions and remaining issues. Distinguish a local prototype from a service ready for real users.
Hosting, real data, logins, payments, security, accessibility, and ongoing maintenance need additional decisions and testing. A working demo is not a guarantee of a production-ready app.
Put your computer to work—keep control
Start with a task you can verify. Computer access is optional and must be available in the tool and account you use.
Possible practice tasks
Organize a copy of a folder using a naming rule you approve.
Turn permitted reference files into a report or a working document.
Compare information from approved sources and review the evidence.
Draft a repeatable workflow with a human approval step.
Access is a decision, not a shortcut
Use the smallest set of folders and connections the exercise needs. Keep a backup, check planned actions, and review outputs. Sending messages, spending money, deleting files, or changing important systems should remain under your explicit approval.
This is practical AI workflow training, not hardware repair, unrestricted remote access, or a promise that AI can control every application.
Learn with a designer who builds with AI
Training with Dejan Djokovic is based on hands-on use of AI tools in his own design and app-building work.
Bring a real question, a rough idea, or an existing project you are allowed to share. We work through how to frame the task, preserve context across sessions, inspect changes, and decide what needs human review. The aim is a workflow you can repeat—not a folder of prompts you cannot adapt.
Independent coaching, not an OpenAI or Anthropic certification programme. We check tool capabilities against current documentation and the access available in your account.
Private AI coaching or team training
Start with a free consultation. We confirm the focus, session plan, and price before you book. Software subscriptions, usage credits, and hosting are separate.
Private AI coaching
Request a quote
A personal learning plan around one task, app idea, or workflow. Suitable for beginners and people already experimenting with AI.
One learner, your starting point
A focused practical exercise
Live questions and feedback
Scope and price agreed in advance
Team AI workshops
Request a quote
A separately scoped workshop around approved company tasks and the tools your participants can access.
Shared goals and examples
Different roles and skill levels
Review and permission boundaries
A separate team-training quote
The existing Figma lesson packages, bootcamp fees, and developer-session rates do not automatically apply to this broader AI training.
Questions before you start
What to expect from ChatGPT training, Claude coaching, Codex, and AI-assisted app building.
Do I need to know how to code?
What is the difference between ChatGPT and Codex?
Is Anthropic the same thing as Claude?
What does vibe coding mean in these lessons?
Can AI work with files and apps on my computer?
Are AI subscriptions and hosting included?
Will I leave with a finished production app?
Can I bring my own app idea or company task?
Do I need Figma, and is this official vendor training?
Looking for a Figma-specific workflow?
Keep AI coaching and specialist Figma training connected without treating them as the same service.
