Technical Mastery with Claude Code
Build your AI agents and AI automations with Claude Code and the tools around it

About this course
The deepest technical track in the catalog. You'll drive Claude Code like a senior engineer: agentic coding workflows, MCP servers, hooks and skills, automated review and CI, giving you everything you need to build and ship AI automations with confidence.
Learning objectives
This course is built with clear objectives to help you gain both knowledge and practical skills, ensuring you can understand and apply what you learn with confidence.
- Master agentic coding workflows: plan, delegate, verify, ship.
- Extend Claude Code with MCP servers, hooks and custom skills.
- Automate code review, testing and refactoring with agents.
- Wire Claude Code into CI for scheduled and triggered automation.
- Build and debug AI automations that touch real systems safely.
- Structure repositories so agents navigate them effectively.
- Manage context, cost and model selection like a pro.
- Lead an engineering team through AI-native adoption.
Requirements
- Basic programming experience is recommended for this track.
- A laptop with a terminal and internet access.
- Best suited for engineers, tech leads and heads of engineering.
About this course
This is a hands-on course: every lesson is driven from a real repository, and every technique is demonstrated on real code rather than toy examples.
You'll progress from single-session workflows to fully automated pipelines, where agents review pull requests, run scheduled maintenance, and build features under human supervision. By the end, you'll have a working automation portfolio you can bring straight to your team.

From €495
Course information
Overview
- 5 modules
- Classroom, on site
- Full or half day, 4 to 8 hours
- Hands-on exercises on your own codebase
- Slides and exercise material to take home
Protected by Impacter's guarantee: 100% refundable within the first 2 weeks.
Enroll in Technical Mastery with Claude Code.
Leave your details and we schedule your training day. You pay after the intake, and it is 100% refundable within the first 2 weeks.
From €495 per person, excluding VAT
Three AI agents, ready to use.
Every training comes with three ready-made AI agents, chosen for your sector and set up around the way you work. They're live the moment the training ends, with no implementation project and no extra invoice.
Email Triage Agent
Sorts the inbox by topic and urgency, drafts replies to recurring questions, and hands anything that needs judgement to a person.
Knowledge Base Agent
Answers questions in plain language from your own documents, procedures and manuals, citing the source, so every answer can be checked.
Document Drafter
Produces first drafts of recurring documents, such as reports, letters and summaries, from data you already have, ready to review and send.
All agents run on European infrastructure, never use your data to train third-party models, and hand every decision that matters to a named person.
Questions about this course.
Who it is for, what you will be able to do afterwards, how long it takes and what you need to know before starting.
Claude Code is Anthropic's agentic coding tool that works directly in your terminal and IDE, running multi-step engineering tasks against a real codebase. Learning it matters because it shifts developer work from writing every line to specifying, reviewing and orchestrating, which is where most of the productivity gain now sits.
Yes, broadly. You should be comfortable with the command line, version control and reading code. Non-technical colleagues are better served by the AI-Native Professional Certification, which covers orchestration without requiring an engineering background.
Working AI agents and automations using Claude Code and the tooling around it, including custom tools, MCP integrations and repeatable workflows, so you leave with automations running against your own projects rather than sample exercises.
An assistant completes the line you are writing. Agentic coding delegates a whole task: investigate, change several files, run the tests, iterate. That needs different habits: scoping work correctly, setting up guardrails, and reviewing output at a higher altitude. That shift is what the course trains.