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 — 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 — agents that 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.
Head
Santiago G. Drayton
Santiago builds production AI automations daily and distills that experience into pragmatic, engineering-first lessons without the hype.
4.9/5€995
Course information
Overview
- 5 modules
- 16 lessons
- 7.5 hrs of video content
- 10 tasks
- 12 files with presentations
Protected by Impacter's guarantee: 100% refundable within the first 2 weeks.
Drie AI-agents, klaar voor gebruik.
Bij elke training horen drie kant-en-klare AI-agents, gekozen op uw sector en ingericht op uw manier van werken. Ze staan klaar zodra de training is afgerond — geen implementatietraject, geen extra factuur.
E-mailtriage Agent
Sorteert de inbox op onderwerp en urgentie, schrijft concepten voor terugkerende vragen en legt alles wat een oordeel vraagt bij een mens neer.
Kennisbank-zoekagent
Beantwoordt vragen in gewone taal uit uw eigen documenten, procedures en handleidingen — met verwijzing naar de bron, zodat het controleerbaar blijft.
Documentopsteller
Maakt eerste versies van terugkerende stukken — rapportages, brieven, verslagen — uit gegevens die u al heeft, klaar om na te lopen en te versturen.
Alle agents draaien op Europese infrastructuur, gebruiken uw gegevens nooit om modellen van derden te trainen, en leggen elke beslissing die telt bij een benoemd mens neer.
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 — which needs different habits: scoping work correctly, setting up guardrails, and reviewing output at a higher altitude. That shift is what the course trains.