🇬🇧 February 15, 2027
Learn to design, build, deploy and govern AI-powered automation systems. No experience needed: start with no-code workflows and finish with production-ready systems in code.
🇬🇧 February 15, 2027
🇩🇪 April 19, 2027
Apply now by filling out this simple form and start your journey toward an exciting new opportunity.
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Every business is automating, and someone has to build those systems. Companies are wiring AI into the work they already do, and most of them can connect tools but cannot build, secure or govern what sits underneath. The AI Automation Engineering Course trains you for exactly that gap: every concept is built first in no-code, then rebuilt from scratch in code. You leave able to design an automation, build it properly, deploy it and stand behind it in production.
48.000€ - 58.000€ per year
58.000€ - 75.000€ per year
75.000€ - 90.000€ per year
Our 40-week curriculum runs across six modules, ending with a four-week final project: n8n, Python, APIs, databases, AI agents, your own MCP servers, deployment, governance and Microsoft Foundry on Azure.
The course is strictly project-based: you build one automation system and extend, rebuild and harden it in every module.
AI sits in every phase of this course instead of being added at the end. You work with generative and agentic AI from your first month, use Claude Code as your pair-programmer throughout, and finish able to build agents with memory, guardrails and governance.
From day one you build real automations in n8n, connecting triggers, actions and everyday business tools. You learn to map a business process properly and add the first AI step to the workflow you already have.
Then you change level: Python from scratch, real APIs with authentication, proper data validation and the databases behind your automations.
You return to n8n with an engineering eye: human-in-the-loop approvals, tool calling and a workflow that grounds its answers in your own documents. You then build a real AI agent with memory and guardrails in a code-first framework. With the Agent2Agent protocol you hand off to other agents, and with FastAPI you make your agent available as a secured web service.
You define which tools an agent is allowed to call and the format it has to answer in. You then learn what problem the Model Context Protocol solves and how it is secured. You build your own MCP servers and clients twice, first inside a no-code workflow and then from scratch in Python with the official SDK. The module closes with the foundations of retrieval-augmented generation, so your agents can work with your own knowledge sources.
You take your systems into production: you decide whether to self-host or use a managed platform, keep test and live apart, and make sure every change is checked automatically and can be rolled back. Containers, CI/CD, secrets and monitoring come with it. So does the responsibility: data protection, AI risk assessment, human approvals and kill switches.
You work hands-on with Microsoft Foundry and Azure: you deploy and manage models, configure endpoints and identity-based access, and build agents natively on the platform. At the end you connect your agents to your own knowledge sources and work with image, speech and text. This module also prepares you for both Microsoft certification exams.
You design, build, deploy and document a complete AI automation solution on your own. Everything from the earlier modules comes together in it, from the first workflow to a secured live system. This is the project you take into interviews.
Every student gets a full Claude seat with Claude and Claude Code enabled for the entire 40-week course, plus Anthropic API credits on selected course modules. You build with the same AI tools professional developers use every day, at no extra cost.
During the course you prepare for and sit two industry-recognized Microsoft certification exams. After the course you can opt into an optional third certification track.
Validates your understanding of AI workload types, generative and agentic AI, and responsible AI principles on Azure, the groundwork every automation engineer builds on. You sit the exam within the course, included at no extra cost.
An associate-level credential covering solution planning, agentic implementation, grounding and retrieval, and secure AI system design in Microsoft Foundry. You prepare for and sit the exam within the course, included at no extra cost.
Validates the Python foundations you will use every day for automation and scripting. You opt into the PCEP certification track at the end of the course, and once enrolled you have three months to redeem and schedule your exam. We cover the cost of the exam for students who opt into this track.
Want to understand the basics first? Read our guide: What is AI Automation Engineering?
1.500 hours of learning completed, numerous hands-on projects undertaken, soft and hard skills acquired in a real-world environment to help kickstart your new career.
EXPECTED JOB POSITIONS
AI Automation Engineer | AI Agent Developer | AI and Process Automation Specialist | Business Process Automation Specialist | Workflow and Integration Engineer | AI Integration Engineer | AI Implementation Specialist | Automation Consultant | Junior AI Solutions Engineer | AI Operations and LLMOps Support
Our instructors are passionate experts and dedicated mentors. They guide you through interactive sessions and hands-on projects, ensuring you master the skills to succeed.
Our career services team gets you job-ready. We help you to come up with your individual career strategy based on your career goals, and connect with hiring partners, with support continuing 12 months after graduation.
At WBS CODING SCHOOL, we stand tall, powered by the immense strength and heritage of WBS TRAINING: a true giant in European professional development for over 40 inspiring years!
Being an integral part of this company, with its vast network spanning over 280 locations and more than 25,000 graduates every year, means we offer more than just a course; we offer a launchpad built on decades of educational excellence and profound market insight. This deep-seated experience allows us to craft learning journeys that are robust, reliable, and focused on success.
Education should be affordable for everyone. Our online courses can be fully funded by the Agentur für Arbeit or JobCenter, so they won’t cost you anything.
Have questions? We can help you determine if you qualify for an educational voucher and assist with your AfA interview preparation.
No prior knowledge is required to join the AI Automation Engineering Course. It is designed for beginners and starts from zero: a basic familiarity with computers and the internet helps, but the curriculum takes you from your first no-code workflow through to building and deploying AI agents in code. Curiosity, logical thinking and commitment are the most important things you bring.
During and after the course you’ll receive support from our experienced instructors, as well as our Career & Community Team, who will be there to assist you throughout your journey. Additionally, we will support you for 12 months after graduation, helping you transition from training to your first job. This includes resume assistance, mock interviews, and networking opportunities.
The terms for the free MacBook Air are straightforward. WBS CODING SCHOOL is committed to supporting the success of our students, and as part of this we provide a free MacBook Air to everyone enrolled in this course.
You receive the base model 13-inch MacBook Air that is current at the time of your enrolment.
The AI Automation Engineering Course can be fully funded for eligible German residents through an educational voucher (Bildungsgutschein). This means you can participate without any financial barriers. Please note that certain criteria apply. For more details, visit our Bildungsgutschein information page here.
Two certifications are included in the AI Automation Engineering Course, and a third one is available as an optional track. During the course you prepare for and sit Microsoft Certified: Azure AI Fundamentals (Exam AI-901) and Microsoft Certified: Azure AI Apps and Agents Developer Associate (Exam AI-103). At the end of the course you can opt into the PCEP Certified Entry-Level Python Programmer track. You also receive your official WBS CODING SCHOOL certificate.
The PCEP exam is taken after the course. You opt into the PCEP certification track at the end of the course, and once you are enrolled you have three months to redeem your voucher and schedule your exam.
PCEP (Certified Entry-Level Python Programmer) certifies basic Python knowledge and skills. It is an internationally recognized entry-level credential and backs up exactly the Python foundations you use every day for automation and scripting.
We cover the cost of the PCEP exam for students who opt into this certification track.
In this AI automation course you will work hands-on with n8n, Python, Microsoft Foundry on Azure, Git, SQL and vector databases, FastAPI, Pydantic, the OpenAI Agents SDK, the Agent2Agent protocol, the Model Context Protocol and its official SDK, and containers and CI/CD. You also use Claude Code as your pair-programmer throughout the course.
Yes, you get access to Claude during the course. Every student receives a Claude seat with Claude and Claude Code for the full duration of the course, so you can use it for research, planning and debugging from day one.
Yes, the AI tool costs are covered. Your Claude seat is covered for the full duration of the course, and you receive API credits for the modules in which you build with AI models.
The course is instructor-led and 100% online, combining live interactive sessions with hands-on labs and projects. There is no internship. Instead, the course ends with a four-week final project in which you plan, build, deploy and present a complete automation system of your own, and that project becomes the centerpiece of your portfolio.
The AI Automation Engineering Course runs for 40 weeks because building automation systems properly takes longer than connecting tools. The first module alone runs for 11 weeks and takes you from your first no-code automation through Python, APIs and databases. You then spend 25 weeks on agent backends, the Model Context Protocol, retrieval-augmented generation, deployment and governance, and a cloud AI platform specialization with two certification exams, before a four-week final project.
As an AI Automation Engineer in Germany you can expect roughly 48.000€ to 58.000€ per year at entry level, 58.000€ to 75.000€ at mid level and 75.000€ to 90.000€ at senior level, according to Glassdoor. Salaries vary by region, company size and how deep your engineering skills go, which is why this course covers both the no-code and the code-first layer.
The AI Automation Engineering Course is for career changers and for professionals who already work with SaaS tools and want to build the systems underneath them. It suits people moving into a technical role from the ground up, operations, admin, customer service, sales, marketing, HR and finance professionals who want to automate the processes they know from practice, business analysts and process or project managers who want to move from describing processes to building them, IT support and system administration staff moving into automation and integration, no-code practitioners adding software engineering and production deployment, and junior developers specializing in AI agents and cloud AI platforms. No prior programming experience is required.
The difference is depth and length. The AI Agents & Automations Course runs for 12 weeks and teaches you to build automations and agents using AI tools. The AI Automation Engineering Course runs for 40 weeks and teaches you to build the systems those tools run on: the code behind the workflow, the services the agents call, the databases, the deployment and the governance, plus two Microsoft certifications. If you want to be working quickly, choose the shorter course. If you want an engineering role, choose this one.
The minimum language level required for admission is B2 (Upper-Intermediate) according to the CEFR in the language of instruction. You don’t need to provide an official language certificate. What’s important is that you feel comfortable following technical lessons, understanding written instructions and documentation, communicating clearly, and working on projects. We may assess your language skills during the admissions process to make sure you’re ready to succeed. Admission is conditional on demonstrating the required level.
Every automation engineer starts with the first logical step: this is yours! Take the first step toward automation engineering expertise by filling out the form, and our team will help you get started right away.
Apply now by filling out this simple form and start your journey toward an exciting new opportunity.
By applying I accept the Privacy Policy and the Terms and Conditions
