AI Essentials for Engineers

Transform your engineering workflows with hands-on AI: Deploy LLMs, automate infrastructure, and master the latest tools and protocols.

Beginner

Artificial Intelligence

2 days

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What you will learn in this course

WHY THIS COURSE IS A GAMECHANGER: Engineers risk inefficient AI use without clear methodology. After this training, you’ll integrate AI responsibly into projects, raising both quality and speed.

ABOUT THIS COURSE: This comprehensive 2-day training equips engineers and DevOps professionals with practical skills for implementing (Generative) AI in modern engineering workflows. This program emphasizes real-world use-cases and deployment of AI systems across infrastructure, security, and operational domains. You will gain hands-on experience with LLM deployment options, advanced retrieval systems, the emerging Model Context Protocol (MCP), and AI-driven automation tools. The course addresses critical enterprise needs including EU AI Act compliance, security frameworks, and scalable deployment patterns. Through extensive labs and guided exercises, you can explore practical applications from infrastructure automation to agentic workflows, preparing you to successfully implement AI-powered solutions in your organization.

Agenda

AI Engineering Landscape & Compliance Framework

Local LLM Infrastructure & Hosting Strategies

Advanced Knowledge Retrieval Systems

Model Context Protocol (MCP) Implementation

AI-Enhanced Infrastructure Automation

AI Security & Compliance Operations

Autonomous Workflow Automation & AI Agents

Production AI Systems & Future Trends

audience

This course is designed for

Software engineers
DevOps professionals
AI/ML practitioners

prerequisites

To get most out of this course, you should have:

Basic programming knowledge (Python recommended)
Familiarity with cloud platforms and version control (Git)

style

Our trainers have years of experience and will deliver the right mix of:

Content based on real scenarios from everyday developer life
Practical exercises in the form of hands-on labs
Official training partners (Mondoo & IBM HashiCorp)
Lifetime access to course materials
Update information even after the workshop
Experts with real project experience

Technical requirements

We recommend the following equipment:

Stable internet connection
Access to AI tools and services (e.g., OpenRouter, Groq, OpenAI API)
Browser compatible with modern web applications
If you're eager to try out demonstrated tools on your own: Pre-installed code editor (e.g., VS Code) with sufficient hardware and a Python installation

Need more than training?

Training is often a first step. Many teams realize they need support beyond the course to make things work in production, speed up the process or bridge short-term bottlenecks..

Explore Consulting Solutions

We can support you beyond training, through hands-on consulting, project collaboration, or as an embedded enablement team, we are helping you apply what you learned, validate decisions, and move forward with confidence.

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