AI Essentials for Engineers

AI Essentials for Engineers

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

Beginner
Artificial Intelligence
2 days

What you will learn in 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:

Hands-On Labs

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:

  • Interactive lectures
  • Hands-on labs with guided exercises
  • Real-world use case discussions
  • Group activities and Q&A sessions

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

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