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: Modern AI/MLOps trends, EU AI Act implications for engineering teams, responsible AI deployment, and risk assessment frameworks for enterprise applications.

Local LLM Infrastructure & Hosting Strategies: Architectural decisions for local vs. cloud deployment, hardware considerations, user interfaces, and cost optimization strategies for LLM operations.

Advanced Knowledge Retrieval Systems: Evolution of RAG, Cache-Augmented Generation (CAG) patterns, vector databases, BYOLLM and Fine Tuning, and performance optimization techniques.

Model Context Protocol (MCP) Implementation: MCP architecture deep dive, server and client development patterns, custom tool integration and enterprise system connectivity.

AI-Enhanced Infrastructure Automation: Infrastructure as Code with AI assistance, Terraform AI, Pulumi AI, intelligent monitoring and observability, predictive scaling, and cost optimization through AI analytics.

AI Security & Compliance Operations: AI system vulnerabilities and mitigations, prompt injection defenses, Mondoo security scanning integration, and privacy-preserving techniques.

Autonomous Workflow Automation & AI Agents: Agentic AI architecture patterns, visual automation tools, multi-agent coordination, and business process integration.

Production AI Systems & Future Trends: CI/CD pipeline optimization, intelligent testing frameworks, edge AI deployment, multi-cloud orchestration, and emerging technology roadmap.

Hands-On Labs: Comprehensive practical exercises including complete local LLM setup, custom MCP server development, AI-enhanced infrastructure management, security assessment implementation, visual workflow automation, and end-to-end AI engineering pipeline deployment.

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

Bicycle
Get a free quote now

Fill out this form and click the „Submit“ button and we will send you a quote for
this course! No obligations, no commitment.

Learn more about
AI Coding Essentials
Discover how to leverage AI tools to enhance coding efficiency, automate repetitive tasks, and unlock innovative development workflows in this hands-on session.
Discover more

Coming Soon
Beginner

EU NIS2 Guidelines

Gain in-depth knowledge of the EU NIS2 guidelines in this one-day workshop, covering key provisions, compliance requirements, and …

Details & booking
COMING SOON
Beginner

GitHub Essentials

This two-day course introduces Git and GitHub, teaching you how to track changes, collaborate on code, manage releases, and …

Details & booking
Beginner

AI Essentials for Engineers

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

Details & booking