AI Essentials for Engineers
Learn how to integrate AI into engineering workflows with hands-on experience in LLMs, RAG, and AI agents. Covers foundational AI concepts, ethical guidelines, and practical tools like LangChain, OpenAI, Ollama, and LightRAG.
What you will learn in this course
Agenda
Introduction to AI & Generative AI
Overview of the EU AI Act & Ethical Considerations
Understanding Large Language Models (LLMs)
Hands-on: LLM Deployment & Prompt Engineering
Retrieval-Augmented Generation (RAG) Basics
Hands-on: Building a RAG pipeline with LangChain
Advanced RAG: GraphRAG with LightRAG
Hands-on: AI-powered Knowledge Base
Ensuring AI Security & Compliance
Hands-on: Mitigating Prompt Injection Attacks
AI Agents & Autonomous Workflows
Hands-on: AI Agents for Incident Response
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:
- Installed VSCode
- Pre-configured VM with AI tools (Ollama, LangChain, LightRAG)
- Cloud access (AWS, Terraform setup optional)
- Internet connection for API-based demos

Backstage Essentials
We're currently working on a new training for this topic—stay tuned for updates!
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