AI/LLM Foundations for DevOps

AI/LLM Foundations for DevOps

Learn AI/LLM basics in one day for DevOps, Cloud-Native, and IT-Security to enhance workflows and security.

1 day

What you will learn in this course

In this entry-level course, participants will gain a foundational understanding of artificial intelligence (AI) and large language models (LLMs). This one-day workshop is tailored specifically for professionals in DevOps, Cloud-Native, and IT-Security. This course will demystify AI/LLM concepts and showcase practical applications within these domains.

Students will learn how AI and LLMs can streamline workflows, enhance security protocols, and drive innovation in their organizations. Through a combination of theoretical knowledge and presenter demonstrations, participants will explore the integration of AI/LLM technologies into existing infrastructures, focusing on real-world use cases such as automated monitoring, threat detection, incident response, and predictive maintenance. By the end of the day, attendees will be equipped with the skills and insights needed to leverage AI/LLM to optimize their daily workloads.


Basics of AI and machine learning

Introduction to large language models

How to run your own AI/LLM (Ollama)

Using the LangChain Framework

Integration into existing systems

Demonstrating DevSecOps use cases


This course is designed for

  • IT security professionals responsible for securing infrastructure and managing security tools
  • Compliance officers responsible for ensuring organizational compliance with industry standards and regulations
  • Auditors conducting security audits who need to understand the current state of security in an organization
  • DevOps engineers focused on combining software development and IT operations


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

  • The key to personal training success is a balanced mix of encouragement and challenges - the motivating motto: really learn instead of just taking part.


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

  • Insightful theory
  • Presenter demonstrations

Technical requirements

We recommend the following equipment:

  • Stable internet connection
  • Modern browser

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