Professional MCP Agent Engineering in DevOps Environments

1 days
PROMPC - Version:1
Description
AI is rapidly becoming a core capability for DevOps and IT teams, extending far beyond chat-based assistants. Modern AI systems can analyze logs, assist in CI/CD pipelines, validate infrastructure, and support incident response, when they are properly engineered and grounded in real operational context. This workshop provides a practical and structured introduction to Machine Learning concepts, Prompt Engineering, Context Engineering, and agent-based architectures using MCP. You will gain hands-on experience designing and operating MCP agents and MCP servers, working with local Large Language Models (LLMs), and applying AI to real-world DevOps and IT use cases.
Intended audience
• DevOps Engineers • IT Engineers • Platform Engineers • Site Reliability Engineers (SREs) • Automation and Infrastructure Engineers • Technical Leads responsible for operational tooling
▼Expand All
  • Introduction to Machine Learning for Engineers
  • Prompt Engineering
  • Context Engineering
  • MCP Agents
  • MCP Servers
  • Working with Local LLMs

  • Applied DevOps Use Cases
    • - Log analysis
    • - Incident summarization
    • - Infrastructure validation
    • - CI/CD assistance
  • At the end of the workshop, you will be able to:
  • • Understand core Machine Learning and LLM concepts relevant to DevOps and IT
  • • Apply Prompt Engineering techniques for operational and engineering tasks
  • • Apply Context Engineering to reduce hallucinations and improve accuracy
  • • Design and operate MCP agents for real-world automation scenarios
  • • Understand MCP server architecture and tool exposure
  • • Work with local LLMs for secure and cost-controlled environments
  • • Apply MCP-based AI agents to CI/CD, log analysis, incident response, and infrastructure validation
Contact Us
03-6176666
03-6176677 info@sela.co.il

SEND