Automic Automation: Configuring Automation.AI

As AI revolutionizes IT operations, Automic Automation v26 further develops Automation.AI, the robust, LLM-agnostic engine designed to bring intelligent scheduling, code assistance, and advanced troubleshooting directly into your automated workflows. But powerful AI requires a secure, stable, and highly controlled foundation.

Designed specifically for Automic Administrators and Infrastructure Engineers, this course takes you step-by-step through the backend deployment of the Automation.AI component. You will learn the end-to-end process of installing the infrastructure, configuring its dedicated PostgreSQL database, and securely integrating Large Language Models (LLMs) like OpenAI or Gemini.

We dive deep into the mechanics of the Model Context Protocol (MCP), teaching you how to act as the bridge between Automic's REST APIs and the AI brain. You will leave this course with the practical skills needed to enforce password encryption, deploy TLS/SSL certificates, and manage granular provider permissions—ensuring your organization's AI integrations are as secure as they are powerful.

Certification

Upon completion, you will receive:

• A certificate validating the course completion
• The Automation.AI Badge

Value: 500 points

At the end of this course you will be able to:

• Explain the Automation.AI architecture and the role of the Model Context Protocol (MCP).
• Install and configure the Automation.AI engine and its dedicated PostgreSQL database.
• Encrypt sensitive credentials within the application.properties configuration file.
• Secure AI communications by deploying TLS/SSL certificates for the Automation.AI Server.
• Manage, restrict, and secure third-party MCP servers and APIs using advanced authentication methods.