VELOCITY: AI‑Assisted Deployment and Agent Automation

About This Course

This 2-day course (VELOCITY Phase 2) equips tech leads, backend developers, integration engineers, DevOps and automation teams with the practical skills to design, implement, package, deploy and troubleshoot AI-assisted multi-agent automation workflows. Participants learn what AI-assisted deployment and multi-agent systems are, how agentic automation differs from traditional scripted automation, and how to design agent architectures with defined roles, policies, adapters, memory strategies (context window, persistence, replay) and communication channels such as email, Microsoft Teams or Slack.
Working on a single course project — a reporting system in which a Supervisor agent coordinates an NLP Agent, a DB Agent, a Reporting Agent and an Email Agent behind a Streamlit UI — participants use an AI coding assistant to produce an architecture spec, scaffold a LangGraph skeleton, containerise the stack with Docker Compose, deploy it to a cloud VM and run, monitor and troubleshoot a full request end to end. The course is tool-agnostic and can be adapted to different AI coding assistants, stacks and cloud environments. It closes with a hands-on project lab and the assessments on Day 2.