May 12
Loading video player...
Application Lifecycle Management (ALM) is essential for deploying agentic AI systems safely, predictably, and at enterprise scale. In this episode, we walk through how to apply ALM practices to agents, connectors, tools, models, and data — including versioning, approvals, promotion pipelines, and rollback strategies. This description is grounded in the content from your YouTube Studio page, which highlights ALM practices, versioning, environment promotion, rollback, and data lineage tracking with Purview . 🎯 What You’ll Learn in Episode 5.3 - How ALM applies to agentic systems, not just traditional apps - Versioning strategies for agents, models, connectors, and tools - How to use managed solutions in Copilot Studio for dev → test → prod promotion - Model registry workflows in Foundry - Rollback strategies when deployments fail - Data lineage tracking and quality gates using Microsoft Purview - How ALM reduces risk, drift, and unexpected production behavior 📘 About This Course This video is part of the Microsoft AB‑100 Agentic AI Exam Prep playlist, designed to help you master the concepts and decision frameworks required to pass the certification. 🔗 Resources Visit our website: https://www.McCulloughAssociates.com AB-100 exam Microsoft AB-100 Agentic AIAI ALM application lifecycle management AI agent versioning model versioning Copilot Studio ALM Foundry model registry AI deployment pipeline dev test prod promotion AI rollback strategy AI governance data lineage Purview AI quality gates agentic AI exam prep enterprise AI lifecycle AI change management AI environment promotion AI connectors and tools