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AI Foundry Lifecycle and Operations

Are your AI models stuck in the "cool demo" phase? Moving from a prototype to a real-world, production-grade business solution requires more than just good prompt engineering. It requires operational excellence. In this comprehensive course, we take you on the complete journey of operationalizing AI. Guided by our visual roadmap, we cover the essential pillars necessary to build, secure, manage, and sustain production AI systems. Whether you are a developer, data scientist, or IT leader, this video will give you the blueprint to unlock real business value from your AI investments. 🚀 What You Will Learn in This Course: We break down the entire AI lifecycle into actionable steps: Deploy & Debug: How to turn flows into endpoints and validate them with batch testing. Consume & Integrate: Connecting your models to apps using Python and integrating with Microsoft Copilot Studio. Monitor & Manage: 24/7 oversight of metrics (token usage, latency) and controlling costs. Secure & Govern: Implementing Responsible AI standards and using Azure Content Safety guardrails. Sustain & Resilient: Troubleshooting common failures and ensuring business continuity with cross-region deployment. Don't just build models—master the lifecycle. Start watching now to transform your AI skills! ⏱️ Timestamps: 0:00 Introduction: The AI Lifecycle Journey [INSERT TIME] Part 1: Deployment & Debugging Prompt Flows [INSERT TIME] Part 2: Consuming Endpoints & Copilot Integration [INSERT TIME] Part 3: Monitoring & Managing Costs (24/7) [INSERT TIME] Part 4: Security, Governance & Responsible AI [INSERT TIME] Part 5: Troubleshooting & Disaster Recovery [INSERT TIME] Summary & Key Takeaways 🔗 Resources & Links: Learn more about Azure AI Foundry: [INSERT LINK] Microsoft Copilot Studio Documentation: [INSERT LINK] Responsible AI Standards: [INSERT LINK] 📢 Subscribe for more practical AI engineering guides and tutorials! #AIFoundry #MLOps #LLMOps #ArtificialIntelligence #MicrosoftAzure #ResponsibleAI #Copilot #AIengineering