Ai-300 : Microsoft Azure Machine Learning Operations (mlops)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.83 GB
Master Azure Machine Learning, End-to-End ML Lifecycle, GenAIOps & Foundry. Pass Exam AI-300 with 2026 Practice Tests
What you'll learn
Master the AI-300 Exam: Gain the specialized skills to pass the Microsoft Certified: Azure Machine Learning Operations (MLOps) Engineer Associate exam.
Architect GenAIOps Workflows: Design and manage the end-to-end lifecycle for Generative AI using Azure AI Foundry, prompt flow, and serverless endpoints.
Automate with Infrastructure as Code: Provision and secure scalable Azure Machine Learning workspaces using Bicep templates, Azure CLI, and Managed Identities.
Implement MLflow Tracking: Master experiment tracking, model registration, and versioning for data and model assets to ensure full auditability and Reproducibil
Deploy High-Availability Models: Execute advanced rollout strategies including Blue-Green deployments, progressive shifts, and safe rollback procedures.
Build CI/CD AI Pipelines: Integrate MLOps into DevOps by automating training and deployment workflows using GitHub Actions and robust "Shift Left" security.
Optimize RAG & Fine-Tuning: Learn advanced embedding strategies, chunking for RAG apps, and cost-effective fine-tuning workflows for foundation models.
Ensure Responsible AI & Compliance: Implement safety evaluations, monitor for data drift, and audit AI systems for fairness, privacy, and regulatory standards.
Requirements
Cloud Fundamentals: A basic understanding of Cloud Computing concepts (equivalent to the AZ-900 or AI-900 level) is highly recommended.
Python Proficiency: Familiarity with Python programming is required, as you will work with SDKs, MLflow, and automated scripts.
Data Science Basics: A foundational grasp of the Machine Learning lifecycle (training, testing, and deployment) will help you move faster through the modules.
Azure Subscription: Access to an Azure Free Account or a Pay-As-You-Go subscription is necessary to follow along with the hands-on labs and Azure AI Foundry exercises.
Tooling: A modern web browser and a computer capable of running Visual Studio Code (VS Code) with the Azure Machine Learning extension.
Growth Mindset: No prior MLOps experience is required! This course is structured in bite-sized micro-lessons to bridge the gap from beginner to advanced professional.
Description
"This course contains the use of artificial intelligence."Become a Microsoft Certified AI-300 Professional: The Only Course Covering MLOps & GenAIOps for 2026.Are you ready to lead the next generation of AI operations? The Microsoft AI-300: Azure Machine Learning Operations (MLOps) Engineer Associate certification is the gold standard for professionals managing the lifecycle of AI models. This course is meticulously designed to take you from foundational infrastructure to advanced GenAIOps using the latest 2026 exam updates.Why This Course is DifferentUnlike theoretical bootcamps, this course uses a Micro-Learning approach with over 200+ bite-sized chapters. Every section follows a "Problem-Solve-Verify" framework:The Problem: Real-world enterprise AI challenges.The Solve: Step-by-step implementation using Azure AI Foundry, MLflow, and GitHub Actions.The Verify: Integrated Quizzes, Role-Play Simulations, and 2 Full-Length Practice Exams. What You Will Master:Infrastructure as Code (IaC): Automate Azure ML workspaces using Bicep and Azure CLI.The ML Lifecycle: Track experiments with MLflow, manage versions, and automate hyperparameter tuning.GenAIOps & Azure AI Foundry: Provision foundation models, manage serverless endpoints, and optimize RAG (Retrieval-Augmented Generation) architectures.Production Deployment: Execute Blue-Green rollouts, progressive deployments, and safe rollbacks.Advanced Observability: Detect data drift, monitor token costs, and implement safety evaluations for harmful content.Automation: Build end-to-end CI/CD pipelines with GitHub Actions for AI workloads. Unique Learning Features:9 Practical Case Studies: From auditing unsecured workspaces to mitigating LLM hallucinations.5 Interactive Role-Play Simulations: Experience "Virtual War Rooms" and lead high-stakes client meetings to develop the soft skills needed for Senior AIOps roles.2026 Exam Ready: Updated content covering Prompt Engineering vs. Prompt Management and Microsoft Foundry foundations.Practice Tests: Includes 2 dedicated exam simulations to ensure you pass the AI-300 on your first attempt. Who is this for?Data Scientists looking to bridge the gap between research and production.DevOps Engineers transitioning into the AI/ML space (AIOps).IT Professionals aiming for the Microsoft Certified: Azure MLOps Engineer Associate credential.Solutions Architects designing scalable Generative AI infrastructures. Prerequisites:Basic familiarity with Azure Cloud (AZ-900 or AI-900 level is a plus).Understanding of Python and Machine Learning concepts.Stop watching and start building. Join thousands of professionals in the most comprehensive AI-300 course on Udemy.Enroll now to secure your career in the AI-driven economy!
Aspiring AIOps & MLOps Engineers: Professionals who want to transition from traditional DevOps or Software Engineering into the specialized world of AI operations.,Data Scientists & ML Researchers: Individuals who are tired of "notebook-only" models and want to master the engineering side of putting models into production.,Cloud & Solution Architects: Technical leaders designing enterprise-grade AI infrastructure using Azure AI Foundry and scalable RAG architectures.,AI-300 Certification Candidates: Students specifically preparing for the Microsoft Certified: Azure Machine Learning Operations Engineer Associate exam who need a structured, granular study path.
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