Udemy - AI-300 - MLOps and GenAIOps Engineer Exam Preparation

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size724.2 MB
  • Uploaded Byfreecoursewb
  • Downloads40
  • Last checkedAug. 08th '26
  • Date uploadedAug. 07th '26
  • Seeders 3
  • Leechers2

Infohash : BDFE2788CA2512FF3F120A6F9A8AABEAC1CD00A4

AI-300: MLOps & GenAIOps Engineer Exam Preparation

https://WebToolTip.com

Published 7/2026
Created by Aseem Mankotia
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Expert | Genre: eLearning | Language: English | Duration: 11 Lectures ( 3h 27m ) | Size: 724.2 MB

Master Azure Machine Learning and Microsoft Foundry operations for the AI-300 certification exam

What you'll learn
⚡ Deploy Azure Machine Learning workspaces and compute with Bicep IaC and GitHub Actions
⚡ Register, version, and deploy MLflow models to managed online and batch endpoints with safe rollout and rollback
⚡ Build GenAIOps on Microsoft Foundry: foundation-model deployment, prompt version control, and groundedness/safety evaluation
⚡ Optimize production GenAI: RAG retrieval tuning, fine-tuning, observability, and token/cost monitoring

Requirements
❗ Python experience, basic Git and CLI usage, and familiarity with Azure ML and ML fundamentals - this is an advanced course

Files:

[ WebToolTip.com ] Udemy - AI-300 - MLOps and GenAIOps Engineer Exam Preparation
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here !
    • 1. MLOps Infrastructure Workspaces, Compute, and IaC.mp4 (42.4 MB)
    • 1. Practice Test 1 Full-Length Exam Simulation.html (203.3 KB)
    • 10. RAG Optimization and Fine-Tuning for Production GenAI.mp4 (77.3 MB)
    • 11. Full AI-300 Exam Simulation and Test-Taking Strategy.mp4 (74.1 MB)
    • 2. Azure ML Assets Data, Environments, Components, Registries.mp4 (45.6 MB)
    • 2. Practice Test 2 Full-Length Exam Simulation.html (244.8 KB)
    • 3. Model Training Orchestration MLflow, AutoML, and Pipelines.mp4 (70.5 MB)
    • 4. Model Registration, Versioning, and Responsible AI.mp4 (47.9 MB)
    • 5. Model Deployment Real-Time, Batch, and Progressive Rollout.mp4 (61.5 MB)
    • 6. Monitoring and Data Drift in Production ML.mp4 (56.0 MB)
    • 7. GenAIOps Infrastructure Foundry Environments and Foundation Models.mp4 (115.6 MB)
    • 8. Prompt Engineering and Version Control for GenAI.mp4 (95.0 MB)
    • 9. GenAI Evaluation, Observability, and Cost Optimization.mp4 (37.8 MB)
    • Bonus Resources.txt (0.1 KB)
      • images
      • img_118324042.js (203.6 KB)

Code:

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