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AI-300 study guide

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Lessons

  1. Create and Manage Components — Free Study Guide 2026
  2. Create and Manage Data Assets — Free Study Guide 2026
  3. Create and Manage Environments — Free Study Guide 2026
  4. Share Assets Across Workspaces with Registri
  5. Deploy Models to Batch Endpoints — Free Study Guide 2026
  6. Deploy Models to Managed Online Endpoints
  7. Test, Troubleshoot, Progressive Rollout, and
  8. Compare Model Performance Across Jobs — Free Study Guide 2026
  9. Manage Distributed Training for Large and De
  10. Implement Training Pipelines — Free Study Guide 2026
  11. Use Automated Machine Learning to Explore Op
  12. Automate Hyperparameter Tuning — Free Study Guide 2026
  13. Configure Experiment Tracking with MLflow
  14. Notebooks, Command Jobs, and Training Script
  15. Monitor, Optimize, and Promote Fine-Tuned Mo
  16. Advanced Fine-Tuning Methods — Free Study Guide 2026
  17. Create and Manage Synthetic Data for Fine-Tu
  18. Serverless API Endpoints and Managed Compute
  19. Select Foundation Models for Specific Use Ca
  20. Model Versioning and Production Deployment S
  21. Provisioned Throughput Units for High-Volume
  22. Deploy Foundry Infrastructure with Bicep and
  23. Managed Identities and RBAC for Foundry
  24. Foundry Network Security and Private Network
  25. Create and Configure Foundry Resources and P
  26. Built-in and Custom Automated Evaluation Wor
  27. Test Datasets and Data Mapping for Evaluatio
  28. Groundedness, Relevance, Coherence, and Flue
  29. Risk and Safety Evaluations — Free Study Guide 2026
  30. Continuous Monitoring in Microsoft Foundry
  31. Logging, Distributed Tracing, and Production
  32. Latency, Throughput, Token Use, and Cost Met
  33. Deploy Workspaces and Resources with Bicep a
  34. Automate Resource Provisioning with GitHub A
  35. GitHub Integration and Git Source Control fo
  36. Restrict Network Access to Machine Learning
  37. Candidate Profile, Azure ML v2, Foundry, and
  38. Current Exam Facts — Free Study Guide 2026
  39. Skills Measured, Format, and How This Guide
  40. Detect and Analyze Data Drift — Free Study Guide 2026
  41. Monitor Production Metrics and Trigger Retra
  42. Design and Develop Prompts — Free Study Guide 2026
  43. Version Control for Prompts with Git — Free Study Guide 2026
  44. Create Prompt Variants and Compare Performan
  45. Select and Fine-Tune Embedding Models — Free Study Guide 2026
  46. Hybrid Search: Semantic and Keyword Retrieva
  47. RAG Relevance Metrics and A/B Testing — Free Study Guide 2026
  48. Tune Similarity Thresholds, Chunk Sizes, and
  49. Register MLflow Models and Package Feature R
  50. Manage Model Lifecycle and Archiving — Free Study Guide 2026
  51. Evaluate Models with Responsible AI Principl
  52. Create and Manage Compute Targets — Free Study Guide 2026
  53. Create and Manage Datastores — Free Study Guide 2026
  54. Configure Identity and Access Management for
  55. Create and Manage Azure Machine Learning Wor