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Learn how to optimize model training in Azure Machine Learning by using scripts, jobs, components and pipelines.

Modules in this learning path:

• Run Training Script Command Job Azure Machine Learning
• Train Models Training Mlflow Jobs
• Perform Hyperparameter Tuning Azure Machine Learning Pipelines
• Run Pipelines Azure Machine Learning

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 157 minutes

Optimize performance with Spark and Delta Live Tables in Azure Databricks.

Units in this learning path:

• Introduction
• Use Serverless Compute and Parallelism with Delta Live Tables
• Perform Cost Based Optimization and Query Performance
• Use Change Data Capture
• Use Enhanced Autoscaling
• Implement Observability and Data Quality Metrics
• Exercise
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Engineer

Level: Intermediate

Duration: 74 minutes

Optimize query and operation performance in Azure Cosmos DB for NoSQL

Modules in this learning path:

• Choose Indexes Azure Cosmos Db SQL API
• Measure Index Azure Cosmos Db SQL API
• Implement Integrated Cache

Products: Azure Cosmos Db

Roles: Developer

Level: Intermediate

Subjects: Databases

Duration: 114 minutes

Learn how to optimize query performance and reduce costs for Azure Cosmos DB for NoSQL workloads by configuring indexes and selecting consistency levels.

Units in this learning path:

• Introduction
• Understand Indexes Cosmos Db
• Configure Range Composite Indexes
• Tune Vector Indexes Embeddings
• Reduce Ru Costs Strategic Indexing
• Choose Consistency Levels Performance
• Exercise Optimize Query Performance
• Knowledge Check
• Summary

Products: Azure Cosmos Db

Roles: Developer

Level: Intermediate

Subjects: Databases, Artificial Intelligence

Duration: 96 minutes

Optimize query performance in Azure SQL

Modules in this learning path:

• Explore Query Performance Optimization
• Explore Performance Based Design
• Evaluate Performance Improvements

Products: Azure SQL Database, SQL Server

Roles: Data Analyst, Data Engineer, Database Administrator, Developer

Level: Intermediate

Subjects: Databases

Duration: 236 minutes

This module introduces you to provisioned deployments in Azure AI Foundry.

Units in this learning path:

• Introduction
• Azure AI Foundry Overview
• Understand Azure AI Foundry Deployment Models
• Estimate Request Deploy Provisioned Throughput Units
• Choose Purchase Azure AI Foundry Provisioned Reservation
• Manage Monitor Provisioned Reservations
• Knowledge Check
• Summary

Products: Azure

Roles: Administrator, Developer, AI Engineer, AI Edge Engineer, Solution Architect

Level: Intermediate

Duration: 56 minutes

Azure Database for PostgreSQL uses vacuum and autovacuum to remove rows that have been marked as soft-deleted after an update or deletion.

Units in this learning path:

• Introduction
• Explain Purpose Vacuum Autovacuum
• Configure Autovacuum Server Parameters
• Exercise Configure Autovacuum Server Parameters
• Knowledge Check
• Summary

Products: Azure Database Postgresql

Roles: Database Administrator

Level: Intermediate

Subjects: Databases

Duration: 24 minutes

Tune pgvector configuration, select vector indexes, design efficient data layouts, and scale Azure Database for PostgreSQL for high-performance AI workloads.

Units in this learning path:

• Introduction
• Tune Postgresql Pgvector
• Choose Configure Vector Indexes
• Optimize Data Layout
• Scale High Volume Workloads
• Connection Optimization
• Exercise Optimize Vector Search
• Knowledge Check
• Summary

Products: Azure Database Postgresql

Roles: Developer

Level: Intermediate

Subjects: Databases, Artificial Intelligence

Duration: 111 minutes

Learn how to optimize your business process with the process advisor capability in Microsoft Power Automate.

Units in this learning path:

• 1 Introduction
• 2 Get Familiar
• 3 Create Recording
• 4 Edit Recordings Group Actions
• 5 Analyze Recordings Interpret Results
• 6 Automation Recommendations
• 7 Check
• 8 Summary

Products: Power Platform, Power Automate

Roles: Maker, Business User

Level: Beginner

Subjects: Process Workflow

Duration: 26 minutes

Optimizing Costs for Microsoft Workloads on AWS teaches Developers, Solutions Architects, IT managers, and DevOps Engineers how to determine the right cost optimization techniques and tools to achieve lower costs and better performance for…

In this course, you will explore two techniques to improve the performance of a foundation model (FM): Retrieval Augmented Generation (RAG) and fine-tuning. You will learn about Amazon Web Services (AWS) services that help store embeddings with…

Learn how to build, run, and tune tightly coupled HPC applications in Azure.

Units in this learning path:

• 1 Introduction
• 2 Selecting the Right Hpc Sku
• 3 Knowledge Selecting the Right Hpc Sku
• 4 Process Pinning Considerations
• 5 Exercise Find Correct Numa Mapping for Hpc Sku
• 6 Compilers and Numerical Libraries
• 7 Knowledge Selecting the Right Compiler and Numerical Libraries
• 8 Selecting the Right Mpi Library
• 9 Knowledge Selecting the Right Mpi Library
• 10 Summary

Products: Azure

Roles: Solution Architect, Developer, Student

Level: Intermediate

Subjects: Virtual Machine, Infrastructure

Duration: 44 minutes