Unit 1: Introduction to Azure (basics, infrastructure, computing, networking)

Unit 2: Data, Storage, and Safety (storage services, data migration, authentication)

Unit 3: Governance and Cost Management (project management, Azure Arc, compliance)

Unit 1: Getting Started with Azure AI (AI concepts, machine learning, supervised & unsupervised learning)

Unit 2: Azure and Computer Vision (facial recognition, character recognition)

Unit 3: Azure and Natural Language Processing (NLP, conversational understanding, AI speech)

Unit 4: Azure and Generative AI (OpenAI services, AI ethics)

Unit 5: Azure and Document Intelligence (cognitive search, query design)

Unit 1: Foundational Data Concepts (data types, roles, databases)

Unit 2: Relational & Non-Relational Data (Azure Cosmos DB, cloud services)

Unit 3: Data Analytics in Azure (large-scale, real-time analytics, visualization)

Unit 1: Getting Started with Power BI (data preparation, troubleshooting, modeling)

Unit 2: Visualizing Data (report design, filters, dashboards)

Unit 3: Managing Workspaces (row-level security, semantic models)

Unit 1: Machine Learning (training solutions, model deployment, Azure ML)

Unit 2: Optimizing & Deploying Models (training scripts, hyperparameters, pipelines)

Unit 3: Responsible AI (deploying models, ensuring data availability)

Unit 1: Introduction to Microsoft Fabric (end-to-end analytics, Delta Lake, Apache Spark)

Unit 2: Data Science & ML (data preprocessing, MLflow models)

Unit 3: Data Analytics with Databricks (Delta Lake, data pipelines, workload deployment)

Unit 4: Administration & Governance (administering environments, securing data, governance)