AI Integration & Platform Optimization in Advanced Fabric

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Overview

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This course delves into the integration of AI and machine learning with Microsoft Fabric, providing a complete toolkit for data professionals looking to enhance their platform management capabilities. You will explore how AI can optimize data workflows, improve processing speed, and automate decision-making across the fabric environment. The course also focuses on advanced architectural considerations, ensuring that learners gain a deep understanding of how to structure and manage a scalable, high-performance platform. As you progress, you will learn how to collaborate efficiently within data teams, leveraging Fabric's collaborative features to improve productivity and streamline workflows. The course goes beyond just data management—covering the vital aspects of securing your data platform, from data encryption to access controls and compliance measures. By mastering these techniques, you will ensure the safety and integrity of the platform’s data. In addition, the course teaches the essential skills for administering Microsoft Fabric environments, including configuration, monitoring, and troubleshooting. Learners will also gain expertise in optimizing platform costs through intelligent resource management and cost-saving strategies, ensuring that scalable operations are both effective and affordable. This course combines theoretical concepts with real-world applications, providing you with hands-on experience in implementing AI-driven solutions and managing a modern data platform. Whether you're working in data engineering, cloud architecture, or platform administration, this course is designed to equip you with the knowledge and skills necessary to lead innovative and sustainable projects in data platform management. This course is part three of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.

Syllabus

Using AI in Fabric

This module explores how artificial intelligence is integrated into Microsoft Fabric, enabling advanced analytics, automation, and machine learning within a unified data platform. Learners will discover how to leverage AI services, interact with large and small language models, utilize data agents, and implement machine learning workflows using tools like AutoML and Apache Spark. Practical examples and step-by-step guides will help you apply these capabilities to real-world data scenarios.

Collaborating as a team

This module explores effective collaboration strategies within Microsoft Fabric, focusing on source code control, environment and branch management, deployment processes, and sharing analytical assets. Learners will gain practical skills for managing teamwork, permissions, and collaborative workflows in enterprise analytics projects.

Architecture

This module explores the foundational architecture of modern data platforms using Microsoft Fabric as a case study. Learners will examine key architectural components, understand data mesh principles, and discover how to benchmark and extend data solutions using industry standards and partner tools.

Securing Your Data Platform

This module explores the essential strategies and tools for securing data within Microsoft Fabric, including authentication, network security, multi-layered controls, and permission management. Learners will gain practical knowledge of how to protect data, manage access, and ensure compliance across various workloads and collaborative environments. The module also addresses responsible use of AI features and monitoring for ongoing data protection.

Administer Fabric

This module explores the essential administrative roles and responsibilities required to effectively manage Microsoft Fabric within an organization. Learners will gain insights into planning for capacity and workspace administration, ensuring secure and efficient operation of the platform. Practical strategies for resource allocation and user management are also covered.

Mastering and Optimizing Platform Costs

This module explores the key drivers of platform costs in Microsoft Fabric, including compute models, billing features, and scalability options. Learners will gain practical skills in monitoring, optimizing, and allocating costs using built-in tools and applications. By the end, you'll be equipped to make informed decisions about resource management and cost control in Fabric environments.