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AI Integration & Platform Optimization in Advanced Fabric

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AI Integration & Platform Optimization in Advanced Fabric

Ce cours fait partie de Spécialisation "The Definitive Guide to Microsoft Fabric"

Instructeur : Packt - Course Instructors

Inclus avec

6 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Avancées

Expérience recommandée

7 heures à compléter

Planning flexible

Apprenez à votre propre rythme

6 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Avancées

Expérience recommandée

7 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

Integrate AI and machine learning to optimize Microsoft Fabric for better data management.
Apply architectural techniques and collaborative workflows for efficient platform operation.
Administer and secure Microsoft Fabric environments while optimizing operational costs.

Compétences que vous acquerrez

Catégorie : AI Integrations
Catégorie : Machine Learning
Catégorie : Data Infrastructure
Catégorie : Data Analysis
Catégorie : Capacity Management
Catégorie : Data Governance
Catégorie : Systems Architecture
Catégorie : Information Systems Security
Catégorie : Data Security
Catégorie : Database Architecture and Administration
Catégorie : Cloud Security
Catégorie : Computing Platforms
Catégorie : Data Presentation
Catégorie : Data Management
Catégorie : Data Architecture
Catégorie : Software Architecture
Catégorie : AI Enablement

Outils que vous découvrirez

Catégorie : Collaborative Software
Catégorie : Microsoft Azure
Catégorie : Role-Based Access Control (RBAC)

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Récemment mis à jour !

mai 2026

Évaluations

6 devoirs

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Ce cours fait partie de la Spécialisation "The Definitive Guide to Microsoft Fabric"

Lorsque vous vous inscrivez à ce cours, vous êtes également inscrit(e) à cette Spécialisation.

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Acquérez une compréhension de base d'un sujet ou d'un outil
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Il y a 6 modules dans ce cours

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.

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.

Inclus

1 vidéo16 lectures1 devoir

1 vidéoTotal 1 minute

Overview1 minute

16 lecturesTotal 99 minutes

Introduction6 minutes
The Impact of AI on Data Platforms5 minutes
Understanding AI Services in Microsoft Fabric11 minutes
Microsoft Fabric and Generative AI6 minutes
Using an LLM in Microsoft Fabric via an External Call8 minutes
Using an SLM in Microsoft Fabric5 minutes
Getting Started with Retrieval Augmented Generation (RAG)7 minutes
Getting Started with Fabric SQL Database5 minutes
Getting Started with User Data Functions (UDFs)4 minutes
Microsoft Fabric and Data Agents5 minutes
Creating Your First Data Agent10 minutes
MCP Support for Real-Time Intelligence (RTI)5 minutes
Creating Your Machine Learning Experiences6 minutes
Training Machine Learning Models7 minutes
Getting Started with AutoML in Microsoft Fabric4 minutes
Implementation Example5 minutes

1 devoirTotal 16 minutes

AI Capabilities in Microsoft Fabric16 minutes

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.

Inclus

1 vidéo9 lectures1 devoir

1 vidéoTotal 1 minute

Overview1 minute

9 lecturesTotal 54 minutes

Introduction6 minutes
Source Code Control6 minutes
Dataflow Gen25 minutes
Environments and Branch Management6 minutes
Deployment5 minutes
Settings and Deployment Rules5 minutes
Sharing Your Analyses and Collaborating with Others7 minutes
What Do We Share?8 minutes
Other Ways to Collaborate6 minutes

1 devoirTotal 16 minutes

Teamwork and Collaboration in Data Projects16 minutes

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.

Inclus

1 vidéo8 lectures1 devoir

1 vidéoTotal 1 minute

Overview1 minute

8 lecturesTotal 47 minutes

Introduction4 minutes
The Concept of Architecture Around Microsoft Fabric6 minutes
The Data Hub Around OneLake4 minutes
Microsoft Fabric and the Data Mesh6 minutes
Introduction to Microsoft Fabric Extensibility Toolkit6 minutes
The Partner Community6 minutes
What Are TPC and TPC-H 3.0.1?6 minutes
Data Generation with TPCH and dbgen9 minutes

1 devoirTotal 16 minutes

Data Architecture and Governance Fundamentals16 minutes

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.

Inclus

1 vidéo12 lectures1 devoir

1 vidéoTotal 1 minute

Overview1 minute

12 lecturesTotal 67 minutes

Introduction4 minutes
Authentication4 minutes
Inbound Network Security11 minutes
Multi-layer Security4 minutes
OneLake5 minutes
Capacity6 minutes
Workspace6 minutes
Security by Workload6 minutes
GraphQL4 minutes
Sharing and Permission Management5 minutes
Monitoring6 minutes
Responsible Use of Copilot AI6 minutes

1 devoirTotal 16 minutes

Securing Data in Modern Platforms16 minutes

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.

Inclus

1 vidéo4 lectures1 devoir

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.

Inclus

1 vidéo10 lectures1 devoir

1 vidéoTotal 1 minute

Overview1 minute

10 lecturesTotal 54 minutes

Introduction6 minutes
Understanding the Fabric Business Model5 minutes
What Is Smoothing?4 minutes
What Is Throttling?5 minutes
Understanding the Scalability of a Fabric Capacity6 minutes
Autoscale Billing for Spark in Microsoft Fabric4 minutes
The Fabric Capacity Metrics Application6 minutes
The Fabric Chargeback Reporting Application6 minutes
Administrator Profile7 minutes
Microsoft Fabric SKU Estimator5 minutes

1 devoirTotal 16 minutes

Mastering Platform Cost Efficiency16 minutes

Obtenez un certificat professionnel

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Instructeur

Packt - Course Instructors

Packt

1 857 Cours514 430 apprenants

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Packt

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Foire Aux Questions

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.