Data and AI (Microsoft Fabric)
Published 12/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 46 Lectures ( 10h 14m ) | Size: 4.5 GB
Published 12/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 46 Lectures ( 10h 14m ) | Size: 4.5 GB
Azure OpenAI with Microsoft Fabric, Data Lakehouse, Data Warehouse, OneLake, Apache Spark, MLflow, Synapse ML
What you'll learn
Microsoft Fabric
Data Analytics
AI/ML with Microsoft Fabric
Generative AI (Azure OpenAI) with Microsoft Fabric
Requirements
Programming Experience Required
Description
Are you ready to revolutionize how you manage and analyze data? Welcome to Data and AI (Microsoft Fabric), the ultimate guide to mastering Microsoft’s cutting-edge unified analytics platform. This course is designed to empower data professionals, cloud enthusiasts, and business leaders with the knowledge and skills to harness the full potential of Microsoft Fabric for modern data and AI solutions.Microsoft Fabric is more than just a tool—it’s a transformative platform that integrates all essential data capabilities into a single, cohesive ecosystem. From Data Engineering to Real-Time Analytics, Data Science, Data Factory, Databases, and Data Warehousing, Fabric offers an all-in-one solution for handling complex data workflows and driving impactful insights.At the heart of Microsoft Fabric lies OneLake, a unified storage solution designed to eliminate data silos and streamline collaboration across teams. OneLake ensures seamless data discovery, sharing, and policy enforcement, making it the cornerstone of efficient and secure data management. Whether you’re a data engineer managing ETL pipelines, a data scientist building AI models, or a business analyst generating reports, OneLake simplifies your workflows while enhancing productivity.What You’ll LearnIn this course, we’ll take you through a comprehensive exploration of Microsoft Fabric, equipping you with:An in-depth understanding of the platform: Learn about Fabric’s architecture, its SaaS-based approach, and how it unifies data workflows under one roof.Core tools and functionalities: Discover how to leverage Data Science tools for building and deploying machine learning models.OneLake’s transformative power: Understand how unified storage changes the game for data management, enabling efficient data sharing and robust security measures.Practical, hands-on experience: Follow step-by-step demonstrations and real-world scenarios to apply Microsoft Fabric’s features effectively.Why This Course is For YouWhether you’re just starting your journey in data and AI or are a seasoned professional looking to adopt the latest technologies, this course is tailored to meet your needs. It’s perfect for:Data Engineers: Streamline your workflows and build scalable pipelines with ease.Data Scientists: Unlock powerful tools for developing and deploying AI models.Cloud Enthusiasts: Explore Fabric’s integration with Microsoft’s ecosystem and the cloud-first approach.Business Leaders: Gain insights into how Fabric can drive data-driven decision-making in your organization.Course HighlightsReal-world applications of Microsoft Fabric and its suite of tools.Easy-to-follow demonstrations and hands-on exercises.Practical insights into solving modern enterprise data challenges.Step-by-step guidance on implementing unified data solutions.What You’ll AchieveBy the end of this course, you’ll have a solid grasp of Microsoft Fabric’s capabilities and how to apply them to real-world scenarios. You’ll be ready to integrate this powerful platform into your projects and organizations, unlocking new levels of efficiency, collaboration, and innovation in data and AI.Don’t miss out on the opportunity to stay ahead in the ever-evolving world of technology. Enroll in Data and AI (Microsoft Fabric) today and take the first step toward becoming a leader in the field of unified analytics and data management!
Who this course is for
AI Enthusiasts
Data Scientists
Data Engineers
Software Architects
AI/ML Engineers