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Microsoft Cloud Workshop: Azure Synapse Analytics and AI Course Overview

Microsoft Cloud Workshop: Azure Synapse Analytics and AI Course Overview

The Microsoft Cloud Workshop: Azure Synapse Analytics and AI course is an immersive training experience that focuses on building a comprehensive understanding of how to integrate Azure Synapse Analytics with AI capabilities. Participants engage in a collaborative whiteboard design session to review a customer case study, design a proof of concept solution, and present their solution, which emphasizes practical problem-solving and architectural designs.

In the hands-on lab, learners dive into the Azure Synapse Analytics workspace, managing and populating SQL Pool tables, and exploring various data formats using Serverless SQL capabilities. The lab also covers Synapse Pipelines, Cognitive Search integration, Implementing security, Applying machine learning techniques, and Monitoring resources. This synapse training course is an excellent resource for anyone looking to enhance their azure synapse analytics training and gain practical experience with Azure's analytics and AI tools.

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  • Live Training (Duration : 8 Hours)
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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

Request More Information

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Target Audience for Microsoft Cloud Workshop: Azure Synapse Analytics and AI

The Microsoft Cloud Workshop: Azure Synapse Analytics and AI course is aimed at professionals seeking advanced analytics and AI skills using Azure.


  • Data Scientists and Data Engineers
  • Analytics Consultants
  • BI Professionals and Data Analysts
  • Database Administrators and Architects
  • IT Professionals with a focus on data solutions
  • Cloud Solution Architects
  • AI Engineers
  • DevOps Engineers with an interest in data pipelines and analytics platforms
  • Technical Team Leads managing data-driven projects
  • Business Intelligence Developers
  • Technical Project Managers involved in analytics projects


Learning Objectives - What you will Learn in this Microsoft Cloud Workshop: Azure Synapse Analytics and AI?

Introduction to Learning Outcomes and Concepts Covered:

Gain practical skills in Azure Synapse Analytics and AI through a comprehensive workshop, focusing on designing solutions and hands-on experience with data integration, machine learning, and security in Azure.

Learning Objectives and Outcomes:

  • Understand the customer case study to identify business requirements and challenges for implementing Azure Synapse Analytics and AI solutions.
  • Design a proof of concept (PoC) solution that leverages Azure Synapse Analytics to address the specific needs presented in the case study.
  • Develop presentation skills to effectively communicate the designed solution to stakeholders.
  • Access and navigate the Azure Synapse Analytics workspace to familiarize with the environment.
  • Create and manage databases, tables, and processes to populate SQL pools with data for analytics.
  • Explore and analyze raw data formats like parquet and text using Azure Synapse SQL Serverless capabilities.
  • Implement Synapse Pipelines to automate data movement and integration tasks.
  • Utilize Azure Cognitive Search to enhance data discoverability and insights through AI-enriched search capabilities.
  • Apply security best practices within Azure Synapse Analytics to protect data and manage access controls.
  • Integrate machine learning models into the analytics pipeline, leveraging Azure Synapse for advanced analytics.
  • Monitor and optimize Azure Synapse Analytics resources to ensure efficient and cost-effective operation of the analytics environment.

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