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Smart Agents for Microsoft Fabric - Copilot and AI Skill Course Overview

Smart Agents for Microsoft Fabric - Copilot and AI Skill Course Overview

Unlock the potential of AI-driven solutions with our Smart Agents for Microsoft Fabric - Copilot and AI Skill course. This comprehensive training equips you with essential skills to effectively utilize Microsoft Fabric's Copilot features. You'll learn to design and implement smart agents that enhance user experiences and automate processes.

Key learning objectives include understanding the architecture of smart agents, developing AI models, and integrating them into real-world applications. By the end of this course, you’ll be able to create intelligent solutions that boost productivity and decision-making. Join us to transform your knowledge into practical skills that empower your career in AI technology and automation.

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650

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Course Fee 650
Total Fees
650 (USD)
  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request
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  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Classroom Training fee on request
Koeing Learning Stack

Koenig Learning Stack

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 Smart Agents for Microsoft Fabric - Copilot and AI Skill

Smart Agents for Microsoft Fabric - Copilot and AI Skill equips professionals with essential skills to leverage AI tools and enhance productivity within Microsoft Fabric environments.


  • Data Analysts
  • Business Intelligence Developers
  • AI/ML Engineers
  • Software Developers
  • IT Administrators
  • Data Scientists
  • Project Managers
  • Digital Transformation Leaders
  • Product Managers
  • Technical Support Specialists
  • System Architects
  • DevOps Engineers
  • UX/UI Designers
  • Compliance Officers
  • Training and Development Managers
  • Business Strategists


Learning Objectives - What you will Learn in this Smart Agents for Microsoft Fabric - Copilot and AI Skill?

Introduction

The Smart Agents for Microsoft Fabric - Copilot and AI Skill course equips students with the essential skills to leverage AI-driven smart agents effectively. Participants will explore the capabilities of Microsoft Fabric and enhance their AI proficiency.

Learning Objectives and Outcomes

  • Understand the key concepts of Microsoft Fabric and its applications in AI.
  • Explore the architecture and components of smart agents in Microsoft Fabric.
  • Develop skills to create and manage AI agents using Microsoft Fabric.
  • Gain insights into integrating Copilot functionality within smart agents.
  • Learn best practices for optimizing smart agents for various use cases.
  • Analyze data effectively to enhance the performance of AI solutions.
  • Implement security and compliance measures in smart agent development.
  • Measure and evaluate the success metrics of AI initiatives.
  • Collaborate on team projects to design and deploy smart agents.
  • Foster a mindset for continuous learning and adaptation in AI evolution.

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