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AI-3026: Develop AI Agents on Azure Course Overview

AI-3026: Develop AI Agents on Azure Course Overview

AI-3026: Develop AI Agents in Azure is a comprehensive course designed to empower learners with the skills to create intelligent agents using Microsoft Azure. In this course, you will explore key concepts such as natural language processing, machine learning, and bot development, which are essential for building AI-driven applications.

Learning objectives include mastering the fundamentals of AI agent architecture, integrating Azure services, and implementing advanced features like dialog management and user intent recognition. Through hands-on projects, you will engage in practical applications, enhancing your capability to design and deploy scalable AI solutions in real-world scenarios. This course is ideal for those looking to boost their career in the AI domain.

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650

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Course Fee 650
Total Fees
650 (USD)
  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Includes Official Coursebook
  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request
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Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Classroom Training fee on request
  • Includes Official Coursebook
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 AI-3026: Develop AI Agents in Azure

AI-3026: Develop AI Agents in Azure equips learners with essential skills to design and build intelligent agents using Azure technologies, targeting professionals interested in AI and cloud development.


  • Cloud Engineers
  • AI Developers
  • Data Scientists
  • Software Architects
  • DevOps Engineers
  • Technical Project Managers
  • IT Consultants
  • System Administrators
  • Business Analysts
  • Students pursuing a career in AI and Cloud Technologies


Learning Objectives - What you will Learn in this AI-3026: Develop AI Agents in Azure?

Introduction

The AI-3026: Develop AI Agents in Azure course equips learners with the essential skills to design, build, and deploy intelligent agents using Azure technologies, focusing on practical applications within various business contexts.

Learning Objectives and Outcomes

  • Understand the fundamentals of AI agents and their applications in Azure.
  • Design scalable and effective AI solutions for real-world problems.
  • Develop conversational agents using Azure Bot Services.
  • Implement natural language processing techniques with Azure AI tools.
  • Integrate AI agents with various data sources and platforms.
  • Optimize AI agents for performance and user experience.
  • Evaluate and refine AI agents through testing and feedback mechanisms.
  • Apply security best practices when developing AI solutions in Azure.
  • Stay updated with emerging trends and technologies in AI development.
  • Gain hands-on experience through practical labs and projects.

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