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Overview

This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.

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What You'll Learn

  • Describe Artificial Intelligence (AI) workloads and considerations
  • Identify features of common AI workloads, including machine learning, knowledge mining, and conversational AI
  • Describe the principles of responsible AI
  • Explore fundamental concepts of machine learning on Azure
  • Identify common types of machine learning and their use cases
  • Describe features of computer vision workloads on Azure
  • Describe features of Natural Language Processing (NLP) workloads on Azure
  • Describe features of generative AI workloads on Azure

Who Should Attend

The Introduction to AI in Azure course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.

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Prerequisites

Familiarity with Azure and the Azure portal.

Learning Journey

Coming Soon...

Module 1: Overview of AI concepts

Curious about artificial intelligence? Want to understand what the buzz is about? This module introduces you to the world of AI.

Module 2: Get started in Microsoft Foundry

In this module you'll learn how Microsoft enables you to build AI with the latest technology, securely, and at scale.

Module 3:  Introduction to machine learning concepts

Machine learning is the basis for most modern artificial intelligence solutions. A familiarity with the core concepts on which machine learning is based is an important foundation for understanding AI.

Module 4: Get started with machine learning in Azure

Learn how to design a model training solution for machine learning projects.

Module 5: Introduction to generative AI and agents

Generative AI powers applications that can create content, answer questions, and assist with tasks. In this module, you'll explore the fundamentals of generative AI, including large language models (LLMs), prompts, and AI agents.

Module 6: Get started with generative AI and agents in Microsoft Foundry

Learn how you can build generative AI applications and agents in Microsoft Foundry. Understand how to use Microsoft Foundry's extensive model marketplace, playgrounds, and evolving features.

Module 7: Introduction to text analysis concepts

Natural language processing (NLP) supports applications that can analyze text to infer semantic meaning.

Module 8: Get started with text analysis in Microsoft Foundry

Explore Azure Language's text analysis features, which include sentiment analysis, key phrase extraction, named entity recognition, and language detection.

Module 9: Introduction to AI speech concepts

Imagine AI apps and agents that you can talk to. Explore the concepts behind AI speech, including speech recognition and synthesis.

Module 10: Get started with speech in Microsoft Foundry

Learn how to recognize and synthesize speech by using Azure Speech in Foundry Tools.

Module 11: Introduction to computer vision concepts

Introduction to computer vision concepts

Module 12: Get started with computer vision in Microsoft Foundry

Azure Vision service enables software engineers to create intelligent solutions that extract information from images; a common task in many artificial intelligence (AI) scenarios.

Module 13: Introduction to AI-powered information extraction concepts

AI information extraction enables you to extract data values from documents, images, and other unstructured data sources.

Module 14: Get started with AI-powered information extraction in Microsoft Foundry

AI gives you the power to unlock insights from your data. In this module, you'll learn how to use Foundry Tools to extract information from content.

Skills Measured

  • Describe Artificial Intelligence workloads and considerations (15-20%)
  • Describe fundamental principles of machine learning on Azure (20-25%)
  • Describe features of computer vision workloads on Azure (15-20%)
  • Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
  • Describe features of generative AI workloads on Azure (15-20%)
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Frequently Asked Questions (FAQs)

  • Why get Microsoft certified?

    Microsoft certifications validate your skills and expertise in Microsoft technologies and solutions, demonstrating your ability to design, implement, and manage cutting-edge technologies.

    These certifications are globally recognized and highly sought after by employers, as they signify your proficiency in using Microsoft products and services to drive innovation and solve business challenges.

    Microsoft-certified professionals are in high demand, opening doors to new career opportunities and higher earning potential.

  • What to expect for the examination?

    Microsoft certification exams are designed to assess your knowledge and skills in specific Microsoft technologies and solutions.

    Exams typically consist of multiple-choice, multiple-select, and case study questions, and some may include lab simulations to evaluate your practical skills.

    Note: Certification requirements and policies may be updated by Microsoft from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is Microsoft certification valid for?

    Most Microsoft role-based and specialty certifications are valid for one year from the date of passing the exam.

    To maintain your certification, you will need to renew it annually by passing a free online assessment on Microsoft Learn.

    However, Microsoft Applied Skills credentials and Fundamentals certifications do not expire.

    Note: Certification requirements and policies may be updated by Microsoft from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 24 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

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Course Curriculum

Course Curriculum

Training Schedule

Training Schedule

Exam & Certification

Exam & Certification

FAQs

Frequently Asked Questions

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