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Elevate your professional expertise with our Artificial Intelligence training and certification sequence. Gain a comprehensive understanding of AI's foundational concepts and harness advanced generative AI technologies to create compelling content. We are offering 3 learning paths, tailored to specific directions in the field of AI, that will prepare you for practical applications using Azure's sophisticated machine learning models. Make an informed choice from our selection and explore the expansive possibilities that AI solutions offer with Microsoft Azure's innovative services. Engage with this transformative technology and position yourself at the forefront of digital innovation.



Artificial Intelligence Architects & Engineers

Program contents



AI-900T00: Microsoft Azure AI Fundamentals

Course: AI-900T00: Microsoft Azure AI Fundamentals (1 day + 1 day Exam Prep)
Find full course outline here.

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 course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). 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.

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.

+ Exam Preparation and Q&A Session (1 day)

+ AI-900 Certification Exam

Delivery formats:
Online instructor-led
Self-paced

Course: AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service (1 day)
Find full course outline here

Azure OpenAI Service provides access to OpenAI's powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. In this course, you'll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications.

Some programming experience is recommended, but the course will be valuable to anyone seeking to understand how the Azure OpenAI service can be used to implement generative AI solutions.

+ Exam Preparation and Q&A Session (1 day)

+ AI-050 Certification Exam

Delivery formats:
Online instructor-led
Self-paced

Course: AI-3002: Create document intelligence solutions with Azure AI Document Intelligence (1 day)
Find full course outline here

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to create and implement Azure AI Document Intelligence solutions.

Candidates for this credential should have a solid understanding of creating and using Document Intelligence models through both Document Intelligence Studio and in code. They should also have experience programming in either Python or C#, be familiar with the Azure portal, and be comfortable provisioning Azure AI resources.

Tasks performed:

  • Create and configure resources
  • Programmatically analyze data in forms
  • Create a template-based custom model
  • Configure model endpoints for document types
  • Extract key value pairs

  • + Exam Preparation and Q&A Session (1 day)

    + AI-3002 Certification Exam

    Delivery formats:
    Online instructor-led
    Self-paced

    Course: AI-3003: Build a natural language processing solution with Azure AI Services (1 day)
    Find full course outline here

    To earn this Microsoft Applied Skills credential, learners demonstrate the ability to create a natural language processing (NLP) solution by using Azure AI Language.

    Candidates for this credential should have a solid understanding of creating and using various Azure NLP models through both Language Studio and in code, including custom models. They should also have experience programming in either Python or C#, be familiar with the Azure portal, and be comfortable provisioning Azure AI resources.

    Tasks performed:

  • Deploy a language resource, and use prebuilt models
  • Create a custom text classification solution
  • Create a custom named entity recognition (NER) solution

  • + Exam Preparation and Q&A Session (1 day)

    + AI-3003 Certification Exam

    Delivery formats:
    Online instructor-led
    Self-paced

    Course: AI-3004: Build an Azure AI Vision solution with Azure AI services (1 day)
    Find full course outline here

    To earn this Microsoft Applied Skills credential, learners demonstrate the ability to build computer vision solutions by using Azure AI Vision.

    Candidates for this credential should have a solid understanding of working with Azure AI Vision models, both prebuilt and custom, through Vision Studio and in code. They should also have experience programming in either Python or C#, be familiar with the Azure portal, and be comfortable provisioning Azure AI resources.

    Tasks performed:

  • Create a computer vision resource
  • Analyze images
  • Create a custom image analysis model
  • Train and evaluate the model
  • Consume a custom model

  • + Exam Preparation and Q&A Session (1 day)

    + AI-3004 Certification Exam

    Delivery formats:
    Online instructor-led
    Self-paced

    Course: AI-102T00: Designing and Implementing a Microsoft Azure AI Solution (4 days + 1 day Exam Prep)
    Find full course outline here

    AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. The course will use C# or Python as the programming language.

    Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure.

    + Exam Preparation and Q&A Session (1 day)

    + AI-102 Certification Exam

    Delivery formats:
    Online instructor-led
    Self-paced

    Artificial Intelligence for Prompt Engineers

    Program contents



    AI-900T00: Microsoft Azure AI Fundamentals

    Course: AI-900T00: Microsoft Azure AI Fundamentals (1 day + 1 day Exam Prep)
    Find full course outline here.

    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 course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). 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.

    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.

    + Exam Preparation and Q&A Session (1 day)

    + AI-900 Certification Exam

    Delivery formats:
    Online instructor-led
    Self-paced

    Course: AI+ Prompt Engineer

    Course Summary
    The AI+ Prompt Engineer certification introduces learners from diverse backgrounds and levels of expertise to the fundamental principles of artificial intelligence and prompts engineering. Covering the history, concepts, and applications of AI, machine learning, deep learning, neural networks, and natural language processing, the certification also delves into best practices for designing effective prompts that harness the capabilities of AI models to their fullest potential. Through a combination of theoretical instruction and practical exercises, including project- based learning sessions, participants acquire the skills needed to create and utilize prompts across various domains and objectives.

    Training Modules
    • Module 1: Foundations of Artificial Intelligence (AI) and Prompt Engineering
      • 1.1 Introduction to Artificial Intelligence
      • 1.2 History of AI
      • 1.3 Machine Learning Basics

    • Module 2: Principles of Effective Prompting
      1. 2.1 Introduction to the Principles of Effective Prompting
      2. 2.2 Giving Directions
      3. 2.3 Formatting Responses

    • Module 3: Introduction to AI Tools and Models
      1. 3.1 Understanding AI Tools and Models
      2. 3.2 Deep Dive into ChatGPT
      3. 3.3 Exploring GPT-4

    • Module 4: Mastering Prompt Engineering Techniques
      1. 4.1 Zero-Shot Prompting
      2. 4.2 Few-Shot Prompting
      3. 4.3 Chain-of-Thought Prompting

    • Module 5: Mastering Image Model Techniques
      1. 5.1 ntroduction to Image Models
      2. 5.2 Understanding Image Generation
      3. 5.3 Style Modifiers and Quality Boosters in Image Generation

    • Module 6: Project-Based Learning Session
      1. 6.1 Introduction to Project-Based Learning in AI
      2. 6.2 Selecting a Project Theme
      3. 6.3 Project Planning and Design in AI

    • Module 7: Ethical Considerations and Future of AI
      1. 7.1 Introduction to AI Ethics
      2. 7.2 Bias and Fairness in AI Models
      3. 7.3 Privacy and Data Security in AI

    + Exam Preparation and Q&A Session (1 day)

    + AI+ Prompt Engineer Certification

    Delivery formats:
    Self-paced

    Course: MS-4005: Craft effective prompts for Microsoft Copilot for Microsoft 365 (1 day)
    Find full course outline here

    Discover ways to craft effective and contextual prompts for Microsoft Copilot for Microsoft 365 that create, simplify, transform, and compile content across Microsoft 365 applications. Learn the importance of providing a clear goal, context, source, and expectation in your prompt for the best results. This course covers real world scenarios and examples using Copilot in Microsoft 365 apps like Word, Excel, PowerPoint, Teams, Outlook, OneNote, and Chat.

    Learners should be familiar working in Microsoft 365 apps like Word, Excel, and PowerPoint. This course is intended for all types of users working with Microsoft Copilot for Microsoft 365.

    + Exam Preparation and Q&A Session (1 day)

    + MS-4005 Certification Exam

    Delivery formats:
    Online instructor-led
    Self-paced

    Microsoft 365 Copilot

    Program contents



    MS-4004: Empower your workforce with Copilot for Microsoft 365 Use Cases

    Course: MS-4004: Empower your workforce with Copilot for Microsoft 365 Use Cases (1 day)
    Find full course outline here.

    This one-day course is composed of two parts - Getting started with Copilot for Microsoft 365 and Empower your workforce with Copilot for Microsoft 365 Use Cases. The first part of the course introduces you to Copilot for Microsoft 365, examines how you can use Copilot throughout the various Microsoft 365 apps, explores best practices for using Copilot and building effective prompts, and examines how you can extend Copilot with plugins and Graph connectors.

    The second part of this training content is really the heart of this course. Students perform a series of hands-on exercises involving seven Use Cases - Executives, Sales, Marketing, Finance, IT, HR, and Operations. These exercises focus on using Copilot in various Microsoft 365 apps (such as Word, PowerPoint, Outlook, and so on) to complete a series of common business-related tasks pertaining to each Use Case. To complete the Use Case exercises in this course, each student must have access to a Microsoft 365 subscription (BYOS) in which they're licensed to use Copilot for Microsoft 365. Each student must also have a Microsoft OneDrive account, since Copilot requires OneDrive to complete the file sharing tasks used throughout the Use Case exercises.

    + Exam Preparation and Q&A Session (1 day)

    + MS-4004 Certification Exam

    Delivery formats:
    Online instructor-led
    Self-paced

    Course: MS-4005: Craft effective prompts for Microsoft Copilot for Microsoft 365 (1 day)
    Find full course outline here

    Discover ways to craft effective and contextual prompts for Microsoft Copilot for Microsoft 365 that create, simplify, transform, and compile content across Microsoft 365 applications. Learn the importance of providing a clear goal, context, source, and expectation in your prompt for the best results. This course covers real world scenarios and examples using Copilot in Microsoft 365 apps like Word, Excel, PowerPoint, Teams, Outlook, OneNote, and Chat.

    Learners should be familiar working in Microsoft 365 apps like Word, Excel, and PowerPoint. This course is intended for all types of users working with Microsoft Copilot for Microsoft 365.

    + Exam Preparation and Q&A Session (1 day)

    + MS-4005 Certification Exam

    Delivery formats:
    Online instructor-led
    Self-paced

    Course: MS-4006: Copilot for Microsoft 365 for Administrators (1 day)
    Find full course outline here

    This course begins by examining the Microsoft Copilot for Microsoft 365 design. Its main focus, however, is on the security and compliance features that administrators must configure in their Microsoft 365 tenant to protect their company's organizational data before they implement Copilot for Microsoft 365.

    This course is designed for administrators, Microsoft 365 administrators, or persons aspiring to the Microsoft 365 Administrator role who have completed at least one of the Microsoft 365 role-based administrator certification paths.

    + Exam Preparation and Q&A Session (1 day)

    + MS-4006 Certification Exam

    Delivery formats:
    Online instructor-led
    Self-paced

    Artificial Intelligence for Business Users

    Program contents



    AI Awareness Big Room Training with Q&A

    AI-001: AI Awareness Big Room Training with Q&A (1/2 day)

    Topics:

  • Large Language Models, explained
  • Benefits & limitations of LLMs
  • Training large language models
  • Understanding and identifying biases, AI Hallucination
  • Guiding principles for ethical AI use
  • Best Practices for writing effective prompts
  • Review real-world examples of AI use cases

  • Panel Discussion with 2 KPMG ITS Experts:
  • How KPMG ITS adopts AI?
  • Security & Compliance in KPMG ITS
  • Delivery formats:
    Online instructor-led
    Self-paced

    Course: GAZ-110: AI Fundamentals for Business Professionals (1 day)

    GenAIBIZ offers business professionals with the ability to describe the fundamentals of AI and generative AI; generate text, code, images, video, and audio using generative AI; identify the challenges of generative AI; and implement organizational strategies for generative AI.

    This exam will certify that the candidate has an understanding of what generative AI is, how it relates to and can benefit business functions, how to identify potential risks, and how to identify the challenges and milestones of implementing generative AI and becoming a generative AI–driven organization.

    The GenAIBIZ assessment is primarily designed for business leaders, consultants, product and project managers, and other decision makers who are interested in growing the business by leveraging the power of generative AI. Other business professionals who wish to explore generative AI solutions are also candidates for this assessment.

    + Exam Preparation and Q&A Session (1 day)

    + GAZ-110 Certification Exam

    Delivery formats:
    Online instructor-led
    Self-paced

    Course:AI-900T00: Microsoft Azure AI Fundamentals (1 day + 1 day Exam Prep)
    Find full course outline here

    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 course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform. 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.

    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.

    + Exam Preparation and Q&A Session (1 day)

    + AI-900 Certification Exam

    Delivery formats:
    Online instructor-led
    Self-paced

    Our Trainers

    Look forward to experienced and competent trainers who love to share their expertise in the Microsoft environment with you.

    Frequently Asked Questions


    Learn more about the program in the FAQ's section.


    Program Details


    At the registration point you can choose from a drop-down menu between calendar dates for training with a trainer or a self-paced learning for some or all of the courses.


    Language

    English

    Delivery Format

    Online Instructor-led

    Time Zone

    CET

    Agile & Consulting Core Competencies

    The Agile & Consulting Core Competencies sequence of modules has been designed to structure and further enrich competencies essential for successful professional collaboration.