Artificial Intelligence Training Journey
In cooperation with
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
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-3016: Develop Copilots with Azure AI Studio (1
day)
Find full course outline
here
Generative Artificial Intelligence (AI) is becoming more
accessible through easy-to-use platforms like Azure AI
Studio. Learn how to build generative AI applications like
custom copilots that use language models and prompt flow to
provide value to your users.
+ Exam Preparation and Q&A Session (1 day)
+ AI-3016 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:
+ 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:
+ 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:
+ 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
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 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
- 2.1 Introduction to the Principles of Effective Prompting
- 2.2 Giving Directions
- 2.3 Formatting Responses
-
Module 3: Introduction to AI Tools and Models
- 3.1 Understanding AI Tools and Models
- 3.2 Deep Dive into ChatGPT
- 3.3 Exploring GPT-4
-
Module 4: Mastering Prompt Engineering
Techniques
- 4.1 Zero-Shot Prompting
- 4.2 Few-Shot Prompting
- 4.3 Chain-of-Thought Prompting
-
Module 5: Mastering Image Model Techniques
- 5.1 ntroduction to Image Models
- 5.2 Understanding Image Generation
- 5.3 Style Modifiers and Quality Boosters in Image Generation
-
Module 6: Project-Based Learning Session
- 6.1 Introduction to Project-Based Learning in AI
- 6.2 Selecting a Project Theme
- 6.3 Project Planning and Design in AI
-
Module 7: Ethical Considerations and Future of
AI
- 7.1 Introduction to AI Ethics
- 7.2 Bias and Fairness in AI Models
- 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
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
Course: AI Awareness Big Room Training with Q&A (1 or 2
days)
Topics:
Panel Discussion with 2 KPMG ITS Experts:
Delivery formats:
Online instructor-led
Self-paced
Course: AICN-110: GenAI 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)
+ AICN-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
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.