Azure Training | Designing And Implementing An Azure AI Solution in Saskatoon

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Designing And Implementing an Azure AI Solution AI-102 Course

Saskatoon

Designing And Implementing an Azure AI Solution AI-102 Course in Saskatoon prepares learners as Microsoft Certified Azure AI Engineers. This course covers natural language processing, conversational AI, and AI practices, it enables them to design, build, and deploy intelligent apps with Azure AI services.

Know about the principles and best practices for designing AI solutions
Learn Designing And Implementing A Microsoft Azure AI Solutions with our course
Understand the importance of data preparation in AI model development

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Designing And Implementing an Azure AI Solution AI-102 Course Overview

Course syllabus

Who it’s for

What’s included

FAQs

Designing and implementing a Microsoft Azure AI Solution AI-102 Course Outline

Module 1: Plan and Prepare to Develop AI Solutions on Azure

Introduction
What is AI
Azure AI Services
Azure AI Foundry
Developer Tools and SDKs
Responsible AI
Explore the Azure AI Foundry Portal

Module 2: Choose and Deploy Models from the Model Catalogue in Azure AI Foundry Portal

Introduction
Explore the Model Catalogue
Deploy a Model to an Endpoint
Optimize Model Performance
Exercise - Explore, Deploy, and Chat with Language Models

Module 3: Develop an AI App with the Azure AI Foundry SDK

Introduction
What is the Azure AI Foundry SDK
Work with Project Connections
Create a Chat Client
Exercise - Create a Generative AI Chat App

Module 4: Get Started with Prompt Flow to Develop Language Model Apps in the Azure AI Foundry

Introduction
Understand the Development Lifecycle of a Large Language Model (LLM) App
Understand Core Components and Explore Flow Types
Explore Connections and Runtimes
Explore Variants and Monitoring Options
Exercise - Get Started with Prompt Flow

Module 5: Develop a RAG-Based Solution with Your Own Data Using Azure AI Foundry

Introduction
Understand How to Ground Your Language Model
Make Your Data Searchable
Create a RAG-Based Client Application
Implement RAG in a Prompt Flow
Exercise - Create a Generative AI App That Uses Your Own Data

Module 6: Fine-Tune a Language Model with Azure AI Foundry

Introduction
Understand When to Fine-Tune a Language Model
Prepare Your Data to Fine-Tune a Chat Completion Model
Explore Fine-Tuning Language Models in Azure AI Foundry Portal
Exercise - Fine-Tune a Language Model

Module 7: Implement a Responsible Generative AI Solution in Azure AI Foundry

Introduction
Plan a Responsible Generative AI Solution
Map Potential Harms
Measure Potential Harms
Mitigate Potential Harms
Manage a Responsible Generative AI Solution
Exercise - Apply Content Filters to Prevent Output of Harmful Content

Module 8: Evaluate Generative AI Performance in Azure AI Foundry Portal

Introduction
Assess Model Performance
Manually Evaluate Performance of a Model
Automated Evaluations
Exercise - Evaluate Generative AI Model Performance

Module 9: AI agent development on Azure

Introduction
What are AI agents?
Options for agent development
Azure AI Foundry Agent Service
Exercise - Explore AI Agent development

Module 10: Develop an AI Agent with Azure AI Foundry Agent Service

Introduction
What is an AI Agent
How to Use Azure AI Foundry Agent Service
Develop Agents with the Azure AI Foundry Agent Service
Exercise - Build an AI Agent

Module 11: Develop AI Agents with the Azure AI Foundry Extension in Visual Studio Code

Introduction
Get Started with the Azure AI Foundry Extension
Develop AI Agents in Visual Studio Code
Extend AI Agent Capabilities with Tools
Exercise - Build an AI Agent Using the Azure AI Foundry Extension

Module 12: Integrate Custom Tools into Your Agent

Introduction
Why Use Custom Tools
Options for Implementing Custom Tools
How to Integrate Custom Tools
Exercise - Build an Agent with Custom Tools

Module 13: Develop a Multi-Agent Solution with Azure AI Foundry Agent Service

Introduction
Understand Connected Agents
Design a Multi-Agent Solution with Connected Agents
Exercise - Develop a Multi-Agent App with Azure AI Foundry

Module 14: Integrate MCP Tools with Azure AI Agents

Introduction
Understand MCP Tool Discovery
Integrate Agent Tools Using an MCP Server and Client
Use Azure AI Agents with MCP Servers
Exercise - Connect MCP Tools to Azure AI Agents

Module 15: Develop an AI Agent with Microsoft Agent Framework

Introduction
Understand Microsoft Agent Framework AI Agents
Create an Azure AI Agent with Microsoft Agent Framework
Add Tools to Azure AI Agent
Exercise - Develop an Azure AI Agent with the Microsoft Agent Framework SDK

Module 16: Orchestrate a Multi-Agent Solution Using the Microsoft Agent Framework

Introduction
Understand the Microsoft Agent Framework
Understand Agent Orchestration
Use Concurrent Orchestration
Use Sequential Orchestration
Use Group Chat Orchestration
Use Handoff Orchestration
Use Magentic Orchestration
Exercise - Develop a Multi-Agent Solution

Module 17: Discover Azure AI Agents with A2A

Introduction
Define an A2A Agent
Implement an Agent Executor
Host an A2A Server
Connect to Your A2A Agent
Exercise - Connect to Remote Azure AI Agents with the A2A Protocol

Module 18: Analyse Text with Azure AI Language

Provision an Azure AI Language Resource
Detect Language
Extract Key Phrases
Analyse Sentiment
Extract Entities
Extract Linked Entities
Exercise - Analyse Text

Module 19: Create Question Answering Solutions with Azure AI Language

Introduction
Understand Question Answering
Compare Question Answering to Azure AI Language Understanding
Create a Knowledge Base
Implement Multi-Turn Conversation
Test and Publish a Knowledge Base
Use a Knowledge Base
Improve Question Answering Performance
Exercise - Create a Question Answering Solution

Module 20: Build a Conversational Language Understanding Model

Introduction
Understand Prebuilt Capabilities of the Azure AI Language Service
Understand Resources for Building a Conversational Language Understanding Model
Define Intents, Utterances, and Entities
Use Patterns to Differentiate Similar Utterances
Use Prebuilt Entity Components
Train, Test, Publish, and Review a Conversational Language Understanding Model
Exercise - Build an Azure AI Services Conversational Language Understanding Model

Module 21: Create Custom Text Classification Solutions

Introduction
Understand Types of Classification Projects
Understand How to Build Text Classification Projects
Exercise - Classify Text

Module 22: Custom Named Entity Recognition

Introduction
Understand Custom Named Entity Recognition
Label Your Data
Train and Evaluate Your Model
Exercise - Extract Custom Entities

Module 23: Translate Text with Azure AI Translator Service

Introduction
Provision an Azure AI Translator Resource
Understand Language Detection, Translation, and Transliteration
Specify Translation Options
Define Custom Translations
Exercise - Translate Text with the Azure AI Translator Service

Module 24: Create Speech-Enabled Apps with Azure AI Services

Introduction
Provision an Azure Resource for Speech
Use the Azure AI Speech to Text API
Use the Text to Speech API
Configure Audio Format and Voices
Use Speech Synthesis Markup Language
Exercise - Create a Speech-Enabled App

Module 25: Translate Speech with the Azure AI Speech Service

Introduction
Provision an Azure Resource for Speech Translation
Translate Speech to Text
Synthesize Translations
Exercise - Translate Speech

Module 26: Develop an Audio-Enabled Generative AI Application

Introduction
Deploy a Multimodal Model
Develop an Audio-Based Chat App
Exercise - Develop an Audio-Enabled Chat App

Module 27: Develop an Azure AI Voice Live Agent

Introduction
Explore the Azure Voice Live API
Explore the AI Voice Live Client Library for Python
Exercise - Develop an Azure AI Voice Live Agent

Module 28: Analyse Images

Introduction
Provision an Azure AI Vision Resource
Analyse an Image
Exercise - Analyse Images

Module 29: Read Text in Images

Introduction
Explore Azure AI Options for Reading Text
Read Text with Azure AI Vision Image Analysis
Exercise - Read Text in Images

Module 30: Detect, Analyse, and Recognize Faces

Introduction
Plan a Face Detection, Analysis, or Recognition Solution
Detect and Analyse Faces
Verify and Identify Faces
Responsible AI Considerations for Face-Based Solutions
Exercise - Detect and Analyse Faces

Module 31: Classify Images

Introduction
Azure AI Custom Vision
Train an Image Classification Model
Create an Image Classification Client Application
Exercise - Classify Images

Module 32: Detect Objects in Images

Introduction
Use Azure AI Custom Vision for Object Detection
Train an Object Detector
Develop an Object Detection Client Application
Exercise - Detect Objects in Images

Module 33: Analyse Video

Introduction
Understand Azure Video Indexer Capabilities
Extract Custom Insights
Use Video Analyzer Widgets and APIs
Exercise - Analyse Video

Module 34: Develop a Vision-Enabled Generative AI Application

Introduction
Deploy a Multimodal Model
Develop a Vision-Based Chat App
Exercise - Develop a Vision-Enabled Chat App

Module 35: Generate Images with AI

Introduction
What are Image-Generation Models
Explore Image-Generation Models in Azure AI Foundry Portal
Create a Client Application That Uses an Image Generation Model
Exercise - Generate Images with AI

Module 36: Create a Multimodal Analysis Solution with Azure AI Content Understanding

Introduction
What is Azure AI Content Understanding
Create a Content Understanding Analyzer
Use the Content Understanding REST API
Exercise - Extract Information from Multimodal Content

Module 37: Create an Azure AI Content Understanding Client Application

Introduction
Prepare to Use the AI Content Understanding REST API
Create a Content Understanding Analyzer
Analyse Content
Exercise - Develop a Content Understanding Client Application

Module 38: Use Prebuilt Document Intelligence Models

Introduction
Understand Prebuilt Models
Use the General Document, Read, and Layout Models
Use Financial, ID, and Tax Models
Exercise - Analyse a Document Using Azure AI Document Intelligence

Module 39: Extract Data from Forms with Azure Document Intelligence

Introduction
What is Azure Document Intelligence
Get Started with Azure Document Intelligence
Train Custom Models
Use Azure Document Intelligence Models
Use the Azure Document Intelligence Studio
Exercise - Extract Data from Custom Forms

Module 40: Create a Knowledge Mining Solution with Azure AI Search

Introduction
What is Azure AI Search
Extract Data with an Indexer
Enrich Extracted Data with AI Skills
Search an Index
Persist Extracted Information in a Knowledge Store
Exercise - Create a Knowledge Mining Solution

Who should attend this Designing and Implementing a Microsoft Azure AI Solution AI-102 Course?

This Designing and Implementing a Microsoft Azure AI Solution (AI-102) Course aims to equip the delegates with necessary knowledge and skills to use Azure services to create AI solutions. This course can be beneficial for a wide range of professionals, including:

AI Developers
Data Scientists
Cloud Solutions Architects
Azure AI Engineers
Application Developers
Innovation Managers
Technical Team Leads

Prerequisites of the Designing and implementing a Microsoft Azure AI Solution AI-102 Course

For attending the Designing and Implementing a Microsoft Azure AI Solution AI102 Course, delegates should have a basic knowledge of programming languages like Python, C#, or JavaScript, and prior knowledge of Azure AI Services such as Azure Machine Learning, Azure Cognitive Services, and Azure Bot Services. Being familiar with programming semantics like REST and JSON can also be beneficial for delegates.

Designing and Implementing a Microsoft Azure AI Solution AI-102 Course Overview

Designing and Implementing a Microsoft Azure AI Solution AI-102 is essential for creating intelligent applications using cloud-based AI services. With businesses increasingly relying on artificial intelligence to enhance decision-making, automate processes, and personalise customer experiences, expertise in Azure's AI tools becomes critical. This solution enables professionals to design AI-driven applications that meet the growing demands for innovation and efficiency.

This Designing And Implementing A Microsoft Azure AI Solution AI-102 Training Course is particularly suited for AI Engineers, Data Scientists, Cloud Architects, and Software Developers. It also benefits IT professionals involved in AI Model Deployment, Machine Learning, and the development of intelligent solutions within cloud environments. Those seeking to enhance their skills in building scalable, AI-driven applications will find this course highly relevant.

This 4-day Designing And Implementing A Microsoft Azure AI Solution AI-102 Training Course by The Knowledge Academy will provide professionals with practical knowledge of Microsoft Azure’s AI tools. Delegates will learn to implement AI solutions, integrate machine learning models, and deploy cognitive services, empowering them to build innovative applications that meet industry standards.

Course Objectives

To understand Microsoft Azure AI services
To implement machine learning models within AI solutions
To deploy and manage cognitive services in applications
To design intelligent bots and natural language processing solutions
To optimise and scale AI applications using Azure tools
To integrate AI solutions with other Azure services

Upon completion of the course, delegates will have the skills to design and deploy AI solutions effectively using Microsoft Azure, enabling them to drive innovation and efficiency in real-world applications across various industries.

What’s included in this Designing and implementing a Microsoft Azure AI Solution AI-102 Course?

World-Class Training Sessions from Experienced Instructors
Designing and Implementing a Microsoft Azure AI Solution AI-102 Certificate
Digital Delegate Pack

Hands-On Labs: Included as part of our online instructor-led delivery, these labs provide real-world exercises in a simulated environment guided by expert instructors to enhance your practical skills.

Train Your Workforce

Looking for Designing And Implementing an Azure AI Solution AI-102 Course in-house or onsite training in Saskatoon? We specialise in corporate group training and bulk bookings for organisations of all sizes in Saskatoon. Our trainers deliver tailored sessions at your premises, online, or hybrid, with best price guarantee, group discounts and flexible scheduling to train your team.

Our Saskatoon venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Saskatoon, a city in the Canadian province of Saskatchewan, has an average population of roughly 222,190 spread across 65.9 square miles of land. At The Knowledge Academy, we offer 50,000 classroom based training courses throughout the different areas of Saskatoon, in order to enhance people’s learning in an array of subject areas. Education in Canada is generally funded by federal, provincial, and local governments; the system is divided into primary, secondary and post-secondary education and is operated under provincial jurisdiction. On the whole, there are 190 days in a school year, starting in September and ending towards the last Friday of June. Some popular and highly regarded universities in Canada include: the University of Toronto (notable alumni including: William Lyon Mackenzie King, Vincent Massey, Donald Sutherland and Lesra Martin), the University of British Columbia (notable alumni including: Eddie Peng, Justin Trudeau and Nardwuar the Human Serviette), and the University of Alberta (notable alumni including: Dayo Wong, George Stanley and Beverley McLachlin).

Ways to take Designing And Implementing an Azure AI Solution AI-102 Course in Saskatoon

Online Instructor-Led Learning

Online Self-Paced Learning

Onsite Learning

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Designing And Implementing an Azure AI Solution AI-102 Course. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Live classes

Join a scheduled class with a live instructor and other delegates.

Interactive

Engage in activities, and communicate with your trainer and peers.

Global Pool of the Best Trainers

We handpick from a global pool of expert trainers for our Online Instructor-led courses.

Expertise

With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.

Scalable Training Delivery

Access Designing And Implementing an Azure AI Solution AI-102 Course in Saskatoon delivered by one of the largest training providers, with scalable instructor-led classes, accessible worldwide.

Master Designing And Implementing an Azure AI Solution AI-102 Course with a flexible yet structured approach that combines live, expert-led sessions and self-paced study. With Weekly one-to-one tutor support and consistently high pass rates, you’ll receive tailored guidance and achieve real results.

Structured Yet Flexible Learning

Take part in scheduled, instructor-led sessions with real-time feedback, while enjoying the freedom to study independently. Interactive resources and progress tracking tools help you stay motivated and on target.

Engaging & Interactive Training

Join dynamic live sessions featuring discussions, practical activities, and peer collaboration. Learn from Designing And Implementing an Azure AI Solution AI-102 Course industry experts and reinforce your knowledge with self-paced modules—plus, connect with professionals in your field.

Expert-Led Course

Gain valuable insight from experienced trainers during live sessions, and revisit course materials anytime to deepen your understanding. This method offers the ideal balance between expert guidance and independent learning.

Global Training Accessibility

Access top-quality training across time zones—anytime, anywhere. Whether at home or on the go, our expert-led sessions and flexible study materials support your goals, and help you on the journey towards the certification.

Learn Designing And Implementing an Azure AI Solution AI-102 Course through The Knowledge Academy’s Online Self-Paced Learning. This flexible and structured format supports your training goals and enables every professional to build skills with confidence.

Flexible Learning

Access Designing And Implementing an Azure AI Solution AI-102 Course resources 24/7 to maintain steady progress, complete regular assessments or tasks, and upskill effectively alongside work commitments.

Expert-Developed Content

Our Online Course content is designed by experienced trainers to ensure accuracy, relevance, and practical value.

Global Training Provider

Access Designing And Implementing an Azure AI Solution AI-102 Course in Saskatoon from a trusted global training provider delivering consistent learning to professionals worldwide.

Cost-Effective Training

Benefit from the cost-effective Designing And Implementing an Azure AI Solution AI-102 Course that delivers high-quality course content without compromising learning outcomes.

Interactive LMS

Track performance, download resources, and receive AI-enabled support through The Knowledge Academy’s dedicated Learning Management System.

Designing And Implementing an Azure AI Solution AI-102 Course Schedule in Saskatoon

Online Instructor-Led

Online Self-Paced

Classroom

Onsite

Package deals for Designing And Implementing an Azure AI Solution AI-102 Course in Saskatoon

Our training experts have compiled a range of course packages on a variety of categories in Designing And Implementing an Azure AI Solution AI-102 Course, to boost your career. The packages consist of the best possible qualifications with Designing And Implementing an Azure AI Solution AI-102 Course, and allows you to purchase multiple courses at a discounted rate.

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Azure Training | Designing And Implementing An Azure AI Solution in Saskatoon FAQs

What is Microsoft Azure AI?

Microsoft Azure AI refers to a suite of artificial intelligence services provided by Microsoft Azure. It enables organisations to build, train, and deploy AI solutions at scale using advanced tools, APIs, and pre-built AI models tailored for various industries.

What are the prerequisites for taking this course?

Before registering for the AI-102 course, learners should have a basic understanding of cloud concepts, programming languages like Python or C#, and experience with Azure services. Familiarity with AI models and principles is advantageous.

Who should attend this course?

This course is ideal for professionals like AI developers, data scientists, and solution architects who wish to enhance their skills in designing AI solutions using Microsoft Azure’s tools and services. Aspiring AI professionals can also benefit significantly.

How can I prepare for the AI-102 exam?

To prepare effectively for the AI-102 exam, learners should review the official Microsoft curriculum, practise hands-on labs in Azure, utilise practice exams, and study key areas such as AI model deployment and management.

How can I find AI-102 training near me?

You can locate AI-102 training by visiting The Knowledge Academy’s website or contacting their support team. They provide in-person and online training options tailored to suit your location and learning needs.

Are there any AI-102 courses available in Saskatoon?

Yes, The Knowledge Academy offers AI-102 training courses across various in Saskatoon. Learners can choose from classroom-based sessions or online options, ensuring accessibility and convenience.

Are there any specific industries or sectors where AI-102 certification holds relevance?

AI-102 certification is highly relevant in industries such as healthcare, finance, retail, manufacturing, and technology. It equips professionals with skills to design AI-driven solutions that address real-world challenges in these sectors.

Can individuals with non-technical backgrounds benefit from the Designing and Implementing of a Microsoft Azure AI Solution AI-102 Certification in terms of career advancement?

Absolutely. While technical knowledge is useful, non-technical professionals can gain foundational skills and insights into AI implementation, enabling career advancement in roles such as AI project managers or strategic consultants.

What are the career opportunities available after completing this course?

Completing the AI-102 course can open doors to roles such as AI Developer, Data Scientist, Machine Learning Engineer, and AI Solution Architect. These roles are in high demand across industries adopting AI-driven transformations.

How does Designing and Implementing a Microsoft Azure AI Solution Course align with broader trends in AI adoption and digital transformation across industries?

This course aligns with the rapid growth in AI adoption, enabling learners to create scalable, efficient AI solutions that support digital transformation efforts in industries like finance, retail, and manufacturing.

How are ChatGPT OpenAI and Azure OpenAI related?

Azure OpenAI integrates OpenAI’s models into Microsoft’s Azure platform, allowing developers to use tools like GPT for advanced natural language processing tasks. This partnership combines OpenAI’s innovation with Azure’s enterprise-grade capabilities.

Is Azure OpenAI faster than OpenAI API?

The performance of Azure OpenAI and OpenAI API depends on specific use cases and infrastructure. Azure OpenAI benefits from Microsoft’s robust cloud ecosystem, potentially offering faster integration and scalability for enterprise applications.

What Azure services are used in the AI-102 exam?

The AI-102 exam focuses on Azure services such as Azure Cognitive Services, Azure Bot Service, Azure Machine Learning, and Azure Data Lake. These tools are essential for designing and implementing AI solutions.

What topics will be covered in the AI-102 course?

The AI-102 course covers topics like AI solution design principles, cognitive services integration, chatbot development, AI model training and deployment, and monitoring AI solutions. These areas provide a comprehensive understanding of Microsoft Azure AI tools.

What is included in Designing and Implementing an Azure AI Solution AI-102 Training?

In this training course, delegates will have intensive training with our experienced instructors, a digital delegate pack consisting of important notes related to this course, and a certificate after course completion.

What is the duration of Designing and Implementing an Azure AI Solution Course?

This course takes 4 days to complete during which delegates participate in intensive learning sessions that cover various course topics.

Why choose The Knowledge Academy in Saskatoon over others?

The Knowledge Academy in Saskatoon stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking this course.

What is the cost/training fees for Designing And Implementing an Azure AI Solution AI-102 Course in Saskatoon?

The training fees for Designing And Implementing an Azure AI Solution AI-102 Course in Saskatoon starts from CAD4995

Which is the best training institute/provider of Designing And Implementing an Azure AI Solution AI-102 Course in Saskatoon?

The Knowledge Academy is one of the Leading global training provider for Designing And Implementing an Azure AI Solution AI-102 Course.

What are the best Microsoft Azure Certification courses in Saskatoon?

Please see our Microsoft Azure Certification courses available in Saskatoon

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