Designing and implementing a Microsoft Azure AI Solution AI102 Overview

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

Module 1: Introduction to AI on Azure

Artificial Intelligence (AI) is increasingly at the core of modern apps and services. In this module, you'll learn about some common AI capabilities that you can leverage in your apps, and how those capabilities are implemented in Microsoft Azure. You'll also learn about some considerations for designing and implementing AI solutions responsibly.

Lessons

  • Introduction to Artificial Intelligence
  • Artificial Intelligence in Azure

After completing this module, students will be able to:

  • Describe considerations for creating AI-enabled applications
  • Identify Azure services for AI application development

Module 2: Developing AI Apps with Cognitive Services

Cognitive Services are the core building blocks for integrating AI capabilities into your apps. In this module, you'll learn how to provision, secure, monitor, and deploy cognitive services.

Lessons

  • Getting Started with Cognitive Services
  • Using Cognitive Services for Enterprise Applications

Lab: Get Started with Cognitive Services
Lab: Manage Cognitive Services Security
Lab: Monitor Cognitive Services
Lab: Use a Cognitive Services Container

After completing this module, students will be able to:

  • Provision and consume cognitive services in Azure
  • Manage cognitive services security
  • Monitor cognitive services
  • Use a cognitive services container

Module 3: Getting Started with Natural Language Processing

Natural Language processing (NLP) is a branch of artificial intelligence that deals with extracting insights from written or spoken language. In this module, you'll learn how to use cognitive services to analyze and translate text.

Lessons

  • Analyzing Text
  • Translating Text

Lab: Translate Text

Lab: Analyze Text

After completing this module, students will be able to:

  • Use the Text Analytics cognitive service to analyze text
  • Use the Translator cognitive service to translate text

Module 4: Building Speech-Enabled Applications

Many modern apps and services accept spoken input and can respond by synthesizing text. In this module, you'll continue your exploration of natural language processing capabilities by learning how to build speech-enabled applications.

Lessons

  • Speech Recognition and Synthesis
  • Speech Translation

Lab: Recognize and Synthesize Speech
Lab: Translate Speech

After completing this module, students will be able to:

  • Use the Speech cognitive service to recognize and synthesize speech
  • Use the Speech cognitive service to translate speech

Module 5: Creating Language Understanding Solutions

To build an application that can intelligently understand and respond to natural language input, you must define and train a model for language understanding. In this module, you'll learn how to use the Language Understanding service to create an app that can identify user intent from natural language input.

Lessons

  • Creating a Language Understanding App
  • Publishing and Using a Language Understanding App
  • Using Language Understanding with Speech

Lab: Create a Language Understanding Client Application
Lab: Create a Language Understanding App
Lab: Use the Speech and Language Understanding Services

After completing this module, students will be able to:

  • Create a Language Understanding app
  • Create a client application for Language Understanding
  • Integrate Language Understanding and Speech

Module 6: Building a QnA Solution

One of the most common kinds of interaction between users and AI software agents is for users to submit questions in natural language, and for the AI agent to respond intelligently with an appropriate answer. In this module, you'll explore how the QnA Maker service enables the development of this kind of solution.

Lessons

  • Creating a QnA Knowledge Base
  • Publishing and Using a QnA Knowledge Base

Lab: Create a QnA Solution

After completing this module, students will be able to:

  • Use QnA Maker to create a knowledge base
  • Use a QnA knowledge base in an app or bot

Module 7: Conversational AI and the Azure Bot Service

Bots are the basis for an increasingly common kind of AI application in which users engage in conversations with AI agents, often as they would with a human agent. In this module, you'll explore the Microsoft Bot Framework and the Azure Bot Service, which together provide a platform for creating and delivering conversational experiences.

Lessons

  • Bot Basics
  • Implementing a Conversational Bot

Lab: Create a Bot with the Bot Framework SDK
Lab: Create a Bot with Bot Framework Composer

After completing this module, students will be able to:

  • Use the Bot Framework SDK to create a bot
  • Use the Bot Framework Composer to create a bot

Module 8: Getting Started with Computer Vision

Computer vision is an area of artificial intelligence in which software applications interpret visual input from images or video. In this module, you'll start your exploration of computer vision by learning how to use cognitive services to analyze images and video.

Lessons

  • Analyzing Images
  • Analyzing Videos

Lab: Analyze Video
Lab: Analyze Images with Computer Vision

After completing this module, students will be able to:

  • Use the Computer Vision service to analyze images
  • Use Video Analyzer to analyze videos

Module 9: Developing Custom Vision Solutions

While there are many scenarios where pre-defined general computer vision capabilities can be useful, sometimes you need to train a custom model with your own visual data. In this module, you'll explore the Custom Vision service, and how to use it to create custom image classification and object detection models.

Lessons

  • Image Classification
  • Object Detection

Lab: Classify Images with Custom Vision
Lab: Detect Objects in Images with Custom Vision

After completing this module, students will be able to:

  • Use the Custom Vision service to implement image classification
  • Use the Custom Vision service to implement object detection

Module 10: Detecting, Analyzing, and Recognizing Faces

Facial detection, analysis, and recognition are common computer vision scenarios. In this module, you'll explore the user of cognitive services to identify human faces.

Lessons

  • Detecting Faces with the Computer Vision Service
  • Using the Face Service

Lab: Detect, Analyze, and Recognize Faces

After completing this module, students will be able to:

  • Detect faces with the Computer Vision service
  • Detect, analyze, and recognize faces with the Face service

Module 11: Reading Text in Images and Documents

Optical character recognition (OCR) is another common computer vision scenario, in which software extracts text from images or documents. In this module, you'll explore cognitive services that can be used to detect and read text in images, documents, and forms.

Lessons

  • Reading text with the Computer Vision Service
  • Extracting Information from Forms with the Form Recognizer service

Lab: Read Text in Images
Lab: Extract Data from Forms

After completing this module, students will be able to:

  • Use the Computer Vision service to read text in images and documents
  • Use the Form Recognizer service to extract data from digital forms

Module 12: Creating a Knowledge Mining Solution

Many AI scenarios involve intelligently searching for information based on user queries. AI-powered knowledge mining is an increasingly important way to build intelligent search solutions that use AI to extract insights from large repositories of digital data and enable users to find and analyze those insights.

Lessons

  • Implementing an Intelligent Search Solution
  • Developing Custom Skills for an Enrichment Pipeline
  • Creating a Knowledge Store

Lab: Create a Custom Skill for Azure Cognitive Search
Lab: Create an Azure Cognitive Search solution
Lab: Create a Knowledge Store with Azure Cognitive Search

After completing this module, students will be able to:

  • Create an intelligent search solution with Azure Cognitive Search
  • Implement a custom skill in an Azure Cognitive Search enrichment pipeline
  • Use Azure Cognitive Search to create a knowledge store

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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

The Designing and Implementing a Microsoft Azure AI Solution AI-102 Training introduces participants to the expansive world of artificial intelligence within the Azure environment. It delves into the complexities of creating and implementing AI solutions, emphasising its relevance in a technological landscape where AI plays a pivotal role in driving innovation and enhancing business processes. As organisations turn to AI for gaining insights and automating tasks, understanding it is imperative.

Professionals aspiring to be at the forefront of AI innovation should aim at mastering Designing and Implementing a Microsoft Azure AI Solution AI-102. The significance of this subject lies in its ability to empower individuals to harness the potential of AI technologies, enabling them to design and implement solutions that drive business growth.

The 4-day Microsoft Azure Certification Course provided by the Knowledge Academy is tailored to equip delegates with the knowledge and skills necessary for designing and implementing effective Azure AI solutions. Covering key aspects such as machine learning, natural language processing, and computer vision, participants will gain hands-on experience through practical exercises. This training ensures that delegates are well-prepared to leverage Azure AI technologies.

Course Objectives

  • To understand the fundamentals of Microsoft Azure AI solutions
  • To explore Azure Cognitive Services for vision, speech, and language processing
  • To master Azure Machine Learning for model training and deployment
  • To dive into Azure Bot Services for building intelligent chatbots
  • To gain expertise in designing AI solutions for scalability and performance
  • To learn best practices for integrating AI solutions into applications
  • To implement ethical considerations and responsible AI practices
  • To acquire hands-on experience through practical exercises and projects

Upon completing this Microsoft Azure Certification Course, delegates will benefit from a deep understanding of designing and implementing Microsoft Azure AI solutions, gaining hands-on expertise that allows them to immediately contribute to real projects. This immersive learning experience provides the confidence and skills needed to harness the full potential of Azure's AI capabilities, ensuring that professionals stay at the forefront of AI development and deployment in the competitive technology landscape.

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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

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Why choose us

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Designing and implementing a Microsoft Azure AI Solution AI102. 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.

Unlock your potential with The Knowledge Academy's Designing and implementing a Microsoft Azure AI Solution AI102, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Experience the most sought-after learning style with The Knowledge Academy's Designing and implementing a Microsoft Azure AI Solution AI102. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Designing and implementing a Microsoft Azure AI Solution AI102 sessions.

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Streamline large-scale training requirements with The Knowledge Academy’s In-house/Onsite Designing and implementing a Microsoft Azure AI Solution AI102 at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Designing and implementing a Microsoft Azure AI Solution AI102 FAQs

Please arrive at the venue at 8:45am.
You should have knowledge of the fundamentals of Azure and understanding of C#.
This course is aimed at Cloud Solution Architects, Azure artificial intelligence designers, and AI developers.
We can provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 4 days.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
The price for Designing and implementing a Microsoft Azure AI Solution AI102 certification in the United Kingdom starts from £2495
The Knowledge Academy is the Leading global training provider for Designing and implementing a Microsoft Azure AI Solution AI102.
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