Course information

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

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.

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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

Why choose us

Our Dunfermline venue

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

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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.

Dunfermline is a town located in Fife, Scotland, about three miles away from the north shore of the Firth of Forth. It was the capital of Scotland until the 17th Century. Dunfermline has a population of around 50,000 people making it the tenth largest town in Scotland. Dunfermline is a business hub for west Fife, providing vast amounts of employment from the likes of BSKYB, Amazon, Best Western and Nationwide. There are four secondary schools and fourteen primary schools in Dunfermline. There is also a private school and a school for children who have learning disabilities. Fife College is the one institute in Dunfermline which provides further education. It was founded in 1899 and merged with a textile school in 1910 and became a technical college in 1951. It caters to around 10,000 students a year.

Nearby Locations include:

  • Oakley
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  • Cairneyhill
  • Newmills
  • Halbeath
  • Townhill
  • Torryburn
  • High Valleyfield
  • Kingseat
  • Blairhall
  • Carnock

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Address

Dunfermline

T: 01344203999

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Azure Training | Designing And Implementing An Azure AI Solution in Dunfermline. 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 Azure Training | Designing And Implementing An Azure AI Solution in Dunfermline, 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 Azure Training | Designing And Implementing An Azure AI Solution in Dunfermline. 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 Azure Training | Designing And Implementing An Azure AI Solution in Dunfermline sessions.

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

Microsoft Azure AI refers to a set of Artificial Intelligence (AI) services and tools offered by Microsoft Azure, a cloud computing platform. These services enable developers to build, deploy, and manage AI-powered applications and solutions on the Azure cloud.
The prerequisites for taking the Designing And Implementing A Microsoft Azure AI Solution AI-102 Certification Course typically include a basic understanding of Azure services, proficiency in programming languages like Python or C#, and familiarity with machine learning concepts and techniques.
This course is suitable for AI Engineers, Data Scientists, Developers, and IT professionals who want to learn how to design and implement AI solutions using Microsoft Azure AI services.
The Designing And Implementing A Microsoft Azure AI Solution AI-102 Training includes comprehensive training sessions, hands-on labs, course materials, and guidance from experienced instructors.
The duration of the Designing And Implementing A Microsoft Azure AI Solution AI-102 Certification Course is 4 days.
To prepare for the AI-102 exam, review Microsoft’s official study guide, focus on key Azure AI concepts, complete hands-on labs, take practice exams, and utilise online learning platforms to reinforce your understanding.
To find AI-102 training near you, simply search for the course on The Knowledge Academy website, where you can browse available options by location and format.
Yes, AI-102 courses are available in Dunfermline, and The Knowledge Academy offers this certification, providing comprehensive training on designing and implementing Microsoft Azure AI solutions.
Yes, the AI-102 certification holds relevance in industries such as healthcare, finance, retail, manufacturing, and cybersecurity, where AI-powered solutions are increasingly being adopted to drive innovation and efficiency.
Yes, individuals with non-technical backgrounds can benefit from this certification as it provides them with the skills and knowledge required to work with AI technologies and contribute to AI projects within their organisations.
Upon completing the Designing And Implementing A Microsoft Azure AI Solution AI-102 Certification Course, individuals can pursue roles such as AI Engineer, Data Scientist, Machine Learning Engineer, AI Solution Architect, and AI Consultant.
This course aligns with broader trends in AI adoption and digital transformation by equipping professionals with the skills and knowledge needed to leverage AI technologies to solve complex business challenges and drive innovation in various industries.
The Knowledge Academy 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 Designing and Implementing a Microsoft Azure AI Solution AI102 Courses.
The training fees for Designing And Implementing an Azure AI Solution AI-102 Coursein Dunfermline starts from £2495
The Knowledge Academy is the Leading global training provider for Designing And Implementing an Azure AI Solution AI-102 Course.
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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

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