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AI-102 Microsoft Azure AI Solution Complete Exam Prep
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Unleash the Power of AI with AI-102! Dive into the world of Microsoft Azure AI and equip yourself with the knowledge and skills to design and implement cutting-edge AI solutions. Whether you’re a seasoned professional or a newcomer to the AI landscape, this course is your gateway to harnessing the full potential of AI on Azure. Get ready to embark on a journey of innovation and intelligence!

AI-102 Azure Course Highlights

  • Course Duration – 32 Hours
  • Learn from Industry Experts
  • Hands-on Labs
  • Real-World Projects
  • Certification Preparation
  • Practical Learning
  • Access to Azure AI Tools and Services

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AI-102 Azure Course Description

Overview

Welcome to AI-102: Designing and Implementing a Microsoft Azure AI Solution! This immersive course takes you deep into the world of AI on Azure, providing you with the skills and insights needed to design, implement, and optimize AI solutions. Explore the extensive capabilities of Microsoft Azure’s AI services, learn to build custom machine learning models, and discover the art of AI solution integration. Whether you’re an AI enthusiast looking to dive into the cloud or an experienced professional aiming to bolster your skills, this program caters to your aspirations. Delivered by industry experts, this course combines theoretical knowledge with practical experience through hands-on labs and real-world projects, all aimed at preparing you for success in the world of AI and Azure.

Why AI-102: Designing and Implementing a Microsoft Azure AI Solution?
  • Azure AI empowers you to build AI applications at scale.
  • Unlock career opportunities with Microsoft Azure AI certification.
  • Learn from industry experts and gain hands-on experience.
  • Become proficient in designing and implementing AI solutions.
  • Boost your skills and expertise in AI on Azure.

Target Audience

Designed for AI enthusiasts, developers, and professionals seeking to enhance their AI and Azure capabilities. This course is suitable for both beginners and experienced individuals.

Pre-requisites

A basic understanding of AI concepts is recommended but not mandatory.

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AI-102 Azure Course Objectives

  • Gain expertise in designing and implementing AI solutions on Microsoft Azure.
  • Understand the full spectrum of Azure AI services and tools.
  • Create custom machine learning models tailored to your specific needs.
  • Integrate AI solutions seamlessly into your existing applications.
  • Optimize AI models and solutions for maximum performance.
  • Prepare for Microsoft’s AI-102 certification exam.

AI-102 Azure Course Content

Module 1: Introduction to AI on Azure

  • Introduction to Artificial Intelligence
  • Artificial Intelligence in Azure

Module 2: Developing AI Apps with Cognitive Services

  • Getting Started with Cognitive Services
  • Using Cognitive Services for Enterprise Applications
  • Hands-on Lab

Module 3: Getting Started with Natural Language Processing

  • Analyzing Text
  • Translate Text
  • Hands-on Lab

Module 4: Building Speech-Enabled Applications

  • Speech Recognition and Synthesis
  • Speech Translation
  • Hands-on Lab

Module 5: Creating Language Understanding Solutions

  • Creating a Language Understanding App
  • Publishing and Using a Language Understanding App
  • Using Language Understanding with Speech
  • Hands-on Lab

Module 6: Building a QnA Solution

  • Creating a QnA Knowledge Base
  • Publishing and Using a QnA Knowledge Base
  • Hands-on Lab

Module 7: Conversational AI and the Azure Bot Service

  • Bot Basics
  • Implementing a Conversational Bot
  • Hands-on Lab

Module 8: Getting Started with Computer Vision

  • Analyzing Images
  • Analyzing Videos
  • Hands-on Lab

Module 9: Developing Custom Vision Solutions

  • Image Classification
  • Object Detection
  • Hands-on Lab

Module 10: Detecting, Analyzing, and Recognizing Faces

  • Detecting Faces with the Computer Vision Service
  • Using the Face Service
  • Hands-on Lab

Module 11: Reading Text in Images and Documents

  • Reading text with the Computer Vision Service
  • Extracting Information from Forms with the Form Recognizer service
  • Hands-on Lab

Module 12: Creating a Knowledge Mining Solution

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

Need customized curriculum? Talk to Advisor

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AI-102 Azure Course Advisor

Rishabh Kotiyal

Rishabh Kotiyal

10+ Years Of Experience

Cloud Security Consultant & Trainer

10+ years of experience in System Design, Deployment & Cloud Implementations, Development, & Analysis. Adept at designing customized training programs and courseware to meet the needs of students and organizations, to keep courses and skills up to date with current standards, versions of courses (materials and certification exams) and technologies (current and emerging).

Vikas Kumar

19+ Years Of Experience

Corporate Trainer

Vikas Kumar is a Security Expert and Certified Instructor having 19 years’ of experience in training and handling clients from the UK, US, Australia, NZ and UAE among others. He specializes in Cloud Security, Infrastructure Management, Technical Management, and SME Support.

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AI-102 Azure FAQs

1. What is AI 102 certification?
AI-102, titled “Designing and Implementing an Azure AI Solution,” is designed for software developers who aim to create applications enriched with AI capabilities using Azure Cognitive Services, Azure Cognitive Search, and the Microsoft Bot Framework. The course will involve utilizing either C# or Python as the programming language.
2. How many questions are on the AI 102 exam?
The Microsoft Azure AI-102 exam consists of 40-60 questions with various formats, including multiple-choice questions, scenario-based single-answer questions, arrange-in-correct-sequence type questions, mark review, drag & drop questions, and more.
3. What is the structure of the AI 102 exam?

The AI-102 exam on Microsoft Azure includes 40-60 questions of diverse formats, including multiple-choice questions, scenario-based single-answer questions, arrange-in-correct-sequence type questions, mark review, drag & drop questions, and others.

4. What are the 5 components of AI?
AI is a type of technology that uses intelligent systems to perform tasks that typically require human intelligence. AI tech consists of four main components — learning, reasoning and decision making, problem solving, and perceptions.
5. Which knowledge is required in AI?
Success in this field requires proficiency in programming languages such as Python, C#, and R, coupled with hands-on experience in AI-related vendors and applications. Additionally, familiarity with user interface (UI) and user experience (UX) is crucial. These skills are not only easy to acquire but also offer a wide range of applications.
6. What is the passing score for AI-102?

The passing score for the AI-102 exam is subject to variation, but generally, achieving a minimum score of 700 out of 1000 is necessary for passing. It’s important to note that Microsoft may adjust the passing score periodically. Upon successfully passing the AI-102 exam, you will be awarded the Azure AI Engineer Associate certification.

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