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AI-102: Designing and Implementing a Microsoft Azure AI Solution
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Course
AI-102: Designing and Implementing a Microsoft Azure AI Solution
This course is designed to teach software developers how to create AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework to build computer vision, language analysis, knowledge mining, intelligent search and conversational AI solutions on Azure.
Benefit from instructor-led preparation for the AI-102 certification exam with tips, tricks, guidance, and mentored support.
Online Live Classes
Intermediate Level
Mentor Support
This course is part of a program:
It is not possible to enroll for individual courses on this program. If you wish to take this course, please enroll for the full program.
This course will prepare you for the AI-102 Microsoft Azure AI Engineer certification exam. Entry for the exam is not included, however you will gain the skills and knowledge you need to pass successfully.
This course is a culmination of the Azure AI Engineer Associate program. You will learn to plan and manage an Azure Cognitive Services solution. Plus you will implement Computer Vision solutions, natural language processing solutions, knowledge mining solutions, and conversational AI solutions.
Overall, this course will prepare you for taking the AI-102 Designing and Implementing a Microsoft Azure AI Solution certification exam. Entry for the exam is not included. In addition, you will get a more detailed overview of the Microsoft certification process. Plus, you will get tips and tricks, testing strategies, useful resources, and information on how to sign up for the AI-102 proctored exam.
This course comprises 31 purposely designed modules that take you on a carefully defined learning journey.
It is an instructor-led course which runs to a fixed schedule, with set start and finish dates. It is driven forward by your instructor and features live sessions that are aired at a set time. You will, however, have time to complete certain activities at your own pace outside of the live sessions.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include reading material, hands-on labs, and online exams questions.
As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues.
Once you have successfully completed the course, you will earn your Certificate of Completion.
You will be able to:
- Plan and manage an Azure AI solutions
- Implement image and video processing solutions
- Implement natural language processing solutions
- Implement knowledge mining solutions
- Implement conversational AI solutions
- IT professionals seeking to build on their expertise in designing and implementing AI solutions running on Microsoft Azure.
- Individuals looking to prepare for Microsoft AI-102 certification exam.
- Knowledge of Microsoft Azure and ability to navigate the Azure portal
- Knowledge of either C# or Python
- Familiarity with JSON and REST programming semantics
Course Outline
Introduction
Grading Scheme
Pre-Requisite
Exam and Certification Details
About this module
Define artificial intelligence
Understand AI-related terms
Understand considerations for AI Engineers
Understand considerations for responsible AI
Understand capabilities of Azure Machine Learning
Understand capabilities of Azure AI Services
Understand capabilities of the Azure Bot Service
Understand capabilities of Azure Cognitive Search
Knowledge Check
null
Provision an Azure AI Services resource
Identify endpoints and keys
Use a REST API
Use an SDK
Knowledge Check
null
Consider authentication
Implement network security
Knowledge Check
null
Monitor cost
Create alerts
View metrics
Manage diagnostic logging
Use Speech Synthesis Markup Language
Knowledge Check
null
Understand containers
Use Azure AI Services containers
Knowledge Check
null
Provision an Azure AI Vision resource
Analyze an image
Generate a smart-cropped thumbnail
Knowledge Check
null
Provision Azure resources for Azure AI Custom Vision
Understand image classification
Train an image classifier
Knowledge Check
null
Identify options for face detection analysis and identification
Understand considerations for face analysis
Detect faces with the Azure AI Vision service
Understand capabilities of the face service
Compare and match detected faces
Implement facial recognition
Knowledge Check
null
Explore Azure AI Vision options for reading text
Use the Read API
Knowledge Check
null
Understand Azure Video Indexer capabilities
Extract custom insights
Use Video Analyzer widgets and APIs
Knowledge Check
null
Provision an Azure AI Language resource
Detect language
Extract key phrases
Analyze sentiment
Extract entities
Extract linked entities
Knowledge Check
null
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
Create a question answering bot
Knowledge Check
null
Build an Azure AI Language Understanding model
Define intents, utterances, and entities
Use patterns to differentiate similar utterances
Use pre-built entity components
Train, test, publish, and review an Azure AI Language Understanding model
Knowledge Check
null
Understand types of classification projects
Understand how to build text classification projects
Knowledge Check
null
Understand custom named entity recognition
Label your data
Train and evaluate your model
Knowledge Check
null
Provision an Azure AI Translator resource
Understand language detection, translation, and transliteration
Specify translation options
Define custom translations
Knowledge Check
null
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
Knowledge Check
null
Provision an Azure resource for speech translation
Translate speech to text
Synthesize translations
Knowledge Check
null
Manage capacity
Understand search components
Understand the indexing process
Search an index
Apply filtering and sorting
Enhance the index
Knowledge Check
null
Create a custom skill
Add a custom skill to a skillset
Knowledge Check
null
Define projections
Define a knowledge store
Knowledge Check
null
Understand AI Document Intelligence
Plan Azure AI Document Intelligence resources
Choose a model type
Knowledge Check
null
Understand prebuilt models
Use the General Document, Read, and Layout models
Use financial, ID, and tax models
Knowledge Check
null
What is Azure Document Intelligence?
Get started with Azure Document Intelligence
Understand prebuilt models
Train custom models
Use Azure Document Intelligence models
Use the Azure Document Intelligence Studio
Knowledge Check
null
Access Azure OpenAI Service
Use Azure OpenAI Studio
Explore types of generative AI models
Deploy generative AI models
Use prompts to get completions from models
Test models in Azure OpenAI Studio's playgrounds
Knowledge Check
null
Integrate Azure OpenAI into your app
Use Azure OpenAI REST API
Use Azure OpenAI SDK
Knowledge Check
null
Understand object detection
Train an object detector
Consider options for labeling images
Knowledge Check
null
Identify options for face detection analysis and identification
Understand considerations for face analysis
Detect faces with the Azure AI Vision service
Understand capabilities of the face service
Compare and match detected faces
Implement facial recognition
Knowledge Check
null
Explore Azure AI Vision options for reading text
Use the Read API
Knowledge Check
null
Explore Azure AI Vision options for reading text
Use the Read API
Knowledge Check
null
Plan a responsible generative AI solution
Identify potential harms
Measure potential harms
Mitigate potential harms
Operate a responsible generative AI solution
Knowledge Check
Instructions
Cognitive Services
Analyzing Text
Speech
Language Understanding
QnA Maker
Bots
Computer Vision
Facial Analysis
Reading Text
Knowledge Mining
Practice Set 1
Practice Set 2
null
null
null
Download your certificate
Related Courses
Earn your certificate
Once you have completed this course, you will earn your certificate.
Why Learn with SkillUp Online?
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Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
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Competency building and global certifications employers are actively looking for.
FAQs
Azure AI engineersare responsible for building, managing, and deploying AI solutions that leverage Azure Cognitive Services and Azure Applied AI services.
You will get started by taking the AI-102 course. During this course, you will discover how to build applications that are AI infused. Plus, you will learn to use Azure Cognitive Search, Azure Cognitive Services, and Microsoft Bot Framework.
Once that course is completed, you will then move onto the AI-050 course, where you will explore Azure OpenAI Studio and learn how to deploy and test a base model, as well as how to optimize model performance using prompt engineering.
This program comprises of two courses, AI-050and AI-102. You will be issued a Certificate of Completion from SkillUp Online for each course when you complete this program. You can upload the certificates to your LinkedIn profile and add them to your resume.
Yes, our Microsoft Azure AI Engineer Program is fully online. All you need is a good connection to the internet to access the program materials, classes, and hands-on labs.
As part of SkillUp Onlines instructor-led training with Microsoft Certified Trainers, you will have access to valuable guidance and support through our dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. Plus, you will have the opportunity to discuss problems with your instructor and ask questions.
Yes. Once you have successfully completed this program with us, you will benefit from career guidance sessions that will give you interview practice and advice on how to build your resume and online profile.
Azure AI certification can catapult your career progression to new heights. In addition to providing lucrative compensation, it also offers job stability and cost benefits at the organizational level.
Obtaining a Microsoft Azure AI Engineer certification is a strategic career move for several compelling reasons. First and foremost, it demonstrates your expertise in designing and implementing AI solutions within the Azure ecosystem, which is a highly sought-after skill in today's technology-driven job market.
This certification not only validates your technical proficiency but also showcases your ability to work with Azure Cognitive Services, Azure Cognitive Search, and more, making you a valuable asset to organizations seeking to harness AI for business growth. Furthermore, it opens doors to lucrative job opportunities and career advancement, as AI continues to transform industries and shape the future of technology.
Type of certificate
Certificate of completion
About this course
31 Modules
14 Skills
Includes
Discussion space
10 Labs
31 Knowledge checks
02 Practice exam
03 Projects
Create
Speech-enabled apps
Language Understanding app
Question answering solution
Bot
Azure Cognitive Search solution
Exercises to explore
Azure Cognitive Services
Translator service
Speech service
Bot Framework SDK
Bot Framework Composer
Analyze images with Computer Vision
Video Analyzer
Classify images with custom vision
Form Recognizer
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