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Designing & Implementing a Microsoft Azure AI Solution (AI-102T00) Certification Training
With the AI-102T00: Designing and Implementing a Microsoft Azure AI Solution program, you will learn about Azure Cognitive Services, Microsoft Bot Framework, and Azure Cognitive Search. It is an intermediate-level, 4-day certification training program for developers and AI Engine
Designing & Implementing a Microsoft Azure AI Solution (AI-102T00) Cer
4-day intensive training with exam preparation materials, practice tests, Q & A sessions & more
Flexible learning options, including virtual and private group training
Globally recognized certification-focused curriculum by 1,000+ Subject Matter Experts (SMEs)
Course Overview
The intensive AI-102T00: Designing and Implementing a Microsoft Azure AI Solution course will help you deploy cutting-edge AI solutions on the Microsoft Azure platform. Through immersive, hands-on exercises and practical examples, you will master the essential phases of Azure AI development, from planning and managing solutions to implementing them across diverse domains. It includes computer vision, natural language processing, and knowledge mining. You will be empowered to confidently architect, develop, and manage sophisticated AI applications that drive impactful business outcomes upon completion.
With a commitment to your success, Vinsys guarantees a practical learning experience. Whether you are transitioning to AI or enhancing existing skills, the AI-102 program is a crucial step in advancing your expertise. Further, it equips you for the AI-102 exam required for the Microsoft Certified: Azure AI Engineer Associate credential. With this credential in your hand, you can take up roles to propel your career into the age of intelligent innovation. Join Vinsys to unlock the full potential of Azure AI and improve your chances in AI-powered application development.
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Course Objectives
In the AI-102T00: Designing and Implementing a Microsoft Azure AI Solution course, you will learn the in-depth applications of Azure AI, including AI Search and OpenAI. It will help AI or Software engineers develop intelligent, AI-infused applications. Completing this course will assist you in gaining advanced skills in the following:
● Learn to provision and consume Azure AI services, utilizing REST APIs and SDKs.
● Develop AI-infused applications using Azure AI Services and Azure OpenAI.
● Implement secure practices for authentication and network security in Azure AI services.
● Read the text in images/documents with Azure AI Vision, utilizing the Read API.
● Analyze videos with Azure Video Indexer, extracting custom insights.
● Utilize Azure AI-Language for text analysis, including language detection and sentiment analysis.
● Acquire skills to monitor costs, create alerts, and manage diagnostic logging in Azure AI.
● Deploy Azure AI services in containers, learning container concepts and usage.
● Plan Azure AI Document Intelligence solutions using prebuilt models and extracting data from forms.
● Get started with Azure OpenAI Service, integrating it into applications and utilizing generative AI models.
● Apply prompt engineering, generate code and images, and use personal data responsibly in Azure OpenAI.
● Understand the fundamentals of responsible generative AI, identifying and mitigating potential harms.
Audience
● Software engineers specializing in building, managing, and deploying AI solutions on Azure.
● Data scientists and AI engineers seeking to enhance skills in Azure AI Services, AI Search, and Azure OpenAI.
● Individuals aspiring to achieve the Microsoft Azure AI Engineer Associate certification.
Eligibility Criteria
You should start with AI-900T00: Microsoft Azure AI Fundamentals first. Additionally, suggested prerequisites for the course include:
● An understanding of Microsoft Azure and familiarity with Azure portal navigation.
● Knowledge of JSON and REST programming semantics.
● Proficient in C# or Python, with expertise in REST-based APIs for computer vision, language analysis, and intelligent search.
Course Outline
Module 01 - Prepare to develop AI solutions on Azure (11 Units)
● Define artificial intelligence
● Understand AI-related terms
● Understand considerations for AI Engineers
● Understand considerations for responsible AI
● Understand the capabilities of Azure Machine Learning
● Understand the capabilities of Azure AI Services
● Understand the capabilities of the Azure Bot Service
● Understand the capabilities of Azure Cognitive Search
Module 02 - Create and consume Azure AI services (8 Units)
● Provision an Azure AI services resource
● Identify endpoints and keys
● Use a REST API
● Use an SDK
● Exercise - Use Azure AI services
Module 03 - Secure Azure AI services (6 Units)
● Consider authentication
● Implement network security
● Exercise - Manage Azure AI Services Security
Module 04 - Monitor Azure AI services (8 Units)
● Monitor cost
● Create alerts
● View metrics
● Manage diagnostic logging
● Exercise - Monitor Azure AI services
Module 05 - Deploy Azure AI services in containers (6 Units)
● Understand containers
● Use Azure AI services containers
● Exercise - Use a container
Module 06 - Analyze images (7 Units)
● Provision an Azure AI Vision resource
● Analyze an image
● Generate a smart-cropped thumbnail
● Exercise - Analyze images with Azure AI Vision
Module 07 - Classify images (7 Units)
● Provision Azure resources for Azure AI Custom Vision
● Understand image classification
● Train an image classifier
● Exercise - Classify images with Azure AI Custom Vision
Module 08 - Detect, analyze, and recognize faces (10 Units)
● Identify options for face detection analysis and identification
● Understand considerations for face analysis
● Detect faces with the Azure AI Vision service
● Understand the capabilities of the face service
● Compare and match detected faces
● Implement facial recognition
● Exercise - Detect, analyze, and identify faces
Module 09 - Read Text in images and documents with the Azure AI Vision Service (6 Units)
● Explore Azure AI Vision options for reading text
● Use the Read API
● Exercise - Read the text in images
Module 10 - Analyze video (7 Units)
● Understand Azure Video Indexer capabilities
● Extract custom insights
● Use Video Analyzer widgets and APIs
● Exercise - Analyze video
Module 11- Analyze text with Azure AI Language (10 Units)
● Provision an Azure AI-language resource
● Detect language
● Extract key phrases
● Analyze sentiment
● Extract entities
● Extract linked entities
● Exercise - Analyze text
Module 12 - Build a question-answering solution (11 Units)
● 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 13 - Build a conversational language understanding model (10 Units)
● Understand the 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 14 - Create a custom text classification solution (6 Units)
● Understand the types of classification projects
● Understand how to build text classification projects
● Exercise - Classify text
Module 15 - Create a custom-named entity extraction solution (7 Units)
● Understand custom-named entity recognition
● Label your data
● Train and evaluate your model
● Exercise - Extract custom entities
Module 16 - Translate text with Azure AI Translator service (8 Units)
● 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 17 - Create speech-enabled apps with Azure AI services (9 Units)
● 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 18 - Translate speech with the Azure AI Speech service (7 Units)
● Provision an Azure resource for speech translation
● Translate speech to text
● Synthesize translations
● Exercise - Translate speech
Module 19 - Create an Azure AI Search solution (10 Units)
● Manage capacity
● Understand search components
● Understand the indexing process
● Search an index
● Apply filtering and sorting
● Enhance the index
● Exercise - Create a search solution
Module 20 - Create a custom skill for Azure AI Search (6 Units)
● Create a custom skill
● Add a custom skill to a skillset
● Exercise - Implement a custom skill
Module 21 - Create a knowledge store with Azure AI Search (6 Units)
● Define projections
● Define a knowledge store
● Exercise - Create a knowledge store
Module 22 - Plan an Azure AI Document Intelligence solution (6 Units)
● Understand AI Document Intelligence
● Plan Azure AI Document Intelligence resources
● Choose a model type
Module 23 - Use prebuilt Azure AI Document Intelligence models (7 Units)
● Understand prebuilt models
● Use the General Document, Read, and Layout models
● Use financial, ID, and tax models
● Exercise - Analyze a document using Azure AI Document Intelligence
Module 24 - Extract data from forms with Azure Document Intelligence (9 Units)
● 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 25 - Get started with Azure OpenAI Service (10 Units)
● 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
● Exercise - Get started with Azure OpenAI Service
Module 26 - Build natural language solutions with Azure OpenAI Service (7 Units)
● Integrate Azure OpenAI into your app
● Use Azure OpenAI REST API
● Use Azure OpenAI SDK
● Exercise - Integrate Azure OpenAI into your app
Module 27 - Apply prompt engineering with Azure OpenAI Service (7 Units)
● Understand prompt engineering
● Write more effective prompts
● Provide context to improve accuracy
● Exercise - Utilize prompt engineering in your application
Module 28 - Generate code with Azure OpenAI Service (7 Units)
● Construct code from natural language
● Complete code and assist the development process
● Fix bugs and improve your code
● Exercise - Generate and improve code with Azure OpenAI Service
Module 29 - Generate images with Azure OpenAI Service (7 Units)
● What is DALL-E?
● Explore DALL-E in Azure OpenAI Studio
● Use the Azure OpenAI REST API to consume DALL-E models
● Exercise - Generate images with a DALL-E model
Module 30 - Use your data with Azure OpenAI Service (7 Units)
● Understand how to use your own data
● Add your data source
● Chat with your model using your data
● Exercise - Use your data with Azure OpenAI Service
Module 31 - Fundamentals of Responsible Generative AI (9 Units)
● Plan a responsible generative AI solution
● Identify potential harms
● Measure potential harms
● Mitigate potential harms
● Operate a responsible generative AI solution
● Exercise - Explore content filters in Azure OpenAI
About The Certification
The AI-102: Designing & Implementing an Azure AI Solution Certification
The AI-102T00 course prepares you for the AI-102 exam essential for obtaining the Microsoft Certified: Azure AI Engineer Associate accreditation. This certification validates your proficiency in developing, overseeing, and implementing AI solutions using Azure intelligent services, search, and the Microsoft Bot framework. Successful completion of the AI-102 exam is necessary to attain this credential.
Choose Your Preferred Mode
Online Training
- 4 days of course content
- Instructor-led training and class sessions
- Subject matter experts with over a decade of experience
- 24x7 learning assistance and support
Corporate Training
- Customized to your team's needs with a blended learning delivery model
- Access to the Learning Management System (LMS)
- Customized curriculum for working professionals to achieve organizational goals
- 24x7 assistance and support
FAQ’s
Why should I choose Vinsys for the AI-102T00 course?
Vinsys has partnered with Azure-certified experts with over two decades of experience in the field. We offer a proven methodology, seasoned experts, and a focus on practical applications aligned with real-time challenges. Vinsys has stood tall for over 25 years in skill development and IT training programs. We ensure you succeed in your desired field with adequate skill implementation on the job.
What does the AI-102T00 course cover?
You will learn Azure AI essentials, including Cognitive Services, Bot Framework, and Search, to design & deploy cutting-edge solutions.
Do I need prior AI or Azure experience?
You must be familiar with the Azure portal navigation. It is recommended to start with AI-900T00: Microsoft Azure AI Fundamentals first.
How long is the course?
The course spans four days, ensuring a comprehensive grasp of Azure AI technologies. However, with flexible online options available, you can complete at your own pace.
What delivery methods does Vinsys offer for this course?
Vinsys offers blended learning options, such as virtual instructor-led, private group, and instructor-led training. You can opt for training and programs based on your availability.
What programming languages are used in the AI-102T00 course?
The course accommodates both C# and Python programming languages.
What resources does Vinsys offer for exam preparation?
We provide exam preparation material, study guides, and access to 24x7 expert support.
How can I prepare for the AI-102 exam?
Vinsys program is structured according to the official exam requirements. Once you complete the AI-102T00 course, you can easily ace the AI-102 exam.
What is the price for the AI-102 certification exam?
The charge for the AI-102 certification exam is $165.
What level of expertise does the AI-102T00 course cater to?
The AI-102T00 is an intermediate-level course.
Why Vinsys
Seasoned Instructors
Official Vendor Partnerships
Authorized Courseware
3,000+ Courses & 2,000+ Modules
In Synch with Tech-advancements
Customizable Blended Learning Options
Reviews
The broad coverage of AI solutions in the AI-102 program has helped our team's proficiency. The hands-on exercises and industry-aligned modules make it a top choice for corporate training.
Rakesh MeheraSoftware Engineer
As a Senior Software Developer, I appreciate the broad nature of the AI-102 course. Vinsys' training empowered our team with in-depth knowledge and practical skills. It has enabled us to leverage Azure AI services more effectively in our projects.
Rima GulatiSoftware Engineer
