Prepares for Exam : Designing and Implementing a Microsoft Azure AI Solution (AI-102)
Prepares for Certification : Microsoft Certified: Azure AI Engineer Associate
Achieving the Microsoft Certified Azure AI Engineer certification is not an easy task, but with your Readynez Course and Learning Program we’ve done everything we can to support you from start to finish, ensuring you have the optimal conditions to succeed. That includes the best resources available to help you prepare, including relevant online courses, access to practical labs, practice test for Exam prep, study guides, exam support and guides etc, all made easily accessible to you in our Learning Platform. If you select our Virtual Training option, you also contribute to a more sustainable world with a reduction in CO2 emission of 96% compared to the in-classroom option.
The Microsoft Certified Azure AI Engineer (AI-102) certification is for individuals with experience in designing and implementing AI solutions using Azure tools and services. The certification validates the ability to use Azure Cognitive Services, Machine Learning, and other AI technologies to build intelligent solutions. To obtain the certification, candidates must pass the AI-102 exam, which covers topics such as designing and implementing AI solutions, working with data storage and processing, building and deploying models using Azure Machine Learning, and natural language processing and computer vision technologies.
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- Select the appropriate Cognitive Services resource
- Select the appropriate cognitive service for a vision solution
- Select the appropriate cognitive service for a language analysis solution
- Select the appropriate cognitive Service for a decision support solution
- Select the appropriate cognitive service for a speech solution
- Manage Cognitive Services account keys
- Manage authentication for a resource
- Secure Cognitive Services by using Azure Virtual Network
- Plan for a solution that meets responsible AI principles
- Create a Cognitive Services resource
- Configure diagnostic logging for a Cognitive Services resource
- Manage Cognitive Services costs
- Monitor a cognitive service
- Implement a privacy policy in Cognitive Services
- Identify when to deploy to a container
- Containerize Cognitive Services (including Computer Vision API, Face API, Text Analytics, Speech, Form Recognizer)
- Retrieve image descriptions and tags by using the Computer Vision API
- Identify landmarks and celebrities by using the Computer Vision API
- Detect brands in images by using the Computer Vision API
- Moderate content in images by using the Computer Vision API
- Generate thumbnails by using the Computer Vision API
- Extract text from images by using the OCR API
- Extract text from images or PDFs by using the Read API
- Convert handwritten text by using Ink Recognizer
- Extract information from forms or receipts by using the pre-built receipt model in Form
- Build and optimize a custom model for Form Recognizer
- Detect faces in an image by using the Face API
- Recognize faces in an image by using the Face API
- Configure persons and person groups
- Analyze facial attributes by using the Face API
- Match similar faces by using the Face API
- Label images by using the Computer Vision Portal
- Train a custom image classification model in the Custom Vision Portal
- Train a custom image classification model by using the SDK
- Manage model iterations
- Evaluate classification model metrics
- Publish a trained iteration of a model
- Export a model in an appropriate format for a specific target
- Consume a classification model from a client application
- Deploy image classification custom models to containers
- Label images with bounding boxes by using the Computer Vision Portal
- Train a custom object detection model by using the Custom Vision Portal
- Train a custom object detection model by using the SDK
- Manage model iterations
- Evaluate object detection model metrics
- Publish a trained iteration of a model
- Consume an object detection model from a client application
- Deploy custom object detection models to containers
- Process a video
- Extract insights from a video
- Moderate content in a video
- Customize the Brands model used by Video Indexer
- Customize the Language model used by Video Indexer by using the Custom Speech service
- Customize the Person model used by Video Indexer
- Extract insights from a live stream of video data
- Retrieve and process key phrases
- Retrieve and process entity information (people, places, urls, etc.)
- Retrieve and process sentiment
- Detect the language used in text
- Implement text-to-speech
- Customize text-to-speech
- Implement speech-to-text
- Improve speech-to-text accuracy
- Translate text by using the Translator service
- Translate speech-to-speech by using the Speech service
- Translate speech-to-text by using the Speech service
- Create intents and entities based on a schema, and then add utterances
- Create complex hierarchical entities, use this instead of roles
- Train and deploy a model
- Implement phrase lists
- Implement a model as a feature (i.e. prebuilt entities)
- Manage punctuation and diacritics
- Implement active learning
- Monitor and correct data imbalances
- Implement patterns
- Manage collaborators
- Manage versioning
- Publish a model through the portal or in a container
- Export a LUIS package
- Deploy a LUIS package to a container
- Integrate Bot Framework (LUDown) to run outside of the LUIS portal
- Create data sources
- Define an index
- Create and run an indexer
- Query an index
- Configure an index to support autocomplete and autosuggest
- Boost results based on relevance
- Implement synonyms
- Attach a Cognitive Services account to a skillset
- Select and include built-in skills for documents
- Implement custom skills and include them in a skillset
- Define file projections
- Define object projections
- Define table projections
- Query projections
- Provision Cognitive Search
- Configure security for Cognitive Search
- Configure scalability for Cognitive Search
- Manage re-indexing
- Rebuild indexes
- Schedule indexing
- Monitor indexing
- Implement incremental indexing
- Manage concurrency
- Push data to an index
- Troubleshoot indexing for a pipeline
- Create a QnA Maker service
- Create a knowledge base
- Import a knowledge base
- Train and test a knowledge base
- Publish a knowledge base
- Create a multi-turn conversation
- Add alternate phrasing
- Add chit-chat to a knowledge base
- Export a knowledge base
- Add active learning to a knowledge base
- Manage collaborators
- Design conversation logic for a bot
- Create and evaluate *.chat file conversations by using the Bot Framework Emulator
- Add language generation for a response
- Design and implement adaptive cards
- Implement dialogs
- Maintain state
- Implement logging for a bot conversation
- Implement a prompt for user input
- Add and review bot telemetry
- Implement a bot-to-human handoff
- Troubleshoot a conversational bot
- Add a custom middleware for processing user messages
- Manage identity and authentication
- Implement channel-specific logic
- Publish a bot
- Implement dialogs
- Maintain state
- Implement logging for a bot conversation
- Implement prompts for user input
- Troubleshoot a conversational bot
- Test a bot by using the Bot Framework Emulator
- Publish a bot
- Integrate a QnA Maker service
- Integrate a LUIS service
- Integrate a Speech service
- Integrate Dispatch for multiple language models
- Manage keys in app settings file
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Julian is an official Microsoft Business Application MVP and one of the most widely recognized experts on Dynamics 365.
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At Readynez, we provide many resources and have experienced experts in the field. That is why we are also very successful with many satisfied customers. You can therefore safely take your course with us. In order to take the AI-102 course, however, some prerequisites are required.
You have the perfect starting point to take this course with these prerequisites:
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Achieving the Microsoft Azure AI Fundamental certification is not an easy task, but with your Readynez Course and Learning Program we’ve done everything we can to support you from start to finish, ensuring you have the optimal conditions to succeed. That includes the best resources available to help you prepare, including relevant online courses, access to practical labs, practice test for Exam prep, study guides, exam support and guides etc, all made easily accessible to you in our Learning Platform. If you select our Virtual Training option, you also contribute to a more sustainable world with a reduction in CO2 emission of 96% compared to the in-classroom option.
VIEW COURSEAchieving the Microsoft Certified Azure Administrator Associate certification is not an easy task, but with your Readynez Course and Learning Program we’ve done everything we can to support you from start to finish, ensuring you have the optimal conditions to succeed. That includes the best resources available to help you prepare, including relevant online courses, access to practical labs, practice test for Exam prep, study guides, exam support and guides etc, all made easily accessible to you in our Learning Platform. If you select our Virtual Training option, you also contribute to a more sustainable world with a reduction in CO2 emission of 96% compared to the in-classroom option.
VIEW COURSEThe Virtual Classroom is an online room, where you will join your instructor and fellow classmates in real time. Everything happens live and you can interact freely, discuss, ask questions, and watch your instructor present on a whiteboard, discuss the courseware and slides, work with labs, and review.
Yes, you can sit exams from all the major Vendors like Microsoft, Cisco etc from the comfort of your home or office.
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