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Microsoft Certified Azure AI Engineer (AI-102)
Your personal Learning Program with everything you need to best prepare for the AI-102 Exam and become a Certified Microsoft Certified Azure AI Engineer, supported by your expert instructor.
Prepares for Exam : Designing and Implementing a Microsoft Azure AI Solution (AI-102)
Prepares for Certification : Microsoft Certified: Azure AI Engineer Associate
The best course to get your Microsoft Certified Azure AI Engineer Exam and Certification - with Certification Guarantee!
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.
Includes a comprehensive set of Learning materials for the best possible Exam prep- Includes access to extensive Labs for 180 days giving you practical hands-on experience
- Included in our Unlimited Training offering, giving you access to all our Microsoft courses
- Full support available helping you register, prepare for and sit your exam
Who is the Microsoft Certified Azure AI Engineer (AI-102) training course for?
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.
Feedback from our Microsoft Certified Azure AI Engineer delegates
Stephen Ridgway
Readynez is the best training provider I've used for many years. Their customer service is first class, prices are very competitive and instruction excellent.
Johan Andersson
Easy to attend over Teams and an excellent instructor gave me great value for the time I invested.
Everything you need to get the results you want
Your Personal Learning Program will provide the skills you need, to help you do more of what you love. The 3-step learning program is built to teach you real applicable skills that open opportunities for you.
How we get you certified
Readynez365: Your Personal Learning Program
The Readynez365 platform provides an enhanced digital pathway for all your learning elements, from pre-studies to exam, making it the most direct route to new tech Skills. Pick what you want (and need) to get up to speed. It´s all laid out for you in Readynez365 well in advance of your courses.
Learning Designed For The Virtual Classroom
The training methodology is designed for the virtual classroom to inspire and engage you with a variation of hands-on training, presentations, labs and tests. You’ll also be glad to know that Virtual instructor-led training is loved by managers - it is the most cost-effective way to train.
Expert Mentoring That Get’s You All The Way
There´s a maximum number of learners in the class to ensure your easy access to personal coaching. You’ll meet accredited expert instructors that are seasoned IT Professionals and Consultants certified to the highest level and bringing real-world experience into the classroom.
Exam & Skills Focus
We´ll cover the ins and outs of the subject so that you can apply it in your day-to-day work, and you’ll even learn the specifics that you need to know for the exam. It’s your choice whether to sit the exam, or not, but with our detailed guides and hotline, we’ll make it easy to access your exam voucher, and schedule and sit the exam online
Certification Guarantee
Your access to training is unlimited and you can train as much as you want until you successfully pass your exam.
Sustainable Learning - Train with a Clear Conscience
Train with a clear conscience with training that makes a 96% lower carbon footprint compared to in-classroom training. Our organisation operates with minimal environmental impact and we´ve reduced our Co2 emission with 96% since 2020.We are compliant with the ISO 14001 throughout our entire supply chain as your guarantee for our sustainable business practices.
What you will learn during our Microsoft Certified Azure AI Engineer course
- 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
Meet our instructors
Meet some of the Readynez Instructors you can meet on your course. They are experts, passionate about what they do, and dedicated to give back to their industry, their field, and those who want to learn, explore, and advance in their careers.
Julian Sharp
Julian is an official Microsoft Business Application MVP and one of the most widely recognized experts on Dynamics 365.
Jens Gilges
Jens is a 20-year MCT, an Amazon Authorized Champion Instructor and a well accomplish Cloud Infrastructure Security Consultant and Penetration Tester.
How to best be prepared for our Microsoft Certified Azure AI Engineer course
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:
- Proficiency in C#, Python, or JavaScript and ability to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure.
- Understanding of the components that make up the Azure AI portfolio and the available data storage options.
- Candidates need to understand and be able to apply responsible AI principles
Our track record
With 15 years experience and more than 35.000 happy customers from all over the world, companies such as ALSO, ATEA, Microsoft, Serco, and many more, trust Readynez to help them train and certify their staff.
- Top rated courses, with learners most often rating their training 10/10
- Globally recognized expert instructors, many of which are MVP's
- 35.000 delegates trained and certified
- Trusted provider of large training projects for many large companies
These are just some of the many major brands trusting Readynez.
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VIEW COURSEFAQ's
The 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.
With Readynez you do any course form the comfort of your home or office. Readynez provides support and best practices for your at-home classroom and you can enjoy learning with minimal impact on your day-to-day life. Plus you'll save the cost and the environmental burden of travelling.
Well, learning is limitless, when you are motivated, but you need the right path to achieve what you want. Readynez consultants have many years of experience customizing learner paths and we can design one for you too. We are always available with help and guidance, and you can reach us on the chat or write us at info@readynez.com.