Designing and Implementing a Microsoft Azure AI Solution (AI-102T00)
Training plan
Module 1: Develop generative AI apps in Azure
- Plan and prepare to develop AI solutions on Azure
- Choose and deploy models from the model catalog in Azure AI Foundry portal
- Develop an AI app with the Azure AI Foundry SDK
- Get started with prompt flow to develop language model apps in the Azure AI Foundry
- Develop a RAG-based solution with your own data using Azure AI Foundry
- Fine-tune a language model with Azure AI Foundry
- Implement a responsible generative AI solution in Azure AI Foundry
- Evaluate generative AI performance in Azure AI Foundry portal
Module 2: Develop AI agents on Azure
- Get started with AI agent development on Azure
- Develop an AI agent with Azure AI Foundry Agent Service
- Integrate custom tools into your agent
- Develop an AI agent with Semantic Kernel
- Orchestrate a multi-agent solution using Semantic Kernel
Module 3: Develop natural language solutions in Azure
- Analyze text with Azure AI Language
- Create question answering solutions with Azure AI Language
- Build a conversational language understanding model
- Create a custom text classification solution
- Custom named entity recognition
- Translate text with Azure AI Translator service
- Create speech-enabled apps with Azure AI services
- Translate speech with the Azure AI Speech service
- Develop an audio-enabled generative AI application
Module 4: Develop computer vision solutions in Azure
- Analyze images
- Read text in images
- Detect, analyze, and recognize faces
- Classify images
- Detect objects in images
- Analyze video
- Develop a vision-enabled generative AI application
- Generate images with AI
Module 5: Develop AI information extraction solutions in Azure
- Create a multimodal analysis solution with Azure AI Content Understanding
- Create an Azure AI Content Understanding client application
- Use prebuilt Document intelligence models
- Extract data from forms with Azure Document intelligence
- Create a knowledge mining solution with Azure AI Search
Recommended prerequisite knowledge
- Knowledge of Microsoft Azure and ability to navigate the Azure portal
- Knowledge of either C# or Python
- Familiarity with JSON and REST programming semantics
Credentials and certification
Exam features
- Code: AI-102
- Title: Designing and Implementing a Microsoft Azure AI Solution
- Duration: 130 minutes
- Number of Questions: 40 to 60
- Question Format: Multiple choice, multiple response, scenario-based
- Passing Score: 700 out of 1000
- Cost: $0 (included in your training)
Exam topics
- Plan and manage an Azure AI solution
- Implement decision support solutions
- Implement computer vision solutions
- Implement natural language processing solutions
- Implement knowledge mining and document intelligence solutions
- Implement generative AI solutions
Microsoft Azure AI Engineer Training (AI-102)
The Microsoft Certified: Azure AI Engineer Associate (AI-102) training is designed for IT professionals who want to master the design and management of artificial intelligence solutions using Microsoft Azure. This course covers essential topics such as creating and managing cognitive services, implementing natural language-based solutions, and integrating AI features into modern cloud applications.
Ideal for AI engineers, developers, and IT professionals, this training also prepares participants to pass the AI-102 exam and earn the Azure AI Engineer Associate certification.
Why Choose the Azure AI Engineer Associate Training?
With the growing prominence of artificial intelligence, businesses are looking for experts capable of designing innovative AI-based solutions to meet their needs. This training equips you with practical skills to create and integrate AI models using Azure’s advanced tools. The Azure AI Engineer Associate certification validates your expertise in AI development, enhancing your professional profile and career opportunities.
Through this training, you will gain expertise in cognitive services, machine learning, and data management, all of which are essential for modern AI projects.
Key Skills Developed in the Training
Deploy and manage Azure cognitive services
Learn to configure, manage, and customize services like Azure Cognitive Services for AI-based applications.Implement natural language solutions
Discover how to use natural language processing (NLP) models to analyze and interpret textual data.Create solutions based on computer vision
Master using AI to analyze images and videos with Azure Computer Vision and Custom Vision.Integrate AI solutions into cloud applications
Learn to embed AI models into applications using Azure Machine Learning and AI-based APIs.Secure and monitor AI solutions
Implement strategies to protect data and monitor the performance of AI models in Azure.Automate AI tasks
Use Azure CLI and PowerShell to automate the deployment and management of artificial intelligence solutions.
Interactive, Instructor-Led Training
The Azure AI Engineer Associate training is led by Microsoft-certified experts. Through interactive sessions and hands-on exercises, participants gain an in-depth understanding of Azure AI concepts and tools. This format ensures comprehensive preparation for the certification exam while providing immediately applicable skills for professional projects.
Who Should Attend?
This training is ideal for:
- AI engineers and developers working on artificial intelligence-based solutions
- IT professionals seeking to integrate AI capabilities into cloud applications
- Participants preparing for the Azure AI Engineer Associate (AI-102) certification
- Organizations looking to adopt artificial intelligence solutions in their operations
Enhance Your Artificial Intelligence Skills with Azure
The Microsoft Certified: Azure AI Engineer Associate (AI-102) training prepares you to design, deploy, and manage advanced AI solutions. Enroll today to earn a recognized certification and advance your career in artificial intelligence.
Frequently asked questions - Microsoft AI Azure Engineerr (AI-102) training (FAQ)
What topics are covered in the AI-102 training?
The course covers managing cognitive services, natural language processing solutions, computer vision, and integrating AI models into cloud applications.
Who is this course designed for?
This course is intended for AI engineers, developers, and IT professionals working on artificial intelligence projects.
What tools and services will be used during this training?
You will use tools such as Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service.
What prerequisites are recommended for this training?
A basic understanding of artificial intelligence concepts, programming, and Azure services is recommended.
What are the benefits of the Azure AI Engineer Associate certification?
This certification validates your skills in creating AI solutions, strengthening your career opportunities in this rapidly growing field.
Does the training include hands-on exercises?
Yes, interactive exercises are included to help participants apply their knowledge to real-world scenarios.