Training plan
Module 1: Analyze images
- Provision an Azure AI Vision resource
- Analyze an image
- Exercise – Analyze images
Module 2: Read text in images
- Explore Azure AI options for reading text
- Read text with Azure AI Vision Image Analysis
- Exercise – Read text in images
Module 3: Detect, analyze, and recognize faces
- Plan a face detection, analysis, or recognition solution
- Detect and analyze faces
- Verify and identify faces
- Responsible AI considerations for face-based solutions
- Exercise – Detect and analyze faces
Module 4: Classify images
- Azure AI Custom Vision
- Train an image classification model
- Create an image classification client application
- Exercise – Classify images
Module 5: Detect objects in images
- Use Azure AI Custom Vision for object detection
- Train an object detector
- Develop an object detection client application
- Exercise – Detect objects in images
Module 6: Analyze video
- Understand Azure Video Indexer capabilities
- Extract custom insights
- Use Video Analyzer widgets and APIs
- Exercise – Analyze video
Module 7: Develop a vision-enabled generative AI application
- Deploy a multimodal model
- Develop a vision-based chat app
- Exercise – Develop a vision-enabled chat app
Module 8: Generate images with AI
- What are image-generation models?
- Explore image-generation models in Azure AI Foundry portal
- Create a client application that uses an image generation model
- Exercise – Generate images with AI
Recommended prerequisite knowledge
- Know Azure and the Azure portal.
- Have programming experience with C# or Python.
Credentials and certification
Features
- Preparatory training for obtaining a Microsoft Applied Skills credential.
- Performance is assessed through an interactive remote lab.
- Duration: 120 minutes
- Cost: $0
Assessment’s technical tasks
- Create a computer vision resource
- Analyze images
- Create a custom image analysis model
- Train and evaluate the model
- Consume a custom model
Azure Computer Vision Training
The Azure Computer Vision training is designed for AI developers and professionals seeking to master the development of computer vision solutions using Azure AI. This hands-on course covers essential concepts such as creating image analysis applications, configuring vision models, and integrating advanced visual recognition capabilities into enterprise solutions.
By participating in this training, professionals will acquire the skills necessary to optimize visual solution implementations while ensuring responsible AI practices and robust solution architecture.
Why Take This Training?
In a world where artificial intelligence is transforming business operations, developing computer vision solutions has become essential for innovation and competitive advantage. Azure AI offers a comprehensive suite of tools to meet modern enterprise visual analysis needs. This course enables you to understand how to configure, develop, and deploy computer vision solutions using Azure AI to ensure reliable and scalable implementations.
This training will allow you to integrate advanced computer vision practices while maximizing the performance and efficiency of your visual analysis applications.
Skills Developed During Training
Creating and Configuring Azure AI Vision
Learn to design and configure Azure AI Vision services tailored to your organization’s needs.Developing Image Analysis Applications
Discover how to create, configure, and integrate computer vision capabilities into enterprise applications.Implementing Custom Vision Models
Learn to define and apply effective visual models to optimize object recognition and image analysis.Managing Solution Deployment and Scaling
Explore solutions for deploying and scaling vision models in production environments.Monitoring and Optimizing Visual Performance
Use Azure native tools to monitor vision model performance and diagnose implementation issues.Ensuring Responsible AI Practices
Integrate Azure AI Content Safety, responsible AI frameworks, and governance for ethical visual deployment.
Practical, Results-Oriented Training
Led by certified Azure AI experts, this course provides a balance between theory and practice. Through real-world case studies and interactive exercises, you’ll learn to apply your knowledge to solve complex computer vision solution development challenges in Azure.
Who Is This Training For?
- AI developers seeking to enhance their Azure AI Vision skills
- IT professionals responsible for visual solution architecture and implementation
- Cloud specialists managing Azure AI infrastructures
- Anyone interested in computer vision solution development and responsible AI practices
Optimize Your Computer Vision Solutions
The Develop Computer Vision Solutions in Azure (AI-3004) training is ideal for developing your skills in visual solution development and cloud-based computer vision. Join us today to learn how to create powerful visual analysis applications and ensure reliable and scalable implementations.
Frequently Asked Questions - Azure AI Vision Development Training (FAQ)
Azure AI Vision configuration, image analysis application development, custom vision models, solution deployment, and responsible AI implementation.
Basic understanding of Azure services and computer vision concepts is recommended but not mandatory.
Yes, the course features practical labs and real-world scenarios for applying visual solution development skills.
Azure AI Vision, Azure AI Custom Vision, Azure AI Content Safety, and associated visual development tools.
Yes, the course emphasizes responsible AI practices, content safety, and governance frameworks.
Absolutely, the training covers enterprise-scale deployment, monitoring, and management of computer vision solutions.
