Microsoft Course: Create vision models with Azure AI Custom Vision
See Smarter, Code Stronger: Transform Pixels into Intelligence!
- Build AI models that classify images or detect objects
- Implement custom computer vision solutions using Azure services
- Create client applications integrating vision models
- Apply these skills to retail, manufacturing, or quality control scenarios
- Align with industry
- Build a base for specialized roles in AI development or cloud engineering
- Prepare for more advanced Microsoft certifications in AI
What you will learn
This Microsoft Learn course teaches you to build customized computer vision solutions using Azure AI Custom Vision. Over 2 hours and 8 minutes, you'll master image classification and object detection through hands-on exercises. Designed for AI developers, the training covers how to train models with your own images, integrate them into applications, and leverage Microsoft's cloud-based tools for real-world visual perception scenarios.
Microsoft's Create vision models with Azure AI Custom Vision course Outline
Learn the Create vision models with Azure AI Custom Vision
Ready to unlock the power of visual AI? Microsoft's hands-on course 'Create Vision Models with Azure AI Custom Vision' lets you master image classification and object detection in just over 2 hours. Perfect for developers entering AI, you'll learn to train models using real images and deploy them through Azure – no PhD required! The course includes practical coding exercises and free cloud resources. Start building smart vision solutions today!
Start your journey today:
Course Structure Includes:
Module 1: Classify Images (63 min)
- Azure AI Custom Vision fundamentals
- Training classification models
- Building client applications
- 45-minute hands-on lab
Module 2: Detect Objects (65 min)
- Object detection principles
- Model training techniques
- Application integration methods
- 45-minute practical exercise
Both modules include assessments and summaries.
Training Options
Self Paced Learning
- Lifelong access to high-quality content
- Curated by industry experts
- Customized learning progress
- 24/7 learner assistance and support
- Follow the latest technology trends
Exam Dump
- 100% Real Exam Practice Tests
- 100% Verified Exam Questions & Answers
- 100% Guarantee Passing Rate
- Average 7 Days to Practice & Pass
Description
Build & deploy custom vision AI models in 2 hours! Learn image classification and object detection using Azure's powerful tools. Includes hands-on labs for real-world applications.
Pre-requisites
Ability to navigate the Azure portal
SPOTO Empowers You to Earn Your Certification.
Benefits of AWS Certified AI Practitioner Certification
Microsoft Certified: Azure AI Fundamentals (AI-900) is an entry-level certification designed to validate foundational knowledge of AI and machine learning concepts, including computer vision, natural language processing (NLP), generative AI, and responsible AI principles. Ideal for both technical and non-technical professionals, it requires no prior coding experience and offers free, flexible learning resources via Microsoft Learn. The certification enhances career prospects in high-demand roles like AI Engineer or Data Scientist, with potential salary increases up to 20%, while serving as a gateway to advanced Azure certifications (e.g., AI-102). Cost-effective and time-efficient (preparation in 10–30 hours), the exam focuses on real-world applications using Azure Cognitive Services, OpenAI APIs, and Azure Machine Learning. With permanent validity and global recognition across 90+ countries, it equips professionals to drive AI innovation in industries such as healthcare and finance. Start your AI journey with Microsoft Learn today!
Advantages of Using SPOTO's Exam Preparation Materials
SPOTO's study resources provide comprehensive coverage of the exam syllabus, aligning with key topics like ML problem framing, data processing, model optimization, and pipeline automation. The materials include structured learning paths, practice exams, and real-world case studies that mirror the certification's focus on designing, implementing, and deploying machine learning solutions with Microsoft services and ML workflows. By leveraging SPOTO's targeted content, candidates can efficiently bridge knowledge gaps, reinforce practical skills, and gain familiarity with the exam format. This focused preparation increases confidence and readiness, particularly for complex tasks such as deploying CI/CD pipelines or optimizing model performance—areas emphasized in the certification. Combined with hands-on experience, SPOTO's resources offer a strategic advantage for achieving certification success.
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