Microsoft Course: Develop computer vision solutions in Azure
Master Azure AI: Build Intelligent Computer Vision Solutions
- Build expertise in Azure's AI-powered computer vision tools
- Automate tasks like image analysis
- Create custom image classification models with DALL-E
- Generate AI-based visuals with DALL-E
- Enhance applications with OCR, facial recognition
- Gain skills to design enterprise-grade vision solutions
- 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 6-hour, 35-minute course equips you to develop advanced computer vision solutions using Azure AI. Covering key services like Azure AI Vision, Custom Vision, Video Indexer, and OpenAI's DALL-E, you'll learn to analyze images, detect objects, recognize text and faces, classify visuals, process videos, and even build vision-enabled generative AI applications. Hands-on modules blend theory with practical use cases, preparing you to implement scalable AI-driven visual solutions.
Microsoft's Develop computer vision solutions in Azure course Outline
Learn the Develop computer vision solutions in Azure
Ready to harness the power of AI for visual data? Dive into Microsoft's comprehensive course on developing computer vision solutions with Azure AI. Whether you're analyzing images, detecting objects, generating AI art, or building smart video apps, this training covers it all. Perfect for developers and data scientists, the course combines step-by-step guidance with real-world projects. Start transforming pixels into insights—explore the course now!
Start your journey today:
Course Structure Includes:
Module 1: Analyze images with Azure AI Vision.
Module 2: Read text via OCR using Image Analysis API.
Module 3: Detect, analyze, and recognize faces.
Module 4: Train custom image classification models.
Module 5: Detect objects in images with Custom Vision.
Module 6: Extract insights from video using Video Indexer.
Module 7: Build vision-enabled generative AI chat apps.
Module 8: Generate images with OpenAI's DALL-E in Azure.
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
Learn to analyze images, detect objects, process videos, and integrate generative AI using Azure's tools. Turn visual data into actionable insights in 6.5 hours!
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!
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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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