Build Vision Solution with Azure AI

AI-3004 | 1 day |

Develop and implement advanced computer vision solutions using Azure AI Vision in this intermediate-level course. Gain hands-on experience with image and video analysis, custom model training, face recognition, and OCR, tailored for AI engineers, developers, and app makers proficient in Python and familiar with Azure.


ITCE is a Certified Microsoft Learning Partner.

  • Create and Configure Vision Resources:
    – Learn to set up Azure AI Vision resources and configure them for various computer vision tasks.
  • Analyze Images:
    – Use pre-trained models to analyze images, extract insights, and understand information based on visual features.
  • Custom Image Analysis Models:
    – Develop custom models for image classification, enabling tailored solutions for specific business needs.
  • Face Detection and Analysis:
    – Implement capabilities to detect, analyze, and recognize human faces, including emotion and facial feature analysis.
  • Optical Character Recognition (OCR):
    – Utilize the Image Analysis API to read and extract text from images and documents.
  • Video Analysis:
    – Leverage Azure Video Indexer to extract insights from video content, such as face identification, text recognition, object labeling, and scene segmentation.

Nikolay Markov

Chief AI Adoption Accelerator @TeamLandi

Nikolay has over 20 years at the forefront of IT innovation, leading the transition from cloud computing and cybersecurity to pioneering in AI research and adoption. 

Nikolay Panchev

Head of AI Transformation @TeamLandi

With over 15 years of expertise in IT and cloud technologies, Nikolay stands out as an innovative Azure AI architect, IT Leader, Cloud consultant and Certified technical trainer. 

Complete an interactive lab where you can demonstrate your ability to create, configure, and implement document processing solutions using Azure AI, with performance being evaluated based on real-world tasks.

Before starting this course, learners should have a basic understanding of Azure fundamentals and familiarity with AI and machine learning concepts. Proficiency in Python programming and experience with data science workloads on Azure are also recommended.

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