Remote Course for AI-102T00: Develop AI solutions in Azure

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Description
Content
Target Audience
Certificates

AI-102 is a hands-on course focused on designing and deploying intelligent applications using Microsoft Azure’s advanced AI services. Participants will learn to build real-world solutions such as image classification systems, facial recognition tools, conversational bots, and intelligent search platforms. The course emphasizes practical implementation using Azure AI Vision, Azure AI Language, Azure AI Search, Azure AI Document Intelligence, and Azure OpenAI Service, with development in C# or Python and integration via REST-based APIs.

Learners will explore key topics including deploying AI services in containers, customizing models for document processing, and implementing Retrieval Augmented Generation (RAG) for enhanced generative AI experiences. The course also covers essential practices for securing and monitoring AI workloads, ensuring ethical and responsible use of AI technologies. By the end of the program, participants will be equipped to build scalable, production-ready AI solutions and earn the Microsoft Azure AI Engineer Associate certification, demonstrating their ability to lead AI initiatives across diverse industries.

Contents:

Azure AI Services Foundations: Learn how to build, secure, monitor, and deploy AI solutions on Azure.
Decision Support: Use Azure AI to classify and moderate text for informed decision-making.
Computer Vision: Create solutions that analyze images, recognize faces, read text, and process video.
Natural Language Processing: Build apps that understand, translate, and respond to human language and speech.
Knowledge Mining: Implement intelligent search and data enrichment using Azure AI Search.
Document Intelligence: Extract and process structured data from documents and forms.
Generative AI: Develop natural language, code, and image generation solutions using Azure OpenAI.

This course is designed for software engineers and developers experienced in building cloud-based applications who want to design and deploy advanced AI solutions using Microsoft Azure. Participants should be proficient in C# or Python and comfortable working with REST-based APIs. Prior experience with Azure AI services and a solid understanding of machine learning, computer vision, and natural language processing concepts are recommended to fully benefit from the course.

Azure AI Engineer Associate, issued by Microsoft upon successful completion of the required certification exam.

Description

Content

Contents:

Azure AI Services Foundations: Learn how to build, secure, monitor, and deploy AI solutions on Azure.
Decision Support: Use Azure AI to classify and moderate text for informed decision-making.
Computer Vision: Create solutions that analyze images, recognize faces, read text, and process video.
Natural Language Processing: Build apps that understand, translate, and respond to human language and speech.
Knowledge Mining: Implement intelligent search and data enrichment using Azure AI Search.
Document Intelligence: Extract and process structured data from documents and forms.
Generative AI: Develop natural language, code, and image generation solutions using Azure OpenAI.

Target Audience

Certificates

Azure AI Engineer Associate, issued by Microsoft upon successful completion of the required certification exam.

Our students for us:

- Marko Krstevski Microsoft .NET Academy

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- Teodor Markovski Student

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- Aleksandar Maksimov Student CertNexus Artificial Intelligence Academy

Because Artificial Intelligence is the challenge of the future. With the modernization of lifestyles and technological advancements on a global scale, artificial intelligence is increasingly playing a key role in all aspects of life and development in society.
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