The intermediate-level certification AI-102: Microsoft Azure AI Engineer Associate attests to your proficiency in designing, implementing, and overseeing AI-driven solutions with Azure services like Cognitive Services, Azure AI Search, and Azure OpenAI. It focuses on using REST APIs, SDKs, and programming languages like Python or C# to create safe, scalable, and responsible AI applications.
Level
Intermediate
Duration
8 Weeks



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Collaborate with solution architects, data engineers, AI specialists, and developers. Build, deploy, and maintain end-to-end AI solutions on Azure. Engage in every lifecycle stage: requirements, design, development, deployment, integration, monitoring, and performance tuning.
Working professional who is carrying more then 10 years of industry experience.
Access to updated presentation decks shared during live training sessions.
E-book provided by TechPratham. All rights reserved.
Module-wise assignments and MCQs provided for practice.
Daily Session would be recorded and shared to the candidate.
Live projects will be provided for hands-on practice.
Expert-guided resume building with industry-focused content support.
Comprehensive interview preparation with real-time scenario practice.
Introduction to Azure AI Engineer Role
Learn the responsibilities of an Azure AI Engineer and understand AI solution workflows on Azure.
Developing AI Solutions with Azure Cognitive Services
Explore pre-built AI services for vision, language, speech, and decision-making.
Computer Vision Solutions
Build intelligent apps using image classification, object detection, and OCR in Azure.
Natural Language Processing (NLP) Solutions
Work with text analytics, language understanding, and translation.
Conversational AI with Bots
Create, configure, and deploy conversational bots using Azure Bot Service.
Speech AI Solutions
Integrate speech-to-text, text-to-speech, and translation capabilities into applications.
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