Udemy
Applied AI: NLP, Computer Vision, Robot & GenAI Deployment
Artificial Intelligence · Data Science · Development
Library / Artificial Intelligence
On Udemy
Artificial Intelligence is transforming every industry, and Microsoft Azure provides one of the most powerful and enterprise-ready AI platforms available today. This course is a complete, hands-on guide to building AI solutions using Microsoft Azure AI Services and Azure AI Foundry, designed for beginners as well as experienced professionals.
In this course, you will explore the entire Azure AI ecosystem, starting with AI fundamentals and progressing to real-world implementations. You will learn how to build Natural Language Processing (NLP) solutions such as sentiment analysis, text classification, translation, and summarization. You will also work with Computer Vision to analyze images, detect objects, and extract visual insights using Azure AI Vision.
The course covers Machine Learning on Azure, including datasets, experiments, training workflows, and model deployment using Azure Machine Learning. A dedicated section focuses on Generative AI, where you will learn how to use Azure OpenAI and AI Foundry to design intelligent applications using large language models, prompt engineering techniques, and responsible AI practices.
This course emphasizes practical, real-world use cases, making it ideal for learners who want to apply AI in enterprise scenarios. No prior AI or machine learning experience is required—every concept is explained step by step.
By the end of this course, you will have the confidence to design, build, and deploy AI-powered applications on Microsoft Azure, and you’ll be well-prepared to pursue Azure AI–related roles or certifications.
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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