Azure AI Masterclass NLP, Computer Vision & GenAI

What you'll learn
Understand AI fundamentals and Microsoft Azure AI ecosystem, including Azure AI Services, Azure OpenAI, and AI Foundry.
Build NLP solutions in Azure such as sentiment analysis, text summarization, translation, and language understanding.
Develop computer vision and machine learning solutions using Azure AI Vision, Azure ML, datasets, and pipelines.
Create, deploy, and govern Generative AI applications using Azure OpenAI, AI Foundry, prompt engineering, and responsible AI.
Microsoft Azure AI Azure AI Services
Azure OpenAI
NLP in Azure
Computer Vision Azure
Machine Learning Azure
Prompt Engineering
Responsible AI
Familiarity with cloud concepts or any programming language is helpful but not mandatory.
Requirements
No prior AI, machine learning, or data science experience required. This course starts from fundamentals and progresses step by step.
Basic computer skills and familiarity with using web applications are sufficient to follow the hands-on labs and demos.
An Azure account (free or trial) is recommended for practice, but all concepts are clearly explained even without prior cloud experience.
Familiarity with cloud concepts or any programming language is helpful but not mandatory.
All tools, concepts, and workflows are explained from scratch.
No prior AI or machine learning background required.
No prior experience with Azure AI, NLP, Computer Vision, or Generative AI is required.
Basic understanding of IT systems or software development is beneficial.
Learners will be guided step by step through all Azure AI services.
Description
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.
Who this course is for
Beginners, developers, data professionals, and cloud engineers who want to learn AI, ML, NLP, Computer Vision, and Generative AI using Microsoft Azure.
Anyone with no prior AI experience who wants to understand and build real-world AI solutions using Microsoft Azure and AI Foundry.
Software developers, DevOps engineers, and IT professionals looking to implement Azure AI, Azure OpenAI, machine learning, and GenAI solutions.
Data analysts, data engineers, and data scientists who want hands-on experience with Azure Machine Learning, NLP, and Computer Vision services.
Students and career switchers aiming to build practical AI skills and start a career in Azure AI, Machine Learning, and Generative AI.
Learners preparing for Azure AI-related certifications or professionals upskilling in Azure AI Services and Azure OpenAI.
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