이 과정 소개
Adding intelligent capabilities like facial recognition, optical character recognition (OCR), and conversational bots to your applications used to require a PhD in mathematics. Today, cloud-based AI services allow any developer to integrate sophisticated machine learning models with simple API calls.
This course teaches you how to leverage Azure AI Services and Azure Machine Learning Studio to build smart, responsive applications. You will transition from understanding core machine learning concepts to reading and applying modern cloud AI workflows, enabling you to add features like automated content moderation, text extraction, and conversational agents to your developer toolkit.
What you'll learn:
- Understand the fundamental principles of machine learning, cloud-based AI, and responsible AI practices.
- Configure and deploy Azure AI Vision services to perform optical character recognition (OCR), face detection, and image analysis.
- Implement Azure AI Video Indexer to extract insights, keywords, and speech-to-text data from video files.
- Build intelligent conversational interfaces using Azure Bot Service and language understanding tools.
- Train and evaluate custom machine learning models using the visual interface of Azure Machine Learning Studio.
- Integrate cloud AI APIs into Python applications using modern SDKs and secure authentication patterns.
You will start with foundational cloud AI concepts and terminology before exploring hands-on text-based walkthroughs for computer vision, natural language, and custom model training. The curriculum progresses from simple pre-built APIs to designing workflows for custom predictive models.
This course is designed for beginner developers, software engineers, and technology enthusiasts who want to incorporate AI into their projects without a deep background in data science. No prior machine learning experience is required.
Start reading today to unlock the potential of cloud-hosted machine learning and build smarter applications.
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