Microsoft Azure - 900 AI Fundamentals
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About this course
Artificial Intelligence (AI) is no longer the technology of tomorrow—it is the driving force of today’s innovation. From enhancing customer experiences to unlocking insights hidden in data, AI empowers organizations to think smarter, act faster, and achieve more. The Microsoft Azure AI Fundamentals (AI-900) certification is your gateway into this transformative world, offering a solid foundation in AI concepts, workloads, and responsible AI principles—without requiring prior technical expertise.
This certification is designed for both technical and non-technical learners who want to understand how AI works and how Microsoft Azure brings it to life. Whether you’re a student, a business professional, or a beginner exploring tech, AI-900 provides the knowledge you need to recognize opportunities, evaluate solutions, and speak the language of AI with confidence.
Through the AI-900 learning path, you’ll explore the major types of AI workloads—such as anomaly detection, computer vision, natural language processing, and knowledge mining—understanding their features, real-world applications, and business impact. You’ll also gain insight into responsible AI, learning why fairness, transparency, inclusiveness, and accountability are essential in building ethical solutions.
The course introduces the fundamentals of machine learning on Azure, including regression, classification, and clustering scenarios. You’ll discover how data is prepared, how models are trained and validated, and how visual tools like Azure Machine Learning Studio simplify the process. In addition, you’ll explore Azure’s powerful AI services—from Computer Vision and Custom Vision to Speech, Translator, and Conversational AI tools—equipping you with a clear picture of the possibilities.
Completing AI-900 is more than just passing an exam—it’s about gaining a future-ready mindset. This knowledge not only prepares you for advanced Azure certifications, such as Azure Data Scientist or AI Engineer Associate, but also positions you as a valuable contributor in any AI-driven project or discussion.
Prerequisites
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Artificial Intelligence (AI) enables machines to simulate human intelligence, performing tasks like understanding language, recognizing images, making decisions, and solving problems. From virtual assistants to medical image analysis, AI powers innovations across industries. The Microsoft AI-900 Fundamentals course introduces AI concepts, workloads, and Responsible AI principles, ensuring learners understand both the technology and the ethics behind it. Designed for all backgrounds, it equips you to identify AI opportunities, evaluate solutions, and apply ethical practices for safe, fair, and impactful AI use.
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Machine Learning (ML) is a vital branch of Artificial Intelligence that empowers systems to learn from historical data, identify patterns, and make accurate predictions or decisions—without needing explicit programming for every scenario. In today’s data-driven world, ML is the backbone of intelligent applications, from personalized recommendations to predictive analytics in healthcare and finance. Microsoft Azure Machine Learning offers a comprehensive, cloud-based platform to seamlessly build, train, and deploy ML models at scale. It supports supervised, unsupervised, and reinforcement learning methods, making it flexible for a wide range of use cases. With powerful tools like Azure ML Studio, Automated Machine Learning (AutoML), and integration with Python SDK, Azure ML caters to both beginners and experienced data professionals. Its capabilities extend beyond model building—offering scalability for massive datasets, secure role-based access, and collaborative features for team projects. By transforming raw data into actionable insights, Azure ML enables businesses and individuals to innovate faster, make data-backed decisions, and create intelligent solutions that adapt and improve over time.
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Computer Vision is a branch of Artificial Intelligence (AI) that enables machines to interpret and make decisions based on visual data such as images or videos, mimicking the human eye and brain. It uses image processing, pattern recognition, and machine learning to extract meaningful insights from visual content. Microsoft Azure provides cloud-based tools like Computer Vision, Custom Vision, Face API, and Form Recognizer, making it easy to build, train, and deploy vision models without deep AI expertise. These tools support workloads like image classification, object detection, OCR, facial analysis, and form recognition for diverse real-world applications.
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Natural Language Processing (NLP) is a branch of Artificial Intelligence that enables machines to understand, interpret, and generate human language, bridging communication between humans and computers. It powers tasks like translation, speech recognition, sentiment analysis, and key phrase extraction. Microsoft Azure offers powerful NLP services such as the Language Service, Translator, and Speech Service, allowing developers to build applications that can read, listen, speak, and understand language in multiple formats and languages. These tools support real-world applications like chatbots, multilingual platforms, accessibility tools, and customer feedback analysis, improving automation, user engagement, and global communication.
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