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Mastering Cloud Computing for AI: How to Use Microsoft Azure

Globally, one in ten enterprises now use ten or more artificial intelligence (AI) applications, including chatbots, process optimisation, fraud analysis. If you want to become an expert and improve your professional standing in AI and machine learning, this course will teach you the future ready skills required. You’ll master the essentials of Azure, Microsoft’s powerful tool for building cloud-based machine-learning applications. You’ll explore Azure’s core solutions and pillar services: security, privacy, compliance and trust. You’ll also find out the basics of Amazon Web Services, the company’s own provider of cloud platforms. Learn the key concepts of cloud computing on Microsoft Azure Storing data, streaming video and even hosting a website requires managing hardware and software. This management is an unnecessary obstacle when delivering an application to your users. Cloud computing is the solution to this problem. This course will teach you how these services are used by businesses to become more successful and efficient. Complete in-depth analysis of IaaS, PaaS, SaaS You’ll find out about the differences between the three core cloud computing models: infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS) and software-as-a-service (SaaS). And you’ll learn how businesses are increasingly making use of these models over standard IT software. Discover how cloud computing concepts relate to AI engineering This course will teach you the foundational principles that have made chatbots and digital assistants such as Siri and Alexa so widespread in our lives. You’ll examine how these two technology spheres – AI and cloud computing – are seamlessly making these connected, intuitive experiences possible.


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What you’ll learn


In this learning opportunity you may improve the skills demanded by employers these days. The most relevant technique in the learning resource that is frequently included by companies is Data Analysis. The most in demand tool is Amazon Web Services.

Who will benefit?


Contrasting the description from this educational opportunity with nearly 10,000 data-related job descriptions, we discover that those interested in Data Architect roles would benefit the most.