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.Lee mas.
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Las técnicas y herramientas cubiertas en Mastering Cloud Computing for AI: How to Use Microsoft Azure son muy similares a los requisitos que se encuentran en los anuncios de trabajo de Arquitecto de datos.
