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 like ChatGPT, and digital assistants like Siri, Alexa, and Cortana, 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.

This course is for professionals who would like to enhance their employability in the growing field of AI.

It will be particularly of interest to applied machine-learning specialists and engineers, data and AI architects, and AI analysts, statisticians, researchers, scientists, engineers or developers.

Ideally you will need a laptop or desktop computer to complete this course.

• Course Introduction
• About this Course
• Cloud Concepts
• Review and Summary: Cloud Concepts
• Core Azure Architectural Components
• Core Azure Services
• Azure Products and Solutions
• Review and Wrapping up the week
• Azure Fundamentals
• Azure Management Tools
• Networks and Security in Azure
• Azure Governance, Monitoring and Trust
• Privacy, Compliance and Data Protection standards in Azure
• Review and Summary: Security Components
• Azure Pricing and Support
• Review and Summary: Pricing and Support
• Wrap Up and Course Completion