Explore Catalogue

Welcome to Azure Serverless API Management Course. This course will get you up to speed with Azure API Management, and you'll learn the best practices to implement API Management. With a special focus on API Management Policies, you'll get to learn how you can use different policies to empower your APIs in the API Management, covering the Infrastructure part of the API Management ending up with the Monitoring and understand the key metrics that would help you to analyze your API Management. Happy Learning! In this course you will learn the following topics

• Create an API Management
• Create APIs
• API Management Products
• Subscription keys
• API Mock Responses
• Throttling
• Revisions
• Versions
• Policies
• Authentication Policies
• Access Restriction Policies
• Caching Policies
• Cross-Domain Policies
• Transformation Policies
• Advanced Policies
• API Management Infrastructure
• Application Gateway
• CICD & ARM template
• Monitoring
• Analytics
• Metrics
• Alerts
• Logs
• Diagnostic Settings
• Visual Studio Code
• API Gateway
• Serverless

This course is designed to help you understand the basics of cloud computing, enabling a freshly graduated student looking to start a career in cloud computing, or a working professional switching from another field to understand the core principles of cloud computing.  Today we hear about many IT fields which are growing very fast and are the future of our world, Big Data, IoT, artificial intelligence, machine learning, data science, and many others. Yes, all of these technologies could not exist or evolve without the presence of cloud computing. In fact, most of these related technologies could not have evolved as rapidly or profoundly with the critical role cloud computing has played.  In this course we will start by defining Cloud Computing and its history. Then we will see the different cloud service models, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service ( SaaS). After that we will describe the cloud computing deployment models: Public cloud, Private cloud and hybrid cloud. Then we will discover the best practices to benefit from Cloud Computing Services. And we cannot speak about cloud computing without speaking about the challenges you will face if you want to move your infrastructure to cloud. We will focus on the security of cloud computing and the challenges around it as the security nowadays is very critical aspect and we will see some cybersecurity attacks. Another important point is what are the strategies to follow to enhance the security of your cloud computing environment.  This course will give you general information about cloud computing without discussing a specific cloud solution like AWS or Azure, but at the same time we will have an idea about the most popular cloud computing solutions and providers. We will see how to choose between the various cloud solutions for a business, and to install a cloud environment at your home in a few steps and in few minutes.

This course addresses evaluating Large Language Models (LLMs), starting with foundational evaluation methods, exploring advanced techniques with Vertex AI's tools like Automatic Metrics and AutoSxS, and forecasting the evolution of generative AI evaluation. It emphasizes practical applications, and the integration of human judgment alongside automatic methods, and prepares learners for future trends in AI evaluation across various media including text, images, and audio. This comprehensive approach ensures learners are equipped to assess LLMs effectively, enhancing business strategies and innovation.