Inhalt: Machine learning can make your applications faster and more intelligent. You can analyze customer data such as voice and text input, images, and video, and take action without human intervention. Google Cloud Platform (GCP) offers a competitive set of machine learning services for nearly every type of architecture, including serverless computing, containers, and virtual machines. Learn how to design your own machine learning solutions using GCP, in this introductory course with instructor Lynn Langit. Lynn shows how to identify your requirements and map them to services such as the GCP machine learning APIs-Cloud Vision, Cloud Speech-to-Text, Cloud Video Intelligence, and more-and GCP AutoML, which puts the same APIs behind an easy-to-use interface. Then get an overview of the custom ML models and deep neural networks that are possible in Google Cloud ML Engine. Finally, review five different practical examples of GCP machine learning, including a chat bot, an image search application, and an on-device Internet of Things application. Umfang: 02:57:35.00
Inhalt: Alibaba Cloud is a rapidly growing cloud service provider, with a compelling service range on par with Amazon Web Services and Microsoft Azure. Services include compute with virtual machines (VMs), containers, and functions, and file and database services, such as object storage and managed relational and NoSQL databases. This course focuses on using these core infrastructure services, as well as the security and networking features in Alibaba Cloud, to support your applications. Instructor Lynn Langit shows you how to set up a new account, create VMs and container clusters, configure functions, and set up cloud storage with buckets and databases. Plus, learn how to use the built-in tools such as Alibaba Cloud Shell and the API Explorer to manage and automate resource deployment. Umfang: 01:58:49.00
Inhalt: Hadoop is indispensable when it comes to processing big data-as necessary to understanding your information as servers are to storing it. This course is your introduction to Hadoop; key file systems used with Hadoop; its processing engine, MapReduce, and its many libraries and programming tools. Developer and big-data consultant Lynn Langit shows how to set up a Hadoop development environment, run and optimize MapReduce jobs, code basic queries with Hive and Pig, and build workflows to schedule jobs. Plus, learn about the depth and breadth of available Apache Spark libraries available for use with a Hadoop cluster, as well as options for running machine learning jobs on a Hadoop cluster. Umfang: 04:06:25.00
Inhalt: Serverless architecture moves computing from physical servers to the cloud. This course provides a broad overview of the different types of design patterns available for serverless application development and deployment. Instructor Lynn Langit covers the core concepts behind serverless, including its costs, benefits, and risks. Then she reviews serverless services, including messaging, storage, streaming, payment processing, and deployment, and related solutions: AWS Lambda, Kinesis, Auth0, Kubernetes, and more. She reviews cloud-native architectures for serverless applications that incorporate third-party APIs, notifications, Internet of Things sensors, big data, and machine learning. Plus, learn about emergent architectures that support migration and hybrid serverless functionality. Each chapter is illustrated with real-world use cases that showcase the cost, scalability, and productivity benefits of serverless architecture in action. Umfang: 02:36:06.00
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