In this course, you will learn the benefits and technical concepts of AWS X-Ray. Using X-Ray, developers and operators can analyze the behavior of their distributed production applications with end-to-end tracing capabilities. X-Ray helps to identify performance bottlenecks, edge case errors, and other hard-to-detect issues.

225+ AZ-104 Microsoft Azure Administrator Questions in TIMED mode, REVIEW mode, SECTION-BASED, and FINAL TEST mode with Explanations, Reference Links, Score Tracking, Plus BONUS Flashcards

120+ AZ-305 Designing Microsoft Azure Infrastructure Solutions Questions in TIMED mode, REVIEW mode, SECTION-BASED, and FINAL TEST mode with Explanations, Reference Links, Plus Score Tracking

110+ AZ-500 Microsoft Azure Security Engineer Associate Questions in TIMED mode, REVIEW mode, SECTION-BASED, and FINAL TEST mode with Explanations, Reference Links, Plus Score Tracking

150+ AZ-900 Microsoft Azure Fundamentals Questions in TIMED mode, REVIEW mode, SECTION-BASED, and FINAL TEST mode with Explanations, Reference Links, Score Tracking, Plus BONUS Flashcards

⛔️ This has been decommissioned by AWS.

Alternatively, you can use the course from the AWS Skill Builder site by going to this link: https://explore.skillbuilder.aws/learn/course/external/view/elearning/14077/getting-started-with-amazon-detective

Building a Generative AI-Ready Organization is the last course in a three-part series of Generative AI Essentials for Business and Technical Decision Makers.

This course focuses on business leaders and other decision-makers currently or potentially involved in ML projects.

This course provides an overview of the options available to customers for building generative AI applications on AWS. The course will specifically focus on leveraging foundational models on Amazon SageMaker Jumpstart to build generative AI applications.

​In this course, you will learn how to choose the most suitable serverless container technology to run your .NET applications and workloads. Specifically, you will learn about the key features and benefits of AWS Fargate, AWS App Runner, and AWS Lambda.

In this course, you will learn the fundamental concepts of cloud computing and how a cloud strategy can help companies in the financial services industries (FSI) meet business objectives. It explores the advantages and possibilities of cloud computing in banking, insurance, capital markets, payments, and financial technology. The course addresses concepts such as security, fraud detection, analytics, and compliance to help facilitate discussions with line of business (LOB) professionals, information technology (IT) leaders, and executives.

In this course, you will learn the fundamental concepts of cloud computing and how a cloud strategy can help companies meet business objectives. It explores the advantages and possibilities of cloud computing. It also introduces addresses concepts such as security and compliance to help facilitate better discussions with line of business (LOB) professionals, information technology (IT) LoB, IT leaders, and executives.

In this course, we will discuss the benefits of using the GluonCV toolkit.

In this self-paced course, you will learn about the process for planning data analysis solutions and the various data analytic processes that are involved. This course takes you through five key factors that indicate the need for specific AWS services in collecting, processing, analyzing, and presenting your data. This includes learning basic architectures, value propositions, and potential use cases. The course introduces you to the AWS services and solutions to help you build and enhance data analysis solutions.

In this course, you’ll build, train, and test a machine learning model from the ground up! Here, you clean data, conduct feature engineering, compare algorithms, and get a firsthand look at how Amazon employees working with machine learning approach ML pipelines.

In this course, you will explore the generative artificial intelligence (generative AI) application lifecycle.

In this machine learning course, you will learn about the machine learning lifecycle, and how to use AWS services at every stage. Additionally, you will discover the diverse sources for machine learning models and learn techniques to evaluate their performance. You will also understand the importance of machine learning operations (MLOps) in streamlining the development and deployment of your machine learning projects.

In this course, you will be introduced to the fundamentals of crafting effective prompts. You will gain an understanding of how to refine and optimize prompts for a range of use cases. You will also explore techniques like zero-shot, few-shot, and chain-of-thought prompting. Finally, you will learn to identify potential risks associated with prompt engineering.

⛔️ This has been decommissioned by AWS.

Alternatively, you can use the course from the AWS Skill Builder site by going to this link: https://explore.skillbuilder.aws/learn/public/learning_plan/view/97/data-analytics-learning-plan

The AWS Certified Data Analytics – Specialty exam validates technical skills and experience which reflect your understanding of a breadth of AWS data analytics services and your ability to use data analytics technologies to drive business transformation in your organization.