Discover ways to craft effective and contextual prompts for Microsoft 365 Copilot that create, simplify, transform, and compile content across Microsoft 365 applications. Learn the importance of providing a clear goal, context, source, and expectation in your prompt for the best results. This course covers real world scenarios and examples using Copilot in Microsoft 365 apps like Word, Excel, PowerPoint, Teams, Outlook, OneNote, and Chat.

The CPSA course leads to the CREST Practitioner Security Analyst (CPSA) examination, which is an entry level qualification that tests a candidate’s knowledge in assessing operating systems and common network services at a basic level below that; of the main CRT and CCT qualifications

In this course, you will learn how to: Evaluate the relationship between Amazon Redshift and other Big Data systems Evaluate use cases for data warehousing workloads and review real-world implementation of AWS data and analytic services as part of a data warehousing solution Choose an appropriate Amazon Redshift node type and size for your data needs Understand which security features are appropriate for Amazon Redshift, such as encryption, IAM permissions, and database permissions.

In this course, you will learn how to: Define machine learning (ML) and deep learning Identify the concepts in a deep learning ecosystem Leverage Amazon SageMaker and MXNet programming frameworks for deep learning workloads Fit AWS solutions for deep learning deployments

Gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline. This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.

Describe the considerations for developing AI applications Create, configure, deploy, and secure Azure Cognitive Services To develop applications that analyze text Develop speech-enabled applications To create applications with natural language understanding capabilities To create QnA applications To create conversational solutions with bots Use computer vision services to analyze images and videos Create custom computer vision models To develop applications that detect, analyze and recognize faces To devel

This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern.

This course teaches experienced developers how to programmatically interact with AWS services to build web solutions. It guides you through a high-level architectural discussion on resource selection and dives deep into using the AWS Software Development Kits (AWS SDKs) and Command Line Interface (AWS CLI) to build and deploy your cloud applications. You will build a sample application during this course, learning how to set up permissions to the development environment.

This course teaches developers how to create end-to-end solutions in Microsoft Azure. Students will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities. Students will also learn how to connect to and consume Azure services and third-party services,

In this course, you will learn to: Use DevOps best practices to develop, deliver, and maintain applications and services at high velocity on AWS List the advantages, roles, and responsibilities of small, autonomous DevOps teams Design and implement an infrastructure on AWS that supports DevOps development projects Leverage AWS Cloud9 to write, run, and debug your code Deploy various environments with AWS CloudFormation Host secure.