Most popular
DP-203T00-A: Data Engineering on Microsoft Azure
What you'll learn
Explore compute and storage options for data engineering workloads in Azure
Design and Implement the serving layer
Understand data engineering considerations
Run interactive queries using serverless SQL pools
Explore, transform, and load data into the Data Warehouse using Apache Spark
Perform data Exploration and Transformation in Azure Databricks
Ingest and load Data into the Data Warehouse
Transform Data with Azure Data Factory or Azure Synapse Pipelines
Integrate Data from Notebooks with Azure Data Factory or Azure Synapse Pipelines
Optimize Query Performance with Dedicated SQL Pools in Azure Synapse
Analyze and Optimize Data Warehouse Storage
Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
Perform end-to-end security with Azure Synapse Analytics
Perform real-time Stream Processing with Stream Analytics
Create a Stream Processing Solution with Event Hubs and Azure Databricks
Build reports using Power BI integration with Azure Synpase Analytics
Perform Integrated Machine Learning Processes in Azure Synapse Analytics
AI-102T00: Designing & Implementing An Azure AI Solution
What you'll learn
Describe considerations for AI-enabled application development
Create, configure, deploy, and secure Azure Cognitive Services
Develop applications that analyze text
Develop speech-enabled applications
Create applications with natural language understanding capabilities
Create QnA applications
Create conversational solutions with bots
Use computer vision services to analyze images and videos
Create custom computer vision models
Develop applications that detect, analyze, and recognize faces
Develop applications that read and process text in images and documents
Create intelligent search solutions for knowledge mining.
DevOps Engineering on AWS
What you'll learn
List the advantages of small DevOps teams
List the roles and responsibilities of the members of a typical small DevOps team
Leverage AWS Cloud9 to write, run and debug your code as well as share your cloud-based IDE with your dev team.
Build continuous integration/continuous delivery (CI/CD) pipelines including testing and security
Develop Git branching strategies and integrate with CI/CD pipeline for various environments
Use AWS CloudFormation to deploy development, test, and production environments for a software development project
Design and implement an infrastructure on AWS that supports DevOps development projects
Build a CI/CD pipeline for AWS CloudFormation templates
Establish collaboration by bringing together the workflows and responsibilities of development and operations
Host secure, highly scalable private Git repositories with AWS CodeCommit
Leverage Amazon Elastic Container Registry (Amazon ECR) to securely store Docker container images and integrate with AWS CodeBuild and Amazon Elastic Container Service (Amazon ECS).
Automate build, test, and packaging code with AWS CodeBuild
Integrate security in the CI/CD pipelines tools and services
Implement common deployment strategies such as “all at once,” “rolling,” and “blue/green”
Automate software deployments to Amazon Elastic Compute Cloud (Amazon EC2), on-premises computes, AWS ECS (Amazon EC2 /AWS Fargate), and AWS Lambda with AWS CodeDeploy
Automate your release pipelines (build, test, deploy) with AWS CodePipeline
Monitor an application and environment using AWS tools and technologies
PL-600 Power Platform Solution Architect
What you'll learn
Becoming a Solution Architect/Getting to know your customer
Conceptualizing the design from requirements
Project governance and working as a team
Power Platform Architecture
Data Modeling
Analytics and artificial intelligence
Power Apps Architecture
Application Lifecycle Management (ALM)
Power Automate Architecture
Security Modeling
Integration
Dynamics 365 Applications Architecture
Power Virtual Agents architecture
Robotic Process Automation
Testing and Go Live
Architecting on AWS
What you'll learn
Making decisions based on the AWS-recommended architectural principles and best practices
Leveraging AWS services to make your infrastructure scalable, reliable, and highly available
Leveraging AWS managed services to enable greater flexibility and resiliency in an infrastructure
Making an AWS-based infrastructure more efficient in order to increase performance and reduce costs
Using the Well-Architected Framework to improve architectures with AWS solutions
To reinforce this material, you will also explore case studies with a variety of AWS infrastructure designs and strategies.
After the course, you will be fully equipped to build and scale a more efficient and reliable IT solution on the AWS cloud environment.
Developing on AWS
What you'll learn
Set up the AWS SDK and developer credentials for Java, C#/.NET, Python, and JavaScript
Interact with AWS services and develop solutions by using the AWS SDK
Use AWS Identity and Access Management (IAM) for service authentication
Use Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB as data stores
Integrate applications and data by using AWS Lambda, Amazon API Gateway, Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), and AWS Step Functions
Use Amazon Cognito for user authentication
Use Amazon ElastiCache to improve application scalability
Leverage the CI/CD pipeline to deploy applications on AWS
Snowflake Fundamentals 4-Day
What you'll learn
Illustrate the unique and differentiated architecture of the Snowflake Cloud Data Platform
Load and transform data
Evaluate Query Constructs and DDL & DML Operations
Review Snowflakes broad SQL support for data analysis
Describe how user and application access can be easily managed
Demonstrate best practices for working with semi-structured data
Discuss how Snowflake provides a unique approach to caching Examine the various ways to connect and interact with the Snowflake Platform
Employ Snowflake’s method for continuous data protection
Utilize Data Sharing to send your data in real-time to Customers and Partners
Scale your Virtual Warehouse for performance and concurrency
Explain the different ways you can manage and monitor your Snowflake account
AWS Cloud Practitioner Essentials
What you'll learn
Differentiate between on-premises, hybrid-cloud, and all-in cloud
Describe the basic global infrastructure of the AWS Cloud
Explain the six benefits of the AWS Cloud
Describe and provide an example of the core AWS services, including compute, network, databases, and storage
Identify an appropriate solution using AWS Cloud services with various use cases
Describe the AWS Well-Architected Framework
Explain the shared responsibility model
Describe the core security services within the AWS Cloud
Describe the basics of AWS Cloud migration
Articulate the financial benefits of the AWS Cloud for an organization’s cost management
Define the core billing, account management, and pricing models
Explain how to use pricing tools to make cost-effective choices for AWS services
AWS Technical Essentials
What you'll learn
Terminology and concepts related to the AWS platform
How to navigate the AWS Management Console
Key concepts of AWS security measures and AWS Identity and Access Management (IAM)
Snowflake Advanced Training
What you'll learn
Evaluate Snowflakes advanced architectural concepts
Employ strategies and best practices for agile development
Discuss Snowflakes various ingestions methods for streaming data
Develop a methodology for performance tuning
Design a comprehensive program for ensuring user, network & data security
Share data in or outside of your organization securely
Trending
DP-203T00-A: Data Engineering on Microsoft Azure
What you'll learn
Explore compute and storage options for data engineering workloads in Azure
Design and Implement the serving layer
Understand data engineering considerations
Run interactive queries using serverless SQL pools
Explore, transform, and load data into the Data Warehouse using Apache Spark
Perform data Exploration and Transformation in Azure Databricks
Ingest and load Data into the Data Warehouse
Transform Data with Azure Data Factory or Azure Synapse Pipelines
Integrate Data from Notebooks with Azure Data Factory or Azure Synapse Pipelines
Optimize Query Performance with Dedicated SQL Pools in Azure Synapse
Analyze and Optimize Data Warehouse Storage
Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
Perform end-to-end security with Azure Synapse Analytics
Perform real-time Stream Processing with Stream Analytics
Create a Stream Processing Solution with Event Hubs and Azure Databricks
Build reports using Power BI integration with Azure Synpase Analytics
Perform Integrated Machine Learning Processes in Azure Synapse Analytics
AI-102T00: Designing & Implementing An Azure AI Solution
What you'll learn
Describe considerations for AI-enabled application development
Create, configure, deploy, and secure Azure Cognitive Services
Develop applications that analyze text
Develop speech-enabled applications
Create applications with natural language understanding capabilities
Create QnA applications
Create conversational solutions with bots
Use computer vision services to analyze images and videos
Create custom computer vision models
Develop applications that detect, analyze, and recognize faces
Develop applications that read and process text in images and documents
Create intelligent search solutions for knowledge mining.
DevOps Engineering on AWS
What you'll learn
List the advantages of small DevOps teams
List the roles and responsibilities of the members of a typical small DevOps team
Leverage AWS Cloud9 to write, run and debug your code as well as share your cloud-based IDE with your dev team.
Build continuous integration/continuous delivery (CI/CD) pipelines including testing and security
Develop Git branching strategies and integrate with CI/CD pipeline for various environments
Use AWS CloudFormation to deploy development, test, and production environments for a software development project
Design and implement an infrastructure on AWS that supports DevOps development projects
Build a CI/CD pipeline for AWS CloudFormation templates
Establish collaboration by bringing together the workflows and responsibilities of development and operations
Host secure, highly scalable private Git repositories with AWS CodeCommit
Leverage Amazon Elastic Container Registry (Amazon ECR) to securely store Docker container images and integrate with AWS CodeBuild and Amazon Elastic Container Service (Amazon ECS).
Automate build, test, and packaging code with AWS CodeBuild
Integrate security in the CI/CD pipelines tools and services
Implement common deployment strategies such as “all at once,” “rolling,” and “blue/green”
Automate software deployments to Amazon Elastic Compute Cloud (Amazon EC2), on-premises computes, AWS ECS (Amazon EC2 /AWS Fargate), and AWS Lambda with AWS CodeDeploy
Automate your release pipelines (build, test, deploy) with AWS CodePipeline
Monitor an application and environment using AWS tools and technologies
PL-600 Power Platform Solution Architect
What you'll learn
Becoming a Solution Architect/Getting to know your customer
Conceptualizing the design from requirements
Project governance and working as a team
Power Platform Architecture
Data Modeling
Analytics and artificial intelligence
Power Apps Architecture
Application Lifecycle Management (ALM)
Power Automate Architecture
Security Modeling
Integration
Dynamics 365 Applications Architecture
Power Virtual Agents architecture
Robotic Process Automation
Testing and Go Live
Architecting on AWS
What you'll learn
Making decisions based on the AWS-recommended architectural principles and best practices
Leveraging AWS services to make your infrastructure scalable, reliable, and highly available
Leveraging AWS managed services to enable greater flexibility and resiliency in an infrastructure
Making an AWS-based infrastructure more efficient in order to increase performance and reduce costs
Using the Well-Architected Framework to improve architectures with AWS solutions
To reinforce this material, you will also explore case studies with a variety of AWS infrastructure designs and strategies.
After the course, you will be fully equipped to build and scale a more efficient and reliable IT solution on the AWS cloud environment.
Developing on AWS
What you'll learn
Set up the AWS SDK and developer credentials for Java, C#/.NET, Python, and JavaScript
Interact with AWS services and develop solutions by using the AWS SDK
Use AWS Identity and Access Management (IAM) for service authentication
Use Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB as data stores
Integrate applications and data by using AWS Lambda, Amazon API Gateway, Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), and AWS Step Functions
Use Amazon Cognito for user authentication
Use Amazon ElastiCache to improve application scalability
Leverage the CI/CD pipeline to deploy applications on AWS
Snowflake Fundamentals 4-Day
What you'll learn
Illustrate the unique and differentiated architecture of the Snowflake Cloud Data Platform
Load and transform data
Evaluate Query Constructs and DDL & DML Operations
Review Snowflakes broad SQL support for data analysis
Describe how user and application access can be easily managed
Demonstrate best practices for working with semi-structured data
Discuss how Snowflake provides a unique approach to caching Examine the various ways to connect and interact with the Snowflake Platform
Employ Snowflake’s method for continuous data protection
Utilize Data Sharing to send your data in real-time to Customers and Partners
Scale your Virtual Warehouse for performance and concurrency
Explain the different ways you can manage and monitor your Snowflake account
AWS Cloud Practitioner Essentials
What you'll learn
Differentiate between on-premises, hybrid-cloud, and all-in cloud
Describe the basic global infrastructure of the AWS Cloud
Explain the six benefits of the AWS Cloud
Describe and provide an example of the core AWS services, including compute, network, databases, and storage
Identify an appropriate solution using AWS Cloud services with various use cases
Describe the AWS Well-Architected Framework
Explain the shared responsibility model
Describe the core security services within the AWS Cloud
Describe the basics of AWS Cloud migration
Articulate the financial benefits of the AWS Cloud for an organization’s cost management
Define the core billing, account management, and pricing models
Explain how to use pricing tools to make cost-effective choices for AWS services
AWS Technical Essentials
What you'll learn
Terminology and concepts related to the AWS platform
How to navigate the AWS Management Console
Key concepts of AWS security measures and AWS Identity and Access Management (IAM)
Snowflake Advanced Training
What you'll learn
Evaluate Snowflakes advanced architectural concepts
Employ strategies and best practices for agile development
Discuss Snowflakes various ingestions methods for streaming data
Develop a methodology for performance tuning
Design a comprehensive program for ensuring user, network & data security
Share data in or outside of your organization securely
All Cloud Courses
Best Cloud Computing Training Courses Online - Live
Cloud technology makes it possible to access IT infrastructure, platforms, and services from anywhere, anytime. With the “pay-as-you-go” business model, companies don’t need to make huge investments in IT infrastructure anymore. This system shift makes it imperative for your IT team to be cloud-savvy. We offer a wide variety of courses in cloud platforms, like Azure and AWS, that will bring them up-to-date and/or hone their existing skills.
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CompTIA Cloud+
Course Description While IT professionals today are expected to understand …
What you'll learn
Prepare to deploy cloud solutions.
Deploy a pilot project.
Test a pilot project deployment.
Design a secure network for cloud deployment.
Determine CPU and memory sizing for cloud deployments.
Determine storage requirements for cloud deployments.
Plan Identity and Access Management for cloud deployments.
Analyze workload characteristics to ensure a successful migration to the cloud.
Secure systems to meet access requirements.
Maintain cloud systems.
Implement backup, restore, and business continuity measures.
Analyze cloud systems for the required performance.
Analyze cloud systems for anomalies and growth forecasting.
Troubleshoot deployment, capacity, automation, and orchestration issues.
Troubleshoot connectivity issues.
Troubleshoot security issues.
Cloud Operations on AWS
Cloud Operations on AWS is a three-day, instructor-led classroom course. …
What you'll learn
Identify the AWS services that support the different phases of Operational Excellence, an AWS Well-Architected Framework pillar
Manage access to AWS resources using AWS accounts and organizations and AWS Identity and Access Management (IAM)
Maintain an inventory of in-use AWS resources by using AWS services, such as AWS Systems Manager, AWS CloudTrail, and AWS Config
Develop a resource deployment strategy using metadata tags, Amazon Machine Images (AMIs), and AWS Control Tower to deploy and maintain an AWS cloud environment Objectives
AWS Technical Essentials
Course Description In this introductory course, you will learn about …
What you'll learn
Terminology and concepts related to the AWS platform
How to navigate the AWS Management Console
Key concepts of AWS security measures and AWS Identity and Access Management (IAM)
