Most popular
AWS Technical Essentials
8 hours
Intermediate
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 Fundamentals 4-Day
61 Lessons
32 hours
Intermediate
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
Developing on AWS
79 Lessons
24 hours
Intermediate
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
Systems Operations on AWS
24 hours
Intermediate
What you'll learn
Use standard AWS infrastructure features such as Amazon Virtual Private Cloud (Amazon VPC), Amazon Elastic Compute Cloud (Amazon EC2), Elastic Load Balancing (ELB), and AWS Auto Scaling from the command line
Use AWS CloudFormation and other automation technologies to produce stacks of AWS resources
Build virtual private networks with Amazon VPC
Deploy Amazon EC2 instances using command line calls and troubleshoot common problems with instances
Monitor the health of Amazon EC2 instances and other AWS services
Manage identity, AWS permissions, and security in the AWS Cloud
Manage resource consumption in an AWS account using tags, Amazon CloudWatch, and AWS Trusted Advisor
Determine the best strategy for creating reusable Amazon EC2 instances
Configure a set of Amazon EC2 instances that launch behind a load balancer
Troubleshoot a basic AWS CloudFormation stack definition
Snowflake Advanced Training
24 hours
Intermediate
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
AWS Cloud Practitioner Essentials
58 Lessons
8 hours
Intermediate
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
CompTIA Cloud+
40 hours
Beginner
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.
Snowflake Data Science Training
44 Lessons
24 hours
Intermediate
What you'll learn
Collect and access data from Snowflake Data Marketplace and other sources
Manage and architect data lakes and real time streams
Employ Snowflake best practices for developing or querying semi-structured and other data types
Work with supervised and unsupervised machine learning models using some of the most relevant open source framework and libraries
Formulate data science and machine learning workflow and data pipelines
Manage and deploy machine learning models at scale with APIs
Visualize and collaborate on machine learning results
DP-300T00: Administering Microsoft Azure SQL Solutions
22 Lessons
32 hours
Intermediate
What you'll learn
Plan, deploy and configure Azure SQL offerings
Monitor database performance and tune a database and queries for optimum performance
Plan and configure a High Availability Solution
CompTIA Cloud Essentials+
16 Lessons
16 hours
Beginner
Trending
AWS Technical Essentials
8 hours
Intermediate
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 Fundamentals 4-Day
61 Lessons
32 hours
Intermediate
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
Developing on AWS
79 Lessons
24 hours
Intermediate
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
Systems Operations on AWS
24 hours
Intermediate
What you'll learn
Use standard AWS infrastructure features such as Amazon Virtual Private Cloud (Amazon VPC), Amazon Elastic Compute Cloud (Amazon EC2), Elastic Load Balancing (ELB), and AWS Auto Scaling from the command line
Use AWS CloudFormation and other automation technologies to produce stacks of AWS resources
Build virtual private networks with Amazon VPC
Deploy Amazon EC2 instances using command line calls and troubleshoot common problems with instances
Monitor the health of Amazon EC2 instances and other AWS services
Manage identity, AWS permissions, and security in the AWS Cloud
Manage resource consumption in an AWS account using tags, Amazon CloudWatch, and AWS Trusted Advisor
Determine the best strategy for creating reusable Amazon EC2 instances
Configure a set of Amazon EC2 instances that launch behind a load balancer
Troubleshoot a basic AWS CloudFormation stack definition
Snowflake Advanced Training
24 hours
Intermediate
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
AWS Cloud Practitioner Essentials
58 Lessons
8 hours
Intermediate
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
CompTIA Cloud+
40 hours
Beginner
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.
Snowflake Data Science Training
44 Lessons
24 hours
Intermediate
What you'll learn
Collect and access data from Snowflake Data Marketplace and other sources
Manage and architect data lakes and real time streams
Employ Snowflake best practices for developing or querying semi-structured and other data types
Work with supervised and unsupervised machine learning models using some of the most relevant open source framework and libraries
Formulate data science and machine learning workflow and data pipelines
Manage and deploy machine learning models at scale with APIs
Visualize and collaborate on machine learning results
DP-300T00: Administering Microsoft Azure SQL Solutions
22 Lessons
32 hours
Intermediate
What you'll learn
Plan, deploy and configure Azure SQL offerings
Monitor database performance and tune a database and queries for optimum performance
Plan and configure a High Availability Solution
CompTIA Cloud Essentials+
16 Lessons
16 hours
Beginner
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+
40 hours
Beginner
Course Description While IT professionals today are expected to understand …
$2,845.00
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.