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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
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.
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.
Intermediate
AWS Certification Exam Readiness Workshop: AWS Certified Solutions Architect – Professional
$695.00
AWS Certification Exam Readiness Workshop: AWS Certified Solutions Architect – Professional
What you'll learn
Content domains and how AWS services map to them
Combine multiple AWS services to solve complex architectural requirements
Advanced concepts of core AWS services and associated use cases
Identify how questions are written to test AWS architectural concepts
Architecting on AWS – Accelerator
What you'll learn
Make architectural decisions based on AWS architectural principles and best practices
Use AWS services to make your infrastructure scalable, reliable, and highly available
Use AWS Managed Services to enable greater flexibility and resiliency in an infrastructure
Make an AWS-based infrastructure more efficient to increase performance and reduce costs
Use the Well Architected Framework to improve architectures with AWS solutions
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
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 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
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
Systems Operations on AWS
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
Trending
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 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
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
Systems Operations on AWS
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
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
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+
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
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
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
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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AI-102T00: Designing & Implementing An Azure AI Solution
Course Description: AI-102 Designing and 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.
AZ-305T00: Designing Microsoft Azure Infrastructure Solutions
Course Description: Course topics cover governance, compute, application architecture, storage, …
What you'll learn
Design a governance solution.
Design a compute solution.
Design an application architecture.
Design storage, non-relational and relational.
Design data integration solutions.
Design authentication, authorization, and identity solutions.
Design network solutions.
Design backup and disaster recovery solutions.
Design monitoring solutions.
Design migration solutions.
AI-900T00: Microsoft Azure AI Fundamentals
Course Description: AI-102 Designing and Implementing an Azure AI Solution …
What you'll learn
Describe Artificial Intelligence workloads and considerations.
Describe fundamental principles of machine learning on Azure.
Describe features of computer vision workloads on Azure
Describe features of Natural Language Processing (NLP) workloads on Azure
Describe features of conversational AI workloads on Azure
AZ-700: Designing and Implementing Microsoft Azure Networking Solutions
Course Description: This course covers the process of designing, implementing, …
What you'll learn
Azure Virtual Networks
Design and Implement Hybrid Networking
Design and implement Azure ExpressRoute
Load balancing non-HTTP(S) traffic in Azure
Load balancing HTTP(S) traffic in Azure
Design and implement network security
Design and implement private access to Azure Services
Architecting on AWS – Accelerator
Course Description This course combines Architecting on AWS and Advanced …
What you'll learn
Make architectural decisions based on AWS architectural principles and best practices
Use AWS services to make your infrastructure scalable, reliable, and highly available
Use AWS Managed Services to enable greater flexibility and resiliency in an infrastructure
Make an AWS-based infrastructure more efficient to increase performance and reduce costs
Use the Well Architected Framework to improve architectures with AWS solutions
Architecting on AWS
Course Description In this authorized Amazon Web Services (AWS) course, …
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.
DevOps Engineering on AWS
Manage a variety of DevOps Philosophies with DevOps Engineering on …
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
DP-203T00-A: Data Engineering on Microsoft Azure
Course Description: In this course, the student will learn about …
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
