Efficient Cloud Infrastructure with AWS Cloud9 Training Course
This advanced course provides a deep dive into managing cloud infrastructure using AWS Cloud9 and the AWS Cloud Development Kit (CDK). Participants will learn how to design, automate, and optimize cloud environments, leveraging best practices for building scalable and efficient infrastructure in AWS.
This instructor-led, live training (online or onsite) is aimed at advanced-level cloud professionals who wish to master cloud infrastructure management and automation using AWS Cloud9 and AWS CDK.
By the end of this training, participants will be able to:
- Set up and configure AWS Cloud9 for infrastructure management.
- Understand and apply AWS CDK to automate cloud resource provisioning.
- Design efficient and scalable cloud infrastructure solutions.
- Optimize cloud resources to improve performance and reduce costs.
- Implement advanced security and compliance strategies in AWS infrastructure.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction to AWS Cloud9 and CDK
- Overview of AWS Cloud9 IDE and its capabilities
- Introduction to AWS Cloud Development Kit (CDK)
- Setting up the environment
Designing Cloud Infrastructure with AWS CDK
- Understanding AWS CDK constructs
- Creating infrastructure stacks with CDK
- Deploying CDK applications
Automating Infrastructure Provisioning
- Using AWS CDK to automate resource creation
- Working with CloudFormation templates
- Managing and versioning infrastructure code
Optimizing Cloud Resources for Efficiency
- Cost optimization strategies
- Resource scaling and load balancing
- Monitoring and optimizing performance
Securing Cloud Infrastructure
- Implementing IAM roles and policies
- Securing network and data layers
- Encryption and compliance best practices
Advanced Infrastructure Design Patterns
- Designing for fault tolerance and high availability
- Multi-region and multi-account strategies
- Containerizing infrastructure with ECS and EKS
Deploying Infrastructure as Code (IaC) in Production
- Deploying infrastructure changes safely
- Continuous integration and delivery (CI/CD) with AWS
- Maintaining infrastructure over time
Summary and Next Steps
Requirements
- Understanding of cloud architecture principles
- Experience with AWS services and cloud management
- Proficiency in Python or TypeScript
Audience
- Cloud architects
- Infrastructure engineers
- DevOps professionals
Open Training Courses require 5+ participants.
Efficient Cloud Infrastructure with AWS Cloud9 Training Course - Booking
Efficient Cloud Infrastructure with AWS Cloud9 Training Course - Enquiry
Efficient Cloud Infrastructure with AWS Cloud9 - Consultancy Enquiry
Consultancy Enquiry
Testimonials (5)
Trainer had good grasp of concepts
Josheel - Verizon Connect
Course - Amazon Redshift
The practice part.
Radu - Ness Digital Engineering
Course - AWS: A Hands-on Introduction to Cloud Computing
The trainer knew exactly what they were speaking about.
Madumetsa Msomi - BMW
Course - AWS DevOps Engineers
All good, nothing to improve
Ievgen Vinchyk - GE Medical Systems Polska Sp. Z O.O.
Course - AWS Lambda for Developers
IOT applications
Palaniswamy Suresh Kumar - Makers' Academy
Course - Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「4 Hours Remote」
Upcoming Courses
Related Courses
Advanced Amazon Web Services (AWS) CloudFormation
7 HoursThis instructor-led, live training in Norway (online or onsite) is aimed at cloud engineers and developers who wish to use CloudFormation to manage infrastructure resources within the AWS ecosystem.
By the end of this training, participants will be able to:
- Implement CloudFormation templates to automate infrastructure management.
- Integrate existing AWS resources into CloudFormation.
- Use StackSets to manage stacks across multiple accounts and regions.
Amazon Redshift
21 HoursAmazon Redshift is a petabyte-scale cloud-based data warehouse service in AWS.
In this instructor-led, live training, participants will learn the fundamentals of Amazon Redshift.
By the end of this training, participants will be able to:
- Install and configure Amazon Redshift
- Load, configure, deploy, query, and visualize data with Amazon Redshift
Audience
- Developers
- IT Professionals
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
AWS Architect Certification
21 HoursOn demand AWS Architect Certification training course is designed to help professionals to become cloud-enabled using Amazon Web Services. This course is taught with real life examples, helps participants understand the practical application of concepts such as fundamentals of cloud computing, Amazon Web services (AWS), Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), Private Clouds and Cloud programming. After this course participants will be able to have their own implementations on cloud using EC2 instances, S3 buckets etc.
Amazon DynamoDB for Developers
14 HoursThis instructor-led, live training in Norway (online or onsite) is aimed at developers who wish to integrate a DynamoDB NoSQL database into a web application hosted on AWS.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start integrating data into DynamoDB.
- Integrate DynamoDB into web applications and mobile applications.
- Move data in AWS with AWS services.
- Implement operations with AWS DAX.
AWS DevOps Engineers
21 HoursAudience:
Cloud engineers, Solution architects, Centre of excellence team, Window server administrators, Unix/Linux administrator, Storage administrators, network administrators, Virtualization administrators
Course Objectives:
This course is designed to teach you how to:
- Use the principal concepts and practices behind the DevOps methodology
- Design and implement an infrastructure on AWS that supports one or more DevOps development projects
- Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
- Use AWS CodeCommit and understand the array of options for enabling a Continuous Integration environment on AWS
- Use AWS CodePipeline to design and implement a Continuous Integration and Delivery pipeline on AWS
- Implement several common Continuous Deployment use cases using AWS technologies, including blue/green deployment and A/B testing
- Distinguish between the array of application deployment technologies available on AWS (including AWS CodeDeploy, AWS Opsworks, AWS Elastic Beanstalk, Amazon EC2 Container Service, and Amazon EC2 Container Registry), and decide which technology best fits a given scenario
- Fine tune the applications you deliver on AWS for high performance and use AWS tools and technologies to monitor your application and environment for potential issues
AWS Developer Associate
28 HoursThis 4 day course will provide:
- An understanding of the Core AWS services, uses, and basic architecture best practices.
- Proficiency in designing, developing, and deploying cloud-based solutions using AWS.
- Experience with developing and maintaining applications written for Amazon Simple Storage Service, Amazon DynamoDB, Amazon Simple Queue Service, Amazon Simple Notification Service, Amazon Simple Workflow Service, AWS Elastic Beanstalk, and AWS CloudFormation.
Audience:
Cloud engineers, Centre of excellence team, Window server administrators, Unix/Linux administrator, Storage administrators, Network administrators , Virtualization administrators.
On Completion of this training programme participants should able to deploy and use AWS services from a Developer standpoint.
AWS IoT Core
14 HoursThis instructor-led, live training in Norway (onsite or remote) is aimed at engineers who wish to deploy and manage IoT devices on AWS.
By the end of this training, participants will be able to build an IoT platform that includes the deployment and management of a backend, gateway, and devices on top of AWS.
Amazon Web Services (AWS) IoT Greengrass
21 HoursThis instructor-led, live training in Norway (online or onsite) is aimed at developers who wish to install, configure, and manage AWS IoT Greengrass capabilities to create applications for various devices.
By the end of this training, participants will be able to use AWS IoT Greengrass to build, deploy, manage, secure, and monitor applications on intelligent devices.
AWS Lambda for Developers
14 HoursThis instructor-led, live training in Norway (onsite or remote) is aimed at developers who wish to use AWS Lambda to build and deploy services and applications to the cloud, without needing to worry about provisioning the execution environment (servers, VMs and containers, availability, scalability, storage, etc.).
By the end of this training, participants will be able to:
- Configure AWS Lambda to execute a function.
- Understand FaaS (Functions as a Service) and the advantages of serverless development.
- Build, upload and execute AWS Lambda functions.
- Integrate Lambda functions with different event sources.
- Package, deploy, monitor and troubleshoot Lambda based applications.
AWS: A Hands-on Introduction to Cloud Computing
7 HoursThis instructor-led, live training in Norway provides an overview of AWS products, services and solutions. It is aimed at individuals and teams who are:
- evaluating/preparing for an initial deployment of their IT infrastructure on AWS.
- evaluating/preparing to migrate their existing IT infrastructure to the AWS public cloud.
By the end of this training, participants will have a clear understanding of the principal components that make up Amazon's cloud offering. The hands-on exercises, discussions and in-class deployments will provide participants with the practice and feedback they need to feel comfortable and prepared to carry out their own live deployments to AWS.
AWS CloudFormation
7 HoursThis instructor-led, live training in Norway (online or onsite) is aimed at engineers who wish to use AWS CloudFormation to automate the process of managing AWS cloud infrastructure.
By the end of this training, participants will be able to:
- Enable AWS services to get started managing infrastructure.
- Understand and apply the principle of "infrastructure as code".
- Improve quality and lower the costs of deploying infrastructure.
- Write AWS CloudFormation Templates using YAML.
Mastering DevOps with AWS Cloud9
21 HoursThis instructor-led, live training in Norway (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of DevOps practices and streamline development processes using AWS Cloud9.
By the end of this training, participants will be able to:
- Set up and configure AWS Cloud9 for DevOps workflows.
- Implement continuous integration and continuous delivery (CI/CD) pipelines.
- Automate testing, monitoring, and deployment processes using AWS Cloud9.
- Integrate AWS services such as Lambda, EC2, and S3 into DevOps workflows.
- Utilize source control systems like GitHub or GitLab within AWS Cloud9.
Developing Serverless Applications on AWS Cloud9
14 HoursThis instructor-led, live training in Norway (online or onsite) is aimed at intermediate-level professionals who wish to learn how to effectively build, deploy, and maintain serverless applications on AWS Cloud9 and AWS Lambda.
By the end of this training, participants will be able to:
- Understand the fundamentals of serverless architecture.
- Set up AWS Cloud9 for serverless application development.
- Develop, test, and deploy serverless applications using AWS Lambda.
- Integrate AWS Lambda with other AWS services such as API Gateway and S3.
- Optimize serverless applications for performance and cost efficiency.
Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「4 Hours Remote」
4 HoursSummery:
- Basics of IoT architecture and functions
- “Things”, “Sensors”, Internet and the mapping between business functions of IoT
- Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
- IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
- Basics of IoT device communication with cloud with MQTT.
- Connecting IoT devices to AWS with MQTT (AWS IoT Core).
- Connecting AWS IoT core with AWS Lambda function for computation and data storage.
- Connecting Raspberry PI with AWS IoT core and simple data communication.
- Alerts and events
- Sensor calibration
Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「8 Hours Remote」
8 HoursSummary:
- Basics of IoT architecture and functions
- “Things”, “Sensors”, Internet and the mapping between business functions of IoT
- Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
- IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
- Basics of IoT device communication with cloud with MQTT.
- Connecting IoT devices to AWS with MQTT (AWS IoT Core).
- Connecting AWS IoT core with AWS Lambda function for computation and data storage using DynamoDB.
- Connecting Raspberry PI with AWS IoT core and simple data communication.
- Hands on with Raspberry PI and AWS IoT Core to build a smart device.
- Sensor data visualization and communication with web interface.