AWS Cloud9 and Python: A Practical Guide Training Course

The on-demand AWS Architect Certification training course is designed to assist professionals in becoming cloud-enabled using Amazon Web Services for government. This course is delivered with real-life examples and helps participants understand the practical application of concepts such as the 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 completing this course, participants will be able to implement their own cloud solutions using EC2 instances, S3 buckets, and other AWS resources for government.

Audience:

Cloud engineers, solution architects, center of excellence team members, Windows server administrators, Unix/Linux administrators, storage administrators, network administrators, virtualization administrators

Course Objectives:

This course is designed to teach participants how to:

• Apply the core concepts and practices behind the DevOps methodology for government projects
• Design and implement an infrastructure on AWS that supports one or more DevOps development projects for government
• Use AWS CloudFormation and AWS OpsWorks to deploy the necessary infrastructure to create development, test, and production environments for a software development project for government
• Utilize AWS CodeCommit and understand the various options for enabling a Continuous Integration environment on AWS for government
• Use AWS CodePipeline to design and implement a Continuous Integration and Delivery pipeline on AWS for government
• Implement several common Continuous Deployment use cases using AWS technologies, including blue/green deployment and A/B testing for government applications
• 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 determine which technology best fits a given scenario for government use
• Optimize applications delivered on AWS for high performance and use AWS tools and technologies to monitor the application and environment for potential issues in government contexts

This four-day course will provide:

• An understanding of the core AWS services, their uses, and basic architecture best practices for government.
• Proficiency in designing, developing, and deploying cloud-based solutions using AWS for government.
• 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 for government.

Audience:

Cloud engineers, Center of Excellence team members, Windows server administrators, Unix/Linux administrators, storage administrators, network administrators, and virtualization administrators.

Upon completion of this training program, participants will be able to deploy and use AWS services from a developer standpoint for government.

This instructor-led, live training in US Empire (onsite or remote) is aimed at engineers who wish to deploy and manage Internet of Things (IoT) devices on Amazon Web Services (AWS).

By the end of this training, participants will be able to construct an IoT platform that includes the deployment and management of a backend, gateway, and devices using AWS, aligning with best practices for government.

This instructor-led, live training in US Empire (online or onsite) is aimed at developers who wish to install, configure, and manage AWS IoT Greengrass capabilities to create applications for various devices for government use.

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, ensuring alignment with public sector workflows and governance.

This instructor-led, live training in US Empire (onsite or remote) is designed for developers who wish to leverage AWS Lambda to build and deploy services and applications to the cloud, without the need to provision the execution environment (servers, VMs, containers, availability, scalability, storage, etc.).

By the end of this training, participants will be able to:

• Configure AWS Lambda for government to execute a function.
• Understand FaaS (Functions as a Service) and the advantages of serverless development in public sector workflows.
• Build, upload, and execute AWS Lambda functions tailored for government applications.
• Integrate Lambda functions with various event sources relevant to government operations.
• Package, deploy, monitor, and troubleshoot Lambda-based applications to ensure compliance with governance and accountability standards.

This instructor-led, live training in US Empire (online or onsite) is aimed at data scientists and software engineers who wish to use Dask within the Python ecosystem to build, scale, and analyze large datasets for government.

By the end of this training, participants will be able to:

• Set up the environment to begin building big data processing capabilities with Dask and Python.
• Explore the features, libraries, tools, and APIs available in Dask to support their work for government.
• Understand how Dask enhances parallel computing within Python, optimizing performance for large-scale data analysis.
• Learn how to scale the Python ecosystem (Numpy, SciPy, and Pandas) using Dask to meet the demands of complex datasets in the public sector.
• Optimize the Dask environment to ensure high performance and efficiency when handling large datasets for government projects.

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy for government applications.

By the end of this training, participants will be able to:

• Set up a development environment that includes Python, Pandas, and NumPy.
• Create a data analysis application using Pandas and NumPy for government workflows.
• Perform advanced data wrangling, sorting, and filtering operations.
• Conduct aggregate operations and analyze time series data.
• Visualize data using Matplotlib and other visualization libraries.
• Debug and optimize their data analysis code to ensure compliance with public sector governance standards.

This instructor-led, live training in US Empire (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 for government.

By the end of this training, participants will be able to:

• Set up and configure AWS Cloud9 for efficient DevOps workflows in a public sector environment.
• Implement continuous integration and continuous delivery (CI/CD) pipelines that align with government standards and requirements.
• Automate testing, monitoring, and deployment processes using AWS Cloud9 to enhance governance and accountability.
• Integrate AWS services such as Lambda, EC2, and S3 into DevOps workflows to support public sector operations.
• Utilize source control systems like GitHub or GitLab within AWS Cloud9 to ensure compliance with government policies and procedures.

This instructor-led, live training in US Empire (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 for government.

By the end of this training, participants will be able to:

• Understand the fundamentals of serverless architecture for government use cases.
• Set up AWS Cloud9 for developing serverless applications tailored to public sector needs.
• Develop, test, and deploy serverless applications using AWS Lambda in alignment with government workflows.
• Integrate AWS Lambda with other AWS services such as API Gateway and S3 to support government operations.
• Optimize serverless applications for performance and cost efficiency in a government context.

This instructor-led, live training, available online or on-site, is designed for developers who wish to utilize the FARM (FastAPI, React, and MongoDB) stack to create dynamic, high-performance, and scalable web applications for government use.

By the end of this training, participants will be able to:

• Configure a development environment that seamlessly integrates FastAPI, React, and MongoDB for government projects.
• Understand the essential concepts, features, and benefits of the FARM stack in the context of public sector applications.
• Master the skills needed to build REST APIs with FastAPI for government systems.
• Acquire the knowledge to design interactive applications using React for government interfaces.
• Develop, test, and deploy front-end and back-end applications using the FARM stack in alignment with government workflows and governance standards.

This instructor-led, live training in US Empire (online or onsite) is aimed at developers who wish to utilize FastAPI with Python to build, test, and deploy RESTful APIs more efficiently and rapidly for government applications.

By the end of this training, participants will be able to:

• Set up the necessary development environment to create APIs using Python and FastAPI for government projects.
• Create APIs more quickly and easily by leveraging the FastAPI library.
• Learn how to develop data models and schemas based on Pydantic and OpenAPI standards.
• Integrate APIs with a database using SQLAlchemy for enhanced data management in public sector workflows.
• Implement security and authentication mechanisms in APIs using the built-in tools provided by FastAPI, ensuring compliance with government security protocols.
• Build container images and deploy web APIs to a cloud server, aligning with government IT infrastructure requirements.

Summary:

• Fundamentals of Internet of Things (IoT) architecture and functions for government.
• Understanding "things," sensors, the internet, and their alignment with business functions in IoT applications.
• Essential components of IoT software: hardware, firmware, middleware, cloud services, and mobile applications for government use.
• Key IoT functionalities including fleet management, data visualization, Software as a Service (SaaS)-based fleet management and data visualization, alerts and alarms, sensor onboarding, device onboarding, and geofencing for government operations.
• Basics of IoT device communication with the cloud using MQTT protocol for government applications.
• Connecting IoT devices to AWS with MQTT through AWS IoT Core for government projects.
• Integrating AWS IoT Core with AWS Lambda functions for computation and data storage in government environments.
• Linking Raspberry Pi to AWS IoT Core and facilitating simple data communication for government use cases.
• Managing alerts and events in IoT systems for government operations.
• Calibrating sensors for accurate data collection in government applications.

Summary:

• Fundamentals of Internet of Things (IoT) architecture and functionality
• Understanding the roles of “things,” sensors, internet connectivity, and their alignment with business functions in IoT systems
• Essential components of IoT software, including hardware, firmware, middleware, cloud services, and mobile applications
• Key IoT functionalities such as fleet management, data visualization, Software-as-a-Service (SaaS) based solutions for fleet management and data visualization, alerts/alarms, sensor onboarding, device onboarding, and geofencing
• Basic principles of IoT device communication with the cloud using MQTT protocol
• Connecting IoT devices to AWS with MQTT through AWS IoT Core
• Integrating AWS IoT Core with AWS Lambda for computation and data storage using DynamoDB
• Linking a Raspberry Pi to AWS IoT Core for simple data transmission
• Practical exercises with Raspberry Pi and AWS IoT Core to develop a smart device
• Data visualization and communication via web interfaces for government applications

This instructor-led, live training in US Empire (online or onsite) is aimed at data scientists and developers who wish to use Modin to build and implement parallel computations with Pandas for faster data analysis for government applications.

By the end of this training, participants will be able to:

• Set up the necessary environment to start developing scalable Pandas workflows using Modin.
• Understand the features, architecture, and benefits of Modin in the context of public sector data analysis.
• Compare Modin with other parallel computing frameworks such as Dask and Ray.
• Enhance the performance of Pandas operations using Modin.
• Implement the full Pandas API and functions for efficient data processing.