AWS Advanced Architecture Training Course

This instructor-led, live training in US (online or onsite) is designed for cloud engineers and developers who wish to utilize CloudFormation to manage infrastructure resources within the AWS ecosystem for government.

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

• Implement CloudFormation templates to automate infrastructure management for government operations.
• Integrate existing AWS resources into CloudFormation to enhance governance and accountability.
• Use StackSets to manage stacks across multiple accounts and regions, ensuring consistent deployment and compliance for government workflows.

Amazon Redshift is a petabyte-scale cloud-based data warehouse service provided by AWS.

In this instructor-led, live training, participants will gain a comprehensive understanding of Amazon Redshift fundamentals.

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

• Install and configure Amazon Redshift
• Load, configure, deploy, query, and visualize data using Amazon Redshift

Audience

• Developers
• IT Professionals

Format of the Course

• A combination of lectures, discussions, exercises, and extensive hands-on practice

Note

• To request a customized training for government or other specific needs, please contact us to arrange.

This instructor-led, live training in [location] (available online or on-site) is designed for government developers who wish to utilize Amazon S3 to facilitate cloud-based storage for their websites, web applications, and mobile applications for government use.

This instructor-led, live training in [location] (online or onsite) is designed for beginner-level to intermediate-level system administrators and IT professionals who wish to gain hands-on experience in managing AWS cloud services and prepare for the AWS Certified SysOps Administrator - Associate exam. By the end of this training, participants will be able to: - Set up and configure AWS services and resources securely. - Manage user identities, permissions, and access to AWS resources. - Design and deploy scalable, highly available, and fault-tolerant systems on AWS. - Implement and manage data flow to and from AWS. - Optimize AWS service usage to ensure efficient operation and cost management, aligning with best practices for government agencies.

This instructor-led, live training (online or onsite) is designed for intermediate-level IT professionals who wish to learn how to effectively leverage AWS tools and services to build, train, and deploy artificial intelligence models. By the end of this training, participants will be able to: - Understand the AI/ML services provided by AWS. - Set up and manage AI/ML environments on AWS. - Gain hands-on experience in building, training, and deploying AI models using Amazon SageMaker. - Learn to utilize various AWS AI services for specific use cases, ensuring alignment with public sector workflows and governance standards for government.

The on-demand AWS Architect Certification training course is designed to assist professionals in becoming cloud-enabled through Amazon Web Services. This course, which includes real-world examples, aids participants in understanding the practical application of key 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. Upon completion of this course, participants will be equipped to implement their own cloud solutions using EC2 instances, S3 buckets, and other AWS services, ensuring alignment with the technical requirements for government projects.

Amazon Web Services (AWS) is a comprehensive cloud platform offering compute, storage, database, networking, analytics, and managed services that enable organizations to build scalable and cost-effective solutions. This instructor-led, live training (online or onsite) is designed for beginner-level to intermediate-level business and technical stakeholders who wish to understand core AWS services, the value propositions of cloud computing, cost models, security basics, and how to align AWS capabilities with organizational objectives. By the end of this training, participants will be able to: - Explain core AWS services and common cloud architectures. - Assess the business benefits and cost models of migrating workloads to AWS. - Identify appropriate AWS services for addressing common business challenges (compute, storage, databases, networking, analytics). - Recognize basic security, compliance, and governance considerations in the AWS cloud. - Outline a simple migration or cloud adoption plan with high-level cost and risk considerations. **Format of the Course** - Interactive lecture and discussion. - Instructor-led demonstrations using the AWS console. - Group exercises and scenario-based workshops. **Course Customization Options for Government** To request a customized training for this course, tailored specifically to meet the needs of government agencies, please contact us to arrange.

This instructor-led, live training in [location] (online or onsite) is designed for beginner-level developers who wish to set up and use AWS Cloud9 for cloud-based projects. By the end of this training, participants will be able to: - Understand the AWS Cloud9 environment and its components. - Set up their own AWS Cloud9 development workspace. - Develop and run simple applications within AWS Cloud9. - Familiarize themselves with the collaboration features of AWS Cloud9, enhancing productivity and efficiency for government projects.

This instructor-led, live training (conducted online or on-site) is designed for intermediate-level data scientists and analysts who wish to leverage AWS Cloud9 for streamlined data science workflows. By the end of this training, participants will be able to: - Configure a data science environment in AWS Cloud9. - Conduct data analysis using Python, R, and Jupyter Notebook within Cloud9. - Integrate AWS Cloud9 with AWS data services such as S3, RDS, and Redshift. - Utilize AWS Cloud9 for the development and deployment of machine learning models. - Optimize cloud-based workflows for efficient data analysis and processing, ensuring alignment with public sector standards and governance practices for government.

This instructor-led, live training in [location] (onsite or remote) is designed for engineers who wish to deploy and manage IoT devices on AWS for government use. By the end of this training, participants will be able to construct an IoT platform that encompasses the deployment and management of a backend, gateway, and devices utilizing AWS services.

This instructor-led, live training in US (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 [location] (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 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 to execute a function. - Understand FaaS (Functions as a Service) and the advantages of serverless development for government applications. - Build, upload, and execute AWS Lambda functions. - Integrate Lambda functions with various event sources. - Package, deploy, monitor, and troubleshoot Lambda-based applications.

This instructor-led, live training in [location] (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 to support 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 for government. - Utilize source control systems like GitHub or GitLab within AWS Cloud9.

This instructor-led, live training (online or onsite) is designed for 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 developing serverless applications. - 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, ensuring alignment with public sector workflows and governance standards for government.

Summary:

• Overview of the fundamental architecture and functionalities of the Internet of Things (IoT)
• Understanding the roles of "things," sensors, the internet, and their alignment with business functions in IoT
• Comprehensive examination of essential IoT software components: hardware, firmware, middleware, cloud services, and mobile applications
• Key IoT functionalities including fleet management, data visualization, Software as a Service (SaaS)-based solutions for fleet management and data visualization, alerts and alarms, sensor onboarding, device onboarding, and geofencing
• Basics of IoT device communication with the cloud using the Message Queuing Telemetry Transport (MQTT) protocol
• Steps to connect IoT devices to AWS using MQTT through AWS IoT Core
• Integration of AWS IoT Core with AWS Lambda functions for data processing and storage in DynamoDB
• Demonstration of connecting a Raspberry Pi to AWS IoT Core and facilitating basic data communication
• Practical hands-on experience with Raspberry Pi and AWS IoT Core to develop a smart device
• Techniques for visualizing sensor data and enabling communication through web interfaces, tailored for government use cases