AWS Business Essentials Training Course

This instructor-led, live training in US (available online or onsite) is intended for system administrators and IT professionals at beginner to intermediate levels who aim to obtain practical experience in managing AWS cloud services and preparing for the AWS Certified SysOps Administrator – Associate examination.

Upon completion of this training, participants will be prepared to:

• Establish and configure AWS services and resources with secure protocols.
• Administer user identities, permissions, and access controls for AWS resources.
• Architect and deploy scalable, highly available, and fault-tolerant systems within AWS.
• Implement and oversee data ingress and egress to and from AWS environments.
• Optimize the utilization of AWS services to guarantee operational efficiency and fiscal responsibility.

AWS Advanced Architecture encompasses the design, configuration, and deployment of enterprise-grade infrastructure and applications on the AWS platform.

This instructor-led, live training program (available online or on-site) is designed for cloud engineers seeking to master and implement complex AWS architectural components. The curriculum addresses topics parallel to those found in AWS Certified Solutions Architect (Professional) level curricula. However, this course is not intended for exam preparation. It is a practical, hands-on program that demonstrates how to execute, within a live lab environment, the configurations, implementations, and deployments required of an AWS Solutions Architect for government operations.

Upon completion of this training, participants will be able to:

• Design complex cloud solutions on AWS.
• Deploy software applications on AWS that are scalable, highly available, and fault-tolerant.
• Integrate the most appropriate AWS services with an application for government requirements.
• Migrate complex software applications to AWS.
• Apply best practices to the design, implementation, optimization, and deployment of infrastructure and applications on AWS.

Course Format

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange details.

This instructor-led, live training in US (available online or onsite) targets intermediate-level IT professionals aiming to harness AWS resources for the efficient development and deployment of AI models.

By the conclusion of this session, participants will be able to:

• Comprehend the range of AI/ML services offered by AWS.
• Configure and administer AI/ML environments within the AWS platform.
• Demonstrate hands-on capability in constructing, training, and releasing AI models via Amazon SageMaker.
• Implement specific AWS AI services tailored to distinct operational scenarios.

This on-demand AWS Architecture certification training program is designed to equip professionals with the skills necessary to implement cloud-based solutions using Amazon Web Services. The curriculum utilizes real-world scenarios to provide participants with a comprehensive understanding of practical applications, including cloud computing fundamentals, AWS core services, Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and private cloud environments. Upon completion, participants will possess the competency to deploy and manage their own cloud implementations, utilizing resources such as EC2 instances and S3 buckets for government operations.

This instructor-led, live training in US (delivered online or onsite) is intended for introductory-level developers who require proficiency in setting up and utilizing AWS Cloud9 for cloud-based projects. This preparation is critical for maintaining technological readiness for government missions.

Upon completion of this training, participants will be capable of:

• Comprehending the AWS Cloud9 environment and its constituent components.
• Establishing a personalized AWS Cloud9 development workspace.
• Developing and executing basic applications within AWS Cloud9.
• Utilizing the collaborative capabilities of AWS Cloud9.

This instructor-led, live training in US (online or onsite) is directed at intermediate-level data scientists and analysts who intend to utilize AWS Cloud9 for streamlined data science workflows.

Upon completion of this training, participants will be capable of:

• Establishing a data science environment in AWS Cloud9.
• Executing data analysis using Python, R, and Jupyter Notebook in Cloud9.
• Integrating AWS Cloud9 with AWS data services such as S3, RDS, and Redshift.
• Leveraging AWS Cloud9 for the development and deployment of machine learning models.
• Optimizing cloud-based workflows for data analysis and processing.

This instructor-led, live training in US (online or onsite) is aimed at intermediate-level Python developers who wish to enhance their Python development experience using AWS Cloud9.

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

• Set up and configure AWS Cloud9 for Python development.
• Understand the AWS Cloud9 IDE interface and features.
• Write, debug, and deploy Python applications in AWS Cloud9.
• Collaborate with other developers using the AWS Cloud9 platform.
• Integrate AWS Cloud9 with other AWS services for advanced deployments.

This workshop facilitates candidate preparation for the AWS Certified Solutions Architect examination by correlating assessment criteria with practical expertise and applied scenarios.

Delivered by certified instructors in a live environment (remote or on-site), this training targets intermediate to advanced cloud professionals seeking to refine architect-level competencies, practice examination-style assessments, and establish confidence for certification for government roles.

Upon completion, participants will demonstrate the ability to:

• Correlate AWS services and architectural patterns with specific examination domains and learning objectives.
• Construct resilient, high-performance, secure, and fiscally efficient architectures on AWS.
• Apply Well-Architected Framework best practices to real-world operational contexts.
• Analyze and resolve examination-style multiple-choice and scenario-based questions using proven strategic methods.
• Identify individual knowledge deficiencies and formulate a targeted preparation strategy for the certification assessment.

Instructional Format

• Interactive instruction mapped to the official examination blueprint and competency requirements.
• Guided laboratory demonstrations and structured architectural design exercises.
• Time-constrained practice assessments, detailed question reviews, and strategic test preparation techniques.

Curriculum Customization

• To initiate a customized training program for this curriculum, please engage with our team to discuss specific requirements.

This four-day curriculum is designed to establish proficiency for government use cases in the following areas:

• A comprehensive understanding of core AWS services, operational applications, and fundamental architecture best practices.
• Competence in the design, development, and deployment of cloud-based solutions utilizing AWS infrastructure.
• Practical experience in developing and maintaining applications integrated with Amazon Simple Storage Service, Amazon DynamoDB, Amazon Simple Queue Service, Amazon Simple Notification Service, Amazon Simple Workflow Service, AWS Elastic Beanstalk, and AWS CloudFormation.

Target Audience:

Cloud engineers, center of excellence personnel, Windows Server administrators, Unix/Linux system administrators, storage specialists, network administrators, and virtualization professionals.

Upon successful completion of this training program, participants will be equipped to deploy and manage AWS services from a developer perspective, ensuring alignment with public sector operational standards.

This instructor-led, live training in US (delivered on-site or remotely) is designed for engineering professionals seeking to deploy and manage IoT devices on the AWS cloud platform for government use.

Upon completion, participants will be equipped to develop an IoT platform encompassing the deployment and management of backend infrastructure, gateways, and devices within the AWS environment.

This instructor-led, live training in US (onsite or remote) is designed for developers seeking to utilize AWS Lambda to build and deploy cloud services for government. It removes the necessity of managing the underlying execution environment, such as servers, virtual machines, containers, availability, scalability, and storage.

Upon completion of this training, participants will be capable of:

• Configuring AWS Lambda to execute functions.
• Understanding Functions as a Service (FaaS) and the advantages of serverless development.
• Building, uploading, and executing AWS Lambda functions.
• Integrating Lambda functions with diverse event sources.
• Packaging, deploying, monitoring, and troubleshooting Lambda-based applications.

This instructor-led, live training in US (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.

This instructor-led, live training in US (online or onsite) is targeted at intermediate-level professionals seeking to effectively build, deploy, and maintain serverless applications on AWS Cloud9 and AWS Lambda.

Upon completion of this training, participants will be capable of:

• Understanding the fundamental concepts of serverless architecture.
• Configuring AWS Cloud9 for serverless application development.
• Developing, testing, and deploying serverless applications using AWS Lambda.
• Integrating AWS Lambda with other AWS services such as API Gateway and S3.
• Optimizing serverless applications for performance and cost efficiency.