Introduction to AWS Cloud9 for Beginners Training Course

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 in US (online or onsite) is aimed at cloud engineers who wish to understand and implement the more complex aspects of AWS architecture. The course covers many of the same topics as those found in the AWS Certified Solutions Architect (Professional) level courses. However, this course is not designed to prepare participants for an exam; instead, it provides a hands-on, practical approach that demonstrates how to implement various configurations, implementations, and deployments in a live lab environment, similar to what an AWS Solutions Architect would need to perform. By the end 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. - Migrate a complex software application to AWS. - Apply best practices to the design, implementation, optimization, and deployment of infrastructure and applications on AWS, ensuring alignment with public sector workflows, governance, and accountability for government use.

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 (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 (online or onsite) is designed for intermediate-level Python developers who aim 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 government Python development. - Understand the interface and features of the AWS Cloud9 IDE. - Write, debug, and deploy Python applications within AWS Cloud9. - Collaborate with other developers using the AWS Cloud9 platform. - Integrate AWS Cloud9 with other AWS services for advanced deployments.

This instructor-led, live training (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and skills required to effectively secure Amazon Web Services (AWS) environments for government use. By the end of this training, participants will be able to: - Understand the core concepts of AWS Cloud Security and its importance in a cloud environment. - Implement effective access controls, authentication mechanisms, and multi-factor authentication to secure AWS resources. - Define and enforce security policies and monitor AWS resources to ensure compliance with government standards.

AWS Cloud Practitioner Essentials is a foundational course designed to provide participants with a comprehensive understanding of AWS Cloud concepts, services, security, architecture, pricing, and support.

This instructor-led, live training (online or onsite) is aimed at beginner-level professionals who wish to gain a conceptual understanding of AWS and build a solid foundation for future learning or certification. This course is particularly relevant for government agencies looking to enhance their cloud capabilities.

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

• Describe the basic global infrastructure of the AWS Cloud.
• Explain key AWS services and their common use cases.
• Understand cloud security and compliance within AWS.
• Navigate pricing models and support plans.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of the AWS Console in guided exercises.
• Practical activities and knowledge checks aligned with the AWS exam guide.

Course Customization Options

• To request a customized training for this course based on your organization’s specific learning goals or cloud strategy, please contact us to arrange. This can be particularly tailored for government agencies seeking to align their cloud initiatives with broader public sector workflows and governance.

This workshop prepares candidates for the AWS Certified Solutions Architect exam by aligning exam objectives with practical knowledge and hands-on scenarios. This instructor-led, live training (online or onsite) is designed for intermediate to advanced cloud practitioners who aim to solidify architect-level knowledge, practice exam-style questions, and build confidence for certification. By the end of this training, participants will be able to: - Map AWS services and architectural patterns to exam domains and objectives. - Design resilient, high-performing, secure, and cost-optimized architectures on AWS. - Apply best practices from the Well-Architected Framework to real-world scenarios. - Approach and solve exam-style multiple-choice and scenario questions with effective strategies. - Identify personal study gaps and create a focused preparation plan for the certification exam. **Format of the Course** - Interactive lecture and domain mapping to the official exam blueprint. - Hands-on lab demonstrations and guided architecture design exercises. - Timed practice exams, question walkthroughs, and test-taking strategies. **Course Customization Options for Government** To request a customized training for this course tailored to specific needs or requirements, please contact us to arrange.

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 [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.

Overview:

• Foundational principles of IoT architectural frameworks and operational capabilities.
• The role of connected devices, sensor networks, and the integration of enterprise business processes.
• Core software stack requirements, including hardware interfaces, firmware, middleware, cloud infrastructure, and mobile applications.
• Key functional services such as fleet management, data analytics, alerting systems, device onboarding, and geographic boundary monitoring.
• Principles of IoT telemetry transmission using the MQTT protocol.
• Integration of IoT endpoints with AWS IoT Core via MQTT.
• Utilization of AWS Lambda for computational tasks and DynamoDB for data persistence within the AWS ecosystem.
• Establishing connectivity between Raspberry Pi devices and AWS IoT Core for basic data exchange.
• Practical application using Raspberry Pi and AWS IoT Core to develop secure, connected hardware solutions for government
• Implementation of sensor data visualization and web-based interface communication.