Efficient Cloud Infrastructure with AWS Cloud9 Training Course

This instructor-led, live training in Mexico (online or onsite) is aimed at developers who wish to use Amazon S3 to enable cloud-based storage for their websites, web applications and/or mobile applications.

This instructor-led, live training in Mexico (online or onsite) is aimed at 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.

This instructor-led, live training in Mexico (online or onsite) is aimed at cloud engineers wishing to understand and implement the more complex aspects of AWS architecture. The course covers many of the same topics as the AWS Certified Solutions Architect (Professional) level courses. However, this course is NOT intended to prepare participants to take an exam. This is a hands-on, practical course that demonstrates how to implement in a live lab environment many of the configurations, implementations, and deployments that an AWS Solutions Architect would need to carry out.

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.

This instructor-led, live training in Mexico (available online or in-person) is aimed at intermediate-level IT professionals who want to learn how to leverage AWS tools and services to efficiently build, train, and deploy AI 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.

The on-demand AWS Architect Certification training course is designed to assist professionals in leveraging Amazon Web Services to become cloud-ready. Delivered through real-world examples, this course helps participants grasp the practical application of key concepts such as cloud computing fundamentals, 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, participants will be equipped to implement their own cloud solutions using services like EC2 instances and S3 buckets.

Amazon Web Services (AWS) is a comprehensive cloud computing platform that provides compute, storage, database, networking, analytics, and managed services, empowering organizations to develop scalable and cost-effective solutions.

This instructor-led, live training, available either online or onsite, targets beginner to intermediate business and technical stakeholders. The goal is to help participants understand core AWS services, the value of cloud computing, cost structures, fundamental security concepts, and how to align AWS capabilities with organizational goals.

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

• Describe fundamental AWS services and common cloud architectures.
• Evaluate the business advantages and cost models associated with migrating workloads to AWS.
• Select suitable AWS services to address typical business challenges related to compute, storage, databases, networking, and analytics.
• Identify foundational security, compliance, and governance factors within the AWS cloud environment.
• Outline a basic migration or cloud adoption strategy, including high-level cost and risk assessments.

Course Format

• Interactive lectures and discussions.
• Instructor-led demonstrations using the AWS console.
• Collaborative exercises and scenario-based workshops.

Customization Options

• For tailored training on this course, please contact us to arrange your session.

This instructor-led, live training in Mexico (online or in person) is designed for beginner-level developers who want to configure and utilize AWS Cloud9 for cloud-based projects.

Upon completing this training, participants will be able to:

• Grasp the AWS Cloud9 environment and its core components.
• Set up their own AWS Cloud9 development workspace.
• Create and execute simple applications within AWS Cloud9.
• Get accustomed to the collaboration features offered by AWS Cloud9.

This instructor-led, live training in Mexico (online or onsite) targets intermediate-level data scientists and analysts seeking to utilize AWS Cloud9 for optimized data science workflows.

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

• Establish a data science environment within AWS Cloud9.
• Conduct data analysis using Python, R, and Jupyter Notebook in Cloud9.
• Integrate AWS Cloud9 with AWS data services such as S3, RDS, and Redshift.
• Use AWS Cloud9 for developing and deploying machine learning models.
• Optimize cloud-based workflows for data analysis and processing.

This instructor-led, live training in Mexico (available online or onsite) is designed for intermediate-level Python developers who want to enhance their 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.
• Navigate the AWS Cloud9 IDE interface and utilize its key features.
• Write, debug, and deploy Python applications within AWS Cloud9.
• Collaborate effectively with other developers via the AWS Cloud9 platform.
• Integrate AWS Cloud9 with other AWS services to facilitate advanced deployments.

This instructor-led, live training in Mexico (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.

This instructor-led live training in Mexico (online or onsite) is designed for 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.

This instructor-led live training in Mexico (onsite or remote) is designed for 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, 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 various event sources.
• Package, deploy, monitor, and troubleshoot Lambda-based applications.

This instructor-led, live training in Mexico (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 Mexico (online or onsite) is designed for intermediate-level professionals seeking to learn how to effectively build, deploy, and maintain serverless applications on AWS Cloud9 and AWS Lambda.

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

• Grasp the core principles of serverless architecture.
• Configure 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 both performance and cost efficiency.

Summary:

• Gaining a solid understanding of IoT architecture and its fundamental operations.
• Exploring the concepts of "Things" and "Sensors" within the Internet of Things ecosystem, and aligning business objectives with IoT solutions.
• Reviewing the full spectrum of IoT software components: hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Examining core IoT functionalities: fleet management, data visualization, SaaS-based Facility Management (FM) and Data Visualization (DV), alerting systems, sensor and device onboarding, and geo-fencing.
• Mastering the basics of IoT device-to-cloud communication via MQTT.
• Connecting IoT devices to AWS using MQTT through AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for processing tasks and Amazon DynamoDB for efficient data storage.
• Linking a Raspberry Pi to AWS IoT Core to enable seamless data exchange.
• Practical lab session: Constructing a smart device utilizing a Raspberry Pi and AWS IoT Core.
• Visualizing sensor data and establishing communication with web interfaces.