AWS Cloud Practitioner Essentials Training Course

This instructor-led, live training in Argentina (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 Argentina (online or onsite) is designed for 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 at Argentina (available online or onsite) is tailored for 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.
• Be able to 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.

This on-demand AWS Architect Certification training program is designed to empower professionals to master cloud capabilities through Amazon Web Services. Delivered with practical, real-world examples, the course enables participants to grasp the tangible applications of core concepts including 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, learners will be equipped to build their own cloud implementations using EC2 instances, S3 buckets, and other essential services.

Amazon Web Services (AWS) provides a robust cloud platform encompassing compute, storage, databases, networking, analytics, and managed services. These tools empower organizations to develop scalable and cost-efficient solutions.

This instructor-led training, available online or in-person, targets business and technical professionals ranging from beginner to intermediate levels. The course is designed to help participants grasp core AWS services, the value of cloud computing, pricing models, fundamental security concepts, and how to align AWS capabilities with organizational goals.

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

• Describing essential AWS services and standard cloud architectures.
• Evaluating the business advantages and cost structures associated with migrating workloads to AWS.
• Selecting suitable AWS services for typical business challenges across compute, storage, databases, networking, and analytics.
• Understanding key security, compliance, and governance aspects within the AWS cloud environment.
• Drafting a high-level cloud adoption or migration plan that addresses cost and risk factors.

Course Format

• Engaging lectures and interactive discussions.
• Live demonstrations by the instructor using the AWS console.
• Collaborative group exercises and scenario-based workshops.

Customization Options

• For customized training arrangements, please reach out to us.

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

This instructor-led, live training in Argentina (online or onsite) is designed for intermediate-level data scientists and analysts who wish to use AWS Cloud9 for streamlined data science workflows.

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

• Set up a data science environment in 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 Argentina (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 equips 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) targets intermediate to advanced cloud practitioners aiming to consolidate architect-level expertise, 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

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

Over the course of four days, this program offers:

• A solid grasp of core AWS services, their applications, and fundamental architecture best practices.
• The ability to design, develop, and deploy cloud-based solutions using AWS infrastructure.
• Practical experience in developing and maintaining applications leveraging Amazon Simple Storage Service (S3), Amazon DynamoDB, Amazon Simple Queue Service (SQS), Amazon Simple Notification Service (SNS), Amazon Simple Workflow Service (SWF), AWS Elastic Beanstalk, and AWS CloudFormation.

Target Audience:

Cloud engineers, Center of Excellence teams, Windows Server administrators, Unix/Linux administrators, Storage administrators, Network administrators, and Virtualization administrators.

Upon completing this training, participants will be equipped to deploy and utilize AWS services from a developer's perspective.

This instructor-led, live training in Argentina (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 Argentina (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 (such as servers, VMs, and containers, as well as availability, scalability, and storage).

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 benefits 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 Argentina (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 Argentina (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.

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

• Understand the fundamentals of serverless architecture.
• Set up 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 performance and cost efficiency.

Summary:

• Grasping IoT architecture and its fundamental operations.
• Examining the concepts of "Things" and "Sensors," the Internet of Things, and aligning business functions with IoT solutions.
• A detailed look at IoT software elements: hardware, firmware, middleware, cloud infrastructure, and mobile apps.
• Core IoT capabilities: Fleet management, data visualization, SaaS-based FM and DV, alerting systems, onboarding sensors and "things," and geo-fencing.
• Foundational principles of device-to-cloud communication via MQTT.
• Linking IoT devices to AWS using MQTT and AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for computing tasks and Amazon DynamoDB for data storage.
• Establishing communication between a Raspberry Pi and AWS IoT Core for efficient data exchange.
• Practical lab session: Creating a smart device utilizing a Raspberry Pi and AWS IoT Core.
• Visualizing sensor data and interfacing with web applications.