AWS Cloud Practitioner Essentials Training Course

This live, instructor-led training in Brazil (online or on-site) targets beginner to intermediate system administrators and IT professionals seeking practical experience in managing AWS cloud services and preparing for the AWS Certified SysOps Administrator - Associate certification exam.

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

• Securely setting up and configuring AWS services and resources.
• Managing user identities, permissions, and access controls for AWS resources.
• Designing and deploying scalable, highly available, and fault-tolerant systems within AWS.
• Implementing and managing data flow between AWS and external systems.
• Optimizing AWS service usage to ensure efficient operations and effective cost management.

This instructor-led, live training in Brazil (online or onsite) is designed for cloud engineers who want 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. It 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 Brazil (online or onsite) targets intermediate-level IT professionals who wish to learn how to leverage AWS tools and services to build, train, and deploy AI models efficiently.

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.

This on-demand AWS Architect Certification training course is designed to empower professionals to become cloud-enabled through Amazon Web Services. With real-world examples, the course helps participants understand the practical application of 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. After this course, participants will be able to set up their own cloud implementations using EC2 instances, S3 buckets, and more.

AWS, or Amazon Web Services, is a comprehensive cloud platform providing compute, storage, database, networking, analytics, and managed services. These tools empower organizations to create scalable and cost-effective solutions.

This live, instructor-led training (available online or onsite) is designed for beginner to intermediate business and technical stakeholders. The goal is to help participants understand core AWS services, the value proposition of the cloud, cost models, fundamental security principles, and how to align AWS capabilities with organizational goals.

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

• Describe core AWS services and common cloud architectures.
• Evaluate the business benefits and cost models associated with migrating workloads to AWS.
• Select appropriate AWS services to address common business challenges in compute, storage, databases, networking, and analytics.
• Identify fundamental security, compliance, and governance considerations within the AWS cloud.
• Develop a high-level migration or cloud adoption plan, including cost and risk considerations.

Course Format

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

Customization Options

• For customized training on this course, please contact us to arrange.

This instructor-led, live training in Brazil (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 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 Brazil (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.
• Perform data analysis using Python, R, and Jupyter Notebook in Cloud9.
• Integrate AWS Cloud9 with AWS data services like S3, RDS, and Redshift.
• Utilize AWS Cloud9 for machine learning model development and deployment.
• Optimize cloud-based workflows for data analysis and processing.

This instructor-led, live training in Brazil (online or onsite) is designed for intermediate-level Python developers seeking to enhance their Python development experience with AWS Cloud9.

Upon completion 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 features.
• Write, debug, and deploy Python applications within AWS Cloud9.
• Collaborate effectively with other developers using the AWS Cloud9 platform.
• Integrate AWS Cloud9 with other AWS services for advanced deployment scenarios.

This workshop equips candidates for the AWS Certified Solutions Architect certification by connecting exam objectives with practical knowledge and hands-on practice.

This instructor-led, live training (available online or onsite) targets intermediate to advanced cloud practitioners who want to solidify architect-level expertise, practice exam-style questions, and build confidence for certification.

Upon completion, participants will be able to:

• Map AWS services and architectural patterns to specific exam domains and objectives.
• Design architectures on AWS that are resilient, high-performing, secure, and cost-optimized.
• Apply best practices from the Well-Architected Framework to real-world scenarios.
• Approach and solve exam-style multiple-choice and scenario questions using effective strategies.
• Identify personal study gaps and create a focused preparation plan for the certification exam.

Course Format

• Interactive lectures and domain mapping aligned with the official exam blueprint.
• Hands-on lab demonstrations and guided architecture design exercises.
• Timed practice exams, question walkthroughs, and test-taking strategies.

Customization Options

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

This four-day course 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.
• Practical experience in developing and maintaining applications using 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, Centre of Excellence teams, Windows Server administrators, Unix/Linux administrators, Storage administrators, Network administrators, and Virtualization administrators.

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

This instructor-led, live training in Brazil (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 Brazil (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 worry about provisioning the execution environment (servers, VMs and 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 different event sources.
• Package, deploy, monitor and troubleshoot Lambda based applications.

This instructor-led, live training in Brazil (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 Brazil (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.

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:

• Gaining an understanding of IoT architecture and its core functionalities.
• Exploring the concepts of "Things" and "Sensors" within the Internet of Things, and aligning business functions with IoT solutions.
• Comprehensive overview of IoT software components: hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Key IoT functions: Fleet management, data visualization, SaaS-based FM and DV, alerting/alarm systems, sensor and "thing" onboarding, and geo-fencing.
• Fundamentals of IoT device-to-cloud communication using MQTT.
• Connecting IoT devices to AWS via MQTT using AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for computation and Amazon DynamoDB for data storage.
• Connecting a Raspberry Pi to AWS IoT Core for seamless data communication.
• Hands-on lab: Building a smart device using a Raspberry Pi and AWS IoT Core.
• Sensor data visualization and web interface communication.