AWS: A Hands-on Introduction to Cloud Computing Training Course

This instructor-led, live training in France (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 France (online or onsite) is designed for cloud engineers seeking to understand and implement the more intricate aspects of AWS architecture. The course covers many topics aligned with the AWS Certified Solutions Architect (Professional) level, but it is NOT intended to prepare participants for the certification exam. Instead, it is a hands-on, practical course that demonstrates how to implement various configurations, deployments, and implementations in a live lab environment, mirroring the tasks an AWS Solutions Architect would perform.

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

• Design complex cloud solutions on AWS.
• Deploy scalable, highly available, and fault-tolerant software applications on AWS.
• Integrate the most suitable AWS services with applications.
• Migrate complex software applications to AWS.
• Apply best practices to the design, implementation, optimization, and deployment of infrastructure and applications on AWS.

This instructor-led, live training in France (online or onsite) is aimed at 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 Architecture Certification training program is designed to empower professionals to harness the power of Amazon Web Services for cloud adoption. Delivered with practical, real-world examples, the course enables participants to grasp the practical application of key 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 development. Upon completion, participants will possess the skills to deploy their own cloud solutions using resources such as EC2 instances and S3 buckets.

AWS, or Amazon Web Services, is a comprehensive cloud computing platform that provides compute, storage, database, networking, analytics, and managed services. These tools empower organizations to develop scalable and cost-efficient solutions.

This instructor-led training, available both online and on-site, is designed for business and technical professionals at the beginner to intermediate levels. It aims to help participants grasp core AWS services, cloud value propositions, cost models, fundamental security concepts, and strategies for aligning AWS capabilities with organizational goals.

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

• Describing core AWS services and typical cloud architectures.
• Evaluating the business advantages and financial models associated with migrating workloads to AWS.
• Selecting suitable AWS services for common business challenges, including compute, storage, databases, networking, and analytics.
• Identifying fundamental security, compliance, and governance aspects within the AWS cloud environment.
• Outlining a high-level migration or cloud adoption plan that accounts for cost and risk factors.

Course Format

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

Customization Options

• For information on requesting customized training for this course, please contact us to make arrangements.

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

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

• Set up and configure AWS Cloud9 for Python development.
• Understand the AWS Cloud9 IDE interface and its 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.

The AWS Cloud Practitioner Essentials course offers a foundational overview of AWS Cloud concepts, services, security protocols, architectural principles, pricing structures, and support mechanisms.

This live, instructor-led training, available either online or on-site, targets beginner professionals seeking to grasp AWS concepts at a high level and establish a robust base for future AWS study or certification.

Upon completing this training, participants will be equipped to:

• Describe the fundamental global infrastructure of the AWS Cloud.
• Explain core AWS services and their typical use cases.
• Gain insight into cloud security and compliance within the AWS environment.
• Navigate AWS pricing models and support plans.

Course Format

• Interactive lectures and discussions.
• Guided exercises involving hands-on use of the AWS Console.
• Practical activities and knowledge checks aligned with the AWS exam guide.

Course Customization Options

• To request customized training for this course tailored to your organization’s learning objectives or cloud strategy, please contact us to arrange it.

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

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced cloud practitioners who want to solidify their 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 also allows for the evaluation of participants.

• 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.

This instructor-led live training in France (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 France (onsite or remote) is designed for developers who wish to leverage AWS Lambda to build and deploy cloud services and applications, without the burden of 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 different event sources.
• Package, deploy, monitor, and troubleshoot Lambda-based applications.

This instructor-led, live training in France (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 France (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:

• Gaining a clear understanding of IoT architecture and its core functions.
• Exploring the concept of "Things" and "Sensors," the fundamentals of the Internet of Things, and how to map business requirements to effective 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 Facility Management (FM) and Data Visualization (DV), alerting/alarm systems, sensor and "thing" onboarding, and geo-fencing.
• Mastering the 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.