AWS Cloud9 and Python: A Practical Guide Training Course

This instructor-led, live training in the Netherlands (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 the Netherlands (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 the Netherlands (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 AI models.

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

• Understand the AI/ML services offered 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.

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

This instructor-led live training, available online or onsite, is designed for beginner to intermediate business and technical stakeholders. It helps them understand core AWS services, the value of cloud computing, cost models, basic 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 standard cloud architectures.
• Evaluate the business benefits and cost structures associated with migrating workloads to AWS.
• Select appropriate AWS services for common business challenges, including compute, storage, databases, networking, and analytics.
• Identify fundamental security, compliance, and governance aspects within the AWS cloud environment.
• Draft 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.

Course Customization Options

• For customized training arrangements, please contact us directly.

This instructor-led live training in the Netherlands (online or onsite) is designed for 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:

• Comprehend the AWS Cloud9 environment and its core components.
• Configure their own AWS Cloud9 development workspace.
• Build and execute simple applications within AWS Cloud9.
• Become familiar with the collaborative features offered by AWS Cloud9.

This instructor-led, live training in the Netherlands (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.

AWS Cloud Practitioner Essentials is a foundational course designed to provide participants with a broad 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 understand AWS at a conceptual level and build a solid foundation for future AWS learning or certification.

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 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 learning goals or cloud strategy, please contact us to arrange.

This instructor-led, live training in the Netherlands (on-site or remote) is designed for engineers looking to deploy and manage IoT devices on AWS.

Upon completing this course, participants will be equipped to build an IoT platform that encompasses the deployment and management of backends, gateways, and devices within the AWS ecosystem.

This instructor-led live training in the Netherlands (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, 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 the Netherlands (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.

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

• Set up a development environment that includes Python, Pandas, and NumPy.
• Create a data analysis application using Pandas and NumPy.
• Perform advanced data wrangling, sorting, and filtering operations.
• Conduct aggregate operations and analyze time series data.
• Visualize data using Matplotlib and other visualization libraries.
• Debug and optimize their data analysis code.

This instructor-led, live training in the Netherlands (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 the Netherlands (online or onsite) is tailored for intermediate-level professionals who wish 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 capable of:

• Grasping the core principles of serverless architecture.
• Configuring AWS Cloud9 for serverless application development.
• Developing, testing, and deploying serverless applications using AWS Lambda.
• Integrating AWS Lambda with additional AWS services, such as API Gateway and S3.
• Optimizing serverless applications for both performance and cost-efficiency.

This instructor-led, live training (online or onsite) is designed for developers who wish to use the FARM (FastAPI, React, and MongoDB) stack to build dynamic, high-performance, and scalable web applications.

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

• Set up the necessary development environment that integrates FastAPI, React, and MongoDB.
• Understand the key concepts, features, and benefits of the FARM stack.
• Learn how to build REST APIs with FastAPI.
• Learn how to design interactive applications with React.
• Develop, test, and deploy applications (front end and back end) using the FARM stack.

This instructor-led live training, located in the Netherlands (online or onsite), targets developers seeking to utilize FastAPI alongside Python to build, test, and deploy RESTful APIs with greater ease and speed.

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

• Set up the required development environment for developing APIs with Python and FastAPI.
• Create APIs more quickly and easily using the FastAPI library.
• Learn how to create data models and schemas based on Pydantic and OpenAPI.
• Connect APIs to a database using SQLAlchemy.
• Implement security and authentication in APIs using the FastAPI tools.
• Build container images and deploy web APIs to a cloud server.

Summary:

• Grasping IoT architecture and its fundamental operations.
• Exploring the notions of 'Things' and 'Sensors' within the Internet of Things, and aligning business processes with IoT solutions.
• An exhaustive look at IoT software components: hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Core IoT capabilities: fleet management, data visualization, SaaS-based facility and data visualization, alerting/alarm systems, onboarding sensors and 'things,' and geo-fencing.
• Mastering the basics of IoT device-to-cloud communication via MQTT.
• Linking IoT devices to AWS through MQTT using AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for computational tasks and Amazon DynamoDB for data storage.
• Establishing a connection between a Raspberry Pi and AWS IoT Core for efficient data exchange.
• Practical lab session: Developing a smart device utilizing a Raspberry Pi and AWS IoT Core.
• Visualizing sensor data and communicating via web interfaces.