Efficient Cloud Infrastructure with AWS Cloud9 Training Course

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

Upon completing this training, participants will be capable of:

• Gaining a clear understanding of the AI/ML services available on AWS.
• Setting up and managing AI/ML environments within the AWS ecosystem.
• Acquiring practical experience in building, training, and deploying AI models using Amazon SageMaker.
• Learning to apply various AWS AI services to address specific business use cases.

This on-demand AWS Architect Certification training program is crafted to empower professionals with the skills needed to leverage Amazon Web Services for cloud enablement. Delivered through practical, real-world examples, the course facilitates a deep understanding 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 programming. Upon completion, participants will gain the capability to design and implement their own cloud solutions using resources such as EC2 instances and S3 buckets.

AWS, short for Amazon Web Services, is a robust cloud platform that provides essential services including computing power, storage, databases, networking, analytics, and managed solutions. These tools empower organizations to develop scalable and cost-efficient systems.

This live training, available online or onsite with an instructor, is designed for beginner to intermediate business and technical stakeholders. It aims to help participants understand core AWS services, the value of cloud computing, pricing structures, foundational security concepts, and how to align AWS capabilities with organizational goals.

Upon completing this training, participants will be equipped to:

• Describe fundamental AWS services and standard cloud architectures.
• Evaluate the business advantages and cost implications of moving workloads to AWS.
• Select suitable AWS services for common business challenges, such as computing, storage, databases, networking, and analytics.
• Understand key security, compliance, and governance aspects within the AWS cloud.
• Draft a basic migration or cloud adoption plan, considering high-level costs and risks.

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 requests, please contact us to arrange a session.

This instructor-led live training in Norway (online or onsite) is tailored for beginner-level developers who aim to set up and utilize 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 Norway (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 Norway (online or onsite) is targeted at intermediate-level Python developers aiming to improve their Python development experience using AWS Cloud9.

By the conclusion of this training, participants will be capable of:

• Setting up and configuring AWS Cloud9 for Python development.
• Understanding the AWS Cloud9 IDE interface and its features.
• Writing, debugging, and deploying Python applications in AWS Cloud9.
• Collaborating with other developers using the AWS Cloud9 platform.
• Integrating AWS Cloud9 with other AWS services for advanced deployments.

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

This instructor-led, live training (available online or onsite) targets intermediate to advanced cloud practitioners who want to consolidate 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

• 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 Norway (onsite or remote) targets 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 Norway (onsite or remote) is designed for developers who want to use AWS Lambda to build and deploy services and applications to the cloud, without needing to manage 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 Norway (online or onsite) is designed for advanced-level professionals aiming to deepen their understanding of DevOps practices and streamline development processes using AWS Cloud9.

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

• Set up and configure AWS Cloud9 to support DevOps workflows.
• Implement continuous integration and continuous delivery (CI/CD) pipelines.
• Automate testing, monitoring, and deployment procedures using AWS Cloud9.
• Integrate AWS services such as Lambda, EC2, and S3 into DevOps workflows.
• Leverage source control systems like GitHub or GitLab within AWS Cloud9.

This instructor-led, live training in Norway (online or onsite) is designed for 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 solid understanding of IoT architecture and its fundamental operations.
• Examining the concepts of 'Things' and 'Sensors,' the broader Internet of Things landscape, and aligning business needs with appropriate IoT solutions.
• Reviewing the full spectrum of IoT software layers: hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Exploring critical IoT functionalities: fleet management, data visualization, SaaS-based facility and data visualization, alert systems, sensor onboarding, and geo-fencing.
• Mastering the basics of device-to-cloud communication via the MQTT protocol.
• Linking IoT devices to AWS infrastructure using MQTT and AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for computational tasks and Amazon DynamoDB for efficient data storage.
• Connecting a Raspberry Pi device to AWS IoT Core to enable seamless data exchange.
• Participating in a practical lab session: constructing a smart device utilizing a Raspberry Pi and AWS IoT Core.
• Visualizing sensor data and establishing communication with web interfaces.