AWS Advanced Architecture Training Course

This instructor-led live training in Norway (online or onsite) targets cloud engineers and developers who wish to use CloudFormation to manage infrastructure resources within the AWS ecosystem.

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

• Automate infrastructure management by implementing CloudFormation templates.
• Integrate existing AWS resources into CloudFormation.
• Use StackSets to manage stacks across multiple accounts and regions.

Amazon Redshift is a petabyte-scale cloud-based data warehouse service provided by AWS.

In this instructor-led, live training, participants will learn the fundamentals of Amazon Redshift.

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

• Install and configure Amazon Redshift
• Load, configure, deploy, query, and visualize data with Amazon Redshift

Audience

• Developers
• IT Professionals

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

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

This instructor-led, live training in Norway (online or on-site) targets developers who wish to use Amazon S3 to enable cloud-based storage for their websites, web applications, and/or mobile applications.

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 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 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 (online or onsite) is aimed at developers who wish to install, configure, and manage AWS IoT Greengrass capabilities to create applications for various devices.

By the end of this training, participants will be able to use AWS IoT Greengrass to build, deploy, manage, secure, and monitor applications on intelligent devices.

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:

• Fundamentals of IoT architecture and functionality
• Understanding the concept of “things”, “sensors”, and the internet, alongside the correlation between business processes and IoT
• Key components of IoT software stacks, including hardware, firmware, middleware, cloud infrastructure, and mobile applications
• Core IoT capabilities such as fleet management, data visualization, SaaS-based facility management and data visualization, alerting systems, sensor and device onboarding, and geo-fencing
• Principles of IoT device communication with cloud services via MQTT
• Linking IoT devices to AWS through MQTT and AWS IoT Core
• Integrating AWS IoT Core with AWS Lambda for computation and DynamoDB for data storage
• Connecting Raspberry Pi devices to AWS IoT Core for basic data exchange
• Practical exercises using Raspberry Pi and AWS IoT Core to construct a smart device
• Visualizing sensor data and enabling communication through a web interface