AWS Cloud Practitioner Essentials Training Course

This instructor-led, live training in Sweden (online or onsite) is aimed at 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 Sweden (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 Sweden (online or onsite) is designed for cloud engineers who want to grasp and apply the more intricate elements of AWS architecture. While the course covers many topics similar to those in the AWS Certified Solutions Architect (Professional) certification programs, it is not intended to prepare participants for the exam. Instead, this is a practical, hands-on course that demonstrates how to implement numerous configurations, implementations, and deployments in a live lab environment—skills essential for an AWS Solutions Architect.

Upon completing 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 an application.
• 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 Sweden (online or onsite) is intended for intermediate-level IT professionals who want to learn how to utilize AWS tools and services to efficiently build, train, and deploy AI models.

By the conclusion 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 crafted to assist professionals in becoming proficient with Amazon Web Services (AWS) for cloud enablement. Delivered through real-world examples, the curriculum enables participants to grasp the practical application of key concepts, including cloud computing fundamentals, Amazon Web Services, Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), private clouds, and cloud programming. Upon completion, participants will be equipped to implement their own cloud solutions using services such as EC2 instances and S3 buckets.

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

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

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

• Explain core AWS services and common cloud architectures.
• Assess the business benefits and cost models of migrating workloads to AWS.
• Identify appropriate AWS services for common business problems (compute, storage, databases, networking, analytics).
• Recognize basic security, compliance, and governance considerations in the AWS cloud.
• Outline a simple migration or cloud adoption plan with high-level cost and risk considerations.

Course Format

• Interactive lecture and discussion.
• Instructor-led demonstrations in the AWS console.
• Group exercises and scenario-based workshops.

Course Customization Options

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

This instructor-led training, conducted online or onsite in Sweden, is targeted at beginner-level developers aiming to set up and leverage AWS Cloud9 for cloud-based initiatives.

By the conclusion 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 Sweden (online or onsite) is designed for intermediate-level data scientists and analysts who aim to utilize AWS Cloud9 for streamlined data science workflows.

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

• Establish a data science environment in AWS Cloud9.
• Conduct data analysis using Python, R, and Jupyter Notebook within Cloud9.
• Connect AWS Cloud9 with AWS data services such as S3, RDS, and Redshift.
• Employ AWS Cloud9 for the development and deployment of machine learning models.
• Streamline cloud-based workflows for data analysis and processing.

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

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

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

This instructor-led, live training Sweden (on-site or remote) is targeted at engineers who want 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 Sweden (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 Sweden (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 Sweden (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 Sweden (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:

• Grasping IoT architecture and its fundamental functions.
• Investigating the concepts of "Things" and "Sensors," the Internet of Things, and aligning business functions with IoT solutions.
• A thorough review of IoT software elements: hardware, firmware, middleware, cloud infrastructure, and mobile apps.
• Core IoT capabilities: fleet management, data visualization, SaaS-based facility and data visualization, alerting systems, onboarding sensors and "things," and geo-fencing.
• Basics of IoT device-to-cloud communication via MQTT.
• Linking IoT devices to AWS using MQTT and AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for processing and Amazon DynamoDB for data storage.
• Establishing a connection between a Raspberry Pi and AWS IoT Core for efficient data exchange.
• Practical laboratory session: constructing a smart device using Raspberry Pi and AWS IoT Core.
• Visualizing sensor data and communicating via web interfaces.