AWS Cloud9 and Python: A Practical Guide Training Course

This live, instructor-led training in Denmark (online or on-site) is tailored for system administrators and IT professionals ranging from beginner to intermediate levels, aiming to provide hands-on proficiency in managing AWS cloud services and preparing for the AWS Certified SysOps Administrator - Associate exam.

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

• Establish and configure AWS services and resources with security in mind.
• Oversee user identities, permissions, and access rights for AWS resources.
• Architect and deploy systems on AWS that are scalable, highly available, and fault-tolerant.
• Implement and control data flows into and out of the AWS environment.
• Refine the utilisation of AWS services to guarantee operational efficiency and cost control.

This instructor-led live training, delivered in Denmark (either online or onsite), is tailored for intermediate-level IT professionals seeking to effectively utilize AWS tools and services for the construction, training, and deployment of AI models.

By the conclusion of this course, participants will be equipped to:

• Understand the suite of AI/ML services available through AWS.
• Set up and oversee AI/ML environments on the AWS platform.
• Develop hands-on skills in building, training, and deploying AI models with Amazon SageMaker.
• Utilize a variety of AWS AI services for targeted use cases.

This live, instructor-led session in Denmark (either online or onsite) targets beginner-level developers looking to set up and leverage AWS Cloud9 for cloud-based initiatives.

By the conclusion of this program, attendees will be equipped to:

• Comprehend the AWS Cloud9 environment and its constituent parts.
• Establish a dedicated AWS Cloud9 development workspace.
• Create and deploy simple applications using AWS Cloud9.
• Gain proficiency in AWS Cloud9's collaboration tools.

This live, instructor-led training in Denmark (available online or onsite) is tailored for intermediate-level data scientists and analysts aiming to optimize their data science workflows with AWS Cloud9.

By the conclusion of this program, participants will have the capability to:

• Configure a comprehensive data science environment in AWS Cloud9.
• Conduct data analysis utilizing Python, R, and Jupyter Notebook within Cloud9.
• Integrate AWS Cloud9 with essential AWS data services such as S3, RDS, and Redshift.
• Apply AWS Cloud9 for the creation and release of machine learning models.
• Refine cloud-based workflows to enhance data analysis and processing performance.

This instructor-led live training, delivered in Denmark (either on-site or remotely), is tailored for engineers seeking to deploy and manage IoT devices on AWS.

By the end of the course, participants will be equipped to build an IoT platform encompassing the deployment and management of backends, gateways, and devices on the AWS platform.

This instructor-led live training, available Denmark (onsite or remote), is tailored for developers who intend to leverage AWS Lambda to construct and deploy cloud services and applications. It removes the burden of provisioning the underlying execution environment, such as servers, VMs, containers, and managing availability, scalability, and storage.

By the end of the program, participants will be able to:

• Configure AWS Lambda to execute functions.
• 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 serverless applications.

This instructor-led, live training in Denmark (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 live, instructor-guided training in Denmark, available online or on-site, is tailored for senior professionals looking to enhance their DevOps expertise and optimize development processes through AWS Cloud9.

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

• Configure AWS Cloud9 for DevOps workflows.
• Construct CI/CD pipelines.
• Automate testing, monitoring, and deployments with AWS Cloud9.
• Integrate AWS services like Lambda, EC2, and S3 into DevOps streams.
• Apply source control tools such as GitHub or GitLab within AWS Cloud9.

This instructor-led live training, offered in Denmark (either online or onsite), is tailored for intermediate-level professionals eager to master the effective construction, deployment, and upkeep of serverless applications using AWS Cloud9 and AWS Lambda.

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

• Comprehend the essential elements of serverless architecture.
• Prepare AWS Cloud9 for serverless application development.
• Develop, test, and deploy serverless applications using AWS Lambda.
• Integrate AWS Lambda with other AWS services, including API Gateway and S3.
• Refine serverless applications to ensure peak performance and cost efficiency.

This live, instructor-led training, offered both online and on-site, is tailored for developers aiming to utilize the FARM (FastAPI, React, and MongoDB) stack to build dynamic, high-performance, and scalable web applications.

By the end of this program, participants will be equipped to:

• Configure a development environment that integrates FastAPI, React, and MongoDB.
• Comprehend the essential concepts, capabilities, and benefits of the FARM stack.
• Develop REST APIs using FastAPI.
• Design interactive user interfaces with React.
• Build, test, and deploy full-stack applications (front-end and back-end) using the FARM stack.

This instructor-led live training in Denmark (available online or on-site) is designed for developers aiming to leverage FastAPI with Python to build, test, and deploy RESTful APIs with improved ease and speed.

By the end of the session, participants will be capable of:

• Establishing the required development environment for creating APIs with Python and FastAPI.
• Accelerating API development using the FastAPI library.
• Gaining proficiency in creating data models and schemas based on Pydantic and OpenAPI.
• Connecting APIs to databases using SQLAlchemy.
• Implementing security and authentication features using FastAPI utilities.
• Building container images and deploying web APIs to cloud servers.