AWS Cloud9 and Python: A Practical Guide Training Course

This instructor-led, live training session at Germany (available online or on-site) is tailored for system administrators and IT professionals at a beginner to intermediate level. It aims to provide hands-on proficiency in managing AWS cloud services while preparing learners for the AWS Certified SysOps Administrator - Associate exam.

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

• Securely setting up and configuring AWS services and resources.
• Managing user identities, permissions, and access to AWS resources.
• Designing and deploying scalable, highly available, and fault-tolerant systems on AWS.
• Implementing and managing data flow to and from AWS.
• Optimizing AWS service usage to ensure efficient operation and cost management.

This instructor-led, live training in Germany (available online or on-site) is designed for intermediate-level IT professionals aiming to master the efficient construction, training, and deployment of AI models using AWS tools and services.

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

• Understanding the AI/ML services offered by AWS.
• Setting up and managing AI/ML environments on AWS.
• Gaining hands-on experience in building, training, and deploying AI models using Amazon SageMaker.
• Learning to utilize various AWS AI services for specific use cases.

This instructor-led live training in Germany, delivered online or onsite, targets beginner-level developers seeking to set up and leverage AWS Cloud9 for their cloud projects.

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

• Understand the structure and components of the AWS Cloud9 environment.
• Set up and manage their own AWS Cloud9 development workspace.
• Develop and deploy simple applications using AWS Cloud9.
• Become proficient with the collaborative features offered by AWS Cloud9.

This instructor-led, live training in Germany (delivered online or onsite) is designed for intermediate-level data scientists and analysts looking to optimize their data science workflows using AWS Cloud9.

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

• Establish a data science environment in AWS Cloud9.
• Execute data analysis using Python, R, and Jupyter Notebook within Cloud9.
• Integrate AWS Cloud9 with AWS data services such as S3, RDS, and Redshift.
• Utilize AWS Cloud9 for the development and deployment of machine learning models.
• Optimize cloud-based workflows for enhanced data analysis and processing efficiency.

This instructor-led, live training offered in Germany (onsite or remote) is tailored for engineers looking to deploy and manage IoT devices on AWS.

By the conclusion of this session, participants will be equipped to build an IoT platform that encompasses the deployment and management of backends, gateways, and devices on AWS.

This live, instructor-led training in Germany, offered onsite or remotely, targets developers seeking to utilize AWS Lambda for creating and deploying cloud services and applications. It removes the burden of managing the underlying execution infrastructure, such as servers, VMs, containers, availability, scalability, and storage.

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

• Configure AWS Lambda to execute functions.
• Understand FaaS (Functions as a Service) and the benefits of serverless development.
• Build, upload, and run AWS Lambda functions.
• Connect Lambda functions to diverse event sources.
• Package, deploy, monitor, and resolve issues in Lambda-based applications.

This instructor-led, live session in Germany (online or in-person) is tailored for intermediate Python developers and data analysts seeking to deepen their expertise in data analysis and manipulation through the use of Pandas and NumPy.

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

• Establish a development environment featuring Python, Pandas, and NumPy.
• Build data analysis applications with Pandas and NumPy.
• Carry out advanced data wrangling, sorting, and filtering processes.
• Execute aggregate operations and analyze time-series data.
• Visualize data using Matplotlib and additional visualization tools.
• Debug and enhance the performance of their data analysis code.

This instructor-led, live training in Germany (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 Germany (online or on-site) targets intermediate-level professionals aiming to proficiently build, deploy, and sustain serverless applications on AWS Cloud9 and AWS Lambda.

By the end of this session, participants will possess the capability to:

• Comprehend the basics of serverless architecture.
• Configure AWS Cloud9 for serverless application development.
• Build, test, and release serverless applications using AWS Lambda.
• Combine AWS Lambda with other AWS services, such as API Gateway and S3.
• Enhance serverless applications for superior performance and cost efficiency.

This live, instructor-led training (available online or 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 conclusion of this training, participants will be equipped to:

• Set up a development environment that seamlessly integrates FastAPI, React, and MongoDB.
• Comprehend the fundamental concepts, features, and benefits inherent to the FARM stack.
• Learn how to construct REST APIs using FastAPI.
• Learn how to design interactive applications using React.
• Develop, test, and deploy complete applications (front end and back end) using the FARM stack.

This live, instructor-led training in Germany (available online or in-person) is designed for developers seeking to utilize FastAPI with Python to efficiently build, test, and deploy RESTful APIs.

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

• Configure the essential development environment for API creation using Python and FastAPI.
• Accelerate API development with minimal complexity by leveraging the FastAPI library.
• Master the creation of data models and schemas grounded in Pydantic and OpenAPI specifications.
• Establish database connections for APIs utilizing SQLAlchemy.
• Enforce security and authentication frameworks within APIs by applying FastAPI’s native utilities.
• Generate container images and execute the deployment of web APIs to cloud servers.