AWS Cloud9 and Python: A Practical Guide Training Course

This live, instructor-led training Latvia (online or onsite) targets beginner to intermediate system administrators and IT professionals seeking hands-on proficiency in AWS cloud management and readiness for the AWS Certified SysOps Administrator - Associate exam.

Following the course, attendees will be capable of:

• Securely setting up and configuring AWS services and resources.
• Handling user identities, permissions, and access rights for AWS resources.
• Designing and deploying AWS-based systems that are scalable, highly available, and fault-tolerant.
• Managing data flow into and out of the AWS environment.
• Optimizing AWS service usage for efficient operations and cost management.

This instructor-led, live training delivered in Latvia (online or onsite) is designed for intermediate-level IT professionals seeking to master the use of AWS tools and services for the efficient construction, training, and deployment of AI models.

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

• Gain a clear understanding of the AI/ML services offered by AWS.
• Effectively set up and administer AI/ML environments on AWS.
• Develop hands-on proficiency in building, training, and deploying AI models using Amazon SageMaker.
• Learn to apply diverse AWS AI services to targeted use cases.

This live, instructor-led training is delivered in Latvia (online or on-site) and targets beginner-level developers who aim to deploy and operate AWS Cloud9 for cloud-based initiatives.

Upon completion, participants will be equipped to:

• Grasp the structure of the AWS Cloud9 environment and its key elements.
• Configure a personal AWS Cloud9 development workspace.
• Build and execute basic applications using AWS Cloud9.
• Become proficient with the collaborative tools available in AWS Cloud9.

This instructor-led, live training, conducted in Latvia (either online or onsite), is designed for intermediate-level data scientists and analysts seeking to optimize their data science workflows with AWS Cloud9.

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

• Establishing a data science environment in AWS Cloud9.
• Executing data analysis using Python, R, and Jupyter Notebook in Cloud9.
• Integrating AWS Cloud9 with AWS data services such as S3, RDS, and Redshift.
• Applying AWS Cloud9 to machine learning model creation and deployment.
• Streamlining cloud-based workflows for efficient data analysis and processing.

This instructor-led, live training in Latvia (onsite or remote) is aimed at 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 Latvia (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 Latvia, offered either online or onsite, is tailored for intermediate-level Python developers and data analysts aiming to strengthen their data analysis and manipulation skills using Pandas and NumPy.

By the end of this session, 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 instructor-led, live training in Latvia (online or on-site) is designed for advanced professionals aiming to expand their DevOps knowledge and enhance development processes utilizing AWS Cloud9.

By the conclusion of the training, participants will be equipped to:

• Configure and set up 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 like Lambda, EC2, and S3 into DevOps workflows.
• Utilize source control systems such as GitHub or GitLab within AWS Cloud9.

This instructor-led, live training in Latvia (available online or onsite) targets intermediate-level professionals looking 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:

• Comprehend the basics of serverless architecture.
• Set up AWS Cloud9 for developing serverless applications.
• Develop, test, and deploy serverless applications using AWS Lambda.
• Integrate AWS Lambda with other AWS services, including API Gateway and S3.
• Enhance serverless applications for superior performance and cost efficiency.

This live, instructor-led training, offered online or onsite, targets developers aiming to utilize the FARM (FastAPI, React, and MongoDB) stack to create dynamic, high-performance, and scalable web applications.

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

• Configure a development environment that seamlessly integrates FastAPI, React, and MongoDB.
• Comprehend the essential concepts, functionalities, and benefits associated with the FARM stack.
• Implement REST APIs utilizing FastAPI.
• Build interactive applications using React.
• Manage the development, testing, and deployment of applications, including both front-end and back-end elements, through the FARM stack.

This live, instructor-led training in Latvia (delivered online or on-site) is tailored for developers aiming to utilize FastAPI alongside Python to construct, test, and deploy RESTful APIs with enhanced ease and velocity.

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

• Configure the essential development environment for API development using Python and FastAPI.
• Streamline the creation of APIs by applying the FastAPI library.
• Gain proficiency in designing data models and schemas using Pydantic and OpenAPI.
• Link APIs to database systems using SQLAlchemy.
• Enforce security and authentication mechanisms in APIs through FastAPI tools.
• Generate container images and execute the deployment of web APIs to cloud servers.