AWS Cloud9 and Python: A Practical Guide Training Course

This live, instructor-led training, conducted in Thailand (either online or onsite), is designed for system administrators and IT professionals with beginner to intermediate proficiency who seek to build hands-on expertise in managing AWS cloud services and prepare for the AWS Certified SysOps Administrator - Associate exam.

Upon completing this training, participants will possess the ability to:

• Securely set up and configure AWS services and resources.
• Administer user identities, permissions, and access rights to AWS resources.
• Design and implement scalable, highly available, and fault-tolerant systems on AWS.
• Execute and monitor data flow into and out of AWS.
• Optimize the use of AWS services to ensure operational efficiency and cost control.

This live, instructor-led training in Thailand (online or onsite) is designed for intermediate-level IT professionals aiming to effectively utilize AWS tools and services for building, training, and deploying AI models.

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

• Understanding the AI/ML services available on AWS.
• Setting up and managing AI/ML environments on the AWS platform.
• Gaining practical experience in constructing, training, and deploying AI models via Amazon SageMaker.
• Leveraging diverse AWS AI services for targeted use cases.

This live, instructor-led training session—delivered in Thailand—is designed for entry-level developers looking to implement and utilize AWS Cloud9 for their cloud-based initiatives.

By the conclusion of this program, learners will be prepared to:

• Comprehend the AWS Cloud9 environment and its constituent elements.
• Configure a dedicated AWS Cloud9 development workspace.
• Develop and deploy simple applications using AWS Cloud9.
• Master the collaborative features available within AWS Cloud9.

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

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

• Establish a complete data science environment within AWS Cloud9.
• Execute data analysis using Python, R, and Jupyter Notebooks in the Cloud9 workspace.
• Integrate AWS Cloud9 with essential AWS data services such as S3, RDS, and Redshift.
• Utilize AWS Cloud9 for both the development and deployment of machine learning models.
• Refine cloud-based workflows to enhance data analysis and processing efficiency.

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

By the end of this course, learners will be equipped to build a comprehensive IoT platform, covering the deployment and management of backends, gateways, and devices on the AWS infrastructure.

This instructor-led, live training in Thailand (either onsite or remote) is tailored for developers who intend to use AWS Lambda to build and deploy cloud services and applications, freeing them from concerns over provisioning the execution environment, 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 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 Thailand (available online or onsite) targets intermediate Python developers and data analysts seeking to elevate their proficiency in data analysis and manipulation through Pandas and NumPy.

Upon completion of this training, participants will have the ability to:

• Configure a development environment that integrates Python, Pandas, and NumPy.
• Build data analysis applications utilizing Pandas and NumPy.
• Carry out advanced data wrangling, sorting, and filtering processes.
• Execute aggregate operations and analyze time-series datasets.
• Create data visualizations using Matplotlib and additional visualization libraries.
• Debug and refine data analysis code for optimal performance.

This live, instructor-led training, delivered online or onsite, is specifically designed for advanced professionals looking to enhance their mastery of DevOps practices and refine their development processes through the use of AWS Cloud9.

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

• Establish and configure AWS Cloud9 environments tailored for DevOps workflows.
• Design and implement continuous integration and continuous delivery (CI/CD) pipelines.
• Streamline testing, monitoring, and deployment processes through automation within AWS Cloud9.
• Seamlessly integrate key AWS services, including Lambda, EC2, and S3, into DevOps operations.
• Leverage source control platforms such as GitHub or GitLab directly within the AWS Cloud9 environment.

This live, instructor-led training in Thailand (online or on-site) is designed for intermediate professionals aiming to effectively build, deploy, and manage serverless applications on AWS Cloud9 and AWS Lambda.

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

• Understanding the basics of serverless architecture.
• Setting up AWS Cloud9 for serverless application development.
• Developing, testing, and deploying serverless applications using AWS Lambda.
• Integrating AWS Lambda with other AWS services such as API Gateway and S3.
• Optimizing serverless applications for performance and cost efficiency.

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

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

• Configuring a development environment that seamlessly integrates FastAPI, React, and MongoDB.
• Mastering the key concepts, features, and benefits associated with the FARM stack.
• Learning to build REST APIs using FastAPI.
• Learning to design interactive applications with React.
• Developing, testing, and deploying both frontend and backend applications using the FARM stack.

This live, instructor-led training in Thailand (online or onsite) is designed for developers looking to efficiently build, test, and deploy RESTful APIs using FastAPI and Python.

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

• Establish the necessary development environment for API development with Python and FastAPI.
• Speed up API creation and reduce complexity using the FastAPI library.
• Develop data models and schemas based on Pydantic and OpenAPI.
• Link APIs to a database using SQLAlchemy.
• Apply security and authentication features using FastAPI tools.
• Create container images and deploy web APIs to a cloud server.