Test Automation with Selenium and Python Training Course

Upon completion of this training, participants will be capable of:

• Installing and configuring Maven.
• Implementing test automation using Selenium.
• Managing repositories with Git.
• Setting up continuous integration workflows.

Course Delivery Format

• Interactive lectures and group discussions.
• Ample exercises and hands-on practice sessions.
• Practical implementation within a live-lab environment.

Customization Options

• For requests regarding customized training for this course, please contact us to arrange.

This intensive, hands-on course explores advanced Python techniques, engineering best practices, and commonly utilized design patterns to help you build maintainable, testable, and high-performance Python applications. The curriculum emphasizes modern tooling, type hinting, concurrency models, architectural patterns, and deployment-ready workflows.

Delivered as instructor-led, live training (available online or onsite), this program targets intermediate to advanced Python developers seeking to adopt professional practices and patterns for production-grade Python systems.

Upon completion of this training, participants will be capable of:

• Applying Python typing, dataclasses, and type-checking to enhance code reliability.
• Utilizing design patterns and architectural principles to structure robust applications.
• Correctly implementing concurrency and parallelism using asyncio and multiprocessing.
• Constructing well-tested code through pytest, property-based testing, and CI pipelines.
• Profiling, optimizing, and hardening Python applications for production environments.
• Packaging, distributing, and deploying Python projects using modern tools and containerization.

Course Format

• Interactive lectures complemented by short demonstrations.
• Hands-on labs and coding exercises conducted daily.
• A capstone mini-project that integrates patterns, testing, and deployment strategies.

Customization Options

• To request customized training or specific focus areas (such as data, web, or infrastructure), please contact us to make arrangements.

In this instructor-led live training held in Taiwan, participants will learn how to enhance an automated test suite using advanced techniques to drive Selenium.

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

• Resolve complex web application test automation issues with Selenium.
• Apply regular expressions and pattern-based verification techniques.
• Handle exceptions that halt test execution.
• Programmatically search for web objects.
• Dynamically capture data from web controls.
• Create a data-driven testing framework.
• Distribute testing with Selenium Grid.

In this instructor-led live training, participants will discover how to elevate their automated test suites by applying advanced techniques to drive Selenium.

Target Audience: software testers, test managers, and quality assurance professionals.

This course provides practical engineering techniques for designing, building, testing, and deploying agentic (autonomous) systems using Python. It covers the agent loop, tool integrations, memory and state management, orchestration patterns, safety controls, and production considerations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level ML engineers, AI developers, and software engineers who wish to build robust, production-ready autonomous agents using Python.

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

• Design and implement the agent loop and decision-making workflows.
• Integrate external tools and APIs to extend agent capabilities.
• Implement short-term and long-term memory architectures for agents.
• Coordinate multi-step orchestrations and agent composability.
• Apply safety, access control, and observability best practices for deployed agents.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs building agents with Python and popular SDKs.
• Project-based exercises that produce deployable prototypes.

Course Customization Options

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

This instructor-led, live training in Taiwan (online or onsite) is designed for data scientists and software engineers who wish to use Dask with the Python ecosystem to build, scale, and analyze large datasets.

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

• Set up the environment to begin building big data processing with Dask and Python.
• Explore the features, libraries, tools, and APIs available in Dask.
• Understand how Dask accelerates parallel computing in Python.
• Learn how to scale the Python ecosystem (including Numpy, SciPy, and Pandas) using Dask.
• Optimize the Dask environment to maintain high performance when handling large datasets.

This instructor-led, live training in Taiwan (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 instructor-led live training (online or onsite) is designed for developers who wish to use the FARM (FastAPI, React, and MongoDB) stack to build dynamic, high-performance, and scalable web applications.

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

• Set up the necessary development environment that integrates FastAPI, React, and MongoDB.
• Understand the key concepts, features, and benefits of the FARM stack.
• Learn how to build REST APIs with FastAPI.
• Learn how to design interactive applications with React.
• Develop, test, and deploy applications (front end and back end) using the FARM stack.

This instructor-led live training in Taiwan (online or onsite) is tailored for developers who wish to utilize FastAPI with Python to build, test, and deploy RESTful APIs with greater ease and speed.

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

• Configure the necessary development environment for creating APIs with Python and FastAPI.
• Develop APIs more quickly and effortlessly using the FastAPI library.
• Learn to create data models and schemas based on Pydantic and OpenAPI standards.
• Integrate APIs with databases using SQLAlchemy.
• Implement security measures and authentication within APIs using FastAPI tools.
• Construct container images and deploy web APIs to cloud servers.

This instructor-led, live training in Taiwan (online or onsite) is aimed at data scientists and developers who wish to use Modin to build and implement parallel computations with Pandas for faster data analysis.

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

• Set up the necessary environment to start developing Pandas workflows at scale with Modin.
• Understand the features, architecture, and advantages of Modin.
• Know the differences between Modin, Dask, and Ray.
• Perform Pandas operations faster with Modin.
• Implement the entire Pandas API and functions.

This instructor-led live training in Taiwan (online or onsite) is aimed at developers and testers who wish to perform test automation using C# and Selenium.

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

• Install and configure Selenium WebDriver.
• Write tests using Selenium, C#, and Nunit with Visual Studio IDE.
• Run C# Selenium test automation.

This instructor-led, live training (available online or onsite) targets DevOps engineers who want to leverage Selenium to execute tests within Docker containers.

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

• Establish test automation infrastructure for on-demand testing.
• Develop a test automation framework using Java.
• Construct a CI/CD pipeline from the ground up using Jenkins and Docker.

This instructor-led, live training in Taiwan (online or onsite) introduces participants to automated testing with Selenium WebDriver and C# in Visual Studio. If you do not have C# programming experience or wish to brush up on C#, please check out the course: C# for Automation Test Engineers.

This program offers comprehensive training on managing testing initiatives using the Selenium test suite and implementing continuous testing workflows with Jenkins.

Target Audience:

• Software test engineers
• Software developers engaged in agile development processes
• Release managers
• QA engineers

Upon completion of the Selenium training, participants will be able to:

• Effectively utilize the Selenium test suite in real-world projects
• Conduct cross-browser testing using Selenium
• Distribute test execution via Selenium Grid
• Execute regression tests with Selenium within Jenkins
• Generate test and periodic reports using Jenkins

This course offers training in managing testing projects, providing practical experience in web application testing, functional test automation, and cross-browser automation using the Selenium test suite.

This course is designed for software test engineers and manual testers.

After completing this training, participants will be able to effectively utilize Selenium WebDriver in real-world projects.