Test Automation with Selenium and Python Training Course

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

• Install and configure Maven.
• Automate testing processes using Selenium.
• Manage GIT repositories.
• Integrate continuous integration workflows.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical activities.
• Hands-on implementation within a live laboratory environment.

Customization Options

• To request a tailored training session for this course, please contact us to make arrangements.

This intensive, hands-on course explores advanced Python techniques, engineering best practices, and widely used design patterns to help you build Python applications that are maintainable, testable, and high-performing. It places emphasis on modern tooling, type hinting, concurrency models, architectural patterns, and deployment-ready workflows.

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

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

• Enhance code reliability by applying Python typing, dataclasses, and type-checking.
• Structure robust applications using design patterns and architectural principles.
• Correctly implement concurrency and parallelism utilizing asyncio and multiprocessing.
• Develop well-tested code through the use of pytest, property-based testing, and CI pipelines.
• Profile, optimize, and harden Python applications for production environments.
• Package, distribute, and deploy Python projects employing modern tools and containers.

Course Format

• Interactive lectures paired with concise demonstrations.
• Daily hands-on labs and coding exercises.
• A capstone mini-project that integrates patterns, testing, and deployment.

Course Customization Options

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

In this instructor-led live training in France, 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.

During this instructor-led live training, participants will master advanced techniques to enhance their automated test suites and effectively drive Selenium.

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

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

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced ML engineers, AI developers, and software engineers seeking to build robust, production-ready autonomous agents using Python.

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

• Design and implement the agent loop and decision-making workflows.
• Integrate external tools and APIs to expand 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.

Course Format

• 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 course offers a practical exploration of Data Science and AI through Python, empowering professionals with the capabilities to analyze data, construct machine learning models, and implement AI-powered applications within business environments. It addresses CRISP-DM methodologies, statistical analysis, supervised and unsupervised learning, deep learning with Tensorflow, natural language processing, big data analytics via Spark, and data-driven storytelling. This program is ideal for beginners aiming to obtain a Python data science certification and acquire career-ready analytics skills.

Artificial Intelligence with Python involves building intelligent systems by leveraging Python’s robust ecosystem of AI and machine learning libraries.

This instructor-led live training, available online or onsite, is designed for intermediate Python programmers looking to design, implement, and deploy AI solutions using Python.

Upon completing this training, participants will be able to:

• Implement AI algorithms using Python’s core AI libraries.
• Work with supervised, unsupervised, and reinforcement learning models.
• Integrate AI solutions into existing applications and workflows.
• Evaluate model performance and optimize for accuracy and efficiency.

Format of the Course also allows for the evaluation of participants.

• Interactive lecture and discussion.
• Extensive exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in France (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:

• Configure the environment to begin building big data processing solutions using 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 France (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, offered online or onsite, is intended for developers aiming to leverage 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 France (online or onsite) targets developers who wish to use FastAPI with Python to build, test, and deploy RESTful APIs more easily and quickly.

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

• Set up the necessary development environment to develop APIs with Python and FastAPI.
• Create APIs quicker and easier using the FastAPI library.
• Learn how to create data models and schemas based on Pydantic and OpenAPI.
• Connect APIs to a database using SQLAlchemy.
• Implement security and authentication in APIs using the FastAPI tools.
• Build container images and deploy web APIs to a cloud server.

This instructor-led, live training in France (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 in France (online or onsite) introduces participants to automated testing using 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 course offers comprehensive training on managing testing initiatives by leveraging the Selenium test suite and implementing continuous testing practices with Jenkins.

Target Audience:

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

Upon completing the Selenium training, participants will be capable of:

• Effectively applying the Selenium test suite in real-world projects
• Utilizing Selenium for cross-browser testing
• Distributing test execution using Selenium Grid
• Executing regression tests with Selenium within Jenkins
• Generating test reports and periodic summaries using Jenkins

This training program equips learners with the skills to manage testing initiatives, offering practical experience in web application testing, functional automation, and cross-browser testing using the Selenium framework.

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

After completing the training, participants will be capable of applying Selenium WebDriver effectively in professional projects.