Test Automation with Selenium and Python Training Course

Upon completing this training, participants will be capable of:

• Installing and setting up Maven.
• Automating tests using Selenium.
• Managing GIT repositories.
• Implementing continuous integration workflows.

Course Format

• Engaging lectures and interactive discussions.
• Extensive exercises and practical sessions.
• Hands-on implementation within a live laboratory environment.

Customization Options

• To request tailored training for this course, please reach out to us to make the necessary arrangements.

This intensive, hands-on course explores advanced Python techniques, engineering best practices, and widely adopted design patterns to help you build maintainable, testable, and high-performance Python applications. It focuses on modern tooling, type hints, concurrency models, architectural patterns, and deployment-ready workflows.

Delivered as an instructor-led, live training session (available online or onsite), this program is designed for intermediate to advanced Python developers who aim to adopt professional practices and patterns for production-grade Python systems.

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

• Utilize Python typing, dataclasses, and type-checking to enhance code reliability.
• Apply design patterns and architectural principles to structure robust applications.
• Effectively implement concurrency and parallelism using asyncio and multiprocessing.
• Develop well-tested code using pytest, property-based testing, and CI pipelines.
• Profile, optimize, and secure Python applications for production environments.
• Package, distribute, and deploy Python projects using modern tools and containerization.

Course Format

• Interactive lectures accompanied by concise demonstrations.
• Practical labs and coding exercises each day.
• A capstone mini-project that integrates patterns, testing, and deployment.

Customization Options

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

In this instructor-led, live training conducted in Argentina, 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.

This instructor-led live training equips participants with the skills to elevate automated test suites by leveraging advanced techniques for driving Selenium.

Target Audience: Software testers, Test Managers, and Quality Assurance professionals.

This course delivers practical engineering methodologies for designing, constructing, testing, and deploying agentic (autonomous) systems using Python. Key topics include the agent loop, tool integrations, memory and state management, orchestration patterns, safety controls, and production-grade considerations.

Delivered as an instructor-led, live training session (available online or onsite), this program targets intermediate to advanced ML engineers, AI developers, and software engineers looking to build robust, production-ready autonomous agents in Python.

Upon completing this training, participants will be equipped to:

• Design and implement agent loops and decision-making workflows.
• Integrate external tools and APIs to enhance agent capabilities.
• Implement memory architectures for both short-term and long-term state management.
• Coordinate multi-step orchestrations and ensure agent composability.
• Apply best practices for safety, access control, and observability in deployed agents.

Course Format

• Interactive lectures and discussions.
• Hands-on labs focused on building agents with Python and popular SDKs.
• Project-based exercises resulting in deployable prototypes.

Customization Options

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

This course provides a practical exploration of Data Science and AI utilizing Python, empowering professionals with the capabilities to analyze data, construct machine learning models, and implement AI-powered applications within business environments. It covers CRISP-DM methodologies, statistical analysis, supervised and unsupervised learning techniques, deep learning with TensorFlow, natural language processing, big data processing with Spark, and data-driven storytelling. It is an ideal choice for beginners pursuing a Python data science certification and seeking career-ready analytics training.

Artificial Intelligence with Python focuses on building intelligent systems by leveraging Python’s comprehensive ecosystem of AI and machine learning libraries.

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

Upon completing this training, participants will be equipped to:

• Develop AI algorithms utilizing Python’s primary AI libraries.
• Apply supervised, unsupervised, and reinforcement learning models.
• Integrate AI solutions seamlessly into existing applications and workflows.
• Assess model performance and optimize for both accuracy and efficiency.

Course Format

• Engaging lectures and interactive discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live laboratory environment.

Customization Options

• To arrange a customized training session for this course, please get in touch with us.

This instructor-led live training in Argentina (available online or onsite) targets data scientists and software engineers who intend to utilize Dask alongside the Python ecosystem to construct, scale, and analyze large datasets.

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

• Configure the environment necessary to begin developing big data solutions using Dask and Python.
• Investigate the features, libraries, tools, and APIs provided by Dask.
• Comprehend how Dask enhances parallel computing capabilities in Python.
• Acquire the skills to scale the Python ecosystem, including NumPy, SciPy, and Pandas, using Dask.
• Optimize the Dask environment to ensure high performance when managing large datasets.

This instructor-led, live training in Argentina (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, targets developers who want to employ the FARM (FastAPI, React, and MongoDB) stack to construct dynamic, high-performance, and scalable web applications.

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

• Set up the required development environment integrating FastAPI, React, and MongoDB.
• Understand the fundamental 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 Argentina (online or onsite) is designed for developers who want to use Python with FastAPI 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 Argentina (online or onsite) is designed for 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 Argentina (online or onsite) provides an introduction to automated testing using Selenium WebDriver and C# within Visual Studio. If you lack experience with C# programming or wish to refresh your skills, please consider the course: C# for Automation Test Engineers.

This course offers comprehensive training on managing testing projects through the Selenium test suite and implementing continuous testing with Jenkins.

Target Audience:

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

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

• Applying the Selenium test suite effectively in real-world projects
• Conducting cross-browser testing using Selenium
• Distributing tests via Selenium Grid
• Executing regression tests with Selenium within Jenkins
• Generating test reports and periodic summaries using Jenkins

This course delivers comprehensive training for managing testing initiatives, offering practical, hands-on experience in web application testing, functional test automation, and cross-browser automation using the Selenium test suite.

The primary audience for this course includes software test engineers and manual testers.

Upon completing the training, participants will be equipped to effectively utilize Selenium WebDriver in real-world projects.