Test Automation with Selenium and Python Training Course

This rigorous, practical course delves into advanced Python techniques, engineering best practices, and widely adopted design patterns to help you construct maintainable, testable, and high-performance Python applications. The curriculum highlights modern tooling, type hinting, concurrency models, architectural patterns, and deployment-ready workflows.

Delivered as live instructor-led training (available online or onsite), this programme is tailored for intermediate to advanced Python developers aiming to embrace professional practices and patterns essential for production-grade Python systems.

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

• Utilise Python typing, dataclasses, and type-checking to enhance code reliability.
• Employ design patterns and architectural principles to structure robust applications.
• Correctly implement concurrency and parallelism using asyncio and multiprocessing.
• Develop well-tested code with pytest, property-based testing, and CI pipelines.
• Profile, optimise, and harden Python applications for production environments.
• Package, distribute, and deploy Python projects using modern tools and containers.

Format of the Course

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

Course Customisation Options

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

In this instructor-led, live training conducted in South Africa, 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 course imparts practical engineering methodologies for designing, constructing, 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-related considerations.

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

Upon completion 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.

Explores practical methodologies for Data Science and AI utilizing Python, empowering professionals with the capabilities to analyse data, construct machine learning models, and implement AI-powered solutions within business environments; Addresses CRISP-DM workflows, statistical analysis, supervised and unsupervised learning, deep learning via Tensorflow, natural language processing, big data processing with Spark, and data-driven storytelling; Perfect for novices pursuing a Python data science certification and comprehensive analytics training to enhance career prospects.

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 both online and onsite, is designed for intermediate-level Python programmers who want to design, implement, and deploy AI solutions using Python.

By the end of 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

• Interactive lecture and discussion.
• Lots of 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 South Africa (online or onsite) is designed for business analysts who wish to automate trading using algorithmic strategies, Python, and R.

Upon completing this training, participants will be able to:

• Utilise algorithms to rapidly buy and sell securities at specific intervals.
• Lower trading costs through the use of algorithmic trading techniques.
• Automatically monitor stock prices and execute trades.

NobleProg MEA’s Automated Testing with Selenium course serves as a thorough guide to mastering Selenium for test automation. This curriculum encompasses everything from Selenium fundamentals and core capabilities to sophisticated topics such as cross-browser testing, test integration, and mobile application testing via Appium. Students will gain proficiency in using Selenium IDE and WebDriver to automate web applications, efficiently handle test data, and utilize tools like Maven and JUnit for project management and framework construction. Whether you are just beginning your journey with Selenium or aiming to upgrade your existing expertise, this course delivers the vital theoretical knowledge and practical experience required to succeed in automated testing.

This instructor-led, live training in South Africa (online or onsite) is aimed at 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 start 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 (Numpy, SciPy, and Pandas) using Dask.
• Optimize the Dask environment to maintain high performance in handling large datasets.

This instructor-led, live training in South Africa (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) targets 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 South Africa (online or onsite) is aimed at developers who wish to use FastAPI with Python to build, test, and deploy RESTful APIs easier and faster.

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 South Africa (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 South Africa (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 provides comprehensive training on managing testing projects using the Selenium test suite and implementing continuous testing with Jenkins.

Target Audience:

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

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

• Effectively utilise the Selenium test suite in real-world projects
• Employ Selenium for cross-browser testing
• Distribute tests using Selenium Grid
• Execute regression tests in Jenkins
• Generate test reports and periodic reports using Jenkins

This programme offers comprehensive training on managing testing initiatives, delivering 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.

By the end of the training, participants will be proficient in utilising Selenium WebDriver within real-world project environments.