35 Automation Testing courses delivered Online

Duration 2 Days 12 CPD hours This course is intended for This course is intended for software testers, architects, engineers, or other related roles, who wish to apply AI to software testing practices within their enterprise. While there are no specific pre-requisites for this course, it would be helpful is the attendee has familiarity with basic scripting (Python preferred) and be comfortable with working from the command line (for courses that add the optional hands-on labs). Attendees without basic scripting skills can follow along with the hands-on labs or demos. Overview This course introduces AI and related technologies from a practical applied software testing perspective. Through engaging lecture and demonstrations presented by our expert facilitator, students will explore: Exploring AI Introduction to Machine Learning Introduction to Deep Learning Introduction to Data Science Artificial Intelligence (AI) in Software Testing Implementing AI in Test Automation Innovative AI Test Automation Tools for the Future Implementing AI in Software Testing / AI in Test Automation is an introductory-level course for attendees new to AI, Machine Learning or Deep Learning who wish to automate software testing tasks leveraging AI. The course explores the essentials of AI, ML and DL and how the integrate into IT business operations and initiatives. Then the course moves to specifics about the skills, techniques and tools used to apply AI to common software testing requirements. EXPLORING AI * AI-Initiatives * The Priority: Excellence * AI- Intelligence Types * The Machine Learning Types * The Quality Learning Initiative * The Inception in Academics * AI - Importance & Applications * The Re-visit * Learning Re-visited via AI * Teaching in the world of AI * Exploring AI for Self-Development * AI In Academics Beyond Academics INTRODUCTION TO MACHINE LEARNING * What is Machine Learning? * Why Machine Learning? * Examples - Algorithms behind Machine Learning INTRODUCTION TO DEEP LEARNING * What is Deep Learning? * Why Deep Learning? * Example - Deep Learning Vs Machine Learning INTRODUCTION TO DATA SCIENCE * What is Data Science? * Why Data Science? * Examples - Use Cases of Data Science ARTIFICIAL INTELLIGENCE (AI) IN SOFTWARE TESTING * What is AI in Software Testing? * The Role of AI Testing * Why do we Need AI in Software Testing? * Pros and Cons of AI in Software Testing * Applications of AI in Software Testing * Is it time for Testers or QA Teams to worry about AI? * Automated Testing with Artificial Intelligence IMPLEMENTING AI IN TEST AUTOMATION * Training the AI Bots * Challenges with AI-powered Applications * Examples - Real World use cases using Artificial Intelligence * Demo - Facial Emotion Detection Using Artificial Intelligence * Demo - Text Analysis API Using Artificial Intelligence * Demo - EYE SPY Mobile App Using Artificial Intelligence INNOVATIVE AI TEST AUTOMATION TOOLS FOR THE FUTURE * Tools used for Implementing AI in Automation Testing * What is NEXT? * AI Test Automation Demo using Testim

This course will help you get started with automation testing of web applications. You will cover the basic and advanced topics of Selenium and Python, along with unit tests, pytest, cross-browser testing, logging infrastructure, automation framework design, Jenkins, and a lot more.

ADVANCED PYTHON TRAINING COURSE DESCRIPTION This course caters to network engineers aiming to enhance both their Python proficiency and network automation skills. Delving deeper into key areas such as netmiko, Nornir, and ncclient, we also focus on automating network testing and validation. Participants gain greater confidence working with Python functions, classes, objects, and error handling. The course additionally introduces more libraries like Scrapli, TTP, pyATS, Genie, pybatfish, and Suzieq, which cover parsing strategies, automation testing, validation, network analysis, observability, and telemetry. The curriculum also encompasses concurrency techniques. WHAT WILL YOU LEARN * Write Python modules and functions. * Evaluate techniques to parse unstructured data. * Use NETCONF filters. * Handle Python errors effectively (try, assert…). * Use postman. * Automate testing and validation of the network. * Use scrapli, Genie, batfish and Suzieq. ADVANCED PYTHON TRAINING COURSE DETAILS * Who will benefit: Network engineers. * Prerequisites: Python for network engineers * Duration 5 days ADVANCED PYTHON TRAINING COURSE CONTENTS * Review CLI, NETCONF, RESTCONF, structured versus unstructured data, gNMI and when to use which. PEP 8. Naming conventions. Packages, modules, Classes and methods. The scrapli library. Netmiko versus scrapli. Hands on: scrapli, Dictionaries versus Regular Expressions. * Modules and Functions Writing your own modules, containers versus packages, virtual environments. Best practices, calling functions, writing your own functions. Parameters, arguments. Named arguments, dictionaries as arguments. Builtins. Docstrings. Main. __name__, __main__ . Program arguments. Hands on: Getting interfaces, showing interface status using Netmiko and functions. Using dictionaries as arguments. Writing your own modules. * Parsing strategies Turning unstructured data into structured data. textfsm, PyATS Genie parser, NAPALM getters, Template Text Parser. Hands on: Genie parser, TTP. Accessing structured data with lists and dictionaries. * Classes, objects and Python Python classes in Genie, PyEZ and others . Hands on: studying network automation classes, objects, methods and attributes. * Configuration management - more nornir, ncclient, requests Nornir tasks. Nornir results, Nornir functions, Nornir plugins. Nornir processors. YANG, YANG models, pyang. NETCONF hello. Capabilities. Schemas. Filters. Subtrees. XPATH. Exploring available YANG data models. NETCONF and network wide transactions. Asserting NETCONF capabilities. Configuration types. Locking configurations, commits. NETCONF data stores. Netconf-console. RESTCONF differences from NETCONF. URI construction. Postman. More XML and JSON. Git and configuration versions. Hands on: Nornir and Jinja2. Exploring available models, NETCONF filters. Using postman. * Python error handling and debugging Context handlers, try, assert, logging, pdb, pytest, unit testing, chatgpt. Hands on: Writing code with each of the error handling methods, investigating what happens on an error. Use chatgpt to debug your code. * Python Automation Testing Testing and validation. pyATS, Genie. Testbed file. Genie parse, genie learn, genie diff. Genie conf, Genie ops, Genie SDK, Genie harness. Xpresso. Hands on: Using Genie for state comparisons of the network. * Network analysis Batfish, pybatfish, configuration analysis, analysing routing, analysing ACLs. Pandas. Pandas dataframe. Filtering and selecting values of interest. Hands on: Use Batfish to analyse network snapshots, find network adjacencies, flow path analysis. * Network observability Suzieq, using docker, using as a package. Sqpoller, suzieq-gui, suzieq-cli, sq-rest-server. Namespaces and seeing devices, network state and Asserts. Time based analysis, snapshots and changes. Hands on: Suzieq: Gathering data from the network, analysing data from the network. Network state assertion. * Telemetry gRPC, gNMI. CAP, GET, SET. Subscriptions. Model Driven telemetry. Hands on: Analysing telemetry data with Python. * Concurrency asyncio, threads, processes. Nornir concurrency. Scrapli and netmiko concurrency. Hands on: Multiple SSH connections to devices at same time. Scarpli asyncio.

Step-by-step tutorial to build a robust automation framework - TestNG, ANT, Maven, Jenkins, Cucumber, Git, Pageobject, Cloud,SQL

This course will teach you how Selenium WebDriver is used to test web applications. You will start by understanding the concepts of Java and gradually move toward understanding Selenium, TestNG framework, Maven, Jenkins, Cucumber, Gherkin, and a lot more interesting topics that will make you a pro in automation testing.

This course will help you to get up and running with JMeter. You will learn how to monitor the performance of web applications and REST APIs by load testing, using the features of the JMeter tool.

The comprehensive Testing using SOAP UI for Beginners has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Testing using SOAP UI for Beginners today, and learn from the very best the industry has to offer! This best selling Testing using SOAP UI for Beginners has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Testing using SOAP UI for Beginners is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Testing using SOAP UI for Beginners is CPD-accredited, so you can be confident you're completing a quality training course  will boost your CV and enhance your career potential. The Testing using SOAP UI for Beginners is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Testing using SOAP UI for Beginners, you will be awarded a certificate of completion  as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Testing using SOAP UI for Beginners will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Testing using SOAP UI for Beginners to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Advanced Tutorial to Learn essential skills needed to transform your career from QA Engineer to SDET/Test Architect

This course is for you if you have no prior coding experience. It is designed to take you through the core Java concepts with the help of practical examples and coding exercises. A course ideal for testing professionals transitioning to DevOps or Automation.

This course will take you through the basics as well as advanced concepts in TestNG and automation framework building. The course focuses on important concepts such as TestNG, Java, Maven, Selenium WebDriver, page object model, and page factory design. You need to know the basics of core Java and Selenium to get started.