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Unclaimed ProfileThe integration of Artificial Intelligence into software quality assurance is transforming the testing landscape, and this comprehensive course by Firstlink Consulting equips learners with the highly sought-after skills needed to stay ahead. Designed for QA professionals, automation engineers, and software developers of all skill levels, this course bridges the gap between traditional testing frameworks and modern AI-driven methodologies. Students will master industry-standard tools like Selenium and Playwright, learning how to build robust, scalable end-to-end automation frameworks from scratch. What sets this curriculum apart is its deep dive into generative AI utilities, including GitHub Copilot, Claude Code, and Amazon Q, which accelerate test script generation, optimize debugging, and simplify test maintenance. Beyond basic UI automation, learners will explore advanced topics such as data-driven testing using AI-generated datasets, API testing workflows, performance testing, and database validation utilizing SQL and PL/SQL. Additionally, the course addresses modern QA challenges by demonstrating how to migrate older Selenium frameworks to Playwright for improved execution speed. By incorporating cutting-edge AI agents and MCP-based integrations, this course prepares professionals to design modern, CI-ready testing pipelines that significantly boost engineering efficiency and software quality.
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Firstlink Consulting
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Firstlink Consulting stands at the forefront of technical education, specializing in bridging the gap between emerging artificial intelligence architectures and practical software engineering requirements. As a premier provider on AllPros, they focus on demystifying the complexities of the Model Context Protocol (MCP) and integrating advanced AI agents into professional development environments. Their teaching philosophy is rooted in hands-on application, ensuring that students do not merely learn theoretical concepts but gain the ability to implement high-impact AI workflows immediately. By concentrating on cutting-edge tools like Claude Code, they empower engineers to leverage subagents, hooks, and automated testing frameworks such as Selenium…Show more
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Program Overview
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Learning format
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Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Build end-to-end test automation frameworks using Selenium and Playwright
- Use AI tools like GitHub Copilot, Claude Code, and Amazon Q to write and optimize test scripts faster
- Create data-driven test automation using JSON, CSV, and AI-generated datasets
- Design and execute API testing workflows with real backend validation
- Integrate performance testing into your automation strategy
- Apply AI-assisted debugging and test maintenance techniques
- Automate real-world UI interactions including forms, dropdowns, alerts, frames, and dynamic elements
- Migrate existing Selenium tests to Playwright for improved stability and speed
- Build and use AI-powered automation workflows and agents
- Apply Data-Driven Testing using JSON, CSV, and AI-generated test data.
- Implement MCP-based integrations for advanced AI-driven testing scenarios
- Work with database validation and test data management
- Develop automation aligned with modern engineering and CI-ready workflows
- Perform Database Testing (SQL, PL/SQL) with Copilot-assisted schema design, queries, and data loading.
Best For
- Manual testers looking to transition into modern AI-assisted automation roles
- QA engineers aiming to master the migration from Selenium to Playwright
- Automation developers wanting to integrate GitHub Copilot and LLMs into their daily coding workflow
- Software professionals seeking to build scalable, CI-ready testing pipelines
Not For
- Complete programming beginners who have never touched a line of code or script
- Professionals strictly looking for theoretical AI concepts without hands-on coding application
- Those looking for non-technical high-level project management or QA strategy advice
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