Harness Power of Gen AI & Agent for Manual Test, RAG, Playwright AI, TestRigor, Add Intelligence to Test Code via APIs
InstructorKarthik KKComidoc has tracked 1 coupon for this course since 2025, last checked 11 months, 15 days ago.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| Coupon codeLEARN_AI_POWER | Discount17% off | Added | StatusExpired | Lifetime14d |
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Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This diagram illustrates the various models of generative AI, categorizing them into LLMs, GANs, and VAEs while detailing their specific applications in software automation.
This slide illustrates various models of generative AI by showing a developer environment where text generation and data generation are highlighted as key capabilities.
This interface demonstrates how generative AI tools can be used to create visual comparisons and content for software testing frameworks like Selenium and Cypress.
This slide outlines popular applications of Gen AI in software testing, including manual test case generation, automated code suggestion, and bug tracking.
Covers sophisticated topics like Model Context Protocol (MCP) and AI Agents to connect testing tools with databases and IDEs.
Provides practical methods for running models like Llama 3.1 and Gemma locally, which is useful for privacy-conscious enterprise environments.
Learners have noted a lack of downloadable documents or step-by-step project files to follow along with the code implementation.
The setup process may be difficult for Windows users, and some instruction lacks clear explanations when transitioning between code blocks. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
The course is tailored toward specific technical roles but may not be suitable for Windows users due to the platform-specific setup.
