AI-READY SDET TRAINING PROGRAM

AI-Ready SDET
Hands-On AI Training for SDETs

Learn how to use AI in real QA engineering through a live, hands-on program built to increase QE productivity. Learn by doing 50 Hands-On Labs across AI-assisted testing, automation, agents, MCP, APIs, databases, CI/CD, n8n and RAG.

October 2026 Batches

Choose a schedule that works for you.

New AI-Ready SDET batches are starting in October.

Weekday Batch

Monday, Wednesday and Friday

8:00 PM–10:30 PM

Weekend Batch

Saturday for 5 weeks

9:00 AM–6:00 PM

Who This Program Is For

Designed for QA and automation professionals.

For QA Engineers, Automation Engineers and SDETs who already understand software testing and basic automation/programming and want to become confident applying AI to real project work.

Practical Learning

Start with the testing problem and architecture—not the AI tool.

Learn by Doing

Trainer demos establish the pattern; participants solve related labs.

Real QA Use Cases

Build practical patterns you can adapt to your own projects.

Featured Hands-On Labs

20 key labs you will work on.

These represent the breadth of the program—from requirement intelligence to agents, automation, MCP, CI/CD and RAG.

01Build an End-to-End Jira-to-GitHub QA WorkflowRetrieve requirement → analyze → generate tests → automate → review → commit.

02Build a Collaborative Multi-Agent QA TeamCreate specialized AI agents that collaborate to complete an end-to-end testing task.

03Generate a New Playwright Test Inside an Existing FrameworkCreate automation that follows existing Page Objects, fixtures, utilities and coding standards.

04Debug a Failed UI Test End-to-EndCombine browser state, network traffic and console evidence to identify the likely root cause.

05Build an Autonomous QA Workflow with n8nOrchestrate AI, Jira, APIs, GitHub and notifications in one workflow.

06Build an AI Requirement Analysis AssistantAnalyze requirements for ambiguity, missing acceptance criteria, risks and testability.

07Build a Playwright Automation AgentCreate an agent specialized in implementing automation inside an existing framework.

08Generate API Tests from an OpenAPI ContractTurn API specifications into positive, negative and boundary tests.

09Generate Playwright API Automation with AICreate automated API tests directly from API contracts and business requirements.

10Generate a CI/CD Pipeline with AIUse an AI agent to create or improve GitHub Actions for test execution.

11Add AI-Powered Debugging to CI/CDAutomatically analyze logs, screenshots and traces when tests fail.

12Build an AI Failure-Triage AgentAnalyze test evidence and identify likely application, automation or environment failures.

13Build a Domain-Aware Debugging AgentRun a failed test and use project documentation to diagnose the issue.

14Create Reusable Claude Code QA SkillsPackage project-specific QA knowledge into reusable AI capabilities.

15Analyze Network Requests with AIInvestigate failed, slow or unexpected API calls directly from a running browser flow.

16Turn an Ambiguous Requirement into a Complete Test SuiteUse AI to identify gaps, ask clarifying questions and generate stronger test coverage.

17Find Test Coverage Gaps with AIMap tests to requirements and risks and identify missing coverage.

18Build an Automation Healing FlowDetect a broken automation test, propose a repair and require approval before changing code.

19Design a RAG-Based QA ArchitectureUnderstand how documents, embeddings, retrieval and LLMs work together.

20Choose the Right AI Approach for a QA ProblemDecide whether the problem needs prompting, project instructions, a Skill, an Agent, MCP, n8n or RAG.

More Hands-On Labs

30 more labs to build deeper practical skills.

Automation repair, Selenium modernization, API/SQL engineering, pipeline diagnostics, Claude skills, local LLMs and more.

21Repair a Poor AI-Generated Test SuiteDetect missing, duplicate, invalid and hallucinated test cases and improve the AI output.

22Generate a Risk-Based Test StrategyUse AI to identify what should be tested first and why.

23Generate a Risk-Focused Test Plan with AITurn project or release information into a concise, risk-focused test plan.

24Optimize Test Data Combinations with AIProduce useful data combinations while eliminating redundant coverage.

25Prioritize Regression Testing with AIIdentify Must Run, Should Run and Can Defer tests when execution time is limited.

26Generate Actionable Test Execution Reports with AITurn raw test results into concise engineering and management summaries.

27Make AI Understand an Existing Automation FrameworkLet Copilot analyze repository architecture, conventions and reusable components before writing code.

28Refactor Automation into Page Object / Component ArchitectureUse AI to improve structure, reuse and maintainability.

29Transform Playwright Codegen into Production-Quality AutomationTransform recorded browser code into maintainable enterprise automation.

30Audit an Automation Framework with AIDetect inconsistent locators, waits, assertions, utilities and design practices.

31Review AI-Generated Automation CodeUse AI to detect framework violations and poor automation practices.

32Debug and Repair Playwright Tests with AIDiagnose automation failures using test code and runtime evidence.

33Modernize Legacy Selenium Tests with AIImprove old locators, waits, Page Objects and duplicated code.

34Diagnose Selenium Project and Configuration Errors with AIUse AI to investigate framework, build and runtime failures.

35Test Application Behavior Under Slow Network ConditionsUse browser tooling and AI to inspect timeouts, loading states and error handling.

36Build an AI-Powered API Testing ToolGive an AI agent controlled access to APIs for testing and validation.

37Build an AI-Powered Code Review ToolConnect AI to code/repository context and generate structured review findings.

38Build an Independent Code Review AgentCreate an independent reviewer that validates AI-generated automation.

39Build a Lead QA AgentOrchestrate multiple specialist agents and manage handoffs and rework.

40Analyze Complex JSON Responses with AIUnderstand deeply nested API responses and identify meaningful validation points.

41Generate DTOs / POJOs / Typed API Models with AIAutomatically create reusable data models from complex JSON.

42Generate Complex SQL Queries with AITurn business validation questions into SQL for database verification.

43Build a Playwright Best-Practices SkillMake Claude consistently generate automation according to your framework standards.

44Run Automated Tests in an AI-Generated PipelineExecute Playwright/API/Selenium tests and preserve reports and diagnostic evidence.

45Classify Pipeline Failures with AIDetermine whether failures are product defects, automation issues, environment problems or test-data issues.

46Generate Actionable Test Execution Summaries with AITurn noisy CI output into concise actionable QA summaries.

47Automatically Draft Jira Defects from Failed TestsConvert test evidence into a defect draft for approval.

48Run Private QA Tasks with a Local LLMExperience private local AI execution for testing scenarios.

49Design a Stateful QA Workflow with LangGraphModel requirement analysis, test generation, review and rework as an agent workflow.

50Optimize Token Usage and AI CostsReduce unnecessary context, redundant model calls and uncontrolled agent loops.

Tools & Technologies

Tools and technologies covered in the program.

You will use these technologies while solving practical QA and automation problems.

Large Language Models (LLMs)AI AssistantWorkflowAgentMulti-AgentPrompt EngineeringContext EngineeringHallucinationPrivacyResponsible AIGitHub CopilotClaude CodeSkillsModel Context Protocol (MCP)Playwright MCPChrome DevTools MCPAtlassian MCPReActMulti-Agent SystemsGitHub MCPn8nOllamaRetrieval-Augmented Generation (RAG)

Free Webinar

See the program in action in our free webinar.

See Jira + Atlassian MCP + AI Agent in one practical workflow before deciding on the master class.

Program Registration

Register your interest in the AI-Ready SDET program.

After registration, you will be invited to an introductory seminar to discuss the program details and starting dates.

OctoberBatches start30 hrsLive training50Hands-On Labs