Claude AI for Automation Testers | Claude Code, Playwright & Selenium -Live Training Demo

Claude AI for Automation Testers | Claude Code, Playwright & Selenium -Live Training

(Generate, Debug, Refactor & Automate Tests with Claude Code, Playwright, Selenium, Pytest & API Testing from Your Terminal)

 

Master Claude AI for Automation Testing through live, practical training with an industry-expert trainer, covering Claude Code, Playwright, Selenium, API Testing, MCP, Prompt Engineering, and CI/CD. Get hands-on practice, real-world projects, and session video access to learn and apply AI-powered testing at your own pace.

This practical course is designed for Automation Testers, QA Engineers, SDETs, and Software Testers who want to integrate Claude AI into their testing workflows. Learn to generate test cases and test data, build and improve automation frameworks, automate UI and API testing, debug and optimize test scripts, use MCP and AI-powered workflows, and integrate automation into CI/CD pipelines. The course includes live instructor-led sessions, practical exercises, real-world testing scenarios, and a capstone project.

 

About the Instructor:

Tarun is an experienced AI and Automation professional with over 10 years of IT industry experience, working on enterprise-level projects across product-based and global technology environments. He specializes in AI-powered engineering, intelligent automation, Agentic AI, and modern software testing, helping professionals adopt next-generation AI technologies in practical, real-world environments. Tarun delivers advanced training programs in AI Agent Engineering, AI-Assisted Development, AI & LLM Testing, Test Automation, and Workflow Automation. His training focuses on practical implementation of Generative AI, Agentic AI, LLMs, prompt engineering, AI-assisted coding, intelligent automation, and modern QA engineering practices. In Claude Code for QA – Automate Testing with Agentic AI in Your Terminal, Tarun brings his experience in AI and automation to help QA professionals use Claude Code as an AI-powered testing partner. The course covers practical workflows for test automation, test case generation, automation script creation, debugging, refactoring, code reviews, Playwright, Selenium, Pytest, API testing, and terminal-based QA workflows. With a strong focus on real-world projects and hands-on learning, Tarun helps learners understand how Agentic AI can be integrated into everyday testing activities. His approach emphasizes reusable prompts, practical automation workflows, AI-assisted debugging, and efficient test engineering, enabling learners to work more productively with modern AI tools. Teaching and mentoring have always been Tarun’s passion. He has successfully trained and mentored 300+ professionals through live interactive sessions, workshops, and project-based learning programs. Known for his practical teaching style and ability to simplify complex technical concepts, he helps learners confidently apply AI technologies to real-world software engineering and testing challenges.

 

Live Sessions Price:

For LIVE sessions – Offer price after discount is 159 USD 109 USD 69 USD Or 11000 INR 9900 INR 5,900 Rupees.

 

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Free Demo Session Timings:

Indian Timings: 15th October @ 9 PM – 10 PM (IST)

U.S Timings: 15th October @ 11:30 AM – 12:30 PM (EST)

UK Timings: 15th October @ 4:30 PM – 5:30 PM (BST)

 

Class Schedule:

For Participants in India: Monday to Friday @ 9 PM – 10 PM (IST)

For Participants in US: Monday to Friday @ 11:30 AM – 12:30 PM (EST)

For Participants in UK:  Monday to Friday @ 4:30 PM – 5:30 PM (BST)

 

What Students Say about the trainer:

⭐ Trainer Tarun explained Claude Code and Agentic AI for QA in a very simple and practical way. I learned how to use Claude Code from the terminal for test automation, test case generation, debugging, and AI-assisted QA workflows. The hands-on examples made the concepts easy to understand. – Arjun Sharma ⭐ Excellent training by Tarun on Claude Code for QA automation. He clearly explained Agentic AI, terminal-based automation, test script generation, and debugging with practical examples. The sessions were easy to follow and highly relevant to QA professionals. – Aisha Khan ⭐ Tarun made learning Claude Code very easy with his practical teaching approach. I particularly enjoyed the hands-on exercises covering test generation, automation, debugging, and AI-assisted coding. His step-by-step explanations were very helpful. – David Joseph ⭐ A very practical and industry-focused training program conducted by Tarun. The course covered Claude Code, Agentic AI, automation workflows, test script generation, and debugging through real-world examples. The practical projects helped me understand how AI can support QA automation. – Sneha Reddy ⭐ Trainer Tarun provided clear explanations and practical real-world examples throughout the course. I learned how to use Claude Code for creating test scripts, analyzing failures, improving automation code, and working with AI-assisted testing workflows directly from the terminal. – Gurpreet Singh

Who can enroll for this course?

• QA Engineers – looking to use AI for test automation and debugging
• SDETs & Test Automation Engineers – wanting to accelerate automation with Claude Code
• Software Testers – interested in AI-assisted testing workflows
• Automation Test Engineers – working with Playwright, Selenium, Pytest, or API testing
• QA Professionals – looking to adopt Agentic AI in their testing workflows
• Software Engineers – building and testing applications with AI-assisted tools
• API & Performance Testers – interested in AI-powered test generation and validation
• QA Professionals Upskilling into AI – wanting practical experience with Claude Code and Agentic AI
• Developers & Freshers with Basic Testing Knowledge – looking to build skills in modern AI-assisted QA

 

Salient Features:

• Approximately 20 Hours of Live Training
• Every session gets recorded, and 1 year of access to these videos will be given.
• Course Completion Certificate

What will I Learn by the end of this course?

• Install, configure and run Claude Code in a test repository, using slash commands, permission modes, plan mode and git worktrees
• Write a shared CLAUDE.md with rules that stop hallucinated selectors, and prompt for reviewable diffs
• Turn user stories into risk-based test cases, boundary and negative sets, test data and a traceability matrix
• Build Playwright suites (page objects, fixtures, resilient locators, parallel runs, visual checks, trace viewer debugging)
• Refactor brittle Selenium code and port suites to Playwright or Pytest
• Generate API regression packs from an OpenAPI spec, with schema assertions and contract-drift checks
• Package repeatable jobs as skills, and use subagents, agent teams, MCP servers (browser, Jira, database) and hooks as guardrails
• Run Claude in GitHub Actions to review and test every pull request, with HTML reports and flake metrics
• Ship a public, CI-backed QA portfolio project.

 

Course syllabus:

Module 1: Claude Code Fundamentals

 1.1 What Claude Code is, and how a request flows through it (context, planner, tool executor, permission gate, verifier)

1.2 Installing the CLI (Node 18+) and starting it in a test repository

1.3 Authentication and choosing models (/model)

1.4 The REPL loop and core slash commands (/init, /doctor, /model, /clear)

1.5 Permission modes and plan mode

1.6 Git worktrees, and when to reach for each mode

1.7 Guided Project: a working setup and your first AI-written test

Tools / Platforms: Claude Code CLI, Node.js, Git

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Module 2: Project Memory and QA Prompting 

2.1 CLAUDE.md at global, project and local level

2.2 Writing rules, stack, conventions and do-nots that load on every turn

2.3 Writing rules that stop hallucinated selectors

2.4 Prompt patterns that produce reviewable diffs instead of walls of code

2.5 Guided Project: a CLAUDE.md your whole QA team can share

Tools / Platforms: Claude Code, CLAUDE.md

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Module 3: Manual QA, Accelerated 

3.1 Turning a user story into risk-based test cases

3.2 Boundary and negative test sets

3.3 Test data generation

3.4 Building a traceability matrix

3.5 Exporting into your test management tool

3.6 Guided Project: a full test case pack generated and reviewed in minutes

Tools / Platforms: Claude Code, your test management tool

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Module 4: Web Automation with Playwright 

4.1 Page objects and fixtures

4.2 Locators that survive redesigns

4.3 Parallel runs

4.4 Visual checks

4.5 Trace viewer debugging

4.6 Driving a real browser through the Playwright MCP server

4.7 Guided Project: a green Playwright suite for a real application

Tools / Platforms: Playwright (TypeScript & Python), Playwright Test, Playwright MCP

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Module 5: Selenium, Pytest and Legacy Migration 

5.1 Refactoring brittle Selenium code

5.2 Removing hard waits

5.3 Deduplicating helpers

5.4 Porting suites to Playwright or Pytest

5.5 Modernising an inherited suite without breaking it

5.6 Guided Project: a migration playbook you can run on your own repo

Tools / Platforms: Selenium WebDriver, Pytest, Playwright

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Module 6: API, Contract and Data Testing 

6.1 Generating request collections from an OpenAPI spec

6.2 Asserting schemas

6.3 Chaining auth flows

6.4 Seeding and cleaning test data

6.5 Catching contract drift before the UI sees it

6.6 Guided Project: an API regression pack wired to your spec

Tools / Platforms: REST, OpenAPI/Swagger, Pytest

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Module 8: CI/CD, Code Review and Reporting

8.1 Running Claude in GitHub Actions on every pull request

8.2 Auto-reviewing test code

8.3 Publishing HTML reports and flake metrics

8.4 Gating merges on quality signals

8.5 Guided Project: a pipeline that reviews and tests every PR

Tools / Platforms: GitHub Actions, PR review bots, HTML reports

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Module 9: Capstone, Your QA Portfolio

9.1 Taking one real application from zero to a documented, automated, CI-backed test suite

9.2 Publishing it as a public portfolio project

9.3 Using it in interviews and performance reviews

Tools / Platforms: Everything from Modules 1 to 8

Live Sessions Price:

Call or Whatsapp Kumar gupta @ +91-9133190573

OR

Enroll For a Free Demo

 

For LIVE sessions – Offer price after discount is 159 USD 109 USD 69 USD Or 11000 INR 9900 INR 5,900 Rupees.

FAQ –CLAUDE CODE FOR QA:

1. Who can enroll in this course?
QA Engineers, SDETs, Automation Testers, and Software Professionals with basic testing knowledge can enroll.

2. Do I need prior knowledge of Claude Code?
No. The course starts with the basics and gradually covers advanced topics.

3. What will I learn in this course?
You’ll learn Claude Code, Agentic AI, AI-assisted test automation, debugging, test generation, and terminal-based QA workflows.

4. Which testing tools are covered?
The course covers popular automation and testing tools along with Claude Code for AI-assisted testing.

5. Is this course practical?
Yes. The course includes hands-on exercises, real-world examples, and practical QA automation projects.

6. Will I learn how to use Claude Code in the terminal?
Yes. You’ll learn how to use Claude Code directly from the terminal for testing and automation tasks.

7. Is coding knowledge required?
Basic knowledge of programming and test automation is recommended.

8. Will I learn Agentic AI for testing?
Yes. You’ll learn how AI agents can assist with test creation, execution, debugging, and automation workflows.

9. Is this course suitable for beginners?
Yes. The concepts are explained step by step, from fundamentals to practical automation workflows.