CLAUDE FOR AUTOMATION TESTERS FROM PROMPTING TO PRODUCTION PIPELINES

CLAUDE FOR AUTOMATION TESTERS FROM PROMPTING TO PRODUCTION PIPELINES -Live Training

(From Prompt Engineering to Production-Ready AI Pipelines)

 

This course teaches working automation testers how to use Claude — through claude.ai, the Claude API, and Claude Code — to speed up and improve every stage of the testing lifecycle: test case design, script generation, debugging, code review, CI/CD integration, and reporting. It is built for testers who already know an automation tool (Selenium, Playwright, Cypress, or similar) and want to become significantly faster and more effective using Claude as a daily working partner.

 

About the Instructor:

Yesh is an experienced AI and Automation professional with over 10 years of IT industry experience, having worked on enterprise-level projects across product-based and global technology environments. Over the years, he has specialized in AI-powered engineering, intelligent workflow automation, and Agentic AI solutions, helping professionals adopt next-generation AI technologies in real-time enterprise environments. His strong industry exposure and practical implementation approach make his sessions highly hands-on, industry-oriented, and aligned with current market demands. Yesh currently delivers advanced live training programs on AI Agent Bootcamp: Master N8N and Workflow Automation, The Agentic Developer Course: Master AI-Assisted Full-Stack Engineering, ISTQB Certified AI Tester – Advanced QA with AI & ML, and AI Agents Engineering Course – Live Training. His core training areas include AI agents, workflow orchestration using n8n, LLM integrations, prompt engineering, AI-assisted development, intelligent automation, AI-driven testing strategies, and real-time AI workflow implementation. He focuses heavily on practical use cases, live project scenarios, event-driven automations, and modern AI engineering concepts that help learners build production-ready AI solutions. Teaching and mentoring have always been Yesh’s passion, and he has successfully trained and mentored more than 300+ professionals through live interactive sessions, workshops, and real-time project-based learning programs. Known for his practical teaching style and simplified explanation of complex AI concepts, he has helped many working professionals transition into AI-focused roles and modern engineering domains. Passionate about continuous learning and innovation, Yesh aims to empower learners with future-ready AI and automation skills required to succeed in rapidly evolving technology landscapes.

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.

 

Enroll For Free Demo

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Free Demo Session Timings:

Indian Timings: 11th August @ 8 PM – 9 PM (IST)

U.S Timings: 11th August  @ 10:30 AM – 11:30 AM (EST)

UK Timings: 11th August @ 3:30 PM – 4:30 PM (BST)

 

Class Schedule:

For Participants in India: Monday to Friday @ 8 PM – 9 PM (IST)

For Participants in US: Monday to Friday @ 10:30 AM – 11:30 AM (EST)

For Participants in UK:  Monday to Friday @ 3:30 PM – 4:30 PM (BST)

 

What Students Say about the trainer:

⭐ The trainer explained The Agentic Developer Course: Master AI-Assisted Full-Stack Engineering concepts in a very simple and practical way. I learned Python, FastAPI, React, and AI tools like GitHub Copilot with real-time examples. The hands-on sessions were excellent. – Kumar ⭐ Excellent course for learning Full Stack Development with AI tools like GitHub Copilot and Claude Code. The trainer covered Prompt Engineering, LLMs, and backend development simply. Real-time projects helped me improve my coding skills. Great learning experience overall. – Priya ⭐ The practical sessions and real-world projects made learning AI-assisted development very easy. – Joshi ⭐ One of the best industry-focused training programs I have attended. The course covered both full-stack development and modern AI tools in detail. The trainer supported us throughout the practical sessions and projects. I gained hands-on experience in React, FastAPI, and PostgreSQL integration. The learning environment was interactive and professional. – Sneha ⭐ The trainer provided clear explanations and real-world examples throughout the course. I gained strong knowledge in AI-assisted application development. – Vijaya

Who can enroll for this course?

• Manual testers moving into automation who want to use AI to accelerate the transition
• Automation testers (Selenium/Playwright/Cypress) who want to work faster with Claude
• SDETs and QA leads who want to introduce AI-assisted testing on their team
• Test automation freelancers/consultants who want to offer AI-augmented testing services

 

Salient Features:

• Approximately 25+ 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?

• Write effective prompts for test case design, test data, and bug reports
• Generate and refine automation scripts (Selenium/Playwright) using Claude
• Use Claude to review, debug, and refactor existing automation code
• Use Claude Code to scaffold frameworks and fix failing test suites
• Integrate the Claude API into test pipelines for reporting and self-healing checks
• Connect Claude to testing tools using MCP (Model Context Protocol)
• Position yourself for AI-augmented testing roles with a portfolio and capstone project

 

Course syllabus:

Module 1: Foundations — Claude and the AI Testing Mindset (Duration: 3 Hours)

1.1 Why testers need to learn Claude — market context and job trends

1.2 Traditional testing vs AI-assisted testing — what changes and what doesn’t

1.3 Overview of Claude models (Opus, Sonnet, Haiku) and when to use each

1.4 claude.ai vs Claude API vs Claude Code — three ways testers use Claude

1.5 Setting up a Claude account, Projects, and Artifacts for testing work

1.6 Claude’s capabilities and limits for QA — what to trust, what to verify

Tools / Platforms: claude.ai, Claude Console

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Module 2: Prompt Engineering for QA (Duration: 3 Hours)

2.1 Core prompt engineering principles for testers

2.2 Writing clear, context-rich prompts for test tasks

2.3 Before/after examples: vague vs effective testing prompts

2.4 Using examples and templates to guide Claude’s output

2.5 Structuring multi-step testing tasks with step-by-step prompts

2.6 Requesting specific formats (tables, checklists, structured tags) for QA deliverables

Tools / Platforms: claude.ai, reusable prompt templates

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Module 3: Test Case and Test Data Generation with Claude (Duration: 3 Hours)

3.1 Generating test cases from requirements and user stories

3.2 Discovering edge cases and negative scenarios with Claude

3.3 Generating boundary-value and equivalence-partitioning test sets

3.4 Creating realistic synthetic test data (valid, invalid, edge-case)

3.5 Generating test cases directly from API specs (Swagger/OpenAPI)

3.6 Guided Project: Requirement-to-Test-Case Generator Workflow

Tools / Platforms: claude.ai, Swagger/OpenAPI docs, spreadsheets

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Module 4: Claude for Automation Script Generation (Duration: 4 Hours)

4.1 Converting manual test cases into automated scripts
4.2 Generating Selenium scripts (Java/Python) from natural language
4.3 Generating Playwright scripts (JavaScript/TypeScript) from natural language
4.4 Generating Page Object Model structures with Claude
4.5 Generating API test scripts (REST Assured / Postman / pytest)
4.6 Reviewing and correcting AI-generated automation code
4.7 Guided Project: Manual Test Case to Playwright Script Pipeline

Tools / Platforms: Selenium, Playwright, VS Code, Claude

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Module 5: Claude for Code Review, Debugging, and Refactoring (Duration: 4 Hours)

5.1 Reviewing automation framework code with Claude
5.2 Identifying anti-patterns and common causes of flaky tests
5.3 Root-cause analysis of failing tests using logs and stack traces
5.4 Refactoring test code for readability and maintainability
5.5 Explaining unfamiliar or legacy automation code
5.6 Guided Project: Debugging a Flaky Test Suite with Claude

Tools / Platforms: Claude, Git, existing automation repositories

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Module 6: Claude Code for Testers (Duration: 4 Hours)

6.1 Introduction to Claude Code — the agentic CLI for developers and testers
6.2 Installing and configuring Claude Code
6.3 Scaffolding a new test automation framework with Claude Code
6.4 Running, diagnosing, and fixing failing test suites autonomously
6.5 Git workflows — commits, branches, and pull requests with Claude Code
6.6 Guardrails: reviewing AI-driven code changes before merging
6.7 Guided Project: Framework Setup and Test Fixing with Claude Code

Tools / Platforms: Claude Code CLI, Git, GitHub

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Module 8: Documentation, Bug Reporting, and Career Positioning (Duration: 3 Hours)

8.1 Writing clear, structured bug reports with Claude
8.2 Generating test summary reports and release notes
8.3 Using Claude as an exploratory testing thinking partner
8.4 Building a portfolio of AI-assisted testing work
8.5 Resume and interview positioning for “AI-augmented tester” roles
8.6 Capstone: End-to-End AI-Assisted Testing Workflow
8.7 Capstone demo and certification wrap-up

Tools / Platforms: Claude, GitHub portfolio, resume templates

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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.

 

Sample Course Completion Certificate: 

Your course completion certificate looks like this……

 

Note:

To maintain the quality of our training and ensure a smooth learning experience for all participants, we do not allow batch repetition or switching between courses.

To reiterate, moving from one course to another or shifting from one trainer to another (even if it is the same course) is not possible. Changing batches or trainers in any form is strictly not permitted.

We request all learners to attend the scheduled sessions regularly and make the most of their learning journey. Thank you for your understanding and continued support.