CONTACT FOR DEMO CLASS : (+91) 8951869553/52
CONTACT FOR DEMO CLASS : (+91) 8951869553/52
Course Start Date: 18th Decemeber 2025
Participants will learn to leverage AI assistants to automate test generation, identify complex bugs, and streamline their QA process with cutting-edge AI tools.
Learn to use AI tools like ChatGPT and specialized testing assistants to generate unit, integration, and UI tests instantly.
Discover how AI can analyze your code to find edge cases, security vulnerabilities, and logic flaws that manual testing might miss.
Master the integration of AI into your QA pipeline to speed up regression testing and enhance overall software reliability.
Our micro-sessions are designed to give you actionable skills you can use in your testing projects immediately.
In this specialized session, software professionals will learn how to integrate Artificial Intelligence into their testing and quality assurance workflows. The Micro session focuses on using AI to automate the creation of comprehensive test suites and identify subtle bugs that traditional methods often miss.
Participants will explore AI-driven tools for unit testing, integration testing, and UI automation. By the end of this session, you will have the skills to leverage AI for rapid bug detection, improved code coverage, and a more robust software delivery pipeline, significantly reducing manual effort and increasing reliability.
EarlyRise's AI for Testing and Bug Detection Micro Session Key Features
Discover bugs up to 70% faster with AI analysis
Minimize manual regression testing effort
Achieve near-total code coverage with intelligent tests
Master AI-powered edge case identification
Automate complex E2E user flow testing
Stay ahead as a quality engineering expert
Customized to your team's needs
Key Learning Objective: Setting up AI-powered testing extensions and integrating ChatGPT/Copilot for QA workflows.
Key Learning Objective: Crafting effective prompts to generate edge cases, boundary tests, and negative test scenarios.
Key Learning Objective: Using AI to instantly generate unit tests and integration scenarios for various frameworks.
Key Learning Objective: Leveraging AI for creating and maintaining browser-based automation scripts (Selenium, Playwright).
Key Learning Objective: Analyzing codebases with AI to find logical errors, race conditions, and hidden bottlenecks.
Key Learning Objective: Using AI to detect security vulnerabilities (SQLi, XSS) and suggest immediate patches.
Key Learning Objective: Using AI to automatically update brittle test scripts when the UI or API schema changes.
Key Learning Objective: Generating detailed bug reports and testing summaries instantly using AI models.
4 Hours
4 Hours
Upon successful completion of the course, participants will receive a certificate from EarlyRise. This certificate is widely recognized and signifies that the holder has acquired specialized skills and knowledge in AI-driven Software Testing and QA. It serves as a testament to their expertise and is valued by industry professionals and employers.
Get In Touch
Our team will be happy to assist you make the right decision
Leading industry professionals who bring current best practices and case studies to sessions that fit into your work schedule.
Our Course fees are very nominal and competitive. We provide Scholarship up to 50% time to time for eligible candidates.
This session is ideal for QA engineers, software testers, SDETs, developers who want to improve their testing skills, and engineering managers looking to implement AI-driven quality processes.
No prior experience with AI is required. A basic understanding of programming is helpful. The session is designed for both beginners and experienced professionals, with all AI concepts and tools introduced in a hands-on manner.
You will be able to automate your unit and integration testing, use AI to identify complex edge cases, and integrate AI assistants into your QA pipeline to ship higher-quality software with less manual effort.
It is 100% practical. You will work on live coding exercises, real-world development use cases, and guided activities using GitHub Copilot, ChatGPT, and modern IDE extensions.
Yes. Participants receive a curated library of AI testing prompts, checklist templates for AI-driven bug hunting, and a guide on integrating AI into common testing frameworks (Jest, PyTest, etc.).
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