Quality Assurance AI Engineer

Master AI-Driven Quality Assurance in Just 16 Weeks

Master AI Model Testing, Automation, and QA methodologies with expert-led training.

📹 40 hours for LIVE sessions

🧑🏻 2 hours with a coach every week

🏅 Ideal for 2-3 years of Experience

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Course details

API

A set of rules and protocols that allow different software applications to communicate with each other, enabling functionality integration between systems.

Backend

The server-side of an application that handles business logic, databases, and APIs, ensuring the app functions properly by processing user requests and managing data.

Testing

Ensures software quality by identifying and fixing bugs, verifying functionality, and improving performance.

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Full Stack AI Engineer

What You’ll Learn

1

Expert Mentorship

Collaborate closely with AI experts who will guide you through every phase of your QA and AI engineering journey.

2

Hands-On Projects

Engage in real-world quality assurance projects, where you'll apply AI techniques to automate and enhance QA processes.

3

Personalized Feedback

Receive detailed feedback tailored to your development in AI and QA, helping you grow your technical skills.

4

Career Support

Gain access to career resources, including resume reviews, job placement services, and networking opportunities in the QA and AI field.

Who should attend?

This course is designed for:

Aspiring QA Engineers

looking to specialize in AI-driven quality assurance and automation.

AI Enthusiasts

who want to deepen their skills in full-stack AI engineering and QA practices.

Professionals in Tech

aiming to upskill and integrate AI into their existing QA workflows.

Graduates & Career Changers

seeking a pathway into the rapidly growing fields of AI and quality assurance.

16 Weeks, 200 Hours

Course Breakdown

Week 1

QA Basics and Manual Testing

10 Hours

What you will learn

Introduction to QA and testing lifecycle.
Types of Testing: Functional, Non-functional, Unit Testing, Integration Testing.

Practical Example

Manual testing of a sample web application.

Assessment

Write manual test cases for a web app and perform testing.

Skills you'll gain

QA lifecycle

Functional and non-functional testing

Manual testing practices

Week 2

Automation Fundamentals

10 Hours

What you will learn

Introduction to automation testing tools (Selenium, JUnit).
Writing basic automated test scripts in Python/JavaScript.
Setting up an automation testing environment.

Practical Example

Automate web form testing using Selenium.

Assessment

Implement automated tests for basic web functionalities.

Skills you'll gain

Automation tools (Selenium, JUnit)

Setting up automated tests for web applications.

Week 3

Testing AI Models and ML Pipelines

10 Hours

What you will learn

Understanding AI/ML pipelines and models.
Challenges of testing AI models: accuracy, robustness, bias.
Overview of TensorFlow, PyTorch for QA.

Practical Example

Test a pre-trained machine learning model for accuracy and bias.

Assessment

Analyze and test AI/ML model performance metrics.

Skills you'll gain

Testing AI/ML models (accuracy, bias, robustness)

PyTorch

TensorFlow

Week 4

Test Automation for AI Applications

10 Hours

What you will learn

Automating testing for AI applications.
Testing AI APIs (OpenAI, Google Cloud AI).

Practical Example

Build and automate tests for an AI-powered chatbot.

Assessment

Develop an automation script to test AI model endpoints.

Skills you'll gain

Automating AI testing

Testing AI APIs (OpenAI, Google Cloud AI)

Week 5

Continuous Integration/Continuous Delivery (CI/CD) for QA

10 Hours

What you will learn

Integrating automated tests into CI/CD pipelines.
Introduction to CI/CD pipelines with Jenkins, GitLab CI.

Practical Example

Set up a Jenkins pipeline for automated testing of a web app.

Assessment

Configure and run tests in a CI/CD pipeline.

Skills you'll gain

CI/CD pipelines for QA using Jenkins

GitLab CI

Integrating automated tests

Week 6

Performance and Load Testing

10 Hours

What you will learn

Tools for performance testing (JMeter, Apache Bench).
Load testing and stress testing.

Practical Example

Conduct load testing on a web application using JMeter.

Assessment

Generate load tests and analyze performance metrics.

Skills you'll gain

Performance and load testing using tools like JMeter and Apache Bench.

Week 7

Testing AI with Bias and Fairness in Mind

10 Hours

What you will learn

Introduction to fairness and bias testing in AI.
Methods for bias detection and mitigation.

Practical Example

Test an AI model for fairness using datasets.

Assessment

Write test cases targeting AI fairness issues.

Skills you'll gain

Bias detection

Fairness testing for AI systems

Week 8

AI Testing Strategies and Validation

10 Hours

What you will learn

AI Model Validation: Accuracy, Robustness, and Stability.
Testing for drift in machine learning models.

Practical Example

Implement validation tests for a machine learning model.

Assessment

Implement a validation suite for monitoring AI models over time.

Skills you'll gain

AI model validation (accuracy, robustness)

Testing for drift in AI models.

Week 9

API Testing and Automation

10 Hours

What you will learn

Overview of RESTful APIs and GraphQL.
Testing APIs using Postman, REST-Assured.

Practical Example

Testing APIs using Postman, REST-Assured.

Assessment

Create a feature that allows user authentication in a full-stack app.

Skills you'll gain

API testing using Postman

REST-Assured

Writing automated API tests

Week 10

Backend Systems Testing

10 Hours

What you will learn

Introduction to microservices and testing strategies.
Testing event-driven systems (Kafka, RabbitMQ).

Practical Example

Automate the testing of backend microservices.

Assessment

Write test cases for microservices using JUnit and PyTest.

Skills you'll gain

Backend systems testing (microservices, event-driven systems).

Week 11

Full Stack QA Testing (Front-end and Back-end)

10 Hours

What you will learn

Testing across the full stack (UI, API, Database).
End-to-end testing with Cypress and Selenium.

Practical Example

Develop automated tests for a full-stack application.

Assessment

Write comprehensive end-to-end tests for a full-stack application.

Skills you'll gain

End-to-end testing for full-stack applications (UI, API, database).

Week 12

AI/ML Deployment and Monitoring

10 Hours

What you will learn

Testing AI models in production.
Monitoring AI performance and model drift post-deployment.

Practical Example

Set up monitoring for AI systems in a cloud environment.

Assessment

Test an AI model’s performance in a live production environment.

Skills you'll gain

AI model deployment testing

Monitoring AI performance post-deployment.

Week
13 to 16

Capstone Project

80 Hours

What you will learn

Project Overview

Build and implement a QA testing framework for an AI-driven system, ensuring functionality, fairness, and robustness.

Capstone Project Deliverables

Tech Stack Decision

Languages: Python, JavaScript (student’s choice).
Testing Framework: Selenium, PyTest, TensorFlow (student’s choice).
AI Tools: TensorFlow, OpenAI API (depending on the project).

Frontend & Backend Automation

Develop UI tests using Selenium/Cypress.
Automate backend testing with JUnit, PyTest, or Postman.

AI Testing & Validation

Implement bias detection, accuracy, and drift monitoring for AI systems.

Project Examples

AI Chatbot Testing

Test the conversational flow and AI model responses.

Recommendation System Validation

Implement validation tests for AI-based recommendation systems.

Demo Day Presentation

On completion, learners will present their capstone project to industry professionals, and the top projects will receive awards. Learners will also have opportunities for job placements with partner companies.

Skills you'll gain

Develop a QA framework for an AI system

Incorpo automate frontend and backend testing

implement AI model validation (bias detection, accuracy, and drift monitoring)rating frontend (React/Angular)

Sharif Malik

Cofounder & CTO @
CATHAGO, Berlin

Asim Shaikh

Cloud Support Engineer II @
‍AWS, Ireland

Atul Ranjan

Team Lead @
‍CATHAGO, Ex-JP Morgan, India

Sahil Chabbra

Senior Software Engineer @
‍Meta, UK

Zafeer Rais

Senior Product Manager
Zalando, Berlin

Giriraj Sharma

Senior Quality Assurance Engineer
Ex- Tech Mahindra, India

Aniket Pawar

Team Lead
Ex-John Deere, India

Imran Solanki

Technology Consultant Engineer
‍Technogise, India

Musab Alfawal

Principle Designer
Talenlio, Turkey

Naufil Shaikh

Senior Product Designer
CATHAGO, India

Mirza Rahim Baig

Team Lead - Product Analytics
Zalando, Berlin

Interactive Workshops

Engage in live sessions with top developers, exploring real-world challenges.

Career Advancement

Access job placement services and networking opportunities to propel your design career forward.

Personalized Coaching

Receive one-on-one feedback tailored to your growth and career goals.

Portfolio Development

Craft a compelling portfolio with projects that highlight your design skills.

Interactive Workshops

Engage in live sessions with top designers, exploring real-world challenges.

Career Advancement

Access job placement services and networking opportunities to propel your design career forward.

Personalized Coaching

Receive one-on-one feedback tailored to your growth and career goals.

Portfolio Development

Craft a compelling portfolio with projects that highlight your design skills.

Get exclusive access to career resources from Talenlio!

ATS-Friendly Resume

Build a resume accepted in 25+ countries with Talenlio.

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Personalized Assistance

Enhance your profile to stand out to global tech recruiters.

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LinkedIn Optimization

Highlight your full-stack and AI skills through tailored guidance.

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Companies where are talents are placed

The Clabroom training program offered a comprehensive, hands-on experience in product design, quality assurance, and full-stack development. With real-world projects and expert mentorship, it built a strong foundation for scalable applications while enhancing both theoretical and practical skills. Highly recommended for those aspiring to excel in full-stack development.

Iram Syed

Software Engineer @ILMTEC

Being a part of this clabroom has been an incredible learning journey. The exposure to different technologies has significantly broadened my knowledge and skills. Currently, I am learning various technologies like Angular and Spring Boot with hands-on experience, which has greatly enhanced my understanding and practical application. The interactive learning approach makes it an excellent place to grow as a developer.

Harshal Ahire

Software Engineer @ Talenlio

Navigating the various tech stacks as a college student can be daunting, but Clabroom made it easier by offering real-life projects. The hands-on experience and expert guidance equipped me with practical skills and confidence. I wholeheartedly recommend Clabroom to anyone aiming to excel in software development.

Mangesh Sawant

Frontend Engineer @ Talenlio

Two years ago, I completed mobile app development training with Clabroom, and it was an incredible journey! The well-structured program covered everything from Flutter to React Native. The knowledgeable instructors and hands-on approach made complex concepts easy to grasp. Real-world projects provided invaluable practical experience, and the mentorship was top-notch. Thanks to Clabroom, I now work confidently as a Flutter developer.

Riya Jha

Mobile App Engineer @ Talenlio

The clabroom training was an enriching and well-structured program that covered both front-end and back-end technologies comprehensively. The hands-on approach, real-world projects, and expert guidance enhanced our understanding and practical skills. The sessions were engaging, interactive, and provided a solid foundation for building scalable applications. Overall, it was an excellent learning experience that prepared us for real-world development challenges.