Learn about AI, ML, and Intelligent Testing to make software testing faster, easier, and more efficient. Find out how to use advanced tools, frameworks, and methods to make smart test automation solutions.
Level
Advanced
Duration
8 Weeks
Placement Client
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About AI, ML Intelligent Testing
This training by Techpratham gives you the skills you need to use AI and machine learning in software testing. You will learn about intelligent test execution, predictive analytics, test optimization, self-healing automation, and defect prediction. The course talks about AI-based testing tools like Test.ai, Applitools, and AI frameworks for automation. By the end, you'll be able to use next-generation smart testing methods on applications for businesses.
Training Plan
About trainer
Working professional who is carrying more then 10 years of industry experience.
Decks & Updated Content
Access to updated presentation decks shared during live training sessions.
e-Book
E-book provided by TechPratham. All rights reserved.
Assignments & MCQs
Module-wise assignments and MCQs provided for practice.
Video Recording
Daily Session would be recorded and shared to the candidate.
Projects
Live projects will be provided for hands-on practice.
Resume Building
Expert-guided resume building with industry-focused content support.
Interview Preparation
Comprehensive interview preparation with real-time scenario practice.
AI, ML Intelligent Testing Course Curriculum
Foundations of AI and Intelligent Systems
Introduces the core concepts, history, and building blocks of Artificial Intelligence and intelligent behavior in systems.
Machine Learning Fundamentals
Covers the principles and workflow of machine learning, enabling systems to learn patterns from data.
Machine Learning Algorithms and Techniques
Explores commonly used machine learning algorithms and their practical use cases
Deep Learning and Neural Networks
Focuses on neural networks and deep learning models that mimic human brain behavior.
Introduction to Software Testing and Test Automation
Provides a foundation in software testing principles and modern automation practices.
AI and ML in Software Testing (Intelligent Testing)
Examines how AI and ML enhance testing efficiency through intelligent automation and decision-making.
Software Testing Courses
No related courses found
Additional Program Highlights
Upcoming Batches
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Who Should Take AI, ML Intelligent Testing
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Job Roles For AI, ML Intelligent Testing
Key Projects
AI, ML Intelligent Testing
Amazon – Amazon SmartTest Engine
Scenario: Built AI driven intelligent testing framework to predict defects optimize regression cycles and enhance automation coverage for ecommerce systems globally.
Live Work:
- Developed ML defect predictor
- Automated smart regression runs
- Integrated AI test analytics
Google – Google AI Test Matrix
Scenario: Implemented machine learning models for test case prioritization anomaly detection and self healing automation scripts in cloud applications.
Live Work:
- Built ML priority algorithm
- Enabled self healing scripts
- Monitored AI quality metrics
PayPal – PayPal IntelliSecure QA
Scenario: Designed AI based validation framework for fraud detection payment risk scoring and intelligent API regression testing across platforms.
Live Work:
- Trained fraud detection model
- Automated risk test flows
- Applied anomaly test scans
Netflix – Netflix Predictive QA Hub
Scenario: Developed predictive analytics driven testing system to detect streaming failures optimize load behavior and enhance viewer experience quality.
Live Work:
- Built failure prediction model
- Automated smart load tests
- Analyzed viewer data trends
Placement Process
Live Class with Industry Use Cases
- Interactive learning
- Real-world examples
- Expert guidance
- Doubt resolution
Daily Assignment & Weekly Assessments
- Hands-on practice
- Concept reinforcement
- Weekly evaluation
- Timely feedback
Project Testing & Deployment
- Project development
- Testing practice
- Deployment exposure
- Portfolio creation
Interview Preparation (Mock, PD, Alumni Session)
- Mock interviews
- Personal development
- Alumni guidance
- Confidence building
Resume Building
- Resume crafting
- Industry-focused format
- Skills highlighting
- Professional presentation
Placement
- Job assistance
- Interview support
- Career guidance
- Opportunity access
Knowledge Center
Recently Placed Candidates
We’re Hiring
News Highlights
Our Success Mantra
Commitment
- Ensuring quality training every day
Fulfillment
- Meeting learning goals with confidence
Accomplishment
- Students achieving industry-ready expertise
Our Learner Voice
Beyond Courses:
Additional Support We Provide
24/7 Support
LinkedIn Profile
Resume Writing
Alumni Sessions
Interview Preparation
Live Projects
What Makes TechPratham Training Different?
What is AI, ML & Intelligent Testing?
How does Intelligent Testing differ from traditional software testing?
What role does Machine Learning play in software testing?
What are the key benefits of AI-driven testing?
What types of AI techniques are used in Intelligent Testing?
Is coding knowledge required to learn Intelligent Testing?
Industry-Recognized Certification
India
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