AI Testing Training in Hyderabad

Learn QA basics, prompt-based test design, Playwright, Selenium, Cypress, API testing, chatbot and LLM output testing, hallucination and safety checks in a 2–3 month programme with 7 portfolio projects and placement assistance.

Choose classroom or live online batches and join a free demo class before you enrol. Confirm the final syllabus, fee and batch format with the team.

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AI Testing: see how you will learn and find the right batch.

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Quick course information

AI Testing: quick course information
Course detailInformation
CourseAI Testing
DurationAround 2–3 months; confirm for your batch
Learning modesClassroom in Kukatpally, live online or recorded
Curriculum16 modules with hands-on labs
Projects7 portfolio projects; confirm inclusions
Batch scheduleWeekday and weekend batches
TrainerShaheda Tabassum

Why choose Brolly AI for AI Testing training?

Brolly AI's AI testing training in Hyderabad is a 2–3 month, hands-on programme that covers both sides of AI testing: testing apps that use AI, and using AI tools to make software testing faster. You learn QA basics, prompt-based test design, Playwright, Selenium, Cypress, API testing, chatbot and LLM output testing, data and safety checks and defect reporting.

The course suits students, freshers, manual testers, automation testers, developers and QA teams. It starts from QA basics in simple language, then moves into automation, API checks, chatbot testing and LLM evaluation, and finishes with 7 portfolio projects, resume and LinkedIn support and mock interviews for AI QA, SDET and automation testing roles.

  • Training and support

    • AI testing curriculum designed around QA job tasks
    • Trainers with testing, automation and AI workflow experience
    • Projects on test cases, Playwright, Selenium, Cypress and APIs
    • Hands-on LLM and chatbot evaluation
    • 7 portfolio projects on AI testing use cases
    • One-to-one mentorship and career guidance
    • Resume, LinkedIn and mock interview preparation
    • Placement assistance
  • Flexibility and value

    • Classroom and live online batches
    • Weekday and weekend batch options
    • Free demo class before you enrol
    • Ask about EMI options
    • Content updated for 2026
    • Learner community for questions and practice
    • Brolly AI course completion certificate on request

See how you will learn.

Meet your trainer and find a batch that fits your schedule.

Book a free demo

AI Testing training syllabus (16 modules)

Our AI testing course in Hyderabad follows a 16-module syllabus that starts with QA basics and prompt writing for testers, moves through Playwright, Selenium, Cypress and API testing, covers chatbot and LLM evaluation, data, safety and bias checks, and finishes with ISTQB AI Testing topics, tools and a capstone.

This is a proposed learning outline. Confirm the final syllabus, labs, tool access and project requirements for your chosen batch before enrolling.

AI testing and modern QA basics

  • What AI testing means in simple words
  • Testing AI-based apps vs using AI for testing
  • The differences between manual, automation and AI testing
  • Why testers need AI skills in 2026
  • Career paths for AI testing learners in Hyderabad

Software testing foundation refresher

  • SDLC, STLC and Agile testing basics
  • Test scenarios, test cases and checklists
  • Functional, regression, smoke and sanity testing
  • The bug life cycle and defect reporting
  • How AI changes everyday QA work

Prompt writing for testers

  • Writing clear prompts for test cases
  • Using AI to create test ideas and edge cases
  • Prompt patterns for positive and negative testing
  • Reusable test prompt libraries
  • Reviewing AI-generated test cases before using them

Web automation with Playwright

  • Playwright setup and simple tests
  • Locators, assertions and waits
  • Cross-browser testing
  • Screenshots, traces and reports
  • Using AI to improve automation scripts

Selenium automation basics

  • Selenium WebDriver basics
  • Browser automation and user actions
  • Page object model basics
  • Running tests on common browsers
  • When Selenium is useful in real projects

Cypress for frontend testing

  • Cypress basics for web applications
  • End-to-end and component testing concepts
  • Assertions, fixtures and debugging
  • Accessibility and UI coverage awareness
  • Comparing Cypress, Playwright and Selenium

API testing for AI applications

  • API basics for testers
  • Testing request and response data
  • Postman collections and test checks
  • Status codes, headers, auth and error messages
  • Testing AI API outputs and fallback responses

Chatbot and LLM app testing

  • Testing chatbots and AI assistants
  • Checking helpfulness, accuracy and tone
  • Finding hallucinations and incomplete answers
  • Testing prompts, context and source-grounded answers
  • Creating a simple LLM test checklist

LLM evaluation and test data

  • Golden test sets and expected behaviour
  • Rubrics for answer quality
  • Testing with many user questions
  • Boundary, negative and unsafe prompts
  • Reporting LLM quality clearly

Data testing for AI systems

  • Missing values, duplicate data and wrong data types
  • Outliers and data quality checks
  • Bias and representativeness basics
  • Input data testing ideas aligned with the ISTQB AI Testing syllabus
  • Why clean data matters for AI quality

Safety, bias and red teaming

  • Testing harmful or unsafe answers
  • Bias checks in simple language
  • Privacy and sensitive data checks
  • Prompt injection awareness
  • Basic red teaming for GenAI systems

AI-assisted test generation

  • Using AI to draft test cases and automation steps
  • Using GitHub Copilot for code and test help
  • Reviewing generated code safely
  • Improving weak test cases
  • Building a tester productivity workflow

CI, reports and defect analysis

  • Running tests in a pipeline
  • Reading failures, screenshots and traces
  • Using AI to summarise defects
  • Creating test reports for managers
  • Reducing flaky test cases

Testing AI-specific quality

  • Accuracy, robustness and explainability basics
  • Testing adaptive and changing outputs
  • Acceptance criteria for AI-based systems
  • Risk-based testing for AI features
  • Human review and sign-off steps

ISTQB AI Testing alignment

  • What the ISTQB Certified Tester AI Testing (CT-AI) syllabus covers
  • AI quality characteristics
  • ML testing concepts in simple language
  • Using AI for testing activities
  • Awareness of the certification exam

AI testing tools and capstone

  • Playwright, Selenium, Cypress and Postman
  • GitHub Copilot and AI assistants
  • Prompts, LLM test datasets and evaluation rubrics
  • Reports and capstone project practice
Discuss the curriculum

AI Testing training fees and plans

Choose the plan that suits how you learn. Request the current fee and written inclusions for your selected mode, and confirm taxes, EMI options, cancellation terms and any separate tool, cloud or exam costs before paying.

  • Video recording plan

    Fee on enquiry. Self-paced recorded classes for revision at your own pace.

    • Basic to advanced recorded modules
    • Video access period
    • Capstone project review
    • Resume and interview support
    Ask about video recording plan
  • Classroom training

    Fee on enquiry. Structured classroom sessions at the Kukatpally centre.

    • Hands-on lab support and mentorship
    • Real-time project work
    • Mock interviews and soft-skills sessions
    • Placement assistance terms
    Ask about classroom training
  • Live online training

    Fee on enquiry. Live interactive classes with flexible timings.

    • Live sessions with doubt clearing
    • Session recordings for revision
    • Practice environment access
    • Mock interviews and resume review
    Ask about live online training
Discuss current fees

See how you will learn.

Meet your trainer and find a batch that fits your schedule.

Book a free demo

AI Testing training roadmap – beginner to advanced

Our AI testing classes in Hyderabad follow a practical roadmap across 2–3 months, in the classroom or live online. You start with QA and AI testing basics, move into automation and API testing, then chatbot testing and LLM evaluation, and finish with portfolio projects, certificate and placement preparation.

  1. Month 1: QA basics and prompt-based test design

    Software testing basics, what AI testing means, test cases, bug reports and prompt writing for testers, with AI-generated test ideas, edge cases and QA checklists.

  2. Month 2: Automation and API testing

    Playwright, Selenium and Cypress workflows for web apps, plus API testing with Postman for request, response, auth and error checks.

  3. Month 2: Chatbot testing and LLM evaluation

    Chatbot and AI assistant testing, hallucination and safety checks, golden test sets and evaluation rubrics for AI features.

  4. Month 3: Capstone projects, reports and placement

    Portfolio projects, test reports and defect summaries, interview-ready project explanations, resume, LinkedIn and mock interviews.

What is AI testing and why is it important?

AI testing means two things: testing apps that use AI, such as chatbots, AI assistants and AI-powered software, and using AI tools to make normal software testing faster. As AI features appear in websites, SaaS products and business tools, teams need testers who can check AI answers for accuracy, safety and usefulness, not just run standard test scripts.

  • Testing AI apps

    Check chatbots, AI assistants and AI-powered software for correct behaviour.

  • Using AI for testing

    Draft test cases, automation steps, bug summaries and reports with AI tools.

  • LLM output review

    Check answers for accuracy, hallucinations, tone, safety and missing information.

  • Automation support

    Combine AI with Playwright, Selenium, Cypress, Postman and CI reports.

  • Data checks

    Simple data quality, bias and input validation ideas for AI systems.

  • IT and software QA

    Teams test AI chat, search and recommendation features before release.

  • Customer support

    Test support bots and ticket summaries for wrong policy answers.

  • Finance, healthcare and HR

    Review AI summaries for privacy, accuracy, fairness and risk.

  • Needs a clear process

    Good AI testing uses test data, expected behaviour, rubrics and human review.

See how you will learn.

Meet your trainer and find a batch that fits your schedule.

Book a free demo

AI testing vs traditional automation testing: what's the difference?

AspectTraditional automation testingAI testing
FocusChecking that features work as specifiedTesting AI features and using AI to speed up QA
Outputs testedFixed, predictable resultsChanging, open-ended AI answers
SkillsTest design, scripting and frameworksPrompts, LLM evaluation, data and safety checks
ToolsSelenium, Playwright, Cypress, PostmanThe same frameworks plus GitHub Copilot and rubrics
ChecksPass or fail against expected valuesAccuracy, hallucinations, bias, tone and safety
CareersAutomation tester, SDET, API testerAI QA engineer, LLM test analyst, SDET with AI

Benefits of the AI Testing training in Hyderabad

Choose classroom or live online AI testing training at Brolly AI and get the same syllabus, practical projects and placement support in either mode.

  • Learn from experienced trainers

    Step-by-step teaching with easy examples, guided by testing and AI professionals.

  • Master AI testing tools

    Hands-on practice with Playwright, Selenium, Cypress, Postman and GitHub Copilot.

  • Work on real projects

    Test case generators, regression suites, chatbot reviews and API validation.

  • Understand AI models

    How AI assistants use context, prompts, knowledge sources and evaluation.

  • Get job support

    Resume preparation, project explanation practice and mock interviews.

  • Earn a course certificate

    Ask about the Brolly AI completion certificate that records the skills you trained in.

  • Industry-relevant skills

    Useful in IT, healthcare, e-commerce, finance and support teams.

  • Learn your way

    Classroom or live online batches with flexible timings; ask about EMI options.

  • Join a community

    Network with peers, alumni and mentors for continuous growth.

See how you will learn.

Meet your trainer and find a batch that fits your schedule.

Book a free demo

Thinking of AI Testing training in Hyderabad?

Here is how hands-on AI testing training at Brolly AI compares with a theory-led class.

Theory-led trainingBrolly AI training
Normal automation testing with AI as a small add-onStarts from QA basics in simple, beginner-friendly language
Little coverage of LLM, chatbot and hallucination testingAI app testing, AI-assisted testing and LLM evaluation
No clarity on AI testing vs AI for testingChatbot testing and hallucination review
Few hands-on projects on AI apps and APIs7 portfolio projects across automation, APIs and chatbots
Tools listed without real workflowsPlaywright, Selenium, Cypress, Postman and GitHub Copilot
No link to ISTQB AI Testing topicsTopics aligned with the ISTQB AI Testing syllabus
Weak guidance for AI QA and SDET rolesResume, LinkedIn and project explanation practice
Placement help stops at resume tipsMentorship for freshers, testers and developers

Meet your AI Testing trainer

Shaheda Tabassum, Brolly AI trainer

Shaheda Tabassum

Generative AI Specialist & LLM Architect

9+ years in Artificial Intelligence, Machine Learning and Generative AI

Core expertise: Large Language Models, Prompt Engineering, Retrieval-Augmented Generation, AI agents, NLP systems, Deep Learning, MLOps and cloud deployment on AWS.

Industry projects: LLM-based AI assistants, RAG-powered knowledge platforms, intelligent chatbots, fraud detection systems and predictive AI solutions for healthcare and manufacturing.

Teaching style: explains transformers, embeddings and AI agents in simple language, with hands-on coding and job-focused training.

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See how you will learn.

Meet your trainer and find a batch that fits your schedule.

Book a free demo

Skills you will gain from the AI Testing training

  • AI testing concepts

    Tell AI testing, AI for testing and normal automation testing apart.

  • AI-assisted test design

    Write test cases, edge cases and QA checklists with AI support.

  • Web automation

    Playwright, Selenium and Cypress concepts for web testing.

  • API testing

    Test APIs, response data, errors and AI output consistency.

  • LLM and chatbot review

    Check answers for hallucinations, safety and usefulness.

  • Evaluation rubrics

    Create golden test sets and rubrics for AI features.

  • Data, bias and privacy checks

    Apply simple data quality, bias and privacy checks.

  • GitHub Copilot for testers

    Use AI assistants carefully for test code support.

  • Reporting

    Defect reports, test summaries and QA documentation.

AI Testing capstone projects

Our AI testing course in Hyderabad is built around 7 practical projects, so you can show real testing skills in interviews and explain how you tested web apps, APIs and AI features.

Confirm the final projects, datasets and review process for your batch.

  • Project 1: AI test case generator

    A prompt workflow that creates test cases, edge cases and QA checklists for a sample app.

  • Project 2: Playwright AI regression suite

    Web automation tests with screenshots, traces and AI-assisted failure summaries.

  • Project 3: Selenium automation workflow

    A Selenium WebDriver suite using the page object model for a sample web app.

  • Project 4: Cypress frontend testing workflow

    End-to-end and component checks with fixtures, assertions and debugging.

  • Project 5: API and data validation

    Test API responses, error handling, data quality and AI output consistency.

  • Project 6: Chatbot quality review

    Test a chatbot for accuracy, hallucinations, unsafe answers, tone and source-grounded responses.

  • Project 7: Defect report assistant

    A workflow that turns failed test notes into clear defect reports and manager summaries.

See how you will learn.

Meet your trainer and find a batch that fits your schedule.

Book a free demo

Tools you use in the AI Testing training

You work with Playwright, Selenium, Cypress and Postman for web and API testing, GitHub Copilot and AI assistants for test code and test design support, and LLM evaluation checklists, test reports and defect analysis workflows.

This is the proposed tool list. Logos identify the tools taught; they do not imply a partnership or endorsement. Confirm account, licence and usage costs before the course starts.

  • Playwright

  • Selenium

  • Cypress

  • Postman

  • GitHub Copilot

  • AI prompts

  • LLM evaluation checklists

  • Test reports

  • Defect analysis workflows

Placement support for AI Testing learners

Our placement support helps you learn AI testing, explain your projects confidently to recruiters and apply for AI QA, automation and SDET roles in Hyderabad.

Placement assistance supports your job search; it is not a job or internship guarantee. Ask which activities are included for your batch and request their scope in writing.

  • Resume building

    ATS-friendly resumes tailored for AI QA, automation testing and SDET roles.

  • Placement training

    How to apply, target openings and handle company-specific hiring processes.

  • Interview questions

    AI testing, automation and LLM evaluation interview questions.

  • Internship opportunities

    Ask whether internship work under experts is available for your batch.

  • Real-time projects

    Show practical work in automation, API checks and chatbot testing.

  • Aptitude preparation

    Logical reasoning, problem-solving and technical test skills.

  • Personality development

    Communication, presentation and confidence for client interactions.

  • Mock interviews

    Technical and HR practice rounds to build confidence.

  • Interview scheduling

    Ask how interview scheduling with hiring companies works for your batch.

Discuss support options

See how you will learn.

Meet your trainer and find a batch that fits your schedule.

Book a free demo

Student community

  • Learning and collaboration

    Work with fellow students on AI testing projects, prompt libraries and test challenges.

  • Resources and tools

    Recorded sessions, test datasets and practice material to keep learning.

  • Networking

    Connect with trainers, industry mentors and fellow learners in Hyderabad.

  • Mentorship

    Guidance from testing and AI professionals on projects and careers.

  • Career development

    Updates on job postings, internship leads, freelance projects and placement assistance.

Prerequisites and eligibility

Our AI testing course in Hyderabad is open to beginners as well as technical learners. No advanced prerequisite is required: basic computer knowledge is enough to start, manual testing knowledge helps, and the course explains QA basics before moving into automation and AI testing topics.

  • Basic computer knowledge

    Enough to start; no advanced prerequisite is required.

  • Students and graduates

    Anyone pursuing or holding a degree can join.

  • Manual testing helps

    Useful but not mandatory; QA basics are taught first.

  • Basic programming helps

    Useful for automation modules; beginners start with QA and prompt-based testing.

  • No AI background needed

    AI essentials are explained in simple words.

  • Interest in quality

    Curiosity about finding bugs, improving software and learning AI workflows.

See how you will learn.

Meet your trainer and find a batch that fits your schedule.

Book a free demo

Who should join AI Testing training in Hyderabad?

  • Freshers and students

    Start a career in QA, AI testing or automation.

  • Manual testers

    Move into automation and AI-powered testing.

  • Automation testers

    Add Playwright, Cypress, LLM evaluation and AI app testing.

  • Developers

    Write better tests for web apps, APIs and AI features.

  • QA teams

    Bring AI-assisted test design and LLM checks into your team's process.

  • Working professionals

    Build practical AI QA skills for current and future roles.

AI Testing career opportunities in Hyderabad

AI testing skills apply to these roles in Hyderabad, and manual testers, automation testers and developers can also use them to move into AI-focused QA work.

Hiring outcomes and pay depend on your background, portfolio, interview performance and the employer; we do not publish guaranteed placement or salary figures.

  • AI QA engineer

    Tests AI-powered software and chatbot features.

  • AI testing engineer

    Builds test plans for AI apps, APIs and automation workflows.

  • SDET with AI skills

    Combines coding, automation and AI-assisted testing.

  • Automation tester

    Builds Playwright, Selenium or Cypress test suites.

  • LLM test analyst

    Checks chatbot answers, prompts, evaluation data and hallucinations.

  • Chatbot QA analyst

    Tests support bots, knowledge assistants and conversation flows.

  • API testing engineer

    Tests requests, responses, auth, error handling and data quality.

  • QA engineer with GenAI skills

    Uses AI tools for faster test design and reporting.

  • Defect analyst

    Reviews failures and writes clear bug reports.

See how you will learn.

Meet your trainer and find a batch that fits your schedule.

Book a free demo

AI Testing certification

Ask whether a Brolly AI AI Testing course completion certificate is included for your batch, what projects and assessments are required, and when it is issued. Together with your portfolio projects, it helps you show the skills you trained in.

ISTQB AI Testing exam preparation: Module 15 maps the course to the ISTQB Certified Tester AI Testing (CT-AI) syllabus and gives you a practical awareness of its topics. The CT-AI certification is issued by ISTQB through its member boards and exam providers, not by Brolly AI, and the exam fee is separate from the course fee.

  • AI features everywhere

    Websites, SaaS products, support tools and internal apps now ship AI features.

  • New tester skills

    Hyderabad teams need testers who understand QA, automation and AI output review.

  • Rising training demand

    Interest in AI testing is growing as teams adopt GenAI tools.

  • Modern QA stack

    Roles are shifting towards Playwright, Cypress, API testing and LLM evaluation.

  • Cross-team value

    Testers with AI skills support product, automation, data and business teams.

  • Hiring across sectors

    IT services, SaaS, startups, support, edtech and analytics teams are adopting AI.

See how you will learn.

Meet your trainer and find a batch that fits your schedule.

Book a free demo

Find a training mode that fits

Discuss availability for this course before choosing your batch.

  • Classroom in Hyderabad

    In-person sessions at the Kukatpally training centre with lab support and group project work.

  • Live online

    Live interactive classes with the same syllabus, practical work and project reviews.

  • Recorded and corporate options

    Ask about self-paced recorded plans and team programmes built around your work examples.

Course duration and batch details

Training batch schedule
BatchDaysLearning modeNext session
Weekday batchWeekdaysClassroom or live onlineConfirm the next start date and class time
Weekend batchWeekendsClassroom or live onlineConfirm the next start date and class time

Choose a weekday or weekend batch. Contact the team for the next start date, exact timings and available seats before enrolling.

Discuss current batches

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Frequently asked questions

What is the fee for the AI Testing course in Hyderabad?

Brolly AI offers the AI Testing course as a video recording plan, live online classes and classroom training. Fees are shared on enquiry for your chosen mode, with the written inclusions, EMI options and the current batch offer. Ask at your free demo class.

How long is the AI Testing course in Hyderabad?

The AI Testing course runs for around 2 to 3 months, depending on batch mode, practice time and project completion. Month 1 covers QA basics and prompt-based test design, month 2 covers automation, API testing, chatbot testing and LLM evaluation, and month 3 covers capstone projects and placement preparation.

How do I choose an AI Testing training institute in Hyderabad?

Compare the syllabus depth, hands-on projects, trainer experience and support. Brolly AI's 16-module syllabus starts from QA basics and covers Playwright, Selenium, Cypress and API testing, chatbot and LLM evaluation, with 7 portfolio projects, classroom and online batches, placement assistance and a free demo class before you enrol.

What is covered in the AI Testing course syllabus?

The syllabus covers QA and testing basics, prompt writing for testers, Playwright, Selenium and Cypress automation, API testing with Postman, chatbot and LLM app testing, LLM evaluation and test data, data testing for AI systems, safety, bias and red teaming, AI-assisted test generation with GitHub Copilot, CI and reporting, and ISTQB AI Testing topics.

What are the prerequisites for learning AI Testing?

No advanced prerequisite is required, and basic computer knowledge is enough to start. Manual testing knowledge is helpful, but the course explains QA basics before moving into automation and AI testing. Basic programming helps in the automation modules, and AI essentials are explained in simple words, so you do not need an AI background.

Can freshers and non-IT learners join AI Testing training?

Yes. Freshers can join, because the curriculum starts with QA basics and then moves step by step into AI testing, automation tools, projects and interview preparation. Coding is not mandatory for the beginner modules. Learners from non-IT backgrounds can start with QA basics and prompt-based testing before moving into automation.

What do AI Testing professionals earn in Hyderabad?

Pay for AI QA, automation testing and SDET roles depends on your skills, portfolio, experience and the employer. Strong automation, API testing and LLM evaluation experience tends to strengthen offers. We do not publish guaranteed salary figures; ask the team about current hiring trends.

Will I get placement support after the AI Testing course?

Placement assistance covers ATS-friendly resume building, LinkedIn profile support, placement training, AI testing interview questions, project explanation practice, aptitude preparation and mock interviews. It is not a job guarantee; ask which activities are included for your batch.

Will I get a certificate after the AI Testing course?

Ask whether a Brolly AI AI Testing course completion certificate is included for your batch and what projects are required. The course also gives you practical awareness of the ISTQB Certified Tester AI Testing (CT-AI) syllabus; that certification is issued by ISTQB through its exam providers, and the exam fee is separate.

Is classroom or online AI Testing training better?

Both follow the same syllabus and project approach. Classroom training at our Kukatpally centre gives you lab support and in-person mentorship, while live online classes offer flexible timings and session recordings for revision. Ask about a video recording plan if you prefer to learn at your own pace.

Which tools are taught in the AI Testing course?

You work with Playwright, Selenium, Cypress and Postman for web and API testing, GitHub Copilot and AI assistants for test code and test design support, AI prompts for test ideas, LLM evaluation checklists and rubrics for chatbot testing, and test reports and defect analysis workflows for reporting results to managers.

What is the difference between AI Testing and automation testing?

Automation testing checks that features work as specified, with fixed expected results. AI testing adds two things: testing AI features whose answers change, such as chatbots and assistants, for accuracy, hallucinations, bias and safety, and using AI tools to design tests faster. Brolly AI's course teaches both, on top of Playwright, Selenium and Cypress.

What projects are included in the AI Testing course?

You complete 7 portfolio projects: an AI test case generator, a Playwright regression suite with AI-assisted failure summaries, a Selenium automation workflow, a Cypress frontend testing workflow, an API and data validation project, a chatbot quality and hallucination review, and a defect report assistant that turns failed test notes into clear reports.

What career opportunities are available after AI Testing training?

You can apply for roles such as AI QA engineer, AI testing engineer, SDET with AI skills, automation tester, LLM test analyst, chatbot QA analyst, API testing engineer, QA engineer with GenAI skills and defect analyst. Manual testers, automation testers and developers can also use these skills to move into AI-focused QA work.

Where can I find AI Testing training near me in Hyderabad?

Brolly AI's training centre is on the National Highway at Hyder Nagar, Kukatpally, Hyderabad 500085, within reach of KPHB Colony, JNTU, Nizampet, Miyapur, Hitech City and Madhapur. If travelling is difficult, you can join the same AI Testing course live online or ask about a recorded plan.

See how you will learn.

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Talk to us in Hyderabad

Visit the Kukatpally training centre or discuss live online options. Call ahead to arrange a centre visit and confirm current timings.

Brolly AI, 65, National Highway, Jai Bharat Nagar, Hyder Nagar, Vasantha Nagar, Kukatpally, Hyderabad, Telangana 500085

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