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🔥 Most Popular in Guntur

AI Testing Course in Guntur by Uncodemy

Uncodemy brings a six-week live online AI Testing course to learners in Guntur, taught by practising industry specialists. Coverage runs across LLM, RAG, chatbot and agentic AI testing, together with prompt evaluation, hallucination detection and AI security. Built for QA engineers, automation testers, SDETs and developers, it spans 13 modules, 5 guided projects and structured career assistance. Fee: ₹12,500 + 18% GST, total ₹14,750.

⚡ SPECIAL OFFER: AI TESTING COURSE

Special Offer: AI Testing Course

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Total ₹14,750
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Expert Trainers

Learn from 8+ years experienced professionals

Hands-on Automation Projects

Build real Playwright test suites, not just theory

Lifetime Access

Get lifetime access to recorded sessions & materials

Dedicated Career & Placement Assistance

Resume Building, Mock Interviews & Job Support

Certified Course

Certificate of Completion from Uncodemy

Flexible Batches

Weekday & Weekend Online & Offline

Why Choose
Uncodemy?

14+
Years of Training Excellence
850+
Companies in Our Hiring Network
54,000+
Learners Trained
200+
Corporate Associations
Dedicated
Career & Placement Assistance
Online & Offline Classes
Weekend & Weekday Batches
100% Practical Training
Affordable Fees
EMI Options Available
Dedicated Support

Program Details

AI Testing Course — Live Online Program Hands-on learning focused on practical AI testing skills and interview preparation.
A comprehensive 1.5-month instructor-led live online program covering LLM, RAG, Chatbot, Agentic AI testing, prompt testing, hallucination detection and AI security with practical projects, mentoring and career support.
📚 Learning:
~60+ Hours (indicative)
⏱️ Program Duration:
1.5 Months
🎓 Live Training:
~35–40 Live Sessions (indicative)
🛠️ Technology Coverage:
10–12 Tools & Technologies
💼 Practical Learning:
5 Guided Projects (Chatbot Testing, RAG Testing, Hallucination Detection, RAGAS Dashboard, AI Agent Testing)
💰 Program Fee:
₹12,500 + 18% GST
💰 Total Fee:
₹14,750
🚀 Career Support:
Dedicated Career & Placement Assistance
🏢 Hiring Network:
850+ Companies in Our Hiring Network
🎯 Career Support Includes:
Resume Building & LinkedIn Optimization, Mock Interviews & Interview Preparation, Career Guidance & Job Opportunity Assistance

AI Testing Course in Guntur — Quick Facts

🎓 Course:
AI Testing Course
🏢 Provider:
Uncodemy Edutech Pvt. Ltd.
📚 Total Learning:
~60+ Hours (indicative)
📖 Curriculum:
13 Modules
💼 Projects:
5 Guided Projects
🛠️ Tools:
ChatGPT, Gemini, Claude, RAGAS, LangSmith, Playwright, Selenium
🌐 Mode:
Live Online (nationwide, including Guntur)
✅ Target Audience:
QA Engineers, Automation Testers, SDETs, Manual/Selenium/Playwright/API Testers, Developers, Tech Leads
📜 Certificate:
Uncodemy AI Testing Program Certificate
🗓️ Last Reviewed:
3 October 2026

List of Placed Students Trained by Uncodemy

Learners who finish Uncodemy's AI Testing course leave with practical command of LLM assessment, prompt review, RAG validation, hallucination screening, chatbot and agent-based AI testing, MCP appraisal and AI security evaluation. With training and career-readiness support in place, suitable candidates may aim for roles including AI Test Engineer, LLM QA Engineer and AI-focused Automation Tester. Because this specialization is still evolving, placement news for AI Testing learners will be published at uncodemy.com/placement when available.

Abhinav Pandey
16 LPA
Gurugram

Abhinav Pandey

Automation Test Engineer

Placed at:DXC

Batch: APIAT/WD/F 07:30AM 29A
Read placement record
Aishwarya
26 LPA
Guntur

Aishwarya

QA Tester

Placed at:EPAM

AT/PT/WD/S 09:00 AM 07 Oc - UC
Read placement record
Amit Bishnoi
3.6 LPA
Mohali, Punjab

Amit Bishnoi

Software Tester Engineer

Placed at:Xornor Technologies

ST/09/0823/S WD 7PM
Read placement record
Ayush Asthana
9 LPA
India

Ayush Asthana

Senior Test Specialist

Placed at:Cognizant

APIAT/P/WD/R 08:00 AM 12J+10JL - UC
Read placement record
Dinesh Kaushik
3 LPA
Gurugram, Haryana

Dinesh Kaushik

Software Tester

Placed at:CoolBoots

ST/09/0823/S WD 7PM
Read placement record

What is AI Testing?

AI testing describes how AI systems — large language models, chatbots, RAG pipelines and AI agents — get checked for correctness, hallucination risk, security and dependability. Conventional software testing assumes predictable results; AI testing instead accounts for variable responses, non-deterministic behaviour and model results that keep shifting. It stitches together prompt evaluation, output review, retrieval quality inspection and adversarial probing to keep AI systems dependable in real-world deployment.

What does an AI test engineer do? During a typical workday, an AI test engineer builds test scenarios for LLM outputs, judges prompt quality, verifies that RAG workflows retrieve accurately, detects hallucinations using tools like RAGAS, monitors LLM performance through LangSmith, assesses chatbots and AI agents, and logs defects with clear reproduction details. The role usually relies on Python or JavaScript scripts, API testing tools like Postman, and frameworks such as Playwright or Selenium for end-to-end AI application validation.

AI Testing vs Traditional Automation Testing (Playwright/Selenium)

AI testing focuses on checking probabilistic AI outputs, while traditional automation validates deterministic web and API behaviour.

Aspect AI Testing Traditional Automation (Playwright/Selenium)
Core focus Testing LLMs, chatbots, RAG pipelines & AI agents for accuracy/hallucination/security Testing web/API functionality via scripted automation
Coding depth Moderate Moderate to High
Typical entry salary Salary insights being compiled (emerging specialization) ₹3.5–5.5 LPA (per Uncodemy Playwright course sheet)
Course duration 1.5 months 2.5–3 months

Salary ranges are indicative where available and vary by role, skills, experience, location and employer.

Course Overview

This AI Testing course is delivered live online over 1.5 months, running across about 35–40 interactive sessions and roughly 60+ hours of guided instruction. Its 13 modules move from Generative AI fundamentals into prompt testing, LLM validation, hallucination detection, RAG testing, vector database evaluation, RAGAS, LangSmith, chatbot evaluation, agentic AI testing, MCP testing, AI security assessment and AI testing automation. Every module includes practical work with real AI tools, and the program wraps up with 5 guided projects: Chatbot Testing, RAG Testing, Hallucination Detection, RAGAS Dashboard and AI Agent Testing. Guntur residents and learners across India take part in this training entirely live online.

Who should join this course:

  • QA engineers upskilling into AI testing from traditional QA roles.
  • Automation testers and SDETs wanting to add AI/LLM testing skills to their toolkit.
  • Manual, Selenium, Playwright and API testers looking to specialize in AI QA.
  • Developers interested in understanding AI testing practices and QA for AI systems.
  • Tech leads evaluating AI testing practices and frameworks for their teams.

Eligibility: Some QA or testing background is useful but not a requirement. Preliminary coding experience helps for the scripting and automation portions. Practical sessions require a laptop with 8GB RAM and a steady internet connection.

Upcoming AI Testing Course Batches for Guntur Learners

Choose a batch that matches your rhythm. Live online sessions follow IST timings, and a free demo class can be reserved ahead of enrolment. Weekday and weekend batches suit working professionals and students respectively, with flexible slots and practical, hands-on instruction.

Weekdays

Date Time Trainer Seats Left
07:30 PM – 08:30 PMMr. Fahim01Seat
02:00 PM – 03:00 PMMr. Rishi02Seats
10:30 AM – 11:30 AMMr. Fahim01Seat
12:00 PM – 01:00 PMMr. Rishi02Seats

Weekends

Date Time Trainer Seats Left
03:00 PM – 05:00 PMMr. Fahim02Seats

Seats are limited and updated daily. All timings are in IST.

Curriculum for AI Testing Course in Guntur

AI Testing Course Syllabus in Guntur

The syllabus is organised into 13 modules covering ~60+ hours (indicative). The order follows how AI testing actually works: GenAI fundamentals → prompt/LLM/hallucination testing → RAG & vector DB testing → RAGAS/LangSmith tooling → chatbot/agentic/MCP testing → AI security → test automation for AI systems. Each module includes practical exercises with real tools, and the program closes with 5 guided projects.

Module 1: Generative AI Fundamentals — ~5 hrs

  • LLM basics: architecture, parameters, context windows
  • Tokenization, embeddings and model behaviour
  • GenAI landscape: ChatGPT, Gemini, Claude
  • How LLMs differ from traditional software
  • Probabilistic outputs and non-determinism

Module 2: Prompt Testing — ~5 hrs

  • Prompt design principles and patterns
  • Evaluation of prompt outputs for correctness
  • Edge cases, ambiguity and adversarial prompts
  • Robustness testing across variations
  • Prompt versioning and regression testing

Module 3: LLM Testing — ~5 hrs

  • Output validation and consistency checks
  • Bias detection and fairness testing
  • Scoring approaches for LLM responses
  • Automated LLM testing with Python
  • Observability using LangSmith

Module 4: Hallucination Testing — ~4 hrs

  • Types of hallucinations in LLMs
  • Detection methods and fact-checking
  • Mitigation strategies and grounding
  • Using RAGAS for faithfulness scoring
  • Reporting hallucination issues

Module 5: RAG Testing — ~6 hrs

  • RAG architecture: retriever, generator, context
  • Retrieval accuracy and relevance testing
  • End-to-end RAG pipeline validation
  • Chunking strategies and their impact
  • Using LangChain for RAG test harnesses

Module 6: Vector Database Testing — ~5 hrs

  • Vector databases: FAISS, Chroma, Pinecone
  • Embedding quality and similarity search
  • Index types and performance testing
  • Retrieval accuracy measurement
  • Data privacy and isolation testing

Module 7: RAGAS — ~4 hrs

  • RAGAS metrics: faithfulness, answer relevance, context precision
  • Building evaluation datasets
  • Running RAGAS evaluations
  • Interpreting RAGAS dashboards
  • Integrating RAGAS into CI pipelines

Module 8: LangSmith — ~4 hrs

  • LLM observability and tracing
  • Debugging chains and agents
  • Evaluating LLM outputs at scale
  • Dataset creation and regression testing
  • Monitoring production LLM applications

Module 9: Chatbot Testing — ~5 hrs

  • Conversational flow testing
  • Intent recognition and fallback handling
  • Multi-turn context retention
  • Testing for inappropriate responses
  • Automating chatbot test suites

Module 10: Agentic AI Testing — ~5 hrs

  • AI agents: planning, tool use, memory
  • Multi-step agent validation
  • Testing tool selection and execution
  • Failure mode analysis for agents
  • Using LangChain for agent test harnesses

Module 11: MCP Testing — ~4 hrs

  • Model Context Protocol (MCP) overview
  • Tool integration and schema validation
  • Testing MCP servers and clients
  • Security considerations for MCP
  • End-to-end MCP workflow testing

Module 12: AI Security Testing — ~5 hrs

  • Prompt injection and jailbreak testing
  • Data leakage and privacy testing
  • Adversarial inputs and robustness
  • Testing guardrails and filters
  • Reporting AI security vulnerabilities

Module 13: AI Testing Automation — ~5 hrs

  • Playwright for AI application testing
  • Selenium integration for legacy AI apps
  • API testing with Postman for AI endpoints
  • Python and JavaScript test automation
  • Building CI pipelines for AI tests
# Module Hours Tools
1 Generative AI Fundamentals 5 ChatGPT, Gemini, Claude
2 Prompt Testing 5 ChatGPT, Gemini, Claude
3 LLM Testing 5 Python, LangSmith
4 Hallucination Testing 4 RAGAS, LangSmith
5 RAG Testing 6 LangChain, RAGAS
6 Vector Database Testing 5 FAISS, Chroma, Pinecone
7 RAGAS 4 RAGAS
8 LangSmith 4 LangSmith
9 Chatbot Testing 5 ChatGPT, Python
10 Agentic AI Testing 5 LangChain, MCP
11 MCP Testing 4 MCP
12 AI Security Testing 5 Python, Postman
13 AI Testing Automation 5 Playwright, Selenium, Postman
Total 62 Hours (~60+) 10–12 tools

Contacted by

UT

Mr. Fahim Abbas Zaidi.

Senior AI Testing Trainer

5+ Years Experience

Specialization: Manual & Automation Testing

Get Your AI Testing Certification In Guntur

Upon clearing all 13 modules, the assignments and the 5 guided projects, learners are awarded the Uncodemy AI Testing Program Certificate. It carries the program name, duration, tools covered and date of completion. The certificate is granted after the coursework and assessment have been completed, marking successful completion of the Uncodemy AI Testing program.

The certificate arrives alongside the practical output produced during the program. Participants complete assignments and projects using the AI Testing tools taught in the curriculum — ChatGPT, Gemini, Claude, RAGAS, LangSmith, FAISS/Chroma/Pinecone, Playwright, Selenium, Postman, Python/JS, LangChain and MCP. The 5 guided projects give participants a chance to apply what they've learned.

Key Benefits of Our AI Testing Certification:

  • Program Completion :Provides a record of successful completion of the AI Testing program.
  • Practical Project Portfolio :The training includes 5 guided projects using real AI testing tools.
  • Industry-Relevant Skills :Covers LLM, RAG, chatbot, agentic AI, MCP and AI security testing.

This is an independent Uncodemy certificate. It is not affiliated with, endorsed by, or a credential of OpenAI, Google, Anthropic or any other AI vendor whose tools (ChatGPT, Gemini, Claude) are taught in this course. Certificate verification process pending confirmation.

Uncodemy Certificate Verification Online Certificate Verification & Download certificate.uncodemy.com
IIBA Endorsed Education Provider certificate — Uncodemy
Uncodemy Data Science Program Certificate
Uncodemy MSME registration certificate

Tools and Technologies Covered

Apply Now

Introducing Uncodemy


Project portfolio review:Your 5 guided projects are reviewed and refined into a portfolio an interview will find credible.

Resume & LinkedIn:We build your resume around AI testing keywords and measurable outcomes, and align your LinkedIn profile to match.

Interview preparation:Prompt evaluation scenarios, RAG debugging, framework-design questions and AI testing case studies specific to AI QA hiring.

Mock interviews:Sessions with industry trainers, followed by written feedback on what to fix.

Opportunity sharing:Relevant openings from our hiring network of 850+ companies are shared with you, with support through the application and interview process.

Continued support:This is active assistance, not a guarantee of employment — no training institute can honestly promise a job. Support continues after your program ends for learners who stay engaged with the process.

Instructors

The people who actually teach this course

Uncodemy deliberately splits two roles that most institutes blend together: trainers run the live sessions, while domain reviewers — independent specialists not teaching the batch — verify that the curriculum stays technically accurate and up to date. For this program, Mr. Fahim reviews the technical material. That way, whoever teaches a course isn't the only person judging whether its content is correct.

Every trainer and domain reviewer linked to Uncodemy is listed by name with their domain and background — so you can look them up before enrolling rather than after.

Enroll in Our AI Testing Course for Guntur Learners Today!

Register today for Uncodemy's AI Testing Course tailored to Guntur learners! Build practical AI testing abilities through live, instructor-led online training, projects, assignments and career preparation. Kick off your AI testing journey with expert guidance, real project work and focused career preparation.

AI Testing / LLM QA Jobs and Career Scope in Guntur+

Guntur is developing fast into an IT and product-engineering hub, anchored by an established foundation of software services, captive centres, automotive R&D, fintech and SaaS firms. A sizeable number of these organisations are actively embedding AI features — support chatbots, RAG-based knowledge assistants, document-processing pipelines and agentic AI workflows — which fuels demand for testers skilled in prompt evaluation, hallucination detection, RAG pipeline validation and AI security. Hinjewadi, Magarpatta, Kharadi, Baner and Viman Nagar hold a dense cluster of product companies, global capability centres and consulting firms, several of which are weaving GenAI features into their platforms. BFSI, manufacturing-tech, healthcare, edtech and e-commerce players in Guntur are also adopting AI, and they need QA professionals equipped to validate probabilistic outputs — not merely deterministic behaviour. AI test engineering is steadily taking shape as a specialization within QA, and candidates combining conventional automation testing experience with AI testing abilities are well-positioned for such roles.

Job Roles After This Course+

This course prepares you for AI Test Engineer, LLM QA Engineer, Prompt/RAG Tester, Automation Tester (AI-focused), AI Agent QA Specialist and AI Security Tester roles. Each involves verifying AI systems for accuracy, reliability and security, though they differ in the specific AI components tested and the tools applied.
Role Core Tools
AI Test Engineer Python, RAGAS, LangSmith, Playwright
LLM QA Engineer ChatGPT, Gemini, Claude, Python
Prompt/RAG Tester RAGAS, LangChain, Vector DBs
Automation Tester (AI-focused) Playwright, Selenium, Postman, MCP
AI Agent QA Specialist LangChain, MCP, Python
AI Security Tester Python, Postman, adversarial testing tools
Most graduates start as an AI Test Engineer, LLM QA Engineer or AI-focused Automation Tester, then branch into the remaining roles after two to four years, once they've built domain knowledge in a particular AI component or testing area.

AI Testing Salary in Guntur — Experience-wise+

As AI Testing is still a nascent specialization, salary benchmarks for these roles remain under compilation. Remuneration in Guntur depends on experience level, sector and the depth of your AI testing abilities, and the spread between lowest and highest earners in the same role often exceeds what freshers anticipate. Speak with our counsellors for up-to-date market data, or browse our published placement records at uncodemy.com/placement. Reviewed: September 2026.

These salary ranges are indicative and may shift with role, skills, experience, location, employer and market conditions. Uncodemy does not guarantee any particular salary or employment outcome.

Top Sectors Hiring for AI Testing Roles in Guntur+

Uncodemy's hiring network covers 850+ companies across India — large enterprises, mid-size firms and fast-scaling startups — offering learners exposure to multiple hiring processes and interview styles. Within Guntur specifically, AI testing demand is emerging across:
  • IT services and global capability centres — Hinjewadi, Kharadi and Magarpatta, integrating AI into enterprise applications
  • Product companies and SaaS startups — building chatbots, AI assistants and RAG-based features
  • BFSI and fintech — deploying AI for risk, fraud detection and customer support
  • Automotive and manufacturing-tech — AI for quality control, predictive maintenance and diagnostics
  • Healthcare, edtech and e-commerce — AI for diagnostics, personalization and customer service
Each sector weighs skills a little differently, so as placement approaches, it helps to align your portfolio projects with the one or two industries you find most compelling.

How to Get Started with AI Testing — Step by Step+

AI testing is learned as an incremental skill build rather than a single course, and skipped steps usually resurface later as gaps during interviews or on the job.
  • Build GenAI fundamentals— understand LLMs, tokenization and model behaviour.
  • Learn prompt testing— design and evaluate prompts for reliability and edge cases.
  • Master LLM & hallucination testing— validate outputs and detect hallucinations.
  • Learn RAG & vector database testing— test retrieval accuracy and embedding quality.
  • Use RAGAS & LangSmith— for RAG evaluation and LLM observability.
  • Test chatbots, agentic AI & MCP— conversational flows, multi-step agents, tool integration.
  • AI security & automation— prompt injection, adversarial tests, Playwright/Selenium for AI apps.
Typical timeline: around 1.5 months of steady study to reach interview-ready standard, provided you log a few focused hours on most days rather than the occasional marathon session.

How This Course Compares to Other Testing Courses in Guntur+

Guntur offers dozens of testing training options across widely varying price points, from short weekend workshops to multi-month bootcamps. Below is a candid comparison so you can judge the fit yourself rather than relying on marketing claims alone.
Factor AI Testing (This Course) Playwright Automation Testing
Duration 1.5 months 2.5–3 months
Modules 13 10–12
Tools covered ChatGPT, RAGAS, LangSmith, Playwright, Selenium, Python/JS Playwright, Selenium, Postman, TypeScript/JS
Projects 5 guided AI testing projects 5 guided automation projects
Mode Live Online Classroom / Live Online
This is a short, focused specialization, not a complete QA bootcamp. If testing is new to you, consider starting with Playwright Automation Testing to build foundational automation skills, then layering AI Testing on top as a specialization.

Where we are not the cheapest option: shorter self-paced courses do cost less. If what you need is a quick AI testing refresher rather than a full career transition, a shorter program may suit you better — it is worth being honest with yourself about which of the two you actually need.

Why Live Online for AI Testing?+

AI testing tools and best practices evolve at pace. Fresh LLM versions, RAG techniques and security vulnerabilities surface regularly. Delivering this course live online lets Uncodemy refresh the curriculum promptly, fold in the newest tools and techniques, and give learners nationwide access to specialist instructors. Live online delivery also lets working professionals in Guntur attend without commuting, while learners elsewhere receive the same instructor-led experience. All sessions are recorded for revision, and doubts are cleared in real time.

Is this course right for you?+

If you want... Recommend
Already know Selenium/Playwright and want to add AI testing skills This AI Testing course
New to testing and want to start with AI testing directly Start with Playwright Automation first, then this course
Full QA-to-SDET foundation first Playwright Automation Testing course
Developer wanting to understand AI QA practices This AI Testing course

Student Project For AI Testing

Through this AI Testing program, Uncodemy learners build practical skills in test automation, API testing, performance validation, security testing and CI/CD integration. With training and career-readiness support completed, eligible candidates can pursue positions such as Automation Test Engineer, QA Engineer and SDET.

Frequently Asked Questions

1. What is the duration of the AI Testing course in Guntur?▼

The training lasts around six weeks, with an estimated 60+ hours of instruction spread over 35–40 live sessions. Weekday and weekend batches may be available, allowing learners to choose a schedule that suits their routine.

2. Is this course available in classroom mode, or only online?▼

Learners from Guntur can take the AI Testing course through live online classes. This particular program does not currently have an in-person classroom option. Uncodemy has physical training centres in Delhi and Noida for selected classroom courses.

3. What tools are covered in this course?▼

Students are introduced to about 10–12 tools, including ChatGPT, Gemini, Claude, RAGAS, LangSmith, FAISS, Chroma, Pinecone, Playwright, Selenium, Postman, Python/JS, LangChain and MCP.

4. Does the course cover RAG testing and hallucination detection?▼

Yes. The syllabus teaches hallucination detection in Module 4 and RAG testing in Module 5. Practical exercises with RAGAS and LangSmith help learners understand how to test the reliability and performance of AI-driven applications.

5. How many projects will I complete?▼

The program includes five practical projects: chatbot testing, retrieval-augmented generation testing, hallucination detection, building a RAGAS dashboard and AI agent testing. The resulting work can help demonstrate your capabilities to recruiters.

6. Are the classes live or pre-recorded?▼

The course is taught in live instructor-led sessions, with approximately 35–40 classes planned. Recordings are available after the sessions for learners who want to revisit explanations or revise the material independently.

7. What is the fee for the AI Testing course?▼

The course fee before tax is ₹12,500. GST at 18% adds ₹2,250, making the overall cost ₹14,750. The listed package covers classes, learning resources, projects, certification and career support.

8. Are EMI options available?▼

There may be an option to pay ₹5,000 each month for three months. Your final terms and eligibility will depend on the available payment or finance facility. Please consult a counsellor to verify the plan before enrolment.

9. Is there a demo class before I enrol?▼

You can contact Uncodemy to find out about attending a demo session. It allows prospective learners to experience the trainer's teaching style, review the topics and decide whether the course is a good fit before registering.

10. Do you provide placement assistance?▼

Uncodemy's career support may include help with resumes, LinkedIn profiles, portfolio presentation, interview preparation, mock interviews and relevant job updates shared through a network of 850+ companies. Employment remains dependent on selection by individual employers.

11. Who is this course designed for?▼

The course is relevant for QA engineers, SDETs, automation and manual testers, API testing professionals, Selenium or Playwright users, developers and technical leads interested in building skills for testing AI applications.

12. What is the salary for AI Testing roles?▼

AI Testing is an evolving career specialisation, so reliable salary estimates are still being assembled. For current market information, speak to a counsellor or review the published placement details available at uncodemy.com/placement.

13. What job roles can I apply for after this course?▼

Potential roles include AI Test Engineer, LLM QA Engineer, Prompt/RAG Tester, Automation Tester specialising in AI, AI Agent QA Specialist and AI Security Tester. Relevant experience and demonstrated technical skills influence job eligibility.

14. Do I need prior testing/coding experience?▼

A foundation in QA can help you follow the course, but prior testing experience is not compulsory. Coding familiarity is recommended for scripting and automation exercises. A laptop with 8GB RAM or more and reliable internet is required.

15. Are the placement and review figures on this page guaranteed?▼

Course-page statistics are drawn from Uncodemy's internal records and publicly available review-platform information. Ratings and counts can change. Placement and salary outcomes vary with individual skills, experience, location, employers and market conditions. Career support does not guarantee a job or a specified salary.

16. Is Uncodemy's AI Testing certificate affiliated with OpenAI, Google or Anthropic?▼

No. This certificate is an independent Uncodemy training credential, not an official certification or endorsement from OpenAI, Google, Anthropic or any other AI vendor whose tools feature in the course curriculum.

Why Trust This Page? Discover Why Students Choose Uncodemy

How we maintain this page

  • Content written by: Mr. Chandra Sekhar
  • Content rechecked and verified by: Mr. Rishi Raj
  • Course curriculum verified by:: Mr. Fahim Abbas Zaidi
  • Technical content verified by: : Mr. Fahim Abbas Zaidi
  • Fee verified by: Admin Department
  • Placement figures sourced from internal placement records
  • Review counts verified against respective third-party platforms
  • Last reviewed:
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