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🔥 Most Popular in Pune

AI Testing Course in Pune by Uncodemy

Learners in Pune can join Uncodemy's 1.5-month instructor-led live online AI Testing program. The syllabus covers LLM, RAG, Chatbot and Agentic AI testing, prompt testing, hallucination detection and AI security testing. Designed for QA engineers, automation testers, SDETs and developers, the program includes 13 modules, 5 guided projects and dedicated career assistance. Fee: ₹12,500 + 18% GST, total ₹14,750.

⚡ SPECIAL OFFER: AI TESTING COURSE

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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
100%
Placement Support
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 Delhi — 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 Delhi)
✅ Target Audience:
QA Engineers, Automation Testers, SDETs, Manual/Selenium/Playwright/API Testers, Developers, Tech Leads
📜 Certificate:
Uncodemy AI Testing Program Certificate
🗓️ Last Reviewed:
25 September 2026

List of Placed Students Trained by Uncodemy

Uncodemy learners who complete the AI Testing training program develop practical skills in LLM testing, prompt evaluation, RAG testing, hallucination detection, chatbot and agentic AI testing, MCP testing and AI security testing. After completing their training and career preparation, eligible learners may apply for relevant roles such as AI Test Engineer, LLM QA Engineer and Automation Tester (AI-focused). As a newly launched specialization, placement outcomes for AI Testing learners will be published at uncodemy.com/placement as they are confirmed.

What is AI Testing?

AI testing is the practice of validating AI systems — large language models (LLMs), chatbots, RAG pipelines and AI agents — for accuracy, hallucination, security and reliability. Unlike traditional software testing, which checks deterministic outputs, AI testing must handle probabilistic responses, non-deterministic behaviour and evolving model outputs. It combines prompt evaluation, output scoring, retrieval quality checks and adversarial testing to ensure AI systems behave responsibly in production.

What does an AI test engineer do? An AI test engineer designs test cases for LLM outputs, evaluates prompts for reliability, tests RAG pipelines for retrieval accuracy, detects hallucinations using tools like RAGAS, monitors LLM behaviour with LangSmith, tests chatbots and AI agents, and reports issues with clear reproduction steps. Daily work involves Python or JavaScript scripting, API testing with Postman, and using frameworks like Playwright or Selenium for end-to-end AI application testing.

AI Testing vs Traditional Automation Testing (Playwright/Selenium)

AI testing focuses on validating probabilistic AI outputs, while traditional automation tests 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

The AI Testing course is a 1.5-month live online program delivered across ~35–40 live sessions and ~60+ hours (indicative) of learning. It is structured in 13 modules that progress from Generative AI fundamentals through prompt testing, LLM testing, hallucination detection, RAG testing, vector database testing, RAGAS, LangSmith, chatbot testing, agentic AI testing, MCP testing, AI security testing and AI testing automation. Every module includes practical exercises with real AI tools, and the program closes with 5 guided projects: Chatbot Testing, RAG Testing, Hallucination Detection, RAGAS Dashboard and AI Agent Testing. The program is delivered fully live online for Pune and nationwide learners.

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: A basic QA/testing background is helpful but not mandatory. Prior coding experience is recommended for scripting and automation modules. A laptop with 8GB RAM and a stable internet connection is required for practical sessions.

Upcoming AI Testing Course Batches for Pune Learners

Choose a batch timing that fits your schedule. Live online batches, IST timings. Book a free demo class first-hand, or join our upcoming weekend and weekday live batches — designed for both working professionals and students, with flexible timings and hands-on training.

Weekdays

Date Time Trainer Seats Left
16Sept 07:30 PM – 08:30 PM Mr. Fahim 01Seat
22Sept 02:00 PM – 03:00 PM Mr. Rishi 02Seats
26Sept 10:30 AM – 11:30 AM Mr. Fahim 01Seat
30Sept 12:00 PM – 01:00 PM Mr. Rishi 02Seats

Weekends

Date Time Trainer Seats Left
27Sept 03:00 PM – 05:00 PM Mr. Fahim 02Seats

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

Curriculum for AI Testing Course in Pune

AI Testing Course Syllabus in Pune

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 Pune

On completing all 13 modules, the assignments and the 5 guided projects, you receive the Uncodemy AI Testing Program Certificate. The certificate records the program name, duration, tools covered and completion date. Certification is issued on completion of the required coursework and assessment, providing a record of successful completion of the Uncodemy AI Testing program.

The certificate is provided along with the practical work completed during the program. Learners work on assignments and projects using the AI Testing tools covered in the curriculum, including ChatGPT, Gemini, Claude, RAGAS, LangSmith, FAISS/Chroma/Pinecone, Playwright, Selenium, Postman, Python/JS, LangChain and MCP. The 5 guided projects provide an opportunity to apply the concepts covered during the training.

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 separates two roles that most institutes combine. Trainers deliver the live sessions. Domain reviewers — separate specialists who don't teach the batch — verify that the curriculum is technically accurate and current. For this program, the technical content is reviewed by Mr. Fahim. It means the person teaching a course is not the only person checking whether its content is correct.

Every trainer and domain reviewer associated with Uncodemy is published by name, with their domain and background — you can look them up before you enrol rather than after.

Enroll in Our AI Testing Course for Pune Learners Today!

Enroll in Uncodemy's AI Testing Course for Pune learners today! Develop practical AI testing skills through instructor-led live online training, projects, assignments and career preparation. Start learning AI testing through instructor-led training, practical projects and structured career preparation.

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

Pune is one of India's fastest-growing IT and product-engineering hubs, with a strong base of software services, captive centres, automotive R&D, fintech and SaaS companies. Many of these organisations are actively integrating AI features — chatbots for customer support, RAG-based knowledge assistants, document-processing pipelines and agentic AI workflows — which creates demand for testers who understand prompt evaluation, hallucination detection, RAG pipeline validation and AI security. Hinjewadi, Magarpatta, Kharadi, Baner and Viman Nagar host a dense cluster of product companies, global capability centres and consulting firms, several of which are building GenAI features into their platforms. BFSI, manufacturing-tech, healthcare, edtech and e-commerce sectors in Pune are also deploying AI, and they need QA professionals who can validate probabilistic outputs rather than only deterministic behaviour. The role of an AI test engineer is emerging as a specialization within QA — candidates with traditional automation testing experience plus AI testing skills are well-positioned for these roles.

Job Roles After This Course+

AI Test Engineer, LLM QA Engineer, Prompt/RAG Tester, Automation Tester (AI-focused), AI Agent QA Specialist and AI Security Tester are the roles this course maps to. Each role involves validating AI systems for accuracy, reliability and security, but they differ in the specific AI components tested and the tools used.
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 Automation Tester (AI-focused) and move into the others with two to four years of experience, as they build domain knowledge in a specific AI component or testing area.

AI Testing Salary in Pune — Experience-wise+

Salary insights for AI Testing roles are being compiled as this is an emerging specialization. Salaries in Pune vary by experience level, sector and how strong your AI testing skills are, and the gap between the lowest and highest earners at the same title is often wider than freshers expect. Contact our counsellors for the latest market information, or view our published placement records at uncodemy.com/placement. Reviewed: September 2026.

Salary ranges are indicative and may vary based on role, skills, experience, location, employer and market conditions. Uncodemy does not guarantee any specific salary or employment outcome.

Top Sectors Hiring for AI Testing Roles in Pune+

Uncodemy works with 850+ companies in our hiring network across India, spanning large enterprises, mid-size firms and fast-growing startups, which gives learners exposure to more than one kind of hiring process and interview style. In Pune specifically, AI testing demand is emerging in:
  • 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 of these sectors tends to weight skills slightly differently, so as you get closer to placement, it helps to tailor your portfolio projects toward the one or two sectors you're most interested in.

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

Getting started with AI testing is a step-by-step skill build, not a single course, and skipping steps usually shows up later as gaps in 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: 1.5 months of consistent study to reach interview-ready standard, assuming a few focused hours most days rather than occasional binge sessions.

How This Course Compares to Other Testing Courses in Pune+

Pune has dozens of testing training options at very different price points, ranging from short weekend workshops to multi-month bootcamps. Here is an honest 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 focused, short specialization course, not a full QA bootcamp. If you are new to testing, consider starting with Playwright Automation Testing for foundational automation skills, then add AI Testing as a specialization.

Where we are not the cheapest option: shorter self-paced courses cost less. If your goal is a quick AI testing refresher rather than a full career transition, a shorter program may suit you better, and it's 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 rapidly. New LLM versions, RAG techniques and security vulnerabilities emerge frequently. Delivering this course live online allows Uncodemy to update the curriculum quickly, incorporate the latest tools and techniques, and give learners nationwide access to specialist instructors. Live online also means working professionals across Pune can join without commuting, and learners from other cities get the same instructor-led experience. All sessions are recorded for revision, and doubt-clearing happens 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

Frequently Asked Questions

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

The program runs for 1.5 months and includes ~60+ hours (indicative) of learning across ~35–40 live sessions. Weekday and weekend batches are both available.

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

This course is delivered live online nationwide, including for Pune learners. Classroom batches for AI Testing are not currently offered. Uncodemy does have physical training centres in Delhi and Noida for other classroom-based courses.

3. What tools are covered in this course?

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. Module 4 covers hallucination testing and Module 5 covers RAG testing. Both are core components of the curriculum, with practical exercises using RAGAS and LangSmith.

5. How many projects will I complete?

Five guided projects: Chatbot Testing, RAG Testing, Hallucination Detection, RAGAS Dashboard and AI Agent Testing. All projects go into a portfolio you can show in interviews.

6. Are the classes live or pre-recorded?

All ~35–40 sessions are live and instructor-led, with recordings available afterwards for revision.

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

The program fee is ₹12,500 plus 18% GST. Total fee is ₹14,750. This covers all sessions, materials, projects, certification and career support, with no additional charges.

8. Are EMI options available?

EMI options are available at ₹5,000 per month for 3 months. The exact amount, tenure and eligibility depend on the payment or financing option you choose — a counsellor can confirm your plan.

9. Is there a demo class before I enrol?

Yes. You can attend a demo session to see the teaching style, meet the trainer and review the curriculum before deciding. Contact us to book a demo.

10. Do you provide placement assistance?

We provide dedicated career and placement assistance — resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing through our network of 850+ companies. We do not guarantee employment, as hiring decisions rest with employers.

11. Who is this course designed for?

QA Engineers, Automation Testers, SDETs, Manual/Selenium/Playwright/API Testers, Developers and Tech Leads who want to add AI testing skills to their toolkit.

12. What is the salary for AI Testing roles?

Salary insights for AI Testing roles are being compiled as this is an emerging specialization. Contact our counsellors for the latest market information, or view our published placement records at uncodemy.com/placement.

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

AI Test Engineer, LLM QA Engineer, Prompt/RAG Tester, Automation Tester (AI-focused), AI Agent QA Specialist and AI Security Tester.

14. Do I need prior testing/coding experience?

A basic QA/testing background is helpful but not mandatory. Prior coding experience is recommended for scripting and automation modules. A laptop with 8GB RAM and stable internet is required.

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

Statistics are based on Uncodemy's internal records and publicly available review-platform information. Review counts and ratings may change over time. Placement and salary outcomes vary by learner, skills, experience, location, employer and market conditions. Career and placement assistance does not constitute a guarantee of employment or a specific salary package.

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

No. 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.

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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Nearest Classroom Training Centres

The AI Testing course is delivered fully live online. Learners interested in visiting Uncodemy's physical training centres (for other classroom-based courses) can find them in Delhi and Noida. Uncodemy's Delhi centre is located on the 2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Road, Shakarpur Extension — a 10–15 minute walk from Nirman Vihar Metro Station and Laxmi Nagar Metro Station. Uncodemy's Noida centre is at B 14-15, Udhyog Marg, Block B, Sector 1, Noida.

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2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Rd, next to DSEU Ambedkar College, Laxmi Nagar, Shakarpur Extension, Shakarpur, Delhi, 110092
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B, 14-15, Udhyog Marg, Block B, Sector 1, Noida, Uttar Pradesh 201301
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