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🔥 Most Popular in Noida

AI Testing Course in Noida by Uncodemy

Uncodemy offers Noida learners a 1.5-month AI Testing course delivered live online by an instructor. Its 13 modules explore LLM, RAG, chatbot and agentic AI testing, along with prompt evaluation, hallucination detection and AI security. The course is intended for QA engineers, automation testers, SDETs and developers, and includes five guided projects plus career assistance. The fee is ₹12,500 plus 18% GST, totalling ₹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
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.
AI Testing Course — Live Online Program Build practical AI testing capabilities and prepare for technical interviews.
This 1.5-month instructor-led live online program covers LLM, RAG, chatbot and agentic AI testing, prompt evaluation, hallucination detection and AI security, with practical projects, mentoring and career guidance.
📚 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

Learners at Uncodemy who complete this AI Testing program build real-world skills in LLM evaluation, prompt review, RAG validation, hallucination checks, chatbot and agent-based AI testing, MCP assessment, and AI security analysis. After finishing the training and career readiness support, eligible candidates can explore roles such as AI Test Engineer, LLM QA Engineer, and Automation Tester with an AI focus. Since this specialization is still emerging, placement updates for AI Testing learners will be shared on uncodemy.com/placement as they become available. Learners who finish Uncodemy's AI Testing program gain hands-on experience in LLM evaluation, prompt review, RAG validation, hallucination analysis, chatbot and agent testing, MCP assessment and AI security. After completing the training and career preparation, eligible candidates may pursue roles such as AI Test Engineer, LLM QA Engineer or AI-focused Automation Tester. As the specialization is still emerging, placement updates will be posted at uncodemy.com/placement when available.

What is AI Testing?

AI testing is the process of checking AI systems — including large language models, chatbots, RAG pipelines, and AI agents — for correctness, hallucination risk, security, and dependability. Unlike conventional software testing, which focuses on predictable outcomes, AI testing deals with variable responses, non-deterministic behavior, and constantly changing model results. It brings together prompt assessment, output review, retrieval quality checks, and adversarial testing to keep AI systems reliable in real-world use. AI testing checks systems such as large language models, chatbots, RAG pipelines and AI agents for accuracy, hallucination risk, security and reliability. Standard software tests often expect consistent outcomes, while AI can produce varying responses and model behaviour can change. This field combines prompt evaluation, response analysis, retrieval checks and adversarial testing to support reliable real-world performance.

What does an AI test engineer do? An AI test engineer creates test scenarios for LLM responses, reviews prompt quality, validates RAG workflows for accurate retrieval, identifies hallucinations with tools such as RAGAS, tracks LLM performance through LangSmith, evaluates chatbots and AI agents, and documents defects with clear reproduction details. In day-to-day work, they often use Python or JavaScript scripts, API testing tools like Postman, and frameworks such as Playwright or Selenium for end-to-end AI application validation. What does an AI test engineer do? The job includes designing checks for LLM responses, evaluating prompts, confirming that RAG flows retrieve relevant information and finding hallucinations with tools such as RAGAS. Engineers also monitor LLM performance in LangSmith, test chatbots and agents, and document defects with reproducible steps. Their everyday toolkit may include Python or JavaScript, Postman for API testing, and Playwright or Selenium for end-to-end AI application checks.

AI Testing vs Traditional Automation Testing (Playwright/Selenium)

AI testing is centered on checking probabilistic AI outputs, whereas traditional automation focuses on validating deterministic web and API behavior. AI testing evaluates AI results that can change between runs; traditional automation generally validates predictable 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. Available salary figures are estimates and may differ according to role, skills, experience, location and employer.

Course Overview

This AI Testing program is a 1.5-month live online course delivered through around 35–40 interactive sessions and approximately 60+ hours of guided learning. It is divided into 13 modules that move from Generative AI basics to prompt testing, LLM validation, hallucination detection, RAG testing, vector database evaluation, RAGAS, LangSmith, chatbot assessment, agentic AI testing, MCP testing, AI security review, and AI testing automation. Each module includes hands-on practice with real AI tools, and the course concludes with 5 guided projects: Chatbot Testing, RAG Testing, Hallucination Detection, RAGAS Dashboard, and AI Agent Testing. The training is delivered live online for Noida learners and students across the country. This live online AI Testing course runs for 1.5 months, with around 35–40 interactive sessions and approximately 60+ hours of guided learning. The 13 modules move from Generative AI fundamentals through prompt and LLM evaluation, hallucination detection, RAG and vector database testing, RAGAS, LangSmith, chatbot and agent testing, MCP, AI security and automation. Each module has practical exercises using real tools, and the course finishes with five guided projects: Chatbot Testing, RAG Testing, Hallucination Detection, RAGAS Dashboard and AI Agent Testing. Noida learners and students nationwide can join online.

Who should join this course:

  • QA engineers upskilling into AI testing from traditional QA roles. QA engineers moving from traditional quality assurance into AI testing.
  • Automation testers and SDETs wanting to add AI/LLM testing skills to their toolkit. Automation testers and SDETs aiming to broaden their toolkit with AI and LLM testing.
  • Manual, Selenium, Playwright and API testers looking to specialize in AI QA. Manual, Selenium, Playwright and API testers looking to specialize in AI quality assurance.
  • Developers interested in understanding AI testing practices and QA for AI systems. Developers interested in learning how AI products are tested and quality-checked.
  • Tech leads evaluating AI testing practices and frameworks for their teams. Tech leads assessing AI testing approaches 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. Eligibility: Some QA or testing background is helpful, but not essential. Coding experience is recommended for scripting and automation modules. Practical sessions require a laptop with 8GB RAM and a reliable internet connection.

Upcoming AI Testing Course Batches for Noida Learners

Pick a batch that matches your routine. Our live online sessions follow IST timings, and you can book a free demo class before enrolling. We offer weekday and weekend batches tailored for both working professionals and students, with flexible scheduling and practical, hands-on instruction. Choose a class schedule that fits your day. Sessions are live online in IST, and you can book a free demo before enrolling. Weekday and weekend batches suit both students and working professionals, with flexible timing and practical instruction.

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. Seats are limited, with availability refreshed every day. All times are in IST.

Curriculum for AI Testing Course in Noida

AI Testing Course Syllabus in Noida

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. The curriculum contains 13 modules and an estimated 60+ hours of instruction. Topics follow a practical AI testing path: GenAI foundations, prompt/LLM and hallucination checks, RAG and vector database validation, RAGAS and LangSmith, chatbot, agent and MCP testing, AI security, and test automation. Every module includes practical exercises with real tools, and learners finish with five 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 Noida

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. Complete all 13 modules, assignments and five guided projects to receive the Uncodemy AI Testing Program Certificate. It records the program name, length, tools covered and completion date. The certificate is awarded after the required coursework and assessment, documenting completion of the 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. The certificate is presented alongside the practical work completed during the course. Assignments and projects use curriculum tools such as ChatGPT, Gemini, Claude, RAGAS, LangSmith, FAISS/Chroma/Pinecone, Playwright, Selenium, Postman, Python/JS, LangChain and MCP. Five guided projects give learners a chance to apply the concepts in practice.

Key Benefits of Our AI Testing Certification:

  • Program Completion :Provides a record of successful completion of the AI Testing program. Program Completion :Records completion of the AI Testing program.
  • Practical Project Portfolio :The training includes 5 guided projects using real AI testing tools. Practical Project Portfolio :Offers five guided projects using real AI testing tools.
  • Industry-Relevant Skills :Covers LLM, RAG, chatbot, agentic AI, MCP and AI security testing. Industry-Relevant Skills :Explores 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. Project portfolio review:We help shape your five guided projects into a portfolio you can confidently discuss in interviews.

Resume & LinkedIn:We build your resume around AI testing keywords and measurable outcomes, and align your LinkedIn profile to match. Resume & LinkedIn:We emphasize AI testing keywords and measurable results on your resume and bring your LinkedIn profile into alignment.

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

Mock interviews:Sessions with industry trainers, followed by written feedback on what to fix. Mock interviews:Practise with industry trainers and get written feedback on areas to strengthen.

Opportunity sharing:Relevant openings from our hiring network of 850+ companies are shared with you, with support through the application and interview process. Opportunity sharing:We share suitable vacancies from our 850+ company network and guide you through applications and interviews.

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. Continued support:Guidance continues after the program for learners who remain engaged, but it is not a job promise; employers make hiring decisions.

Instructors

The people who actually teach this course

Uncodemy separates teaching from independent academic review. Trainers lead the live classes, while domain reviewers check that the syllabus remains accurate and relevant without teaching the batch. Mr. Upendra Kumar Tiwari reviews the technical content for this Data Science program, adding a separate quality check alongside classroom delivery.

The Delhi classroom batches are taught by the same faculty who support the Noida and online formats. Prospective learners may request to observe part of a live session before making a decision.

Trainer and reviewer names, areas of expertise and professional backgrounds are shared openly by Uncodemy, so learners can review the people connected with the course before enrolling.

Enroll in Our AI Testing Course for Noida Learners Today!

Enroll in Uncodemy's AI Testing Course for Noida 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. Join Uncodemy's AI Testing course for Noida learners. Build practical skills through live instructor-led classes, assignments, projects and career preparation. Noida's technology sector includes software services, product companies, fintech and SaaS businesses. As organizations add customer-service chatbots, RAG-based knowledge assistants, document-processing pipelines and AI agents, they need testers who can assess prompts, detect hallucinations, validate RAG workflows and review AI security. Product firms, global capability centres and consulting organizations are also integrating Generative AI into their platforms. Across finance, manufacturing, healthcare, education and e-commerce, QA professionals must evaluate variable AI results as well as predictable software behaviour. AI test engineering is an emerging QA specialty, and candidates who combine automation experience with AI testing skills can be well positioned for these roles.

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

Noida 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 Noida 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. The course maps to roles such as AI Test Engineer, LLM QA Engineer, Prompt/RAG Tester, AI-focused Automation Tester, AI Agent QA Specialist and AI Security Tester. Each role checks AI systems for accuracy, reliability and security, with different tools and components in focus.
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. Many graduates start as AI Test Engineers, LLM QA Engineers or AI-focused Automation Testers. After two to four years of experience and deeper knowledge of a specific AI component or testing area, they may progress into other roles.

AI Testing Salary in Noida — Experience-wise+

Salary insights for AI Testing roles are being compiled as this is an emerging specialization. Salaries in Noida 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 information for AI Testing jobs is still being gathered because the specialization is new. Pay in Noida depends on experience, industry and the strength of your AI testing skills; people with the same title may earn quite different amounts. Contact a counsellor for current market information or visit the 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 Noida+

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 Noida specifically, AI testing demand is emerging in: Uncodemy's network includes more than 850 companies across India, from large enterprises and mid-sized firms to fast-growing startups. Learners can encounter a variety of hiring processes and interview formats. In Noida, demand for AI testing is starting to develop 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. Each industry prioritizes different skills. As you approach your job search, consider tailoring portfolio projects to the sectors that interest you most.

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. AI testing capability is built in stages, not through one class alone. Skipping foundational steps may leave gaps that become apparent in interviews or at work.
  • 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. Typical timeline: A few focused hours of study on most days can help you work toward interview readiness in 1.5 months; infrequent study may take longer.

How This Course Compares to Other Testing Courses in Noida+

Noida 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. Noida's training choices range from brief weekend workshops to multi-month bootcamps, with a wide spread in fees. The comparison below is here to help you assess which option fits your goals.
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. This short course specializes in AI testing rather than offering a full QA bootcamp. If you are new to testing, you may want to first learn automation fundamentals through Playwright Automation Testing.

Where we are not the cheapest option: Shorter self-paced courses generally cost less. For a quick refresher instead of a larger career transition, a shorter program could suit you better.

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 Noida 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. AI testing methods change quickly as new LLM versions, RAG approaches and security risks appear. Live online delivery allows Uncodemy to revise the curriculum and bring in current tools, while giving learners nationwide access to specialist instructors. Professionals in Noida can join without commuting, and learners in other cities get the same instructor-led experience. Sessions are recorded for revision, and questions are answered 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 Noida?▼

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. The program lasts 1.5 months, with an indicative 60+ learning hours across about 35–40 live sessions. Both weekday and weekend batches are available.

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

This course is delivered live online nationwide, including for Noida 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. This program is taught live online throughout India, including to learners in Noida. AI Testing classroom batches are not available at present, though Uncodemy has physical centres in Delhi and Noida for other classroom 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. Learners use 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. Yes. Hallucination testing is covered in Module 4, and RAG testing in Module 5. Both include practical exercises with 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. The five projects are Chatbot Testing, RAG Testing, Hallucination Detection, RAGAS Dashboard and AI Agent Testing. You can add them to a portfolio for interviews.

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

All ~35–40 sessions are live and instructor-led, with recordings available afterwards for revision. Each of the approximately 35–40 sessions is live and instructor-led, with recordings available for later review.

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. The fee is ₹12,500 plus 18% GST, for a total of ₹14,750. It covers sessions, course materials, projects, certification and career assistance, with no added 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. EMI is available at ₹5,000 monthly for three months. The exact amount, duration and eligibility depend on the payment or financing option; 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. Yes. Join a demo to experience the class format, meet the instructor and review the curriculum before deciding. Contact us to arrange a session.

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. Support includes resume development, LinkedIn updates, portfolio review, interview preparation, mock interviews and sharing opportunities from our 850+ company network. Employment is not guaranteed; hiring decisions remain 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. The course is intended for QA Engineers, Automation Testers, SDETs, Manual/Selenium/Playwright/API Testers, Developers and Tech Leads who want to add AI testing to their expertise.

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. Because AI Testing is a developing specialty, salary information is still being compiled. Contact a counsellor for recent market details or view 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. Relevant roles include AI Test Engineer, LLM QA Engineer, Prompt/RAG Tester, AI-focused Automation Tester, 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. Basic QA or testing experience is helpful but not essential. Coding experience is recommended for scripting and automation topics. A laptop with 8GB RAM and a stable internet connection 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. Figures are drawn from Uncodemy records and public review platforms; ratings and counts may change. Placement and salary outcomes depend on learner skills, experience, location, employer and market conditions. Career support is not a guarantee of employment or a particular salary.

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. No. This is an independent Uncodemy certificate, not affiliated with or endorsed by OpenAI, Google, Anthropic or any other AI provider whose tools, including ChatGPT, Gemini and Claude, are taught in the 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
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