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Read More →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.
Learn from 8+ years experienced professionals
Build real Playwright test suites, not just theory
Get lifetime access to recorded sessions & materials
Resume Building, Mock Interviews & Job Support
Certificate of Completion from Uncodemy
Weekday & Weekend Online & Offline
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.
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 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.
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:
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.
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.
| 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 |
| 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.
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 | 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 | |
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.
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_2.webp)
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ChatGPT
Gemini
Claude
RAGAS
LangSmith
FAISS/Chroma/Pinecone
Playwright
Selenium
Postman
Python/JS
LangChain
MCP
Uncodemy is a career-focused IT training institute operated by Uncodemy Edutech Pvt. Ltd., with training centres in Delhi and Noida, and live online classes reaching learners across India. This AI Testing program is delivered fully live online, making it accessible to learners in Noida and nationwide. Uncodemy Edutech Pvt. Ltd. operates Uncodemy, an IT training institute centered on career development. It has locations in Delhi and Noida and also teaches learners across India online. The AI Testing course is delivered completely live online and is available to students in Noida and elsewhere.
In this AI Testing program, learners work with ChatGPT, Gemini, Claude, RAGAS, LangSmith, FAISS/Chroma/Pinecone, Playwright, Selenium, Postman, Python/JS, LangChain and MCP. The training covers how AI systems are tested in production — evaluating prompts, detecting hallucinations, testing RAG pipelines and securing AI applications. You can read the full module-by-module curriculum before you enrol. Throughout the course, learners use ChatGPT, Gemini, Claude, RAGAS, LangSmith, FAISS/Chroma/Pinecone, Playwright, Selenium, Postman, Python/JS, LangChain and MCP. They study production AI testing, including prompt evaluation, hallucination detection, RAG pipeline checks and application security. Review the complete module-by-module curriculum before enrolling.
Alongside training, Uncodemy provides instructor-led sessions, practical assignments, project-based learning, interview preparation and career support. What that support includes — and what it does not — is set out in our career support policy, along with the eligibility conditions published before enrolment rather than after payment. The course pairs instructor-led classes with practical assignments, projects, interview preparation and career guidance. Our career support policy explains the scope and limits of that assistance, and the eligibility requirements are available before enrolment.
If you are still deciding on a direction, Uncodemy also runs Software Testing, Still choosing a direction? Uncodemy also offers Software Testing, Manual Testing, Automation Testing courses for Noida and Maharashtra learners. Automation Testing courses for learners in Noida and Maharashtra.
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.
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.
Senior Data Science Trainer
Expertise15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.
Data Analytics & AI Trainer
ExpertisePython · SQL · Machine Learning · Tableau · Artificial Intelligence · Deep Learning · Power BI · MLOps
8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.
Data Analytics & AI Trainer
ExpertisePython · ML · DL · NLP · Power BI · Tableau · SPSS · SAS · MS-Excel · SQL · HTML · CSS
7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
AI agent chat/voice bot, AI-driven data analysis, a sales-forecasting ML model, NPS data model evaluation, and a face-recognition model for biometrics.
Data Analytics Trainer
ExpertisePython · SQL · Excel · Power BI · Tableau · ML · DL · NLP · Time Series · IoT Devices · Prompt Engineering · Chatbots
5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.
Data Analytics Trainer
ExpertiseAdvanced Excel · SQL · Power BI · Tableau · Python · Data Visualisation · Statistics
Trainer for the analytics and business intelligence track at Uncodemy, working with learners on Excel, SQL and BI tooling from first principles to interview-ready projects.
Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.
Data Analytics Trainer
Expertise
Data Analytics Trainer
Expertise
MD & CEO
ExpertiseFounder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.
CEO & Founder
ExpertiseCEO & Founder of GvCloud Secure and Uncodemy with 14+ years of professional experience building scalable web, mobile and AI-driven solutions for clients across India, USA, UK, Canada, Australia and Singapore.
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
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.
| 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 |
| 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 |
| 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 |
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
This is where Uncodemy actually trains people — not a partner space, not a satellite office. The Data Analytics program runs from B 14-15, Udhyog Marg, Sector 1, Noida, a 5-minute walk from Noida Sector-15 Metro Station, with the same course also streamed live online for anyone who can't make it in person. Every trainer on this page teaches from this address. Whether you sit in the room or join online, you're in the same batch, taught by the same people, working through the same curriculum.
4.7/5 (500+)
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4.7/5 (500+)
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