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Verified by Mr. Irshad Khan · Reviewed Oct 2026
LLM Engineering Course in Noida by Uncodemy
Transformers, prompt engineering, LLM APIs, embeddings, RAG, fine-tuning and agents — a 5–6 month, 13-module programme in Noida with live projects, a 20-hour capstone and placement support.
4.7/5Google · 500+ Reviews
4.7/5Justdial · 500+ Reviews
5/5Sulekha · 30+ Reviews
4/5MouthShut · 130+ Reviews
5/5Trustindex · 54+ Reviews
Expert Trainers30+ industry trainers & mentors
Hands-on projects & case studiesE-commerce, education app, API pack
Recordings of every sessionRevise any time
Career & placement assistanceResume, mocks, referrals
Certified courseCourse + internship certificate
Classroom or live onlineWeekday & weekend batches
Special Offer
LLM Engineering Program
₹17,500 + GST
- Total ₹20,650 — same for classroom and online
- No hidden charges
- EMI from about ₹4,032 per month
- Live classes, recordings, assignments & certificate included
Fill Your Details
What's Included
Everything in one programme
The fee covers live classes, recordings, assignments, projects, certificate and interview preparation.
100+ live sessions
Live demonstrations on real applications, then labs where you extend the pipelines yourself.
Session recordings
Missed a class because of work? Catch up before the next lab.
Graded assignments
Submitted weekly with written feedback on the things a senior colleague would check in a real review.
Live projects
E-commerce, education app, RAG pack and a CI capstone.
Portfolio review
Trainer reviews your portfolio and project work before you apply.
Two certificates
Uncodemy LLM Engineering Program Certificate, verifiable at certificate.uncodemy.com.
Career support
Resume building, grooming, mock interviews and MNC interview calls.
Catch-up batches
Rejoin a module in a later batch at no extra cost, subject to seats.
Institute
Why choose Uncodemy?
14+
Years of training excellence850+
Companies in our hiring network54,000+
Learners trained200+
Corporate associations30+
Industry trainers & mentors100%
Practical, project-led trainingLive online classesWeekend & weekday batchesLive coding on real applicationsTransparent feesEMI optionsDedicated support
Why learn in Noida?
Delhi's large IT services campuses and product companies hire testers in batches, and their job descriptions increasingly ask for 'manual + API + Python' in one profile. A combined course matches that demand directly. Training in Noida keeps you close to the Sector 62, Sector 125-144 and Expressway employers that run GenAI hiring drives, and gives you a batch network that shares openings as they appear. Industry directories list more than a thousand software companies in Noida, and Sector 62 alone hosts delivery centres of firms such as TCS, Accenture, Tech Mahindra and Wipro. Uncodemy's Delhi centre is at B 14-15, Udhyog Marg, Block B, Sector 1, Noida 201301, a short walk from the Delhi Sector 1 metro station on the Blue Line.
Program details
Learning160 hours
Duration5–6 months
Live training100+ live sessions
Curriculum13 modules · 12+ tools
Fee₹17,500 + 18% GST = ₹20,650
EMIFrom about ₹4,032/month
TracksManual → API → Java → Python → CI/CD
Career supportResume, grooming, mock interviews
Quick facts
- Course: LLM Engineering Course in Noida
- Mode: Classroom (Delhi) · Live online · Weekend & weekday batches
- Core tools: Python, SQL, OpenAI / Gemini APIs, RAG pipelines, Java, LangSmith, FAISS, Python, Hugging Face, Docker, LoRA
- Projects: E-commerce and education-app suites, RAG pack, CI capstone
- Prerequisites: None — Transformers is taught before Python
- Location: B 14-15, Udhyog Marg, Block B, Sector 1, Noida 201301 (near Sector 1 metro)
- Last updated: October 2026
Fee Breakdown
Where your ₹20,650 goes
₹20,650total incl. GST
- Programme fee₹17,500
- GST (18%)₹3,150
- Same fee for classroom and online
- No hidden charges
EMI plan
₹4,032₹4,032₹4,032₹4,032₹4,032₹4,032
From about ₹4,032 a month. Offers and EMI amounts are confirmed by the counselling team at enrolment. Included: live classes, recordings, assignments, projects, certificate, interview preparation.
Placements
Placed students from Uncodemy's LLM Engineering programmes
These success stories highlight the career prospects of Uncodemy's LLM Engineering Course, featuring freshers launching their careers in AI and LLM development, alongside experienced professionals upgrading their skills and securing opportunities with leading IT companies.
Abhinav KhatriLLM Engineer · Anaptyss
4.2 LPAAmit GuptaLLM Engineer · PwC
4.0 LPARaghav ShettyLLM Engineer · Webfries
4.8 LPAAyush AsthanaSenior Test Specialist · Cognizant
9 LPADinesh KaushikSoftware Tester · CoolBoots
3 LPAHigher packages usually reflect prior experience. Placement assistance means preparation and referrals; offers depend on your performance in company interviews. See more at uncodemy.com/placements.
Overview
What is LLM Engineering?
LLM Engineering is the discipline of finding out whether software does what it should — and what it does when things go wrong. It covers everything from checking a requirement for gaps, to designing and running test cases, to automating regression suites that run every night.
Testing has two halves. Manual testing relies on human judgement to explore features, find usability issues and validate business rules. LLM engineering turns repeatable checks into code so they can run on every build. Teams need both, and the most employable testers can do both. This programme is the complete path: it starts where a fresher starts and ends where a junior SDET is expected to be — able to design tests, report defects, query databases, test APIs and maintain a Python framework in CI.
Key terms you will meet
Black-box testingTesting from requirements and behaviour
Hybrid frameworkData-driven + keyword + Page Object
RAG pipelinesJava library for REST API tests
LangSmithJava testing framework
Defect leakageBugs that escape testing
DesignTest cases from requirements
ExecuteManual + API + Python
ReportDefects in Python
AutomateHybrid framework
CI/CDDocker pipeline
Why learn LLM Engineering in 2026?
$48B
Global LLM Engineering market in 2025, heading to roughly $94B by 2030 (Mordor Intelligence, December 2025)$35B
LLM engineering market in 2025, projected to reach about $77B by 2030 — the growth is concentrated here82%
of organisations follow some form of API-first approach, so API testing is a core QA skill, not a specialism (OpenAI / Gemini APIs 2025 State of the API Report)Top 5
Software and applications developers listed among the fastest-growing roles worldwide (WEF Future of Jobs 2025)A tester who can design tests, test APIs and maintain automation is hired faster and paid more than one who can do only one of those things.
Courses Compared
Prompt Engineering vs LLM Engineering vs LLM Engineering
Uncodemy runs all three. Use this table to pick the right one for you in Noida.
| Criteria | Prompt Engineering | LLM Engineering (this course) | LLM Engineering |
|---|---|---|---|
| Length | About 6–8 weeks | 5–6 months | 5–6 months |
| Coding | None | Transformers | Java/Python + TypeScript |
| Automation tools | — | Python, RAG pipelines | Python, Hugging Face, RAG pipelines |
| Best for | Fastest entry, non-coders | Freshers wanting one complete path | Testers who already know manual QA |
Learning Roadmap
Your path from manual to SDET
Month 1Fundamentals, STLC, test design techniques, testing types
Month 2SQL database testing, Agile and Python, OpenAI / Gemini APIs
Month 3Transformers, LangSmith, FAISS, RAG pipelines
Months 3–4Python hybrid framework, Docker CI, projects and interview preparation
Skill Mix
How your learning time is split
120+hours
- Fundamentals, STLC & test design20h · 17%
- Testing types & SQL20h · 17%
- API testing (OpenAI / Gemini APIs + RAG pipelines)25h · 21%
- Transformers + LangSmith + FAISS25h · 21%
- Python hybrid framework20h · 17%
- Docker CI + projects10h · 8%
Batches
Pick the batch that fits your schedule
Not sure which batch fits? Book a free video counselling session or a demo class through the contact page. Exact dates and IST timings are shared by the counselling team.
Weekday classroom (Delhi)
Best for: freshers and full-time learners. In-person labs and faster doubt clearing.
Weekend batch
Best for: working professionals. Saturday–Sunday sessions plus recordings.
Live online
Best for: learners outside Delhi/NCR. Same trainer and curriculum, live doubt sessions.
Corporate training
Best for: teams upskilling together. Custom scope — see Corporate Training.
How a typical week runs
- Live demoTwo or three sessions introduce a topic with live demonstrations on real applications; you work along.
- Lab sessionExtend the work independently while the trainer reviews your approach.
- AssignmentSubmit at the end of the week.
- Written feedbackOn the same things a senior colleague would check in a real review.
Recordings stay available, so if you miss a class because of work or college you can catch up before the next lab. Doubts are cleared in class and through the batch group; learners who fall behind can rejoin the same module in a later batch, subject to seat availability.
Curriculum
Curriculum for LLM Engineering in Delhi
Seven blocks run from manual foundations to CI/CD. Each block ends with an assignment reviewed by the trainer.
Hours per block
B1 · Fundamentals & STLC15h
B2 · Test Design15h
B3 · Testing Types15h
B4 · SQL & DB15h
B5 · Fine-tuning25h
B6 · Transformers + Python25h
B7 · Agile, Python, CI10h
1Fundamentals, SDLC & STLC15h
Testing principles, SDLC models, QA vs QC, test planning, bug life cycle, severity vs priority.
SDLC, STLC2Test Design Techniques15h
BVA, equivalence partitioning, decision tables, state transition, risk-based testing.
Test Design3Testing Types15h
Smoke, sanity, regression, retesting, system, UAT, performance, security, compatibility.
Testing Types4SQL & Database Testing15h
DDL/DML/TCL, joins, aggregate functions, constraints, subqueries, DB test plans.
SQL5Fine-tuning25h
OpenAI / Gemini APIs collections and environments; RAG pipelines Given/When/Then; JSON schema; LangSmith + FAISS.
OpenAI / Gemini APIs, RAG pipelines6Transformers + Python Automation25h
OOP, collections, exceptions; WebDriver locators, waits, alerts, windows; POM and hybrid framework.
Java, Python7Agile, Python & CI10h
Scrum events and roles; Python workflows and reports; Docker jobs, FAISS builds, email reports.
Python, DockerBlock summary — Block | Key topics
| # | Block | Key topics |
|---|---|---|
| 1 | Fundamentals, SDLC & STLC | Testing principles, SDLC models, QA vs QC, test planning, bug life cycle, severity vs priority |
| 2 | Test Design Techniques | BVA, equivalence partitioning, decision tables, state transition, risk-based testing |
| 3 | Testing Types | Smoke, sanity, regression, retesting, system, UAT, performance, security, compatibility |
| 4 | SQL & Database Testing | DDL/DML/TCL, joins, aggregate functions, constraints, subqueries, DB test plans |
| 5 | Fine-tuning | OpenAI / Gemini APIs collections and environments; RAG pipelines Given/When/Then; JSON schema; LangSmith + FAISS |
| 6 | Transformers + Python Automation | OOP, collections, exceptions; WebDriver locators, waits, alerts, windows; POM and hybrid framework |
| 7 | Agile, Python & CI | Scrum events and roles; Python workflows and reports; Docker jobs, FAISS builds, email reports |
| Total | 160 hours | |
Project Work
Live projects you build along the way
Each project goes into your own portfolio, so recruiters see real work, not just a certificate.
E-commerce
E-commerce suite
Test cases for login, signup, cart, payment and invoice; Python scripts with LangSmith; data-driven framework from Excel; cross-browser runs; defects logged in Python.
Education app
Education application
Module-wise test design for login, profile update and API schema testing; execution with JSON test data; defect tracking in GitHub.
API + CI
RAG pack + CI capstone
RAG pipelines tests for CRUD endpoints with token authentication and schema checks; the Python and API suites triggered from Docker with emailed reports.
Skills you will gain
- Plan and design tests using formal techniques
- Report and track defects in Python within Agile sprints
- Validate back-end data with SQL
- Test and automate REST APIs with OpenAI / Gemini APIs and RAG pipelines
- Build and maintain a Python hybrid framework in Java
- Run test suites from Docker
What a junior QA engineer actually does in a sprint
Recruiters in Noida ask scenario questions based on this cycle. The course walks you through it end to end.
- Sprint planning: read user stories, ask clarifying questions, estimate testing effort
- Test design: write scenarios and cases, decide which ones to automate
- Execution: test new features manually, run API checks and the automated regression suite
- Defect management: log, retest and close bugs in Python; join triage with developers
- Regression and sign-off: confirm nothing old broke, share test metrics, support release
- Retrospective: suggest one process or automation improvement for the next sprint
Deep dive — API testing block
- OpenAI / Gemini APIs: collections, environments, variables, test scripts and the collection runner
- RAG pipelines with BDD syntax: status, body and header assertions
- Extracting tokens and chaining authenticated requests
- Payload-driven tests with data from Excel; JSON schema validation
Deep dive — Python hybrid framework
- WebDriver setup, locators and synchronisation with implicit and explicit waits
- Page Object Model with LangSmith annotations and data providers
- External test data from Excel, XML and property files
- Running the suite from Docker and emailing reports to the team
Tools you will master
| Tool | Used for | Where in the course |
|---|---|---|
| Python | Defect tracking and Agile boards | Block 7 |
| Vector databases | Database testing | Block 4 |
| FAISS / Chroma / Pinecone | Manual API testing | Block 5 |
| LangSmith + Docker | RAG in Java | Block 5 |
| LangChain | Browser automation | Block 6 |
| Hugging Face, Docker | CI and version control | Block 7 |
| LoRA | BDD-style test definitions | Projects |
Interview questions you will practise
- What is the difference between prompting and fine-tuning?
- Explain how RAG works and when you would use it
- What are embeddings and why do they matter for semantic search?
- How would you evaluate the quality of an LLM application?
- What is LoRA fine-tuning and when is it preferable to full fine-tuning?
- How do AI agents use tool calling?
- How would you reduce cost and latency of an LLM application in production?
- Walk me through the architecture of your capstone project
Your first 90 days after the course
- Days 1–30Polish your portfolio and resume with the trainer's feedback, and apply to 10–15 LLM Engineering openings in Noida and NCR every week.
- Days 31–60Attend mock interviews, refine answers on the questions you found hardest, and add one more self-directed project that targets the companies you are interviewing with.
- Days 61–90Convert interviews into offers, compare them on learning and growth as well as pay, and keep practising — the first job is where your skills compound fastest.
Certification
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Get your LLM Engineering certification in Delhi
You receive Uncodemy's course certificate and a 3–6 month internship certificate. The manual-testing blocks map closely to the relevant AI certifications syllabus — AI certification reports more than 1.1 million Certified Tester exams worldwide — and the trainer guides learners who want to take it.
- Confirms programme completion and skills acquired
- Reflects practical project and framework experience
- Verifiable at certificate.uncodemy.com
- For an independent industry credential, the trainer guides interested learners toward the relevant AI certifications exam, which many Delhi QA job descriptions list as a plus
Student Project For LLM
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SecurityTest AI
AI-based security testing project designed to assist with analyzing potential security concerns and supporting automated testing workflows.
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SQLAgent Pro
Intelligent SQL assistant designed to work with natural-language requests and support users in querying and exploring structured data.
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ResumeGPT
LLM-powered resume assistant designed to analyze resume information, improve content, and help generate more relevant professional profiles.
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Credit Card Fraud Detection
Machine learning project focused on analyzing transaction data and identifying potentially fraudulent credit card transactions.
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Movie Recommendation System
Intelligent recommendation project that analyzes movie information and user preferences to generate relevant movie suggestions.
PythonPandasJupyterGitHub
Instructors
Meet your Trainers
Guided by experienced industry professionals, Uncodemy's LLM Engineering Course provides hands-on project experience, practical framework development insights, and interview-oriented training, backed by a network of 30+ industry trainers.
Mr. Upendra Kumar TiwariSenior Data Science Trainer
15+ 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.
Mr. Irshad KhanData Analytics & AI Trainer
Mr. Syed NajeebData Analytics & AI Trainer
Mr. Kunal AroraData Analytics Trainer
Ms. Rachna VermaData Analytics Trainer
Mr. AbhiData Analytics Trainer
Mr. AnshulData Analytics Trainer
Dr. Vijay K. GuptaMD & CEO
Mr. RahulData Analytics Trainer
Gangesh Kumar GaunrCEO & Founder
Careers & Salary
How LLM Engineering roles typically grow in Noida
Salaries depend on skills, company type and interview performance. The figures below come from public salary datasets and Uncodemy's own indicative ranges, so you can benchmark offers honestly. Target roles include LLM Engineer, GenAI Engineer, AI Application Engineer, ML Engineer and, with experience, Senior LLM Engineer.
Entry-levelLLM Engineer₹6 – 10 lakh
Noida medianGenAI Engineer₹18 – 25 lakh
FresherLLM Engineer₹8 – 14 lakh
Mid-levelLLM Engineer₹15 – 30 lakh
| Role / level | Typical annual CTC | Source |
|---|---|---|
| LLM Engineer — entry level | ₹6 – 10 lakh | Uncodemy course page estimate |
| GenAI Engineer — mean in Noida | ₹18 – 25 lakh | Hyring, Noida city estimate |
| LLM Engineer — fresher (Delhi) | ₹8 – 14 lakh | Hyring, Noida 2026 |
| LLM Engineer — mid-level (Delhi) | ₹15 – 30 lakh | Hyring, Noida 2026 |
City means include experienced testers; freshers typically start in the ₹3–6 lakh band. Salary figures are estimates, not a guarantee of placement or pay.
How placement support works
- Portfolio reviewTrainer reviews your portfolio projects and systems.
- Resume buildingLLM / GenAI engineer resume listing tools, frameworks and measurable outcomes.
- Technical mocksAPI, Java/TypeScript, framework design and scenario questions.
- Grooming & HRCommunication practice and salary negotiation basics, then referrals to hiring partners.
Noida Tech Map
Where LLM Engineering work happens in Noida
Sector 62IT services, product and consulting firms building GenAI solutions
Sectors 125–144 & ExpresswaySEZs and product companies running GenAI hiring drives
Uncodemy · Sector 1B 14-15, Udhyog Marg — a short walk from Delhi Sector 1 metro (Blue Line); reachable from Delhi, Ghaziabad, Indirapuram, Delhi Extension and Greater Delhi
Hiring nowNoida IT services campuses and product companies hire testers in batches — combined manual + API + Python profiles match their JDs directly
Guides
Helpful guides
How to choose the right LLM Engineering institute in Noida
- Does one programme cover manual, API and Python, with Java taught from scratch?
- Is there a hybrid framework project you can show on GitHub?
- Is Docker used hands-on in the projects?
- Can you attend a demo class with the actual trainer before paying?
- Are placement claims backed by named students and companies you can verify?
- Are fees, refund policy and batch timings shared in writing?
Who should join this course?
- Freshers (B.Tech, BCA, MCA, B.Sc) who want one programme that covers manual and automation
- Manual testers who want to add API testing, Java and Python
- Career switchers willing to learn basic Java over 5–6 months
- Developers moving into QA or SDET roles
- Not for: learners who want only a short, non-coding course (choose Prompt Engineering), experienced automation engineers who need Hugging Face specifically (choose LLM Engineering), or anyone unable to give regular practice time over 5–6 months.
LLM Engineering · Delhi
Enquire Now
Enroll in our LLM Engineering Course today
Reserve your place in the next batch and start building real LLM engineering skills under experienced trainers. Transparent fees, EMI options and dedicated career support are available. Reach out to the admissions team to confirm batch timings.
5–6 monthsProgramme duration
100+ sessionsLive training
13 modules160 hours
live projects + 20-hr capstoneenterprise capstone
Your Journey
From enquiry to career support
- EnquireFill the form or call a counsellor.
- Counselling & demoFree video counselling or a demo class with the trainer.
- Pick a batchWeekday, weekend or live online.
- Learn live100+ sessions across 13 modules.
- Build projectsRAG system, fine-tuned model, agent project.
- Get certifiedCourse certificate.
- Career supportResume, mocks and referrals.
Read Uncodemy reviews
Google 4.7/5 · 500+Justdial 4.7/5 · 500+Sulekha 5/5 · 30+MouthShut 4/5 · 130+Trustindex 5/5 · 54+Facebook 5/5
*Ratings and review counts reflect current publicly available platform information and may change over time.
FAQ
Frequently asked questions
What is the duration of the LLM Engineering Course in Noida?
5–6 months, with 160 hours of content and 100+ live sessions.
What is the fee for the LLM Engineering Course in Noida?
The fee is ₹17,500 plus 18% GST, a total of ₹20,650, with EMI from about ₹4,032 a month.
Does this course cover both manual and LLM engineering?
Yes. It covers transformers, prompt engineering, LLM APIs, embeddings, RAG, LoRA fine-tuning, AI agents, evaluation and deployment.
Do I need to know Java before joining?
No. Java/Python basics are taught in Module 5 before Python begins.
Is LLM Engineering a good career?
Yes. Companies need engineers who can make LLM apps accurate, safe and affordable — GenAI roles are among the fastest-growing.
Is RAG covered?
This programme focuses on Python with Java. Hugging Face is covered in the LLM Engineering Course in Noida.
Is the course available online?
Yes. Live online batches follow the same curriculum and trainer.
Will I get placement support?
Yes — portfolio review, resume, mock interviews and interview referrals. Final selection depends on your interviews.
Where is the Uncodemy Noida centre?
B 14-15, Udhyog Marg, Block B, Sector 1, Noida 201301, a short walk from the Delhi Sector 1 metro station on the Blue Line.
Why trust this page?
- Content reviewed and verified by: Mr. Irshad Khan, LLM Engineering & Automation Trainer (Hugging Face, Python, API), Uncodemy
- Course details (fees, curriculum blocks) from Uncodemy's LLM Engineering Course page for Delhi; trainer profiles and placed students from Uncodemy's Hugging Face course page, all checked by the trainer named above
- Market, salary and adoption figures from the third-party sources below, accessed October 2026. Salary figures are estimates and are not a guarantee of placement or pay.
- Last updated: October 2026
Sources
- Uncodemy — LLM Engineering Course in Noida (this course page)
- LLM Engineering market forecast, Mordor Intelligence (Dec 2025 release)
- OpenAI / Gemini APIs 2025 State of the API Report (Business Wire)
- WEF Future of Jobs Report 2025 — fastest-growing jobs
- GenAI Engineer salary — city comparison incl. Delhi & Delhi (Hyring, 2026)
- LLM Engineer salary in Noida (Hyring, 2026)
- LLM Engineer salary in India (Hyring, 2026)
- AI certification — more than 1.1 million exams administered
- Uncodemy — Hugging Face LLM Engineering Course in Noida (trainer profiles, placed students)
- Software companies in Noida (RegisterKaro)
Apply for the LLM Engineering course
Nearest classroom centres
Attend in person in Noida, or join live online from anywhere.
Noida CentreB, 14-15, Udhyog Marg, Block B, Sector 1, Noida, Uttar Pradesh 201301 · View on map
Noida Centre2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Rd, next to DSEU Ambedkar College, Sector 1, Shakarpur Extension, Delhi 110092 · View on map