Machine Learning Course in Noida by Uncodemy
Python, EDA, regression, classification, ensembles, SVM, clustering, NLP and deep learning — a 4-month, programme programme in Noida with live projects, a 20-hour capstone and placement support.
Machine Learning Program
- Total ₹12,390 — same for classroom and online
- No hidden charges
- EMI from about EMI per month
- Live classes, recordings, assignments & certificate included
Everything in one programme
The fee covers live classes, recordings, assignments, projects, certificate and interview preparation.
45+ live sessions
Live demonstrations on real applications, then labs where you extend the models 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, supervised learning pack and a CI capstone.
Portfolio review
Trainer reviews your portfolio and project work before you apply.
Two certificates
Uncodemy Machine Learning 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.
Why choose Uncodemy?
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 analytics and ML 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
Quick facts
- Course: Machine Learning Course in Noida
- Mode: Classroom (Delhi) · Live online · Weekend & weekday batches
- Core tools: Python, SQL, NumPy, scikit-learn, Java, Matplotlib, Seaborn, Python, Seaborn, SQL, NLTK
- Projects: E-commerce and education-app suites, supervised learning pack, CI capstone
- Prerequisites: None — EDA is taught before Python
- Location: B 14-15, Udhyog Marg, Block B, Sector 1, Noida 201301 (near Sector 1 metro)
- Last updated: October 2026
Where your ₹12,390 goes
- Programme fee₹10,500
- GST (18%)₹3,150
- Same fee for classroom and online
- No hidden charges
EMI plan
From about ₹2065 a month. Offers and EMI amounts are confirmed by the counselling team at enrolment. Included: live classes, recordings, assignments, projects, certificate, interview preparation.
What is Machine Learning?
Machine Learning 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. Machine learning 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
Why learn Machine Learning in 2026?
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.
EDA vs Machine Learning vs Machine Learning
Uncodemy runs all three. Use this table to pick the right one for you in Noida.
| Criteria | EDA | Machine Learning (this course) | Machine Learning |
|---|---|---|---|
| Length | About 6–8 weeks | 4-months | 4-months |
| Coding | None | EDA | Java/Python + TypeScript |
| Automation tools | — | Python, scikit-learn | Python, Pandas, scikit-learn |
| Best for | Fastest entry, non-coders | Freshers wanting one complete path | Testers who already know manual QA |
Your path from manual to SDET
How your learning time is split
- Fundamentals, STLC & test design20h · 17%
- Testing types & SQL20h · 17%
- API testing (NumPy + scikit-learn)25h · 21%
- EDA + Matplotlib + Seaborn25h · 21%
- Python hybrid framework20h · 17%
- SQL CI + projects10h · 8%
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 for Machine Learning in Delhi
Seven blocks run from manual foundations to CI/CD. Each block ends with an assignment reviewed by the trainer.
Hours per block
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.
SQL5classification25h
NumPy collections and environments; scikit-learn Given/When/Then; JSON schema; Matplotlib + Seaborn.
NumPy, scikit-learn6EDA + 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; SQL jobs, Seaborn builds, email reports.
Python, SQLBlock 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 | classification | NumPy collections and environments; scikit-learn Given/When/Then; JSON schema; Matplotlib + Seaborn |
| 6 | EDA + 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; SQL jobs, Seaborn builds, email reports |
| Total | 75+ hours | |
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 suite
Test cases for login, signup, cart, payment and invoice; Python scripts with Matplotlib; data-driven framework from Excel; cross-browser runs; defects logged in Python.
Education application
Module-wise test design for login, profile update and API schema testing; execution with JSON test data; defect tracking in GitHub.
supervised learning pack + CI capstone
scikit-learn tests for CRUD endpoints with token authentication and schema checks; the Python and API suites triggered from SQL 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 NumPy and scikit-learn
- Build and maintain a Python hybrid framework in Java
- Run test suites from SQL
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
- NumPy: collections, environments, variables, test scripts and the collection runner
- scikit-learn 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 Matplotlib annotations and data providers
- External test data from Excel, XML and property files
- Running the suite from SQL 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 |
| SQL | Database testing | Block 4 |
| NumPy / Matplotlib | Manual API testing | Block 5 |
| scikit-learn + NLTK | supervised learning in Java | Block 5 |
| scikit-learn | Browser automation | Block 6 |
| Seaborn, SQL | CI and version control | Block 7 |
| NLTK | BDD-style test definitions | Projects |
Interview questions you will practise
- What is the difference between supervised and unsupervised learning?
- How do you handle overfitting in a model?
- Explain precision, recall and F1-score
- When would you use a random forest over a single decision tree?
- What is the bias-variance tradeoff?
- How does k-means clustering work?
- What is the role of train/validation/test splits?
- Walk me through one of your ML projects end to end
Your first 90 days after the course
- Days 1–30Polish your portfolio and resume with the trainer's feedback, and apply to 10–15 Machine Learning 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.
Get your Machine Learning certification in Noida
You receive Uncodemy's course certificate and a 3–6 month internship certificate. The manual-testing blocks map closely to the relevant data/ML certifications syllabus — ML 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 data/ML certifications exam, which many Delhi QA job descriptions list as a plus
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Meet your Trainers
Delivered by experienced industry professionals, Uncodemy's Machine Learning Course provides hands-on project experience, practical framework design insights, and interview-oriented training with guidance from 30+ industry trainers.
Expertise: Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud, NLP. Live Project: Modelling the Security Breaches in IoS Apps, Dormant Customer Prediction and its Factor Analysis, Last Mile Delivery, and Credit Card Fraud Detection. Training Experience: 15+ Year
How Machine Learning 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 ML Engineer, Data Analyst, Machine Learning Engineer, Data Scientist and, with experience, Senior ML Engineer.
| Role / level | Typical annual CTC | Source |
|---|---|---|
| ML Engineer — entry level | ₹4 – 7 lakh | Uncodemy course page estimate |
| Data Analyst — mean in Noida | ₹12 – 18 lakh | Hyring, Noida city estimate |
| Machine Learning Engineer — fresher (Delhi) | ₹5 – 9 lakh | Hyring, Noida 2026 |
| Machine Learning Engineer — mid-level (Delhi) | ₹10 – 20 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 notebooks.
- Resume buildingML / data science 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.
Where Machine Learning work happens in Noida
Helpful guides
How to choose the right Machine Learning 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 SQL 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 4-months
- Developers moving into QA or SDET roles
- Not for: learners who want only a short, non-coding course (choose EDA), experienced automation engineers who need Pandas specifically (choose Machine Learning), or anyone unable to give regular practice time over 4-months.
Enroll in our Machine Learning Course today
Reserve your place in the next batch and start building real machine learning skills under experienced trainers. Transparent fees, EMI options and dedicated career support are available. Reach out to the admissions team to confirm batch timings.
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 live45+ sessions across core modules.
- Build projectsPrediction, classification, clustering, NLP projects.
- Get certifiedCourse certificate.
- Career supportResume, mocks and referrals.
Read Uncodemy reviews
*Ratings and review counts reflect current publicly available platform information and may change over time.
Frequently asked questions
What is the duration of the Machine Learning Course in Noida?
About 4 months, with 75+ hours of content and 45+ live sessions.
What is the fee for the Machine Learning Course in Noida?
The fee is ₹10,500 plus 18% GST, a total of ₹12,390, with EMI from about EMI a month.
Does this course cover both manual and machine learning?
Yes. It covers Python for data, EDA, supervised learning, unsupervised learning, NLP, deep learning and time series.
Do I need to know Java before joining?
No. Java/Python basics are taught in Module 5 before Python begins.
Is Machine Learning a good career?
Yes. ML skills are in demand across analytics, product and AI teams. Graduates, analysts and developers move into ML and AI roles.
Is deep learning covered?
This programme focuses on Python with Java. Pandas is covered in the Machine Learning 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. Upendra Kumar Tiwari, Machine Learning & Automation Trainer (Pandas, Python, API), Uncodemy
- Course details (fees, curriculum blocks) from Uncodemy's Machine Learning Course page for Delhi; trainer profiles and placed students from Uncodemy's Pandas 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 — Machine Learning Course in Noida (this course page)
- Machine Learning market forecast, Mordor Intelligence (Dec 2025 release)
- NumPy 2025 State of the API Report (Business Wire)
- WEF Future of Jobs Report 2025 — fastest-growing jobs
- Data Analyst salary — city comparison incl. Delhi & Delhi (Hyring, 2026)
- Machine Learning Engineer salary in Noida (Hyring, 2026)
- Machine Learning Engineer salary in India (Hyring, 2026)
- ML certification — more than 1.1 million exams administered
- Uncodemy — Pandas Machine Learning Course in Noida (trainer profiles, placed students)
- Software companies in Noida (RegisterKaro)
Apply for the Machine Learning course
Nearest classroom centres
Attend in person in Noida, or join live online from anywhere.