Next batch starts Sat 5 Dec

Go from Python basics to deployed machine learning models.

Four months, 96 hours live, two courses: Foundations and Advanced.Taught by Pawan Singh, AI specialist, 10+ years in the industry.

Guaranteed placement assistance through our network of 100+ hiring partners.

Talk to a counsellor Get the curriculum on WhatsApp
Pawan Singh, lead trainer for the AI and ML Engineer track
Pawan SinghLead trainer, AI specialist, 10+ years

The tools you work in every weekend, the ones ML job posts ask for

PythonNumPyPandasscikit-learnJupyterTensorFlowPyTorchMatplotlibGoogle Colab
OpenAI APILangChainHugging FaceFastAPIGitGitHubVS CodeDocker
What you build

Will this customer buy?Train a model that answers it.

Data in, features out, a model trained and checked, then an app that gives the answer.It is the loop you repeat in every project of the track.

predict_buyer.ipynb Sample data
1import pandas as pd
2df = pd.read_csv("customers.csv")
3df.head()
Out [1] · 2,000 rows × 5 columns
agevisitscart_valuedays_sincebought
2972,400121
412650880
3451,890211
2313201400
Bought712The "yes" rows, 36% of customers
Did not buy1,288What the model must learn to tell apart
4X = df[["age", "visits", "cart_value", "days_since"]]
5y = df["bought"]
6X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)
Out [2]
Train on1,600customers the model learns from
Test on400customers it has never seen
agevisitscart_valuedays_sincepredictsbought
7from sklearn.ensemble import GradientBoostingClassifier
8model = GradientBoostingClassifier(n_estimators=200, verbose=1)
9model.fit(X_train, y_train)
Out [3] · training run
[ 25/200]loss 0.612 val_acc 0.58
[ 50/200]loss 0.481 val_acc 0.67
[ 75/200]loss 0.402 val_acc 0.74
[100/200]loss 0.351 val_acc 0.79
[125/200]loss 0.318 val_acc 0.83
[150/200]loss 0.296 val_acc 0.86
[200/200]loss 0.284 val_acc 0.87
Validation accuracy0.50Climbs as the trees are added
10pred = model.predict(X_test)
11accuracy_score(y_test, pred), confusion_matrix(y_test, pred)
Out [4] · on the 400 unseen customers
Accuracy0.87348 of 400 right
precision 0.80recall 0.84good enough to ship, and you can say why
12@app.post("/predict")
13def predict(c: Customer):
14 return {"will_buy": model.predict_proba([c.features()])[0][1]}
Out [5] · the app a teammate can use
Age
29
Visits this month
7
Cart value
₹2,400
Last order
12 days ago
Predict
Will buy: yes82% likely, send the offer
Load a real-looking dataset and look at it first

Two courses, sixteen weekends, one deployed model at the end

Foundations takes you from Python to your first trained and evaluated models. Advanced adds deep learning, vision, language, generative AI and deployment.Take one or both.

Course 1 · Months 1 and 248 hours liveNo experience needed

AI & ML Foundations

Python, the maths behind machine learning, classical models with scikit-learn, and how to tune and evaluate them.Projects throughout.

01Python for AI and MLPython from scratch, then NumPy, Pandas and Jupyter on real datasets: load, clean, plot, ask questions.Weeks 1 to 2
02Maths for AIStatistics, probability and linear algebra, taught in code next to the model that needs them.Weeks 3 to 4
03Classical machine learningRegression, classification and clustering with scikit-learn.Your first models on tabular data.Weeks 5 to 6
04Model optimisation and evaluationTrain and test splits, cross-validation, tuning, the metrics that matter and when each one lies.Weeks 7 to 8
05Foundations projectCustomer churn prediction end to end, reviewed by your trainer and pushed to GitHub.Week 8
Foundations certificateOn completing the course and its project
Course 2 · Months 3 and 448 hours liveAfter Foundations, or with Python and ML basics

Advanced AI & Machine Learning

Deep learning, computer vision, NLP, generative AI with LLMs, and deployment basics. Ends with a final project you build and present.

06Deep learning and neural networksHow a network learns, built once by hand, then in TensorFlow and PyTorch.Weeks 9 to 10
07Computer visionConvolutional networks and transfer learning.An image classifier trained on cloud GPUs.Weeks 11 to 12
08Natural language processingText to numbers, embeddings and transformers.A sentiment classifier from TF-IDF to a fine-tuned model.Week 13
09Generative AI and LLMsPrompting, the OpenAI API, retrieval over your own documents and a LangChain app with citations.Weeks 14 to 15
10Deployment basics and final projectA model behind a FastAPI endpoint in Docker, then your final project, presented to the batch.Week 16
Advanced certificateOn completing the course and presenting the final project

Six projects. Each one is an interview answer.

Every project is built in class, reviewed by your trainer and public on your GitHub, so an interviewer can open it before the call.

Tabular dataCourse 1

Customer churn prediction

Telecom-style customer records.A classifier that flags who is about to leave, and the threshold you picked for it.

In the interview you showThe metric you chose over accuracy, and why.
Tabular dataCourse 1

House price regression

Housing listings with messy columns.A regression pipeline with feature engineering and an honest error analysis.

In the interview you showWhere the model is wrong by the most, and what you did about it.
ImagesCourse 2

Image classifier

A labelled photo dataset.A convolutional network with transfer learning, trained on cloud GPUs.

In the interview you showThe confusion matrix and the classes it mixes up.
TextCourse 2

Sentiment classifier

Product reviews.The same task solved with TF-IDF and with a fine-tuned transformer, compared side by side.

In the interview you showWhen the simple model is enough, and when it is not.
Your documentsCourse 2

GenAI app with LangChain

PDFs you choose.A question-answering app over them, with retrieval, the OpenAI API and citations in every answer.

In the interview you showHow you stopped it from making things up.
Dataset of your choiceCapstone

Final project, deployed

A problem you pick, a model you train and evaluate, served behind an API in Docker, with a GitHub repo and a short presentation to the batch.

In the interview you showA link that works, and the story behind it.
Talk to a counsellor Get the curriculum on WhatsApp

Who this track is for

Four kinds of people join this batch. Each one starts at a different point, and the counsellor helps you pick yours.

Final-year students and freshers

Any engineering branch.You want a first job where you build models, not just talk about them.

Start with Foundations

Developers and data people

You write code or SQL already and want ML on your resume with projects to back it up.

Foundations, or Advanced if you know ML basics

Working professionals switching into AI

Weekend classes, recordings for the weeks work gets in the way, and a portfolio by month 4.

Start with Foundations

QA engineers moving to AI

You know how software breaks.Add model building and evaluation, and you are the tester teams want on AI products.

Start with Foundations

Not for you if you want a certificate without building anything.Every module ends with code you wrote, and the certificate comes after the project, not before.

Taught live by an AI specialist with 10+ years in the industry

Your trainer teaches what he uses at work.

Pawan Singh, lead trainer
Lead trainer

Pawan Singh

AI specialist, 10+ years in the industry

  • Leads the track from the first weekend to your final project presentation
  • Teaches Python and maths for ML, classical ML, deep learning, NLP, generative AI and deployment
  • Reviews every project the way a senior engineer reviews a pull request
Teaches withPythonOpenAIGitHubDocker
Placement assistance

Guaranteed placement assistance.100+ hiring partners.

Train with us. Get referred by us.Guaranteed placement assistance through our network of 100+ hiring partners.

Your proof of work
GitHubSix projects on GitHubFrom churn prediction to a deployed capstone
Graded assignmentsEvery module, reviewed by your trainer
Mock interviewsWith working engineers
100+hiring partnersOur referral network
What placement assistance includes
Resume and LinkedIn rebuild, around your projects
Mock interviews with working engineers
Referrals into open roles across the partner network
Interview prep for every role you apply to
Prepares you for roles likeJunior ML engineerAI application developerData analyst with MLMLOps associate
Talk to a counsellor How placement assistance works

What learners wrote on Google

From learners across MoventAI courses and workshops, quoted as written.

SSandeshGoogle review
“I had very little AI knowledge before joining, but the course was easy to follow and helped me build confidence with practical AI tools.”
PPratikGoogle review
“The course was beginner-friendly and easy to understand. The practical sessions helped me learn how to use AI tools effectively and gave me a better understanding of real-world applications.”
VVaishnavGoogle review
“Before joining the course, I had very little understanding of AI. The sessions were beginner-friendly and easy to grasp, helping me gain confidence and learn how to use AI tools in practical situations.”
AAnishGoogle review
“MoventAI provides Best ai training courses with practical learning”
AAditiGoogle review
“Really good Playwright Automation course. The mentor explains everything very well and focuses more on practical learning rather than just theory. The hands-on sessions were really helpful. Definitely recommend it!”
SSwatiGoogle review
“I joined a 3 hour seminar on playwright and Agentic AI which was worth the time. How it was explained along with the details about the course and subjects were neatly done. Overall I had a good experience.”

Read all reviews

Fees

Take one course, or both as a combo.

Fees for the Sat 5 Dec batch.A counsellor calls you the same working day after you reserve.

Course 1 · 2 months

AI & ML Foundations

48 hours live, 5 modules, the churn and house-price projects, Foundations certificate.

List price ₹42,499₹21,499You save ₹21,000Batch fee for Foundations.The ₹1,000 trial is adjusted against it.
  • Python, maths for AI, classical ML, evaluation
  • Recordings, doubt sessions, graded assignments
  • Two projects on GitHub
  • Guaranteed placement assistance, 100+ hiring partners
Reserve with ₹1,000
Combo · Both courses · 4 months

AI & ML Engineer: Foundations + Advanced

96 hours live, 10 modules, six projects, a deployed final project, two certificates.

List price ₹51,498₹48,999You save ₹2,499Batch fee for both courses.The ₹1,000 trial is adjusted against it.
  • Everything in Foundations and Advanced
  • Six projects on GitHub, including the deployed capstone
  • Resume and LinkedIn rebuild, mock interviews, referrals
  • Guaranteed placement assistance, 100+ hiring partners
Reserve with ₹1,000
Course 2 · 2 months

Advanced AI & ML

48 hours live, 5 modules, deep learning to deployment, Advanced certificate. For people already comfortable with Python and ML basics.

List price ₹59,999₹29,999You save ₹30,000Batch fee for Advanced.The ₹1,000 trial is adjusted against it.
  • Deep learning, vision, NLP, generative AI, deployment
  • Recordings, doubt sessions, graded assignments
  • Final project, deployed and on GitHub
  • Guaranteed placement assistance, 100+ hiring partners
Reserve with ₹1,000

Not sure whether to start with Foundations or Advanced?Ask a counsellor and they will check your level with you.

Try before you commit

Try the batch for a week.

₹1,000, fully refundable.

Not for you? Tell us before week 1 ends and get it back.

Staying? It's adjusted against your fee.EMI options on your counselling call.

Reserve with ₹1,000 Talk to a counsellor
UPI QR code for M/S. MOVENT AI, ICICI Bank. UPI ID MSMOVENTAI.eazypay@icici
Reserve with ₹1,000 by UPI

Scan with any UPI app, or pay to MSMOVENTAI.eazypay@icici. Then send the payment screenshot on WhatsApp and a counsellor confirms your seat.

Pay ₹1,000 Send screenshot

Fully refundable if you tell us before week 1 ends.

How the week-1 trial works

  1. 1
    TodayReserve with ₹1,000

    Pay online in a minute.A counsellor calls you the same working day.

  2. 2
    Sat 5 and Sun 6 DecAttend the first week

    Every live session in week 1, with your trainer and the full batch.

  3. 3
    Before Fri 11 DecDecide

    Not for you? One WhatsApp message and the full ₹1,000 is refunded.Staying? It's adjusted against your fee.

Next batchStarts Sat 5 Dec 2026
Weekend batchSaturday and Sunday; your counsellor shares the timings
Live onlineEvery session recorded for revision
Offline optionIn our Pune classroom, ask your counsellor
Free AI & ML masterclass with Pawan Singh

New dates coming soon · Live on Zoom, three hours

How this compares with a recorded course or learning alone

Recorded courses are cheap and good for a first look. Learning alone works if you are disciplined.Here is where each one leaves you when you start applying.

What mattersMoventAIA recorded courseLearning alone
Live classesWith a trainer who builds models96 hours, live, questions answered as you goPre-recorded videos
Someone reviews your workProjects and assignmentsEvery project, by your trainerAuto-graded quizzes
Maths taught in codeNext to the model that needs itBuilt into weeks 3 and 4Varies by courseDepends on what you find
DeploymentA model behind an APIEvery learner ships the capstoneRarely coveredIf you get there
Proof for interviewsWhat an interviewer can openSix reviewed projects on GitHubA certificateWhat you manage to build alone
Placement assistanceTerms you can read before you payGuaranteed placement assistance through 100+ hiring partnersRarely
Try it firstWhat happens if it isn't for youWeek-1 trial, ₹1,000 fully refundableRefund terms varyFree to try
FeeOne fee per course, EMI optionsOften lowerFree, slower without feedback

Swipe the table sideways to compare

Not sure which course to start with? Talk to a counsellor before you decide.

FAQ

Questions people ask before they join

Get the curriculum on WhatsApp

Both courses, every module, the projects and the fees, as a PDF you can share at home.

Talk to a counsellorAsk on WhatsAppAll questions

Before you start

I don't have a coding background. Can I do this?

Yes. Foundations starts with Python on the first weekend: variables, loops and functions, then NumPy and Pandas on real datasets. You write code in every session and your trainer reviews it. If you have never programmed, plan two extra hours a week of practice in the first month.

How much maths do I need?

School-level maths is enough to start. The maths machine learning needs (statistics, probability and linear algebra) is taught inside the course, in code, alongside the model you are building that week. You learn why a method works, not only how to call it.

Do I need a laptop with a GPU?

No GPU needed. A regular laptop that runs Python and a browser is enough. The deep learning and generative AI modules run on cloud notebooks, so the heavy training happens on cloud GPUs, not on your machine.

How much time does it take each week?

Six hours of live class across Saturday and Sunday, plus four to six hours of your own time for assignments and projects. Most learners do this alongside college or a full-time job.

Classes and certificates

Are the classes live or recorded? Can I attend in person?

Live. Every session runs in real time with your trainer and you can ask questions as you go. Each session is recorded, so you can revise or catch up on a weekend you miss. The batch runs online, with an offline option in our Pune classroom. Ask your counsellor about offline seats.

Do I get a certificate?

Yes, one for each course you complete: AI & ML Foundations and Advanced AI & Machine Learning. The certificate is issued when you finish the course and submit its project.

What is the difference between Foundations and Advanced?

Foundations (months 1 and 2) covers Python, the maths behind machine learning, classical models with scikit-learn, and how to tune and evaluate them. Advanced (months 3 and 4) covers deep learning with TensorFlow and PyTorch, computer vision, NLP, generative AI with LLMs and LangChain, and deploying a model behind an API. The full track is both courses in sequence.

Can I join Advanced directly?

Yes, if you already write Python comfortably and have trained and evaluated a model with scikit-learn before. Tell your counsellor what you have built. They will confirm whether Advanced alone is the right start or whether a few Foundations sessions would help first.

Placement and fee

How does placement assistance work?

Guaranteed placement assistance through our network of 100+ hiring partners. Everyone who completes the track gets a resume and LinkedIn rebuild built around their projects, mock interviews with working engineers, referrals into open roles across the partner network, and interview preparation for the roles they apply to.

How do the ₹1,000 week-1 trial and the refund work?

Reserve your seat with ₹1,000, join the live batch and attend the whole first week. Not for you? Tell us on WhatsApp before week 1 ends and the full ₹1,000 is refunded. Staying? The ₹1,000 is adjusted against your fee.

Is EMI available?

Yes. EMI options cover the balance after the trial week. Your counsellor takes you through them on the call.

Sat 5 Dec · Weekend batch

Next batch starts Sat 5 Dec.

Guaranteed placement assistance through our network of 100+ hiring partners.

Talk to a counsellor See the fee

Or call +91 86260 64522

Free masterclassLive on Zoom