Customer churn prediction
Predict which customers will leave and explain why using feature importance and SHAP.
Machine Learning with Python · 2026
Curriculum updated for 2026
Course completion certificate
AI-integrated
Machine Learning Training in Hyderabad
Learn machine learning with Python from scratch — data handling, ML algorithms, deep learning, NLP, GenAI basics and model deployment — with 6 real-time projects, in our Ameerpet classroom or live online.
G4.7★★★★★on Google 5000+ students trained- Duration
- 60 Days
- Mode
- Live Online & Classroom
- Batches
- Weekday & Weekend
- Hands-on
- 6 real-time projects
Free demo class — no payment needed
Quick Enquiry
Get a free demo session today!
01Overview
Machine Learning Training in Hyderabad — learn ML with Python by building real models
Our Machine Learning training in Hyderabad is a 60-day, hands-on course for people who want to actually build and ship ML models, not just watch theory videos. You start with Python and data, move through the core algorithms every ML job asks for, and finish by deploying your own model as a working app.
The course is taught as Machine Learning with Python training because Python is what companies in Hyderabad use for ML work — Pandas, Scikit-learn, XGBoost, TensorFlow and PyTorch. Every concept is explained with a dataset first and the maths second, so you do not need a strong maths background to start.
Classes run in our Ameerpet classroom and as live online training in the same batch, so you can join from anywhere in Hyderabad, India or abroad.
- 60days of live training
- 12modules, 66 topics
- 6real-time projects
- 2modes: classroom & online
The machine learning workflow you will practise in every project
- CollectCSV, SQL, APIs
- CleanPandas, EDA
- Engineerfeatures, pipelines
- TrainScikit-learn, XGBoost
- Evaluatemetrics, SHAP
- DeployFastAPI, Docker
Training → Placement → Job Support
100% Placement Assistance + Job Support
- Interview support & resume preparation
- Interview referrals until you get placed
- Real-time job support after you join a company
02Who can join
Who is this Machine Learning course for?
Freshers & final-year students
B.Tech, B.Sc, MCA or any degree with interest in data. We start Python from zero.
Developers & testers
Move from application work to ML and AI projects using the Python skills you build here.
Data & Excel analysts
Go beyond reports and dashboards — build models that predict, classify and forecast.
Working professionals
Weekend and evening batches for people switching careers into data science and ML.
03Curriculum
Machine Learning with Python course curriculum (updated for 2026)
The syllabus is planned as a 60-day roadmap. Each phase ends with a project, so by the end you have a portfolio, not just notes.
- Phase 1 · Weeks 1–3Foundations
Python, NumPy, Pandas, statistics and EDA.
- Phase 2 · Weeks 3–6Core Machine Learning
Regression, classification, clustering, feature engineering and tuning.
- Phase 3 · Weeks 6–8Deep Learning, NLP & GenAI
TensorFlow, PyTorch, CNN, LSTM, Transformers and RAG basics.
- Phase 4 · Weeks 8–9Deploy & get hired
MLOps, FastAPI, Docker, capstone, portfolio and mock interviews.
- Python basics: data types, loops, functions, OOP
- Working in Jupyter Notebook, VS Code and Google Colab
- NumPy arrays, broadcasting and vector maths
- Pandas: DataFrames, filtering, groupby, merge and pivot
- Reading CSV, Excel, JSON and SQL data
- Handling missing values, duplicates and outliers
- Mean, median, variance and standard deviation
- Probability and common distributions
- Sampling, confidence intervals and hypothesis testing
- Correlation vs causation
- Linear algebra you actually need: vectors, matrices, dot product
- Gradient descent explained step by step
- EDA workflow on a real business dataset
- Matplotlib and Seaborn charts
- Interactive charts with Plotly
- Finding patterns, skew and class imbalance
- Writing an EDA report a manager can read
- Simple and multiple linear regression
- Polynomial regression
- Regularisation: Ridge, Lasso and ElasticNet
- Metrics: MAE, RMSE and R²
- Project: house price prediction for Hyderabad localities
- Logistic regression and KNN
- Decision Trees and Random Forest
- Support Vector Machines
- Gradient boosting: XGBoost, LightGBM and CatBoost
- Metrics: confusion matrix, precision, recall, F1 and ROC-AUC
- Handling imbalanced data with SMOTE and class weights
- K-Means and choosing K
- Hierarchical clustering and DBSCAN
- PCA for dimensionality reduction
- Anomaly detection with Isolation Forest
- Customer segmentation case study
- Encoding, scaling and feature creation
- Scikit-learn Pipelines and ColumnTransformer
- Train/validation/test split and cross-validation
- Hyperparameter tuning with GridSearchCV and Optuna
- Explaining models with SHAP
- Neural networks, activation functions and backpropagation
- Building models with Keras (TensorFlow)
- Building the same model in PyTorch
- CNNs for image classification and transfer learning
- RNN and LSTM for sequences and time series
- Overfitting control: dropout, early stopping, augmentation
- Text cleaning, tokenisation and TF-IDF
- Word embeddings
- Sentiment analysis and text classification
- Transformer models with Hugging Face
- Fine-tuning a small pre-trained model
- How Large Language Models work (in simple terms)
- Prompt engineering for data and ML tasks
- Embeddings and vector databases
- RAG (Retrieval-Augmented Generation) basics
- Where classic ML still beats an LLM
- Saving models with joblib and pickle
- Building a prediction API with FastAPI
- Quick ML apps with Streamlit
- Packaging with Docker
- Experiment tracking with MLflow
- Deploying a model to the cloud (overview of AWS, Azure and GCP options)
- Git and GitHub for ML projects
- End-to-end capstone project from raw data to deployed app
- GitHub portfolio and project write-ups
- Resume and LinkedIn profile for ML roles
- ML interview questions: theory, coding and case studies
- Mock interviews with feedback
04Projects
Real-time Machine Learning projects you will build
Each project uses a real-world style dataset and is pushed to your GitHub, so you can show it in interviews.
Credit card fraud detection
Work with highly imbalanced data and choose the right metric when fraud is less than 1% of records.
House price prediction
Regression model for property prices with feature engineering on location, size and amenities.
Sales forecasting
Forecast weekly sales and compare classic ML with an LSTM time-series model.
Medical image classification
Classify X-ray images with a CNN and transfer learning, then measure model reliability.
Resume–job match app (capstone)
An NLP app that scores a resume against a job description and is deployed as a web app.
05Tools
Tools & libraries covered
Data
PythonNumPyPandasSQLJupyter
Visualisation
MatplotlibSeabornPlotly
Machine Learning
Scikit-learnXGBoostLightGBMCatBoostOptunaSHAP
Deep Learning & NLP
TensorFlowKerasPyTorchHugging Face
Deploy & MLOps
FastAPIStreamlitDockerMLflowGit & GitHub
06Why VR IT
How to choose the best Machine Learning training in Hyderabad
If you are comparing institutes for the best Machine Learning training in Hyderabad, check these points before you join anywhere. Here is how our course handles each one.
- Is the syllabus current?
Ours is updated for 2026 — XGBoost, PyTorch, Transformers, RAG basics and MLOps, not just old algorithm lists.
- Do you build projects yourself?
You write the code for 6 projects in class, with the trainer reviewing your work.
- Is deployment taught?
Companies want models in production. You deploy with FastAPI, Streamlit and Docker.
- Can you attend the way you want?
Same batch in Ameerpet classroom and live online. Sessions are recorded for revision.
- Is there interview support?
Resume, GitHub portfolio, ML interview questions and mock interviews are part of the course.
- Can you try before you pay?
Attend a free demo class and talk to the trainer first.
07Careers
Machine Learning jobs in Hyderabad
Hyderabad's IT corridors — HITEC City, Gachibowli, Madhapur and the Financial District — have product companies, global capability centres and IT services firms hiring for data and AI roles. After this course you can apply for:
Machine Learning EngineerBuilds, trains and deploys ML models.
Data ScientistTurns business questions into data analysis and models.
AI / ML DeveloperAdds ML and GenAI features to applications.
MLOps EngineerAutomates model deployment and monitoring.
Data Analyst (ML)Uses ML for forecasting and segmentation.
Our Machine Learning Training and Placement Support in Hyderabad includes resume and GitHub portfolio preparation, ML interview questions, mock interviews and job referrals after the course.
08Training modes
Classroom training in Ameerpet & Machine Learning online training
Classroom — Ameerpet, Hyderabad
- Face-to-face sessions with the trainer
- Lab practice and doubt clearing in class
- Easy to reach by Metro from across Hyderabad
Live online training
- Same live class, joined from home or office
- Ask questions in real time; screen-share for doubts
- Recorded sessions for revision
Morning, evening and weekend batches. Call +91 90327 34343 for the next batch date.
From your first class to your first project at work
We stay with you after the course ends — through interviews, placement, and your first months on the job.
- Free demo classMeet the trainer and see how classes run before you pay.
- Live trainingOnline or classroom at Ameerpet, with hands-on practice every session.
- Real-time projectWork through a real implementation scenario from start to finish.
- Course certificateGet your course completion certificate from VR IT Solutions.
- Resume & mock interviewsResume review and practice interviews with experienced professionals.
- Placement assistanceInterview referrals and guidance until you get placed.
- Job supportStuck on a task in your new job? Our trainers help you solve it.
What our students say on Google
G4.7★★★★★See all reviews on GoogleS
SrinivasJune 2026 · Google review
★★★★★I joined Python with AI Training at VR IT Solutions after searching for a good Python with AI Training in Hyderabad. The training was well structured and easy to follow, even for someone with basic programming knowledge. The trainer covered Python, AI concepts, and Generative AI tools with practical examples and hands-on exercises. I particularly liked the real-time approach used during the sessions, which made learning more interesting. The classes were interactive and all doubts were addressed patiently. The support provided for assignments and practice tasks was also very helpful. If you are looking for Python with AI Training in Ameerpet, Python Online Training, or Generative AI Training with practical exposure, VR IT Solutions is a great place to learn and improve your skills.
V
Venkat koti reddyMay 2026 · Google review
★★★★★Recently completed Python with AI online Training in Ameerpet and I had a positive experience from the beginning. The trainer started with Python basics and gradually moved into AI concepts, which made learning very comfortable. I especially liked the way Generative AI tools and real-time examples were included in the sessions. Classes were not just theory based, every topic had practical coding practice. The faculty was friendly and always encouraged students to ask doubts freely. Assignments and mini projects helped improve problem-solving skills a lot. Even the Python Online Training support and recorded sessions were useful for revision. Overall, this training is a good option for anyone interested in Python with AI.
K
KoppisettilavanyaMay 2026 · Google review
★★★★★One of my friends suggested this Python with AI Training in Ameerpet and it was worth joining.The trainer covered Python basics to advanced AI concepts step by step.I also learned many Generative AI tools during the training period.
Real-time examples made the sessions more interesting and easy to follow.
The environment was friendly and classes were very interactive. The trainer has very good patience while teaching every topic.Overall,
A very useful training institute for Python with AI, and Generative AI courses
Start your Machine Learning careerFree demo class · Live Online & Classroom · Ameerpet, Hyderabad
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Preparing for Machine Learning interviews?
Read free interview questions and real-time scenarios with answers. Our students get all 41+ in the Job Ready Hub.
Batch timings
Pick a slot that fits around college or work. New batches start every month.
Book your slot- Morning7 – 9 AM
- Afternoon12 – 2 PM
- Evening6 – 8 PM
- WeekendSat & Sun
- Fast trackOn request
- One-to-one training
- Backup classes
- Free resume preparation
- Mock interviews
- Job support
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Certificate
Get your course completion certificate
- Issued by VR IT Solutions when you complete the course and the real-time project
- Every certificate has its own certificate ID
- Add it to your resume and LinkedIn profile
Visit our Ameerpet centre
- 506/A, Aditya Enclave, Nilagiri Block, 5th Floor, Ameerpet, Hyderabad – 500016
- Monday to Saturday, 9 AM – 7 PM
- +91 90327 34343
- info@vritsol.com
Machine Learning Training in Hyderabad – FAQs
The course covers Python, NumPy, Pandas, statistics, EDA, regression, classification, clustering, XGBoost and LightGBM, feature engineering, deep learning with TensorFlow and PyTorch, NLP with Transformers, Generative AI basics and MLOps deployment with FastAPI, Docker and MLflow, plus 6 real-time projects.
Yes. We start Python from the basics and explain the maths with examples, so freshers and non-programmers can follow. Knowing basic school-level maths is enough to start.
The course runs for 60 days with weekday, evening and weekend batches. Every session is recorded so you can revise or catch up on a missed class.
Yes. The same live batch runs in our Ameerpet, Hyderabad classroom and online, so you can attend in person or join live from anywhere.
You build 6 projects: customer churn prediction, credit card fraud detection, house price prediction, sales forecasting, medical image classification and a resume and job-description matching app that you deploy as a web app.
You can apply for Machine Learning Engineer, Data Scientist, AI/ML Developer, MLOps Engineer and Data Analyst roles. Salaries depend on your skills, projects and the company.
Yes. Placement support includes resume and LinkedIn preparation, a GitHub project portfolio, ML interview questions, mock interviews and sharing job openings with you.
Yes. You can attend a free demo class and speak to the trainer. Call +91 90327 34343 or fill the enquiry form on this page.
Absolutely. VR IT Solutions offers free demo sessions for all courses. You can attend a live class, interact with the trainer, and get a feel for the training quality before making any commitment. Just reach out to our team and we will schedule one for you.
We provide end-to-end placement assistance — from building a job-ready resume to conducting mock interviews with industry experts. Our team actively shares job openings, refers students to hiring companies, and supports you until you land your first role.
Yes. Every trainer at VR IT Solutions has between 8 and 13 years of hands-on industry experience. They have worked on real enterprise projects and bring that practical knowledge directly into the classroom, which makes a significant difference when you face real job interviews.
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