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Dive deep into machine learning with hands-on training in neural networks, supervised and unsupervised learning, NLP, and reinforcement learning. Build the practical, in-demand skillset top AI teams are hiring for — through real projects, not just theory.
Most machine learning courses stay stuck in theory. Our Machine Learning program is built for beginners and intermediate learners who want to actually build, train, and ship models. Led by seasoned practitioners, you'll work through algorithms, model evaluation, and data preprocessing while gaining real proficiency in Python, data analysis, and predictive modeling — through a blend of theory and hands-on projects.
Stop training on toy datasets. Work hands-on with real-world data to build, evaluate, and tune models the way working data scientists do.
Learn directly from industry practitioners, with personalized mentorship to help you navigate concepts, projects, and career decisions.
Graduate with a GitHub-ready portfolio of trained models, evaluation reports, and deployed projects that get hiring managers to call you first.
Build a solid base in linear algebra, calculus, probability distributions, and statistical inference for ML.
Master Linear & Polynomial Regression, Logistic Regression, Decision Trees, and Support Vector Machines.
Apply K-Means, Hierarchical Clustering, PCA, and t-SNE to uncover structure in unlabeled data.
Build Feedforward Networks, CNNs, and RNNs, and apply transfer learning to real image and sequence tasks.
Work with word embeddings, RNNs, LSTMs, and attention mechanisms to process and understand language.
Apply Q-Learning and Deep Q-Networks, then deploy, scale, and monitor models in production.
Click on any module below to explore concepts, tools, and hands-on projects.
Our curriculum starts from the fundamentals and builds up your Python, math, and statistics foundation before moving into algorithms — so you don't need prior ML experience to enroll.
Train regression, classification, and clustering models, and rigorously evaluate them using cross-validation and key performance metrics.
Build and train CNNs, RNNs, and transfer-learning pipelines to solve real image and sequence-based problems.
Process text data, build word embeddings, and use attention-based sequence models to power language-driven applications.
Apply Q-Learning, Deep Q-Networks, and policy gradient methods to solve real decision-making problems.
Package, deploy, and monitor models in production environments using modern MLOps practices.
Graduate with a GitHub-ready portfolio of trained models, notebooks, and case studies that prove your skills to top companies.
Machine Learning and Data Science roles are consistently ranked among India's highest-paid and fastest-growing tech careers.
Our dedicated placement system operates alongside your classes. We prepare your portfolio and arrange direct introductions with top teams from week one.
Structure a GitHub portfolio with trained models, Jupyter notebooks, evaluation reports, and deployed project demos.
Optimize your resume, LinkedIn, and Kaggle profile with key ML and data science terms to attract recruiter searches.
Practice explaining model choices, evaluation metrics, and trade-offs in mock panels with industry mentors.
Get direct referrals to our network of over 300 partner brands and tech companies hiring for AI & ML roles.
Resume building, mock interviews, 1:1 mentorship, and direct referrals. We work with you individually until you secure a job offer.
Access the same industry-standard curriculum and placement network. Choose the model that matches your schedule.
Upskill Now is built for the AI economy — not the old classroom model. Every course combines live instruction, real-world projects, internship exposure, and dedicated placement support so you graduate work-ready, not just certified.
Every module ends with a real deliverable you can show employers, not just a test score.
Train on 1000+ AI tools across every domain — from ChatGPT and Claude to TensorFlow and AutoML.
Gain real industry experience and leave with a portfolio, a strong LinkedIn, and interview-ready confidence.
Learn from professionals who are actively working in AI, marketing, and development right now.
Delhi · ML Alumnus
Building real projects with live datasets instead of toy examples completely changed how I approach modeling. My capstone project portfolio helped me land an ML Engineer role right away.
Gurgaon · ML Alumna
The deep learning and NLP modules gave me confidence to work on production-grade text models. I use these workflows daily at my new role.
Noida · ML Alumnus
The model deployment module alone was worth the entire course fee. Learning to ship and monitor models in production made the difference in my interviews.
Bangalore · ML Alumna
Learning to correctly structure and tune CNN architectures helped me fix real accuracy issues in production. Companies value applied model-building skills above everything else.
Mumbai · ML Alumnus
Within 30 days of completing the course, I secured my first freelance ML consulting project. The tech stack taught here is highly practical and genuinely in-demand.
Delhi · ML Alumnus
Building real projects with live datasets instead of toy examples completely changed how I approach modeling. My capstone project portfolio helped me land an ML Engineer role right away.
Gurgaon · ML Alumna
The deep learning and NLP modules gave me confidence to work on production-grade text models. I use these workflows daily at my new role.
Noida · ML Alumnus
The model deployment module alone was worth the entire course fee. Learning to ship and monitor models in production made the difference in my interviews.
The course provides comprehensive, hands-on training in machine learning — from core algorithms and statistics through deep learning, NLP, reinforcement learning, and model deployment. You'll learn essential ML concepts and techniques while working on real-world projects throughout.
Both options follow the same practical curriculum. Online students join live, interactive classes (Mon–Sat, 2 hours daily) via Zoom. Offline students learn from our Delhi training center with lab access.
Yes. Every student receives a guaranteed internship working on live projects, along with a Letter of Recommendation upon successful completion. You'll also get 1:1 mentorship throughout the program from Mr. Nikhil Kundra.
You will earn our WES Recognized Machine Learning + AI Certificate with a shareable LinkedIn verification badge upon successful completion of the course.
We help you build your ML portfolio, optimize your profiles, run mock technical interviews, and provide direct job referrals. We work with you individually until you secure a job offer. To qualify, you simply need to complete all projects and participate in placement sessions.
The upcoming Machine Learning batch starts on July 25, 2026. We limit seats to 25-30 students per batch to ensure proper hands-on guidance. Early bird pricing is available until July 20, 2026.
Only 8 seats remain for the current cohort. Early bird pricing ends July 20. The next training batch opens in August 2026.
Zero upfront commitments · Quick callback response within 2 hours · Instalment plans ready