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Certification on completion

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Our Alumni Have Received Offers From

Our self-paced online courses prepare students and professionals for the demands of Data Science / AI jobs.

Data Scientist, Kearney

Senior Director of Analytics, RL

Prerna

“Before doing this course I was afraid to start ML. But this course made me excited to dive more into this domain.”

Victor

Sleiman

“A big ‘thanks’ you and other participants of creating the course. Explanation is so clear. I could understand the concepts fast.”

Bipin Karunakaran

“Course is so easy and clear to get deep into data science field. The roadmap is now very clear.”

MIS Project Manager, Regie Libanaise de tabacs et tombacs

Your End-to-End Data Science & AI Training

Self-paced courses, 9 Core specializations, Industry grade projects & 1-1 support.

Full Stack Data Science & AI

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Core Specializations

10M +

200 +

80 +

4.8 +

Complete AI/ML Structure

Industry-standard technologies used by top tech companies worldwide

Core python & Statistics

Programming for Data Science & AI

Beginner

Core

Supervised & Unsupervised models

ML Specialization

Intermediate

Core

Optimization and supplementary course

Optimize ML models

Optional

ML Ops Specialization

Deployment & Monitoring

Intermediate

Core

Generative Ai

LLMs and Prompting Engineering

Trending

Forecasting Specialization

Time series & Predictions

Domain-Specific

Industry Projects

Complete end-to-end

ML project

Hands on

Deep Learning Specialization

Computer Vision &

NLP

Domain-Specific

Your core Full stack

Master AI & ML

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Where our learners end up

ML+ graduates go on to secure impactful roles in data science and machine learning across industries

of completers report a career advancement within 6 months

87%

3.2x

average increase in interview callbacks after completing the portfolio projects

25+

countries with ML+ alumni working in data science and ML engineering roles

Master the Tools Used by Industry Professionals

Comprehensive Curriculum

Our

Roadmap

Master every aspect of AI & ML with our structured learning paths

Build strong programming skills to handle, analyze, and visualize data effectively.

Programming for DS/AI

Python

SQL

Data Visualization

NumPy & Pandas

Understand and implement the most important machine learning algorithms used in real-world.

ML Specialization

Linear Regression

Decision Trees

Logistic Regression

Ensemble Models

Master time series analysis and forecasting techniques for data-driven predictions.

Forecasting Specialization

Vector AutoRegression

Feature Engineering

Time Series Analysis

Statistical Forecasting Models

Explore advanced neural networks and deep learning techniques for complex AI tasks.

Deep Learning

Foundations

NLP

Computer Vision

PyTorch

Optimize ML models and systems using mathematical optimization techniques.

Optimization

Gradient Descent

Performance Tuning

Linear Programming

Optimization Solvers

Math for ML

Develop strong math fundamentals to understand and apply ml algorithms.

Linear Algebra

Probability

Statistics

Calculus

ML Ops

Learn how to deploy, monitor, and scale machine learning models in production.

Model Deployment

PySpark

Docker for DS

Deployment Optimization

Industry Projects

Work on real-world problems and build end-to-end machine learning projects.

Business Use Cases

End-to-End Projects

Hands-on Experience

Portfolio Projects

Generative AI

Build intelligent AI systems using large language models and agent-based workflows.

RAG

Agentic Workflows

Large Language Models

Production AI Systems

Supplementary Courses

Strengthen your learning with elective courses and supporting tools.

R Programming

Caret

spaCy

Regression Modeling

Featured Testimonial

“ I’m finally confident to solve industry projects across different domains.”

Jyoti Goyal

Software Development Engineer (SDE), Amazon

Why AIML Mastery

Categories

Clearly Explained

Math Behind Algorithms

Hands-On Coding

Reference Material

Supplementary Courses

Doubt Support

Completion Certificate

Live Sessions Access

Industry Grade Projects

End-to-End DS Roadmap

1:1 Mentorship

Mock Interviews

Machine Learning Plus

Other Courses

Video

Testimonials

Hear directly from our successful alumni about their journey

Sarah Chen

VP of Engineering

Marcus Johnson

Data Science Lead

Marcus Johnson

Data Science Lead

Dr. Basvaraj

Souptik Dhar

Data Analyst, Google

Data Science Manager, Merck Group

The content is truly impressive! The curriculum has been thoughtfully designed, ensuring that each module flows seamlessly into the next. It covers all essential topics in a clear and engaging manner, making it easy for learners to grasp complex concepts.

“In my early days of career, I used ML+ content to gain experience on different concepts and projects. The content over there is easy to understand and also very engaging. Many thanks to the team for providing me a platform to play around with data.”

Verified Graduate

Verified Graduate

Aseem Amitav Panda

Aditya Modak

Senior Data Scientist, SAP

Senior Data Scientist, BNP Paribas

“This program has a well structured curriculum which helped me to get a perfect road map to Data Science. The learning model delivered by industry experts along with the support and resume preparation helped me a lot.”

“Comprehensive guide on ways to deal with big(ger) data in Python. Thank you Selva Prabhakaran for this excellent write-up and for creating hands-on, practical ML courses.”

Verified Graduate

Verified Graduate

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Not just another course. A complete transformation

Most courses teach isolated skills. We give you a structured, end-to-end pathway that mirrors how real data science teams operate.

Industry-Grade Projects

Build a portfolio of real-world projects that showcase production-level data science skills employers demand.

Hands-On Projects

Every concept is reinforced with practical coding exercises and real-world datasets. Learn by doing, not just watching.

Structured Sequence

Courses designed to be taken in a specific order. Each builds on the last — no gaps, no confusion.

Depth, Not Breadth

We go deep into fundamentals so you truly understand — not just copy-paste code from tutorials.

Certificates Included

Earn certificates for each specialization you complete. Showcase your achievements on LinkedIn.

From Zero to Production

Start from basic Python. End at deploying ML models with MLOps, Deep Learning, and GenAI.

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Trusted by 57,000+ learners

Aseem Amitav Panda

Senior Data Scientist, SAP

Pratik Sarangi

Senior Consultant, Deloitte

The complete machine learning and deep learning path is an absolute no-brainer! Even with zero data science experience, I was able to grasp all the concepts. Helped me big time in my projects.

Souptik Dhar

Data Analyst, Google

In my early days of career, I used ML+ content to gain experience on different concepts and projects. The content over there is easy to understand and also very engaging. Many thanks to the team for providing me a platform to play around with data.

Rituparna Sahoo

Data Science Manager, Verizon

I recently took this Machine Learning course to brush up my basics, and I’m thoroughly impressed. The course strikes a perfect balance between theory and hands-on application, and the instructors’ expertise shines through

Shubham Shakya

Data Engineer, NeurIOT Labs

This roadmap is exactly what I was looking for. Selva is a great teacher to guide anyone on their journey to learn ML, and you get to build a number of projects that will be good for your portfolio.

Aditya Modak

Senior Data Scientist, BNP Paribas

“Comprehensive guide on ways to deal with big(ger) data in Python. Thank you Selva Prabhakaran for this excellent write-up and for creating hands-on, practical ML courses.”

Prerna Sharma

Customer Success Engineer, Databricks

I can say that investing in this program was the best decision i have ever taken. The learning was great, it helped me to build my portfolio. And because of this, I was able to make a significant career transition

Suryanshu Vasishta

Senior Analytics Consultant, Tiger Analytics

Selva Prabhakaran’s course on #Regression modeling in #R is the best one I have found so far that covers all concepts and hands on implementation. Would highly recommend to anyone looking to learn.

Surya Parameswaran

ML Architect, Yubi

If anyone is looking for where to start in the field of Data Science or ML, you should definitely go with Machine Learning courses. It gives you a clear idea what to do and what not to do.

Manali Singh

Data Scientist, PayPal

The journey with DS Career Path is fantastic. It’s been an amazing ride from basic Python and ML to advanced concepts, with various projects that enhance learning. I’ve gained valuable skills and confidence along the way.

Thilina Liyanaarachchi

Project Engineer, RDA

Machine Learning Plus helps me in learning #machinelearning and #deeplearning for my final project in Master’s degree. The clear content with industry-based examples was instrumental in my success as a beginner for this area of study.

Manjunath

Engagement Manager, Definitive Healthcare

The training helped me to upgrade my career from a Data Analyst to Data Scientist. Today, I’ve successfully grown in this career because of this program. This gave me confidence in my skills, and helped me to get placed in Anheuser-Busch InBev within 3 months.

Neha Jain

Data Scientist, PayPal

The course is so easy and clear, making it simple to dive deep into the data science field. The roadmap is now very clear, guiding you every step of the way. You'll feel confident as you progress through each module.

Sawan Kumar Salhotra

Team Lead, Omnichanne

I would like to thank the Machinelearningplus – Data Science Group and Selva Prabhakaran for this opportunity and for providing me with formal and structured learning in Data Science.

Dr. Basvaraj

Data Science Manager, Merck Group

Great content! The curriculum is well-structured and concise. The topics are engaging, making it easy to follow along. I appreciate the clear examples that enhance understanding.

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