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Prerna
āBefore doing this course I was afraid to start ML. But this course made me excited to dive more into this domain.ā
Victor
Sleiman
āA big āthanksā you and other participants of creating the course. Explanation is so clear. I could understand the concepts fast.ā
Bipin Karunakaran
āCourse is so easy and clear to get deep into data science field. The roadmap is now very clear.ā
MIS Project Manager, Regie Libanaise de tabacs et tombacs
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Core
Optimization and supplementary course
Optimize ML models
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LLMs and Prompting Engineering
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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
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Comprehensive Curriculum
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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
2
1
3
4
5
6
7
8
9
10
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
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ā Iām finally confident to solve industry projects across different domains.ā
Jyoti Goyal
Software Development Engineer (SDE), Amazon
Why AIML Mastery
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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.
āIn 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.ā
Verified Graduate
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Aseem Amitav Panda
Aditya Modak
Senior Data Scientist, SAP
Senior Data Scientist, BNP Paribas
āThis 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.ā
āComprehensive 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.ā
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 ā no gaps, no confusion.
Depth, Not Breadth
We go deep into fundamentals so you truly understand ā 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
āThis 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.ā
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 Iām thoroughly impressed. The course strikes a perfect balance between theory and hands-on application, and the instructorsā 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
āComprehensive 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.ā
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 Prabhakaranās 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. Itās been an amazing ride from basic Python and ML to advanced concepts, with various projects that enhance learning. Iāve 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 Masterās 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, Iāve 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 ā 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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Prove your skills with a verified certificate and real-world projects.
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Connecting with others
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Building Relationships in Your Field
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Senior Director of Analytics, Renaissance Learning
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