Machine Learning with Python – Practical Models & Real-World Projects
Master the fundamentals and advanced concepts of Machine Learning using Python. Learn how to build, train, and evaluate predictive models with hands-on coding and real-world datasets, preparing you for high-demand AI & ML roles.
Cohort Info
- Program Duration: 3 Months
- Next Cohort Launch: 1st of every month
- Application Deadline: 15th of every month
Key Highlights
- Mode of Learning: Hybrid (Online ILT + Optional In-person Labs)
- Number of Modules: 2 (Core + Capstone Project)
- Language of Instruction: English
- Mapped to NASSCOM SSC/Q8101 NOS for AI/ML Developers.
- End-to-end ML pipeline: data preprocessing, model building, evaluation, and deployment basics.
- Practical coding sessions with Python, Scikit-learn, Pandas, and NumPy.
- Two real-world projects, including predictive analytics and classification models.
- Industry-relevant skills that align with global AI/ML job market needs.
Course Curriculum
Modules designed to meet current industry standards.
01
Machine Learning Foundations
Data preprocessing, exploratory analysis.
Supervised & unsupervised algorithms.
Model evaluation metrics.
02
Applied Machine Learning Project
Real-world predictive analytics project.
Classification model for business decision-making.
Model optimization and basic deployment.
What You’ll Learn
Essential Skills & Tools for Leading Projects in the Digital Age
Supervised & unsupervised learning, feature engineering, model evaluation, hyperparameter tuning, basic deployment techniques.
Python, Jupyter Notebook, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn.
Need to know more?
Need to know more?
Need to know more?
Get to know the course in depth by downloading the course brochure
What Our Learners Say: Read Real Outcomes, Real Voices
“The curriculum’s research depth and hands-on approach helped me transition from a data analyst to a deep learning engineer. The faculty’s mentorship is a game-changer.”
Real People. Real Results
Real stories of career growth, skill mastery, and success after MSM Grad programs.
Real People. Real Results
Real stories of career growth, skill mastery, and success after MSM Grad programs.
Designed for Ambitious Professionals
- Machine Learning Engineer
- AI Developer
- Data Scientist
- Predictive Analytics Specialist
ML engineer demand is growing at 40% YoY globally (LinkedIn Jobs Report).
₹5 – ₹10 LPA for entry-level ML engineers in India.
Designed for Ambitious Professionals
- Machine Learning Engineer
- AI Developer
- Data Scientist
- Predictive Analytics Specialist
ML engineer demand is growing at 40% YoY globally (LinkedIn Jobs Report).
₹5 – ₹10 LPA for entry-level ML engineers in India.
You Asked, We Answered
Basic Python knowledge is helpful; a refresher is provided.
Yes, you’ll code and train models using real-world datasets.
It’s ideal for beginners with a STEM background and intermediate Python learners.
MSM Grad & NASSCOM-certified Machine Learning with Python credential.
Two applied projects, including one capstone aligned with industry requirements.
Yes, the schedule is flexible, and recordings are available.
Yes, combined with our career services, you’ll be ready for AI/ML roles.
Yes, basic deployment concepts are introduced.
No, deep learning is part of our advanced AI programs.
Strong demand with high growth; companies in fintech, healthtech, and e-commerce actively hire ML talent.
