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Machine Learning (Theory + Practice)

Master the fundamentals of machine learning, including data preprocessing, algorithms, and statistical modeling, then advance to practical implementation using Python and industry-standard tools to solve real-world problems.
Data Processing, Statistics, Linear Algebra
Supervised & Unsupervised Learning Algorithms
Python / NumPy / Pandas / Scikit-learn / Matplotlib
Model Evaluation & Optimization
Portfolio Creation & Project Implementation
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Choose Your Package

6 Weeks – Foundation

Fundamentals

✓  Learn Learn the basics of machine learning, including Python programming, data preprocessing, statistics, and linear algebra.

6 Weeks – Foundation

Mini Project

✓  Create a small machine learning project using Python and popular ML libraries like NumPy, Pandas, and Scikit-learn.

6 Weeks – Foundation

Support

✓ Get live classes, recorded sessions, and doubt-solving support from experienced mentors.

6 Weeks – Foundation

Certificate

✓ Earn a foundation certificate after completing the course.
 
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3 Months – Skill Development

Core + Project

✓ Learn machine learning fundamentals, advanced algorithms, and model-building techniques, and create integrated ML projects.

3 Months – Skill Development

Mentorship

✓ Receive regular guidance, reviews, and feedback from experienced machine learning mentors.

3 Months – Skill Development

Portfolio

✓ Complete 2 ML projects including a dynamic capstone project to showcase your skills and problem-solving abilities.

3 Months – Skill Development

Presentation Prep

✓ Polish your portfolio, prepare project reports, and get introduced to ML-focused interview practices.
 
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6 Months – Professional

Machine Learning / Advanced

✓ Learn advanced machine learning concepts, algorithms, model evaluation, and optimization techniques to build professional-grade ML solutions.
6 Months – Professional

Live Project

✓  Work on real-world machine learning projects guided by industry mentors to build a strong portfolio.
6 Months – Professional

Mock Interviews

✓   Get feedback and guidance on your ML skills and projects to prepare for technical interviews and industry assessments.
6 Months – Professional

Internship Option

✓   Eligible students can join live machine learning internship programs to gain hands-on industry experience.
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1 Year – Career Program

Training + Internship

✓ 6 months of machine learning training + 6 months of live ML project work.

1 Year – Career Program

Career Coaching

✓  Guidance on ML portfolios, referrals, and job opportunities in AI, data science, and machine learning roles.

1 Year – Career Program

Experience Letter

✓ Get official documentation of your machine learning work experience.

1 Year – Career Program

Alumni Network

✓ Priority access to alumni events, networking, and the machine learning developer community.
 
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What you'll learn

Gain hands-on experience with machine learning, build predictive models, and create a professional portfolio that impresses recruiters and potential employers.

Machine Learning Fundamentals

Master data preprocessing, statistics, linear algebra, and core ML algorithms to understand how models work and make accurate predictions.

ML Tools & Techniques

Learn to use Python, NumPy, Pandas, Scikit-learn, Matplotlib, and other industry-standard tools to implement machine learning solutions.

Portfolio & Project Presentation

Showcase your work through a strong ML project portfolio, receive feedback from mentors, and learn to present your models and results professionally.

Curriculum Overview

Schedule adapts to your selected package.
PhaseTopics
Phase 1Core ML Training – Python Basics, Data Preprocessing, Statistics, Linear Algebra, Supervised & Unsupervised Learning, Model Evaluation
Phase 2Live Project / Internship – Work on real-world ML projects, build predictive models, apply data science techniques, and implement end-to-end ML solutions
CapstonePortfolio Showcase & Placements – Present ML projects, portfolio review, model interpretation, interview preparation, and career guidance

Compare Durations

Each longer track includes everything in the previous one, plus more.

 

DurationFocusProjectsMentorshipPlacementEnroll
6 WeeksFundamentalsMini ML ProjectBasicSupportEnroll Now!
3 MonthsCore + Project1–2 ML ProjectsRegularModerateEnroll Now!
6 MonthsAdvanced ML / Algorithms2–3 ML ProjectsEnhancedStrongEnroll Now!
1 YearTraining + InternshipLive ML + Capstone ProjectPremiumPriorityEnroll Now!

FAQ's

1. What prerequisites are required for this Machine Learning course?

No prior experience is required, but basic knowledge of Python and mathematics (algebra, statistics) will be helpful.

2. Which programming languages and tools will I learn?

You will primarily use Python, along with libraries like NumPy, Pandas, Matplotlib, Scikit-learn, and tools like Jupyter Notebook.

3. Will I work on real-world projects?

Yes, the course includes live projects and a capstone project where you will build predictive models and ML solutions on real datasets.

4. Do you provide placement support?

Yes, we provide career guidance, resume building, interview preparation, and access to our alumni network for job opportunities.

5. Can I pursue this course alongside a full-time job?

Absolutely! The course offers flexible schedules, recorded sessions, and online support so you can learn at your own pace.

Upcoming Batches – Join the Next Wave of Learners!

New batches starting soon, Limited seats available — secure your spot today and step into your future!
Call Us +91 9872755449

Limited Seats!

Batches starting soon