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Transform Your Career in Machine Learning

Certification
Program in

Foundational Machine Learning

Build a strong foundation in Machine Learning with a beginner-friendly curriculum covering Python for ML, statistics, data preprocessing, supervised & unsupervised learning, evaluation methods, model tuning, and real-world ML applications — guided by industry mentors.

100%
Job Assurance
Online/Offline
Program Mode
2 Hours
Daily Efforts
3 Months
Program Duration

About the FML Program

The Foundational Machine Learning (FML) program is designed for beginners who want to build strong expertise in machine learning. This program covers essential ML concepts, hands-on implementation, real datasets, algorithms, and model-building skills needed to start your career in AI & ML.

Beginner-Friendly Curriculum

Start your ML journey with clear explanations, visuals, and step-by-step foundational concepts.

Learn Core ML Algorithms

Understand supervised & unsupervised learning, regression, classification, clustering, and evaluation metrics.

Hands-On Coding Practice

Implement ML models in Python using Scikit-Learn, Pandas, NumPy, and real-world datasets.

Career Assistance

Get resume guidance, portfolio-building support, ML interview prep, and job assistance.

2 Months

Foundational ML Program

40+

Hours of Learning

8+

Projects & Assignments

15+

ML Tools & Libraries

100%

Career Assistance

Why Choose Our Program?

AI-Powered Learning Experience

Learn through an adaptive, AI-enhanced platform with personalized feedback, real-world simulations, and GenAI-based practice.

Placement-Driven Career Support

Get 1:1 career mentoring, resume building, mock interviews, and exclusive job referrals from leading AI and Data Science companies.

Flexible Payment Options — No Hidden Fees

Choose transparent pay-as-you-learn plans and flexible EMIs designed to make quality AI education accessible.

Learn From Industry Experts

Train with IIT faculty, senior AI engineers, and GenAI practitioners working on real enterprise-grade solutions.

Hands-on Learning with Real Projects

Work on deployable AI, ML, and analytics projects using Python, TensorFlow, SQL, and Power BI to build practical expertise.

Collaborative AI Community

Connect with mentors, peers, and AI professionals through hackathons, workshops, and community-driven projects.

Who Should Join?

Perfect for ambitious individuals ready to transform their career

Final-year Students & Freshers

Begin your Data Science and AI journey with beginner-friendly lessons and hands-on projects that help you build a strong first portfolio.

Working Professionals

Advance your career with in-demand AI, ML, and GenAI skills. Learn Python, Power BI, and TensorFlow to unlock new high-growth opportunities.

Non-tech Graduates

Move into the tech industry with structured training in Data Analytics, Machine Learning, and BI tools — no coding experience required.

Career Switchers

Shift into Data Science and AI with guided learning, real-world projects, and expert mentorship designed for a smooth career transition.

Tools and Technologies Covered

Python

NumPy

Pandas

Scikit-Learn

TensorFlow

Keras

PyTorch

MySQL

MongoDB

Jupyter Notebook

Tableau

Power BI

Anaconda

Git

GitHub

Google Cloud

AWS

Kaggle

OpenCV

AI Robotics

Deep Learning

Mathematics

Business Analytics

Course Curriculum

Foundational Machine Learning

Core ML concepts

9 Modules

Supervised ML

Learn supervised learning algorithms and their applications

2 weeks
5 Topics

Learning Objectives

1
Introduction to Supervised Learning
2
Training and Testing Data
3
Model Performance Evaluation
4
Overfitting and Underfitting
5
Cross-validation Techniques

Unsupervised ML

Explore clustering, dimensionality reduction, and pattern discovery

2 weeks
5 Topics

Learning Objectives

1
Clustering Algorithms (K-means, Hierarchical)
2
Principal Component Analysis (PCA)
3
Association Rules
4
Anomaly Detection
5
Market Basket Analysis

Reinforcement Learning

Introduction to reward-based learning systems

2 weeks
5 Topics

Learning Objectives

1
Agent-Environment Interaction
2
Rewards and Penalties
3
Q-Learning Basics
4
Exploration vs Exploitation
5
Simple RL Applications

Parametric Supervised Learning Approaches

Linear and logistic regression techniques

3 weeks
5 Topics

Learning Objectives

1
Linear Regression
2
Multiple Linear Regression
3
Polynomial Regression
4
Logistic Regression
5
Model Assumptions and Diagnostics

Model Evaluation Techniques

Methods to assess and compare model performance

1 weeks
5 Topics

Learning Objectives

1
Types of Errors
2
Confusion Matrix
3
ROC-AUC Curves
4
Precision, Recall, F1-Score
5
Cross-validation Strategies

Decision Trees

Tree-based algorithms for classification and regression

1 weeks
5 Topics

Learning Objectives

1
Entropy and Information Gain
2
Gini Impurity
3
Pruning Techniques
4
Random Forest
5
Decision Tree Visualization

Instance Based Approaches and Dimensionality Reduction

Nearest neighbor algorithms and dimensionality reduction techniques

1 weeks
5 Topics

Learning Objectives

1
K-Nearest Neighbors
2
Distance Metrics
3
K-Means Clustering
4
Principal Component Analysis (PCA)
5
Dimensionality Curse

Data Handling

Data preprocessing and feature engineering techniques

1 weeks
5 Topics

Learning Objectives

1
Null Value Treatment
2
Outlier Detection
3
Feature Engineering and Selection
4
Data Binding
5
Imbalance Treatment

Ethics for Data Science & Model Handling

Ethical considerations and responsible AI practices

1 week
5 Topics

Learning Objectives

1
Bias in Machine Learning
2
Fairness and Transparency
3
Privacy and Data Protection
4
Model Interpretability
5
Responsible AI Guidelines

Your Learning Journey

Complete all sections to become a certified data scientist

9

Foundational ML

🎓

Certification

💼

Job Assurance

Master Communication & Career Readiness

Develop essential professional and personal skills to stand out and succeed in your career journey.

Soft Skills

Develop confidence, leadership, public speaking, emotional intelligence, and interpersonal communication to thrive in team environments and build meaningful relationships.

Interview Skills

Learn to present yourself professionally, answer common and complex interview questions effectively, and make a lasting impression on potential employers.

Resume Building

Create impactful resumes and digital portfolios that showcase your skills, experience, and personal brand, tailored for your target industry.

Group Discussion

Master group communication with active listening, logical structuring, conflict resolution, and assertive yet respectful participation techniques.

Personal Branding

Build a strong professional identity online and offline, understand how to market your unique strengths, and grow your network strategically.

Time Management

Prioritize tasks, set realistic goals, and implement productivity frameworks like Pomodoro and Eisenhower Matrix for efficient daily planning.

Fundamental Machine Learning Course

Learn the core foundations of Machine Learning, including supervised and unsupervised algorithms, model building, and real-world predictive analytics.

Included in Fundamental Machine Learning Course

Fundamentals of Machine Learning

Understand machine learning concepts, supervised & unsupervised learning, and build predictive models using Python and scikit-learn.

Fundamentals of Machine Learning

Let's Get Started

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Your Certificates

Post Graduate Program

Certificate Benefits

Industry-recognized certification
LinkedIn shareable
Resume booster
Career advancement

Success Stories

Akash Goyal

Gap of 2 yearsAI/ML Engineer
@ TCS

It was wonderful to be a part of the journey of being a Data Scientist. Everyone was so kind & helpful. The institute has a positive environment. I am truly blessed to be here. I got to learn a lot.

6.5 LPA

Sakshi Gupta

Fresher (B.Com, MBA)Data Scientist
@ HighNest

In my experience, TheCorrelation's data science program provides thorough training that sets you up for a successful career. The supportive instructors and practical workshops make complex topics easy to grasp. I'm truly grateful for the opportunity to learn here and highly recommend it to anyone looking to excel in data science.

5 LPA

Palak Gangwani

Academics (School Teacher)Data Scientist
@ SketchMyHome.AI

TheCorrelation is the perfect place to kickstart your academic and professional journey. The welcoming atmosphere makes you feel right at home, and the supportive community helps you pave the way for success. With hands-on workshops and expert guidance, you’ll gain the skills and confidence needed to achieve your goals in the world of data science.

5 LPA

Rohit Nagtode

Fresher (Frontend)ML Engineer
@ HighNest

Joining TheCorrelation has transformed how I view the world. I learned to use data for a comprehensive, 360-degree analysis, uncovering true insights beyond surface-level information. This data-driven approach has made me more analytical and informed, providing a deeper understanding of complex issues. The skills and knowledge gained here have been invaluable, enhancing my ability to think critically and make informed decisions.

5 LPA

Shivam Acharya

Mechanical EngineeringData Scientist
@ Cognizant

Coming from a Mechanical Engineering background with 9 years in After-Sales Services and no coding experience, I never imagined transitioning into Data Science. But TheCorrelation’s PGP program made it possible with its practical curriculum and strong mentor support. While working full-time, I upskilled and secured a Data Scientist role at Cognizant with a 50% salary hike. The journey proved that background doesn’t limit growth — mindset does.

19 LPA
Scholarship Banner

Avail Upto 50% Scholarship on Select Courses!

Kickstart your career with our exclusive scholarships and financial aid options designed to support ambitious learners and high-potential professionals.

Our scholarship program is merit-based and aims to identify motivated candidates who demonstrate strong aptitude, commitment, and career focus.

  • • Scholarships are awarded based on a qualifying assessment test
  • • Candidate background and profile verification is mandatory
  • • Limited scholarships available per cohort
  • • Applicable on select Data Science and AI programs

*Scholarship percentage may vary based on performance in the assessment and eligibility criteria.

Your Journey With Us

Step 1

Connect with Our Experts

Schedule a free one-on-one consultation with our experienced mentors. They'll guide you through career possibilities, explain the curriculum structure, and ensure the program aligns with your aspirations.

Step 2

Registration & Profile Evaluation

Complete your registration and submit your profile. Our admission team will thoroughly assess your background, interests, and goals to ensure you're a strong fit for the program.

Step 3

Scholarship Assessment

Participate in an aptitude and profile-based assessment to unlock merit scholarships. This step helps determine your eligibility for financial aid and awards based on your skills and potential.

Step 4

Fee & EMI Options

Explore personalized fee structures and benefit from flexible EMI options tailored to your budget. We'll ensure that finances don't become a barrier to your learning journey.

Step 5

9 Months Curriculum

Dive into an intensive 9-month learning journey featuring live classes, real-world projects, capstones, assignments, and peer learning. Stay industry-ready through hands-on experience.

Step 6

Paid Internship

Apply your skills in real-world environments through our paid internship programs. Work with live clients, solve actual business problems, and build an impressive portfolio.

Step 7

Job Placement & Certification

Get placed in top-tier companies with our 100% job guarantee. Walk away with recognized industry certification and the experience needed to excel in your new role.

The Logic Box

Unlock your potential with our Logic Box! Includes five essential data science books, a task-tracking notebook, a stationery pouch, lemon tea, and a chic mug. Boost your productivity and elevate your daily experience!

Fundamental Machine Learning — Payment Options

Pay Now

₹15,000

One-time full payment

  • Expected Cost: ₹22,000
  • Program Fee: ₹6,000
  • Online classes + recorded sessions
  • Beginner-friendly ML curriculum
Choose Plan

FAQs — Reduce Hesitation

Your success is our goal — from day one to your job placement.