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Foundational Machine Learning course hero - TheCorrelation
Transform Your Career in Machine Learning

Certification
Program in

Foundational Machine Learning

Master Machine Learning from scratch. Learn Python, statistics, supervised and unsupervised algorithms, and model tuning by building real-world ML applications with expert guidance.

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 platform with personalized feedback and GenAI-based practice.

Placement-Driven Career Support

Get 1:1 career mentoring, resume building, and exclusive job referrals from leading 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

Start your AI journey with beginner-friendly lessons and build a strong portfolio.

Working Professionals

Advance your career by mastering in-demand AI, ML, and GenAI skills.

Non-tech Graduates

Transition into tech with structured analytics training—no prior coding experience required.

Career Switchers

Smoothly transition into Data Science with guided learning, real-world projects, and expert mentorship.

Tools and Technologies Covered

Python

NumPy

Pandas

Scikit-Learn

TensorFlow

Keras

PyTorch

MySQL

Jupyter Notebook

Power BI

Anaconda

Git

GitHub

Google Cloud

Kaggle

OpenCV

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.

Personal Branding

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

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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Industry-Recognized Certifications

Post Graduate Program

Certificate Benefits

Industry-recognized certification
LinkedIn shareable
Resume booster
Career advancement

Our Success Stories

Real people, real transitions — from diverse backgrounds to top data roles.

Pranjal Sharma – Data Science Professional

Pranjal Sharma

BPO Background

Data Science ProfessionalOffice Solution, Gurgaon

"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."

Ram Tiwari – Data Science Professional

Ram Tiwari

B.Tech Student

Data Science ProfessionalVisko, Indore

"In my experience, TheCorrelation's data science program provides thorough training that sets you up for a successful career."

Sahil Ansari – Data Science Professional

Sahil Ansari

Fresher

Data Science ProfessionalOffice Solution, Gurgaon

"TheCorrelation is the perfect place to kickstart your academic and professional journey. With hands-on workshops and expert guidance."

Rohit Nagtode – Data Science Associate

Rohit Nagtode

BSC Graduate (Former React Developer)

Data Science AssociateHighNest (Cadify)

"Joining TheCorrelation has transformed how I view the world. I learned to use data for a comprehensive, 360-degree analysis."

Palak Gangwani – Data Scientist

Palak Gangwani

B.Com & M.Com (Teaching Background)

Data ScientistHighNest (Cadify)

"TheCorrelation's PGP program helped me reinvent my career completely. From a classroom teacher to a Data Scientist — I never thought this was possible."

Akash Goyal – AI ML Engineer

Akash Goyal

BE (IT) Graduate with 2-Year Employment Gap

AI ML EngineerTCS, Indore

"Hands-on projects and mentoring helped me turn my career gap into a launchpad. TheCorrelation gave me the confidence and skills I needed."

Sakshi Gupta – Data Science Associate

Sakshi Gupta

MBA (Commerce Background)

Data Science AssociateHighNest (Cadify)

"Transitioning from a commerce background to working on live AI projects felt impossible at first. TheCorrelation made it very real, very fast."

Arpan Mahobiya – Data Science Professional

Arpan Mahobiya

B.Tech Electronics Engineering

Data Science ProfessionalBI Hub, Gurgaon

"The program bridged the gap between my engineering background and real-world data science skills. I finally found the right direction for my career."

Nikhil Patel – Data Science Professional

Nikhil Patel

Fresher

Data Science ProfessionalBitvivid Solution

"I never thought I could break into Data Science as a fresher. TheCorrelation helped me build the skills and the confidence to make it happen."

Hardik Kardam – AI/Data Science Professional

Hardik Kardam

Backend Developer

AI/Data Science ProfessionalHighwatch.ai, Indore

"Up-skilling in AI and Data Science gave me the boost I needed. My backend experience combined with new ML skills opened doors I didn't even know existed."

Shivam Acharya – Data Scientist

Shivam Acharya

Mechanical Engineering (Deputy Manager, 9 Years)

Data ScientistCognizant

"I was a Deputy Manager with 9 years of experience and zero coding knowledge. TheCorrelation's program showed me it's never too late. Today I'm a Data Scientist at Cognizant."

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 consultation with our mentors to align your career goals with our curriculum.

Step 2

Registration & Profile Evaluation

Submit your profile. Our team will evaluate your background to ensure the best program fit.

Step 3

Eligibility & Scholarship Assessment

Take an aptitude assessment to determine program eligibility and explore scholarship opportunities.

Step 4

Fee Structure & EMI Options

Get a personalized fee structure with flexible EMI options to make your education accessible.

Step 5

Industry-Aligned Learning Experience

Learn through live sessions, hands-on projects, and real-world case studies designed by industry experts.

Step 6

Practical Exposure & Skill Building

Build job readiness through capstone projects and guided practical applications.

Step 7

Career Support & Certification

Receive dedicated placement support, resume building, and an industry-recognized certification.

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

₹22,000

One-time full payment

  • Program Fee: 11,000/Month
  • 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.