Industry-Aligned Curriculum
Gain practical mastery of Machine Learning concepts matching modern production standards.
Data & AI
Machine Learning
Build Predictive Models from Data
Learn the fundamentals of Machine Learning and understand how computers learn patterns from data to make predictions and decisions.
Build a practical foundation in data preprocessing, feature engineering, supervised and unsupervised learning, model training, evaluation, and prediction using Python and Scikit-learn.
ConsivoX Certified
16 Modules • Live Mentorship
Course Highlights
Duration
16 – 32 Hours
Learning Tracks
Foundation • Professional • Advanced
Level
Beginner to Advanced
Curriculum Scope
16 Modules • Live Mentorship
Practical Focus
Hands-On Case Studies & Labs
Hands-On
Live & Capstone Development
Outcome
Real-World Production Projects
Credential
Certificate of Completion
Core Outcomes
Key CompetenciesWhat You'll Learn
Machine Learning fundamentals
ML workflow and problem formulation
Python for Machine Learning
NumPy and Pandas
Data preprocessing
Missing-value handling
Why Learn Machine Learning?
Machine Learning enables computer systems to learn patterns from data and use those patterns to make predictions, classifications, and decisions.
Hands-On Project Building
Develop production-grade applications and case studies directly for your professional portfolio.
Career & Interview Readiness
Acquire the technical confidence and problem-solving skills required for high-impact roles.
FLEXIBLE FORMATS
Machine Learning — Modes of Learning
Choose the learning mode that fits your schedule, lifestyle, and career goals with hands-on practice built in.
16 Hours
Foundation
₹5,500 • 16 Hours
Master essential foundations with live instructor-led sessions, 6-month LMS access, and core learning materials.
16+ Hours of Live Instructor-Led Sessions
LMS Access for 6 Months
Course Materials & Learning Resources
Most Popular
Professional
₹7,500 • 24 Hours
Elevate your practical skills with 1:1 doubt clearing sessions, dedicated mentor support, and extended lab work.
24+ Hours of Live Instructor-Led Sessions
One-on-One Doubt Clearing Sessions
LMS Access for 6 Months
Dedicated Mentor Support
Career Track
Advanced
₹9,000 • 32 Hours
Comprehensive career masterclass featuring extensive live sessions, 1:1 mentor syncs, interview prep, and placement guidance.
32+ Hours of Live Instructor-Led Sessions
One-on-One Doubt Clearing Sessions
LMS Access for 6 Months
Dedicated Mentor Support
Placement Guidance
Interview Assistance
STRUCTURED ROADMAP
Machine Learning Curriculum
Step-by-step learning progression designed for practical mastery, from fundamentals to production-ready deployment.
16 Modules16+ Hours Live & Hands-On
Key Concepts Covered:
- What is Machine Learning?
- AI vs Machine Learning vs Deep Learning
- Types of Machine Learning
- Machine Learning Applications
- Machine Learning Workflow
Key Concepts Covered:
- Python Fundamentals for ML
- Variables and Data Types
- Conditions and Loops
- Functions and Data Structures
- NumPy & Pandas Introduction
Key Concepts Covered:
- Understanding Datasets
- Features and Target Variables
- Loading Datasets
- Exploring Data Structure
- Data Types and Distributions
Key Concepts Covered:
- Data Quality and Preparation
- Handling Missing Values
- Removing Duplicates
- Data Transformation
- Preparing Data for Modeling
Key Concepts Covered:
- What are Features?
- Feature Selection
- Feature Transformation
- Categorical Encoding
- Feature Scaling
Key Concepts Covered:
- Training Data
- Testing Data
- Train-Test Split
- Model Training Workflow
- Generalization Concept
Key Concepts Covered:
- What is Regression?
- Regression Problems
- Linear Regression
- Features and Target Variables
- Making Predictions
Key Concepts Covered:
- Regression Model Workflow
- Prediction Errors
- Mean Absolute Error
- Mean Squared Error
- Evaluating Regression Models
Key Concepts Covered:
- What is Classification?
- Binary vs Multi-Class Classification
- Logistic Regression
- Decision Tree Classifier
- Making Class Predictions
Key Concepts Covered:
- Classification Predictions
- Confusion Matrix
- Accuracy
- Precision and Recall
- F1-Score
Key Concepts Covered:
- What is Unsupervised Learning?
- Labeled vs Unlabeled Data
- Clustering Fundamentals
- K-Means Clustering
- Cluster Interpretation
Key Concepts Covered:
- Choosing an ML Algorithm
- Comparing Model Performance
- Overfitting and Underfitting
- Bias and Variance Concepts
- Improving Model Performance
Key Concepts Covered:
- Introduction to Scikit-learn
- Dataset Preparation
- Model Implementation
- Training and Prediction
- Model Evaluation
Key Concepts Covered:
- End-to-End ML Workflow
- Data Preparation Pipeline
- Avoiding Data Leakage
- Reproducible Experiments
- Model Documentation
Key Concepts Covered:
- Problem Definition
- Dataset Preparation
- Feature Engineering
- Model Training & Evaluation
- Prediction and Result Analysis
- Project:
- Customer Churn Prediction System
- Build a machine learning model that predicts whether a customer is likely to leave a service based on historical customer information.
Key Concepts Covered:
- End-to-End ML Workflow
- Model Selection Problem Solving
- Model Performance Interpretation
- ML Project Presentation
- Machine Learning Career Roadmap
Everything You Need to Master Machine Learning
Comprehensive technical foundation, modern tooling, and production workflows packed into a focused, hands-on curriculum.
ML Fundamentals
Master core Machine Learning principles, scalable architectures, and practical techniques.
Python for ML
Understand the concepts, workflow, types, and applications of Machine Learning.
Data Preprocessing
Use Python and essential libraries to work with datasets and machine learning models.
⚙ Feature Engineering
Learn how to clean, transform, and prepare datasets for machine learning.
Regression
Understand feature selection, transformation, encoding, and scaling.
Classification
Build introductory regression models for predicting continuous values.
Real-World Projects You'll Build
Build production-grade applications that demonstrate your skills to engineering recruiters and hiring managers.
Capstone SpotlightData & AI Project
House Price Prediction
Build
Key Features:
- A regression model that predicts house prices using property-related features.
- Dataset preparation
- Feature selection
- Data preprocessing
- Regression model
- Prediction and evaluation
Machine LearningConsivoXPortfolio
Production ReadyProject 02Data & AI Project
Customer Churn Prediction
Build
Key Features:
- A classification model that predicts whether customers are likely to leave a service.
- Customer data preprocessing
- Feature engineering
- Classification model
- Confusion matrix
- Precision/recall analysis
Machine LearningConsivoXPortfolio
Production ReadyProject 03Data & AI Project
Customer Segmentation
Build
Key Features:
- A clustering system that groups customers based on their characteristics or behavior.
- Dataset preparation
- Feature scaling
- K-Means clustering
- Cluster analysis
- Customer group interpretation
Machine LearningConsivoXPortfolio
Production ReadyProject 04Data & AI Project
Student Performance Prediction
Build
Key Features:
- A machine learning model that predicts student performance based on relevant academic and behavioral features.
- Data preprocessing
- Feature analysis
- Model training
- Prediction
- Performance evaluation
Machine LearningConsivoXPortfolio
Production ReadyOFFICIAL CREDENTIALS
Government Recognized Industry Certification
Earn authentic, verifiable credentials recognized by industry leaders and verified via Startup India, MSME, and the Ministry of Corporate Affairs.
TIER 01 • Silver PerformerSilver Performer
Silver Certificate
Validates core engineering fluency, active internship engagement, and successful project submissions.
100% completion of course modules & domain internship tasks
Practical evaluation across live project milestones
Code submissions reviewed and approved by mentors
Unique QR code verification valid for lifetime authentication
Verified Internship Credential & LinkedIn Badge
View Full Certificate
Official QR & Govt. AccreditedClick to Enlarge
Government & Corporate Recognition
Accredited under Startup India, MSME, and Ministry of Corporate Affairs.
Verifiable Dynamic QR Code
Instant online validation for recruiters and hiring managers.
LinkedIn One-Click Integration
Seamlessly showcase verified credentials on your professional profile.