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Transform raw data into powerful, predictive intelligence. Learn from industry experts and build production-ready ML models that solve real-world business problems using Python.
Topics: supervised & unsupervised learning, regression, classification, clustering, model evaluation, feature engineering, hyperparameter tuning, ensemble methods, time series, and ML model deployment.
The ML industry is booming with unprecedented growth, lucrative opportunities, and high job satisfaction rates. Our Machine Learning and AI training program helps you build a future-proof career as a Machine Learning Engineer, Data Scientist, or AI Engineer by combining hands-on projects, real business case studies, and job-ready skills recruiters actively search for.
Learn industry-standard tools such as Python, Scikit-learn, TensorFlow, Keras, Pandas, NumPy and core concepts like supervised learning, unsupervised learning, regression, classification, model evaluation, feature engineering and deployment of ML models so you can work on production-grade AI and ML projects from day one.
25%
2020-2030
101,000+
In India
9 LPA
ML Engineer
14+
Industry Experience
75%
Professionals report high job satisfaction in ML roles
32%
India's growing share in the global ML market
Machine Learning Course in India, AI and Machine Learning Certification, ML Engineer jobs for freshers, 9 LPA Machine Learning Engineer Salary, Career-focused ML and AI training, Offline and online machine learning classes.
Companies across finance, healthcare, e-commerce, cybersecurity, ed-tech and marketing are investing heavily in Machine Learning engineers and AI specialists to automate decisions, personalise user experiences and unlock insights from big data. Our job-oriented Machine Learning course in India bridges the gap between theory and real-world deployment so you can confidently apply for ML Engineer, Data Scientist, AI Engineer and ML Ops roles.
Machine Learning Course in India • Artificial Intelligence and Machine Learning Training • Machine Learning Engineer Salary for Freshers • ML Engineer Jobs • Data Science and Machine Learning Certification • Python and Scikit-learn Course • Deep Learning and Neural Networks Training • Job-Oriented ML Program with Placement Assistance.
A mentor-led, job-ready journey through Python, Data Visualization, Statistics & Probability, and Machine Learning - built around hands-on labs and real portfolio projects.
machine learning course, data science with Python, statistics and probability, data visualization, ML algorithms, portfolio projects, placement assistance, Mumbai
This Hero Program blends theory with practice so you can confidently analyze data, build models, and ship real demos. You’ll learn to structure datasets, visualize insights, apply statistical reasoning, and implement machine learning algorithms in Python. Each module ends with a guided mini-project and code review to ensure you’re job-ready for data-driven roles.
Career Paths
Data Analyst • ML Engineer • Data Scientist
Toolchain
Python • NumPy • Pandas • scikit-learn
Deliverables
3+ portfolio projects with docs & demos
Includes mentor guidance, interview prep, resume & LinkedIn polishing, and placement assistance for relevant roles.
*Outcomes depend on practice, project quality, and interview performance.
A structured 45-hour program covering foundational concepts to advanced ML algorithms with real-world applications.
Data Preprocessing & Cleaning
Regression Analysis
Classification Algorithms
Model Evaluation & Validation
Unsupervised Learning
Feature Engineering
Hyperparameter Tuning
Real-world Project Implementation
Model Deployment
Learn industry-standard tools and frameworks used by leading companies worldwide.
🐍
Python
📊
NumPy
🐼
Pandas
📈
Matplotlib
🎨
Seaborn
🤖
Scikit-learn
⚡
TensorFlow
🧠
Keras
🔥
PyTorch
🚀
XGBoost
🗄️
SQL
📊
Power BI
📉
Tableau
📊
Plotly
📋
Excel
📓
Jupyter Notebook
🔗
Git & GitHub
🐳
Docker
☁️
AWS/Cloud
🔌
APIs
Industry Standard
Used by Fortune 500 companies and leading tech organizations worldwide.
High Demand
Employers actively seek professionals proficient in these tools and frameworks.
Future-Ready
Stay ahead with constantly updated tools and emerging technologies in ML.
Foundation and basics of tools and frameworks
Practical implementation and real-world applications
Expert-level proficiency and optimization techniques
A structured journey from inquiry to becoming a market-ready machine learning engineer with industry expertise.
STEP 1
Initial consultation and course exploration
STEP 2
Start your machine learning journey
STEP 3
Master Python, ML tools & technologies
STEP 4
Build your portfolio with real projects
STEP 5
Prepare for your dream role
STEP 6
Launch your successful career
STEP 1
Initial consultation and course exploration
STEP 2
Start your machine learning journey
STEP 3
Master Python, ML tools & technologies
STEP 4
Build your portfolio with real projects
STEP 5
Prepare for your dream role
STEP 6
Launch your successful career
STEP 1
STEP 2
STEP 3
STEP 4
STEP 5
STEP 6
Complete Your Journey In
45 Hours
Structured training spread across 7 comprehensive modules with real-world projects, expert mentorship, and guaranteed job support.
Work on industry-relevant projects across multiple domains to build a portfolio that impresses employers.
Build a machine learning model to predict disease outbreaks based on patient data including symptoms and demographics.
OBJECTIVE
Improve early detection and optimize resource allocation using Python-based predictive models.
SKILLS LEARNED
Develop a fraud detection system using machine learning to analyze transaction data and identify suspicious activities.
OBJECTIVE
Enhance security measures and protect customer assets through intelligent anomaly detection.
SKILLS LEARNED
Create a predictive model to identify customers likely to churn and implement retention strategies.
OBJECTIVE
Reduce customer attrition and improve customer lifetime value through proactive interventions.
SKILLS LEARNED
Build a recommendation system that suggests products based on user behavior and preferences.
OBJECTIVE
Increase sales and customer satisfaction through personalized product recommendations.
SKILLS LEARNED
Develop a system to predict equipment failures before they occur to minimize downtime.
OBJECTIVE
Reduce maintenance costs and improve operational efficiency through predictive analytics.
SKILLS LEARNED
Create a system to analyze and classify sentiment from social media posts and customer reviews.
OBJECTIVE
Monitor brand perception and customer satisfaction in real-time across platforms.
SKILLS LEARNED
Projects based on real-world business problems and industry requirements.
Write production-grade code and deploy models using best practices.
Create impressive portfolio pieces to showcase to potential employers.
This comprehensive ML program is designed for learners at various stages of their career journey.
🚀
If you have basic Python or programming skills and want to transition into machine learning, this course is perfect for you.
🎓
Perfect for students, developers, and analysts looking to master ML with Python and build a strong career foundation.
🔄
Professionals in technology, healthcare, finance, retail, or research looking to transition into data science and AI roles.
💼
Individuals looking to upskill and stay competitive in the rapidly evolving machine learning and AI landscape.
Understanding of Python syntax, variables, loops, and functions
EssentialBasic knowledge of algebra, calculus, and statistics is beneficial
HelpfulAbility to think logically and solve problems systematically
EssentialWillingness to learn and practice consistently throughout the course
EssentialNote: Don't worry if you lack some prerequisites! Our course includes foundational modules to help you catch up. However, basic Python knowledge is essential to keep pace with the curriculum.
Strong foundation in Python programming
Curious about machine learning and AI
Willing to dedicate 45 hours to learning
Eager to work on real-world projects
Committed to career growth in data science
Able to participate in interactive sessions
📚
Learning Focused
Committed to continuous improvement
🎯
Goal Oriented
Clear career aspirations in ML/AI
⏰
Time Committed
Able to dedicate 45 hours to learning
🤝
Collaborative
Open to feedback and peer learning
Explore lucrative career opportunities and roles you can pursue after completing the program.
🤖
9-15 LPA
📊
8-14 LPA
📈
6-10 LPA
💼
7-12 LPA
💻
10-16 LPA
👁️
10-15 LPA
🎯
8-13 LPA
🔬
12-18 LPA
📁
Build a standout portfolio and network to showcase your skills and projects.
📝
Our experts will update your resume with the latest skills and projects.
🔗
Boost your professional LinkedIn profile by adding your certifications.
🌐
Update your profiles on job portals like Naukri, Indeed, and Foundit.
🎤
Intensive interview preparation from Day 1 to prepare for technical interviews.
✅
Industry experts conduct SWOT analysis and provide feedback on performance.
🚀 Launch Your Career Journey
Get our support to secure your ideal role and kickstart your professional path in machine learning.
🏢
🏢
Microsoft
🏢
Amazon
🏢
Apple
🏢
Meta
🏢
Tesla
🏢
IBM
🏢
Adobe
🏢
Accenture
🏢
Infosys
🏢
TCS
🏢
Wipro
25%
Market Growth
Expected growth in ML jobs 2020-2030
101,000+
Job Vacancies
Currently open positions in India
500+
Successful Placements
From our training programs
Find answers to common questions about our Machine Learning program, enrollment, and career support.
The Master Program in Machine Learning Algorithms using Python Programming is a comprehensive 45-hour course. The training is structured across 7 modules with a mix of lectures, hands-on projects, and assessments.
Our team is here to help! Reach out to us through any of the following channels and we'll be happy to assist you.
