AIML Data Science

AI & Machine Learning
Mastery Program

Master the skills of the future with our industry-leading methodology in tech, design, and business.

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AI Robotics

Prepare for the
AI Era

Master the skills of the future with Nolanix in AI, Machine learning, Data Science and Robotics.

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AI Data Science

Your Path to
Robotics

Master the skills of the future with Nolanix in AI, Machine learning, Data Science and Robotics.

Get Started Now Download Brochure
6 Months Intensive bootcamp duration.
Interactive Live sessions with mentors.
Assignments Hands-on weekly challenges.
Capstone Real-world portfolio projects.

Master the Tools

Get hands-on experience with the industry-standard libraries used by top AI researchers and Data Scientists.

Python
NumPy
Pandas
Scikit-Learn
SciPy
Matplotlib
Seaborn
Plotly
TensorFlow
Keras
PyTorch
Flask

Hands-on Projects

Some of the Real-world applications you will build during the final phase of the program.

Cloud Infrastructure

Customer Churn Prediction

Learn to develop model that can predict Customer behaviour based on available data.

EDA Scikit-Learn Python
AI Interface

Handwritten digit recognition

Learn to build model that can recognize Handwritten numbers

Computer Vision MNIST Dataset ML
Large Language Models

Self-driving 2D car simulation

Learn to build models that guides a 2D car to stay on the track.

Tensorflow Reinforcement Learning AI

Program Curriculum

A comprehensive roadmap designed to take you from fundamentals to advanced AI deployment.

  • Python for Data Science (NumPy, Pandas)
  • Linear Algebra & Statistics for ML
  • Data Visualization with Matplotlib & Seaborn
  • Version Control with Git & GitHub
  • Python Coding Basics
  • Data Structures and Collections
  • Object Oriented Programming
  • Introduction to Numpy
  • Descriptive Statistics
  • Probability theory & Distributions
  • Inferential Statistics
  • Hypothesis testing
  • Introduction to Pandas
  • Data Collection and Preprocessing
  • Plotting and Visualization
  • Exploratory Data Analysis
  • Introduction to Scikit-Learn
  • Linear and Logistic Regression
  • Training and Evaluating ML models
  • Introduction to Perceptrons
  • Regression and Multi-Class Classification
  • K-Nearest Neighbours algorithm
  • Support Vector Machine
  • Introduction to Decision Trees
  • Bagging Algorithms
  • Boosting Algorithms
  • Stacking Techniques
  • Voting Techniques
  • K-Means Clustering
  • Hierarchical and Agglomerative Clustering
  • Dimensionality Reduction with PCA
  • Anomaly Detection
  • Feature creation and Transformation
  • Data Resampling Techniques
  • Model selection and Hyperparameter tuning
  • Cross validation
  • Introduction to Artificial Neural Networks
  • Backpropagation and Optimization algorithms
  • Introduction to TensorFlow
  • Convolutional Neural Networks
  • Q Learning
  • Deep Reinforcement Learnings
  • Policy-Based methods
  • Temporal Difference Learning
  • Model Deployment
  • Introduction to Containerization
  • Introduction to DevOps and MLOps
  • Version control and CI/CD Pipelines

Why Choose Us

We don't just teach tools; we build the mindset required to thrive in the world's most innovative companies.

Get Expertise

Learn deep understanding on how the AI and machine learning models works. And how to implement them on a production scale.

Real-World Projects

Build scalable architectures and AI models that solve actual business problems for your portfolio.

Get weekly live sessions

Join mentors for weekly live sessions, along with your cohorts.

Professional Certificate

Get Certified

Receive a verified digital certificate upon completion that you can share with your network and future employers.

  • LinkedIn Integrated Credentials
  • Verifiable Serial ID
  • Lifetime Validity
Start Your Journey

Common Questions

Everything you need to know about our learning methodology, certification, and flexible scheduling.

This course is designed for both students and working professionals.

This course is beginner friendly, No prior Programming skills necessary.

Absolutely. All content is available 24/7 once you enroll, allowing you to balance learning with your existing schedule.

Yes, upon successful completion of all assignments and the capstone project, you will receive a verified digital certificate.

Got more questions?

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