Data Science and AI programs with hands-on learning and live interaction.
This training stream includes hackathons, masterclasses, webinars, and Ask-Me-Anything sessions. Learners get practical exposure to R, Python, Machine Learning, Tableau, Hadoop, and Spark while building knowledge alongside practitioners and ML engineers.

Machine Learning
Machine Learning Online Course helps you build ML algorithms in Python and R for accurate predictions with 20+ hands-on projects.
The course develops skills in linear regression, polynomial regression, and multivariate regression through real-life projects. It is structured to help learners build strong machine learning models and grow into capable ML engineers who can solve complex problems.
Tools Used

Data Science
This Data Science course is certification oriented and built with real-world projects, live support, and placement-focused learning.
It helps learners master statistics, Python, Machine Learning, SQL, Excel, AI, Tableau, Hadoop, and Spark through hands-on classes. The program is designed to help students become highly skilled and qualified Data Scientists.
Tools Used
.png)
Data Science with Python
Data Science with Python training builds mastery in Python libraries used for analytics and machine learning.
The training covers Numpy, Pandas, Matplotlib, Seaborn, Plotly, Scikit-Learn, and SciPy with hands-on projects. It also provides in-depth understanding of statistics, math, and Python programming for building prediction models in real-time scenarios.
Tools Used

Deep Learning
Deep Learning certification training with TensorFlow is designed around current industry demands and practical model building.
The course helps learners understand deep learning models, autoencoders, neural networks, SoftMax, Restricted Boltzmann Machines, and Keras technology, giving them a strong foundation in one of the most promising AI segments.
Tools Used
.png)
Artificial Intelligence
Artificial Intelligence training helps you build powerful AI algorithms with deep learning and applied real-world projects.
The course improves machine learning, deep learning, TensorFlow, Data Science, artificial neural networks, Keras, and recurrent neural network skills. It is designed to help learners build and implement AI models for business solutions with expert-led hands-on classes.
Tools Used
.png)
