Python, Github, Google Colab
60 hours theory, 90 hours lab
Python, Github, Google Colab
60 hours theory, 90 hours lab
Python, Github, Google Colab, Google Cloud, Google Data Studio, Google Cloud Platform, Scikit, TensorFlow
60 hours theory, 90 hours lab
The learners will deeply gain skills, knowledge, and expertise in applied AI, data science, and machine learning.
3 Months / Certification
The learners will implement data science for real-world applications on google cloud, and develop advanced computing skills.
Six (6) Months
The learners will specialize in data science industrial solutions for health, energy, oil& gas, and retail.
Nine (9) Months
Working with various data sets and Developing foundational data, big data, and IIoT skills.
Three (3) Months
Learners will design and develop data architecture, model, Lakehouse, data mesh, collection, preparation, and provision.
Six (6) Months
On Google Cloud, implement data Lakehouse and an “end-to-end” use case for health and energy data solutions
Nine (9) Months
Learn and master various cloud products and services
Three (3) Months
Design and develop data science, machine learning, data analytics applications on Multicloud-Google and AWS.
Six (6) Months
Implement “end-to-end” data science and data analytics use cases on Multi-cloud infrastructure- Google and AWS.
Nine (9) Months