Post Graduate Certificate Program in Applied Data Science & AI
By E&ICT Academy, IIT Roorkee

Program Partner – CloudxLab

Post Graduate Certificate Pogram in Applied Data Science & AI

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Faculty and Mentors

Prof. ‪Tharun Kumar Reddy

ECE Dept., IIT Roorkee

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Prof. Sanjeev Manhas

ECE Dept., IIT Roorkee

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Mr. Sandeep Giri

Founder, CloudxLab

Mr. Abhinav Singh

Co-Founder, CloudxLab

Mr. Praveen Pavithran

Course Instructor, CloudxLab

About the Course

The PG Certificate Course in Data Science, AI/ML & Data Engineering is an intensive online instructor led course. You will master Machine Learning, Artificial Intelligence, ChatGPT Architecture, Data Engineering, Python, Spark, Hadoop, Classification, Regression, SVM, ANN, Tableau and more.

Additionally, this course comes with our cloud lab access to gain the much needed hands-on experience to solve the real-world problems.

Upon successfully completing the course, you will get the certificate from E&ICT Academy, IIT Roorkee which you can use for progressing in your career and finding better opportunities.

Course Highlights

6 Months of Blended Learning

240 days Cloud Lab Access

Work on about 34+ projects to get hands-on experience

Best In Class Curriculum

Doubt clearing all weekdays

Certificate of Completion by E&ICT Academy, IIT Roorkee

Programming Languages and Tools

and more!

Sample Certificate

Curriculum

Foundation Courses
1. Linux for Data Science
2. Getting Started with Git
3. Python Foundations
4. Machine Learning Prerequisites(Including Numpy, Pandas and Linear Algebra)
5. Getting Started with SQL
6. Statistics Foundations
Course on Machine Learning

1. Machine Learning Applications & Landscape

2. Building end-to-end Machine Learning Project

3. Training Models

4. Classification

5. Support Vector Machines

6. Decision Trees

7. Ensemble Learning and Random Forests

8. Dimensionality Reduction

Course on Deep Learning & Reinforcement Larning

1. Introduction to Artificial Neural Networks

2. Convolutional Neural Networks & Computer Vision

3. Recurrent Neural Networks

4. Natural Language Processing

5. Training Deep Neural Networks

6. Custom Models & Training with Tensorflow

7. Loading & Preprocessing Data with Tensorflow

8. Autoencoders & GANS

9. Reinforcement Learning