• Designed for Working Professionals
• Advanced Certificate from IIIT Bangalore
• No Cost EMI Options available
• Exclusive Job opportunities Portal
• AI Powered Profile Builder
• Industry Readiness Assessments
• Career Bootcamp
• 5+ Industry Projects, Case Studies & Assignments
• 240+ Hours of Learning
• Career Mentorship Sessions(1:1)
• High Performance Coaching(1:1)
• Just-in-Time Interviews
• Personalised Industry Session
• Student Support is available 7 days a week, 24*7 for non-academic queries You can write to us via studentsupport@upgrad.com Or for urgent queries, use the "Talk to Us" option on the Learn platform.

Top Skills You Will Learn

Machine Learning, Deep Learning, Computer Vision, Cloud, Neural Networks

Minimum Eligibility

Bachelor's/Master’s degrees in Computer Science/Engineering/Math/Statistics/ Economics/Science with a minimum of 50% marks in graduation. No work experience required.

Syllabus covered

Pre-Program Preparatory Content

1. Introduction to Python
2. Python for Data Science
3. Data Visualisation in Python
4. Data Analysis Using SQL
5. Advanced SQL & Best Practices
6. Data Analysis in Excel
7. Analytics Problem Solving
8. Math for Machine Learning

Statistics and EDA

1. Exploratory Data Analysis
2. Cloud Essentials: Intro to Git and Github
3. Inferential Statistics
4. Hypothesis Testing
5. Lending Club Case Study

Machine Learning I

1. Linear Regression
2. Linear Regression Assignment
3. Logistic Regression
4. Naive Bayes
5. Module Selection
6. Tools Covered

Machine Learning - II

1. Advanced Regression
2. Advanced Regression Assignment
3. Support Vector Machine (Optional)
4. Tree Models
5. Model Selection - Practical Considerations
6. Boosting
7. Unsupervised learning: Clustering
8. Unsupervised Learning: Principal Component Analysis
9. Telecom Churn Case Study
10. Tools Covered

Deep Learning

1. Introduction to Neural Networks
2. Convolutional Neural Networks -Industry Applications
3. Convolutional Neural Networks - Assignment
4. Recurrent Neural Networks
5. Neural Networks Project - Gesture Recognition
6. Tools Covered