PG Certificate in Data Science & AI

• PG Certificate from SkillMint

  A verifiable credential with a unique ID, issued when you complete the program.

• Real-world projects

  15+ projects on real datasets

• 22 skills & topics

  Python, SQL, Probability, Inferential statistics and more

• 8 tools you'll use

  Python, SQL, scikit-learn, TensorFlow and more

This PG Certificate is an 11-month, mentor-led path from Python and statistics to machine learning, deep learning and generative-AI applications. You learn in live weekend classes with your cohort, practise on guided assignments every week and finish with an industry-style capstone that you can show in interviews. The program is designed for working professionals: classes are recorded, mentors review your projects, and the career team helps you prepare your résumé, portfolio and interviews.

• Working professionals moving into data science or AI roles
• Software engineers who want to build machine-learning and LLM applications
• Analysts who want to go beyond dashboards into predictive modelling
• Final-year students with a quantitative background

Learning path

• 1Module 1Programming & statistics foundations8 weeks

  8 weeks

  Topics

  • Python
  • SQL
  • Probability
  • Inferential statistics
• 2Module 2Machine learning10 weeks

  10 weeks

  Topics

  • Regression & classification
  • Ensembles
  • Feature engineering
  • Model evaluation
• 3Module 3Deep learning & NLP8 weeks

  8 weeks

  Topics

  • Neural networks
  • Computer vision
  • Transformers
  • NLP pipelines
• 4Module 4Generative AI & LLM apps6 weeks

  6 weeks

  Topics

  • Prompt engineering
  • RAG
  • Agents
  • Responsible AI
• 5Module 5MLOps & deployment6 weeks

  6 weeks

  Topics

  • Model serving
  • Monitoring
  • CI/CD for ML
• 6Module 6Capstone & career8 weeks

  8 weeks

  Topics

  • Industry capstone
  • Portfolio
  • Interview preparation

• Project

  Demand forecasting for a sample retail chain

  Build and evaluate time-series and gradient-boosting models on a sample sales dataset.

• Case study

  Support-ticket classifier

  Train an NLP pipeline that routes sample customer tickets to the right team, and explain its errors.

• Assignment

  Document Q&A assistant

  Create a retrieval-augmented generation (RAG) app over a set of sample policy documents.

• Capstone

  End-to-end ML capstone

  Take a problem from data to a deployed, monitored model and present it to a mentor panel.

• Learn from industry experts

  Mentors include Ananya Rao, Priya Iyer.

• Live, interactive classes

  Scheduled live sessions with your cohort and mentors.

• Mentoring sessions

  Guidance from mentors on assignments, projects and career plans.

• Learning support

  Doubt resolution and help from the program team throughout the cohort.

• Flexible learning

  Designed for 10–12 hrs/week, with recorded lessons you can watch anytime.

• Peer community

  Learn alongside your cohort and stay in touch through the alumni network.

• Learn on any device

  Web, Android and iOS.

Application process

1. Step 1

   Submit application

   Fill in the short form. An admissions advisor reviews your profile against the eligibility criteria.

2. Step 2

   Reserve your seat

   Pay the program fee in full or choose EMI to confirm your place in the cohort.

3. Step 3

   Start learning

   Get onboarded, meet your mentors and begin with the first module.

Admission fee & financing

• Nov 2026

  Cohort

  15 Nov 2026

  Starts

  120 seats left

  Seats

  Open

  Status

  Live, Online, Interactive · 10–12 hrs/week

  Schedule & format

  Apply now

• Do I need a coding background?

  No. The first module covers Python and statistics from scratch, with extra support sessions for non-programmers.

• How are classes delivered?

  Recorded lessons you can watch anytime, plus live weekend classes and doubt-solving sessions that are also recorded.

• Is there placement support?

  Yes — resume and LinkedIn reviews, mock interviews and access to job opportunities through our hiring network. We do not guarantee placement.

• What are the payment options?

  Pay in full, or choose no-cost EMI from select banks and NBFC partners. Scholarships are available for eligible learners.