The program is divided into three learning blocks.

  • Learning Block 1 will cover the Foundations of data science, statistics and Python programming, feature engineering and basics of supervised ML.
  • Learning Block 2 will cover the Foundations of Machine Learning – Supervised and unsupervised ML, ensemble models & NLP (Natural Language processing).
  • Learning Block 3 will cover the Foundations of Deep Learning and Domain Exposure (in BFS, Retail and Manufacturing), building ML based solutions.

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