Smart Professional-Artificial Intelligence and Machine Learning OV-7142

Total 13 Month 

Course Overview

Module Duration (Instruction al Hours) Theory Lab Self-Study Tool/Software
Managing Large DataSets with MongoDB 32 16 16 12 MongoDB 6.x
Application Based Programming in Python 36 18 18 10 Python 3.6.x
Data Science using R Programming 36 18 18 8 R studio 2x or higher
AI Primer 16 16 16 NA
AI Applications of NLP 40 20 20 8 NLP Tools and Libraries
AI and ML with Python 40 20 20 12 Python and related libraries
Applied Machine Learning using Python 40 20 20 12 Python , Jupyter Notebook, Google Collab
Deep Learning using Neural Networks 40 20 20 12 DL APIs and Libraries
Capstone Project-Recommendation Engine and Customer Churn Prediction 40 2 38 DL, NLP . Python and ML tools
Total Hours 320 150 170 90

EXIT PROFILE

AI Developer 

CERTIFICATE NAME

Smart Professional- Artificial Intelligence and Machine Learning

LEARNING OUTCOMES

  • Understand the basics of statistical analysis, descriptive statistics, predictive analytics, probability, and Bayes theorem
  • Gain an understanding of AI
  • Gain knowledge in NLP and learn the use of AI in NLP
  • Use important building blocks of AI ML with Python, make data modelling decisions, interpret output of the algorithms, and validate results
  • Master ML concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands on modeling to develop AI algorithms
  • Master deep learning concepts and TensorFlow open source framework, implement deep learning algorithms, and build ANN
  • Develop a real world Capstone project on recommendation engine and perform customer churn prediction