What is AI?

AI refers to “robots, computers, and other machines with a humanlike ability to reason and solve problems” (McPherson, 2018, p. 4). Artificial intelligence is the theory and development of computer systems that are able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.

Artificial intelligence makes it possible for machines to learn from experience, adjust to new inputs, and perform human-like tasks. Most AI examples that you hear about today—from chess-playing computers to self-driving cars—rely heavily on deep learning and natural language processing.

AI Course Content

Modules

  • • Module 1 – Preparatory Classes on Python for AI & ML and Linux
  • • Module 2 – Git and GitHub
  • • Module 3 – Python with Data Science
  • • Module 4 – Data Wrangling with SQL
  • • Module 5 – Story Telling
  • • Module 6 – Machine Learning Models for Selection and Tuning
  • • Module 7 – Machine Learning & Prediction Algorithms
  • • Module 8 – Advanced Machine Learning
  • • Module 9 – Software Engineering for Data Science
  • • Module 10 – Data Science at Scale with PySpark
  • • Module 11 – Artificial Intelligence and Deep Learning with TensorFlow
  • • Module 12 – Natural Language Processing
  • • Module 13 – Image Processing and Computer Vision
  • • Module 14 – Deployment of Machine Learning Systems to Production
  • • Module 15 – Work with Large Datasets
  • • Module 16 – Data Visualization with Tableau
  • • Module 17 – Capstone Project
  • • Module 18 – Data Science with R
Scroll to Top