Course Features

  • Lectures 11
  • Quizzes 0
  • Duration 2 day
  • Skill level Mid Level
  • Language English
  • Students 0
  • Assessments Yes


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Course Details

Becoming an Artificial Intelligence Engineer puts you on the path to an exciting, evolving career that is predicted to grow sharply into 2025 and beyond. Artificial intelligence and Machine Learning will impact all segments of daily life by 2025, with applications in a wide range of industries such as healthcare, transportation, insurance, transport and logistics and even customer service. The need for AI specialists exists in just about every field as companies seek to give computers the ability to think, learn and adapt.


Participants get to learn artificial neural networks (ANNs), classification and regression supervised learning, vectorization, a binary classification which will pave the way to become an Artificial Intelligence expert.

Course Objectives

  • For recognizing handwritten digits (MNIST dataset)
  • Simple Spam-Detecting Machine Learning Classifier
  • Modern Face Recognition with Deep Learning
  • Case Study: Cancer Detection, Character Recognition, Iris Clustering
  • Case Study: Intelligent Washing Machine Design
  • Image Segmentation using deconvolution layer
  • Develop a predictive analytics model for a complex dataset

I'm having 15 years of rich experience in corporate training.

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