AI,  ML & Deep Learning with Python- Self Learning Course

Course Overview

This course has been composed by two expert Data Scientists with the goal that we can share our insight and enable you to learn complex hypothesis, calculations and coding libraries just.

Significant learning addresses its genuine forefront. In this course, you’ll develop a sensible understanding of the motivation for significant learning, and layout vigilant structures that pick up from complex and moreover generous scale datasets.

Manmade brainpower will characterize the up and coming age of programming arrangements. This software engineering course gives a review of AI, and clarifies how it can be utilized to assemble brilliant applications that assistance associations be more proficient and advance individuals’ lives.

Course Objective

Manmade brainpower, Machine Learning and Deep learning strategies are winding up exponentially more vital because of their exhibited accomplishment at handling complex learning issues. In the meantime, expanding access to elite figuring assets and cutting edge open-source libraries are making it more attainable for ventures, little firms, and people to utilize these strategies.

Course Outcome

After the completion of this Training, you ought to have the capacity to:

  • Define Deep Learning
  • Express the inspiration driving Deep Learning
  • Apply Analytical arithmetic on the information
  • Choose between various Deep systems
  • Explain Neural systems
  • Train Neural systems
  • Discuss Backpropagation


This is a moderate to cutting edge level course. Before taking this course, and notwithstanding the essentials and necessities delineated for the Machine Learning Engineer Nanodegree program, you ought to have the accompanying knowledge and aptitudes:

  • Intermediate Programming knowledge (ideally in Python)
  • Basic machine learning information (particularly directed learning)


Do I require a Windows PC to finish the course?

  • No. You can finish the labs utilizing a PC running Windows, Mac OS X, or Linux.

Imagine a scenario in which I miss a class.
You can pick both of the two alternatives:

  •  View the recorded session of the class accessible in your LMS.
  • You can go to the missed session, in some other live group.

Course Curriculum

Curriculum is empty



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