A non-technical introduction to AI and its buzz words

A beginner’s guide to understanding the buzz words -AI, Data Science, ML, Deep Learning, NLP, Computer Vision etc

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A non-technical introduction to AI and its buzz words

What You Will Learn!

  • Understand AI and its buzz words - Data Science, Machine Learning, Deep Learning, NLP, Computer Vision, etc.
  • Understand different steps of model training like data collection, choosing model, training a model and deploying the model to the production environment, etc
  • Get equipped to work with an AI team coming from a non-technical background. eg: HR, Product Manager, CEO, etc
  • Understand AI jargon and be ready to learn on the go.

Description

This short course focuses on introducing artificial intelligence and all its buzz words to the audience in a non-technical manner.

This is the first of its kind online course taught by realistic AI avatars !!!

As an HR, Product Manager, or CEO you might interact with AI teams and AI terms on a day-to-day basis.

This course demystifies all the buzz words and explains them in layman terms.

You will feel confident to work with AI teams and understand the AI jargon.

There are no prerequisites to take this course. Just bring in your enthusiasm to learn.


The course outline is shown below :

➤ What is Artificial Intelligence (AI) and its various applications?

➤ What is data science and what are the different components of it?

Machine learning (ML) and its components like supervised learning, unsupervised learning, and reinforcement learning.

Deep learning (DL) and the special focus of it inside Machine learning.

➤ What is Computer vision (CV) and its various applications?

➤ What is natural language processing (NLP) and its various applications?

➤ Model training and model deployment.

➤ Different steps of model training like data collection, data preparation, choosing a model, training a model, evaluating a model, tuning the hyperparameters of a model, and deploying the model to the production environment, etc.

Who Should Attend!

  • Non-technical audience who want to understand AI and its various components.

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Tags

  • Artificial Intelligence

Subscribers

25

Lectures

20

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