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Artificial Intelligence, Machine Learning, Deep Learning used in the business and Industry.

person icon Shripad Ramakant Vaidya

4

Artificial Intelligence, Machine Learning, Deep Learning used in the business and Industry.

Case studies from multiple industries such as Retail, Railways, Pharma, Insurance, Banking, Hospitality, Beverages, Real Estate, Factory warehouse etc.

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Shripad Ramakant Vaidya

English [CC]

category icon Development,Artificial Intelligence,Data Science

Lectures -32

Duration -1.5 hours

4

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Course Description

In the contemporary period of gigantic volumes and multi-regional global business internet reach, the new innovative technologies such as Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) have a significant importance in the global business.

This is a basic awareness level course with case studies and academic view from multiple industries such as Retail, Railways, Pharma, Insurance, Banking, Hospitality, Beverages, Real Estate, Warehouse etc

Industry AI, ML and DL technologies have benefited immensely as these tech-themes have generated superlative benefits such as 

  • Cost Reduction
  • Revenue Growth
  • Brand Proliferation
  • Phenomenal Customer experience 
  • Generating Complex Business solutions with speed and accuracy

Goals

What will you learn in this course:

  • Basic understanding of AI, ML, DL
  • Preconditions of using AI, ML, DL
  • Which industry life cycle it covers?
  • Industry benefits of using AI, ML, DL case study includes companies such as Amazon, GM, Coca-Cola, Pepsi, BBVA Bank, Covid19 Vaccine by all pharma companies
  • Industry case studies from multiple industries such as Retail, Railways, Pharma, Insurance, Banking, Hospitality, Beverages, Real Estate, Warehouse etc
  • Academic view of AI, ML and DL from technology perspective including Front-end View with AI background, Various Task Executed by AI and Few illustrative Tech Terms used in AI concept including NLP, Neural Network, Supervisory Learnings etc.

Prerequisites

What are the prerequisites for this course?

  • No such perquisite
Artificial Intelligence, Machine Learning, Deep Learning used in the business and Industry.

Curriculum

Check out the detailed breakdown of what’s inside the course

Course Pre-read
2 Lectures
  • play icon Intro video 01:04 01:04
  • play icon Browse for a minute before you start this course 00:55 00:55
Course introduction including what is AI ML DL
3 Lectures
Tutorialspoint
PRECONDITIONS OF USING AND LIFE CYCLE WHERE ITS USED
2 Lectures
Tutorialspoint
BANKING INDUSTRY EXAMPLE TO UNDERSTAND DIFFERENCE BETWEEN AI, ML, & DL
3 Lectures
Tutorialspoint
BENEFIT OF USING AI ML IN INDUSTRY
7 Lectures
Tutorialspoint
INDUSTRY CASE STUDY LEARNING - EXTERNAL VIEW
12 Lectures
Tutorialspoint
Basic Academic view of AI, ML and DL (from tech perspective)
3 Lectures
Tutorialspoint

Instructor Details

Shripad Ramakant Vaidya

Shripad Ramakant Vaidya

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nischal bunty

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so excited how the modules are prepared, cant wait to complete my course

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