so excited how the modules are prepared, cant wait to complete my course
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.
Development,Artificial Intelligence,Data Science
Lectures -32
Duration -1.5 hours
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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
Curriculum
Check out the detailed breakdown of what’s inside the course
Course Pre-read
2 Lectures
- Intro video 01:04 01:04
- Browse for a minute before you start this course 00:55 00:55
Course introduction including what is AI ML DL
3 Lectures
PRECONDITIONS OF USING AND LIFE CYCLE WHERE ITS USED
2 Lectures
BANKING INDUSTRY EXAMPLE TO UNDERSTAND DIFFERENCE BETWEEN AI, ML, & DL
3 Lectures
BENEFIT OF USING AI ML IN INDUSTRY
7 Lectures
INDUSTRY CASE STUDY LEARNING - EXTERNAL VIEW
12 Lectures
Basic Academic view of AI, ML and DL (from tech perspective)
3 Lectures
Instructor Details
Shripad Ramakant Vaidya
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