Artificial Intelligence in industry & business for Beginners

Beginners Basic Awareness level course - Industry case studies Artificial Intelligence, Machine Learning & Deep Learning

What you'll learn
How industry uses AI ML and DL in the business - beginner level
Basics of AI ML and DL especially from industry and business perspective - beginner level
Business Benefits for using Artificial Intelligence - beginner level
Case studies from multiple Industries using AI, ML and DL - beginner level
Digital skills in the business, industry and corporate - beginner level

Requirements
No prerequisites for taking this course

Description
This is a beginners basic awareness level course with case studies multiple industries such as Retail, Railways, Pharma, Insurance, Banking, Hospitality, Beverages, Real Estate, Warehouse, etc.
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 significant importance in the global business.
Following is a gist of the course
• Basic understanding of AI, ML, DL
• Preconditions of using AI, ML, DL
• Which industry life cycle or life-stage can be utilized using AI, ML and DL.
• Industry benefits of using AI, ML, DL with a case of Banking (case studies of Amazon Inc, General Motors, Coca-Cola, Pepsi, BBVA;Bank, Covid19 Vaccine development); ;
• Difference between AI, ML and DL with Banking use cases.
• Industry case studies from multiple industries such as Retail, Railways,; Insurance, Banking, Hospitality, Beverages, Real Estate, Warehouse etc. (some example include platform usage with Amazon Inc, Constems AI, European Railway, Auto Insurance / Car Insurance, Japanese Hotel, JD Warehouse of China etc)
• Academic view of AI, ML, and DL from technology perspective including Chatboat, Robot, Documentation, NLP (Natural language processing ), Artificial Intelligence used in Gadgets like car, Medical equipment, Kitchen, Watch etc. , Robotic process automation, Facial Recognition, Object recognition, Deep tagging, Contextual AI, Advisory Robots in various industry, Hyper personalization, Pattern recognition, Clustering, Supervisory learning, Unsupervised Learning, Reinforcement Learning etc.
This course can help to enhance the digital skills of any individual as it is a “street-smart view” of the AI usage in the industry. This course explains in the most simple manner giving examples such as Growth of the child, parentage, Chess Player, AlphaGO of Google, Robot usage, farming etc.
Who this course is for:Job Aspirants or job seekersNew Industry entrantsProject Managers of multiple industryBusiness strategistsStudents from various fields such as science, commerce, management, IT, technology etcUniversities and schools reference books and coursesIT industry employeesIT developersBusiness executives

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