About this Specialization

This specialization will explain and describe the overall focus areas for business leaders considering AI-based solutions for business challenges. The first course provides a business-oriented summary of technologies and basic concepts in AI. The second will introduce the technologies and concepts in data science. 

WHAT YOU WILL LEARN

  • Understand what is AI, its applications and use cases and how it is transforming our lives
  • Explain terms like Machine Learning, Deep Learning and Neural Networks
  • Describe several issues and ethical concerns surrounding AI
  • Articulate advice from experts about learning and starting a career in AI

SKILLS YOU WILL GAIN

  • Data Science
  • Artificial Intelligence (AI)
  • Information Technology (IT) Architecture
  • Data Architecture
  • Leadership
  • Deep Learning
  • Jobs
  • Machine Learning
  • Management
  • Analytics
  • Innovation

There are 3 Courses in this Specialization

  • Introduction to Artificial Intelligence (AI)
  • What is Data Science?
  • The AI Ladder: A Framework for Deploying AI in your Enterprise
How to Enroll For This Course !

1. Sign Up on www.coursera.org

2. Enroll Here Click Here

3. Apply Coupon Code: No Code Needed

Machine Leaning Top Course: Click Here

Instructor:

Offered by IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world’s most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become “smarter” as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.

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