Course

Key Technologies for Business

IBM

In the "Key Technologies for Business" Specialization, offered by IBM, you will gain a foundational understanding of the essential technologies driving modern businesses. With a focus on Cloud Computing, Data Science, and Artificial Intelligence (AI), this course equips learners with the knowledge and skills required to have meaningful conversations and work with these technologies effectively.

The Specialization is designed for beginners with these technologies, including managers, professionals seeking to upskill, and students preparing to start a career. No special prior knowledge or hardware is required, making it accessible to a wide range of learners.

  • Understand key technologies driving modern businesses
  • Gain foundational knowledge of Cloud Computing, Public/Private/Hybrid Clouds, IaaS/PaaS/SaaS, VMs, Cloud Storage & Cloud Native practices like DevOps
  • Describe Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, and the impact of AI on society
  • Outline the significance of Data Science and its revolutionizing impact on industries and businesses

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Key Technologies for Business
Course Modules

The course begins with an introduction to Cloud Computing, followed by insights into Artificial Intelligence (AI) and Data Science. Each module provides a comprehensive understanding of the respective technology and its applications.

Introduction to Cloud Computing

Module 1: Introduction to Cloud Computing

  • Define cloud computing and explain essential characteristics, history, and the business case for cloud
  • Describe the cloud service models and deployment models, including emerging trends and popular cloud platforms

Introduction to Artificial Intelligence (AI)

Module 2: Introduction to Artificial Intelligence (AI)

  • Describe what AI is, its applications, and ethical concerns surrounding AI
  • Explain terms like Machine Learning, Deep Learning, and Neural Networks

What is Data Science?

Module 3: What is Data Science?

  • Define data science and its importance in today’s data-driven world
  • Summarize advice for aspiring data scientists and why data science is considered the most in-demand job in the 21st century
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