IBM
Key Technologies for Business Specialization
IBM

Key Technologies for Business Specialization

Get Ahead with Key Business Technologies. Gain Foundational Understanding of Key Technologies Driving Modern Businesses

Taught in English

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Alex Aklson
Rav Ahuja

Instructors: Alex Aklson

17,782 already enrolled

Specialization - 3 course series

Get in-depth knowledge of a subject

4.7

(1,369 reviews)

Beginner level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand key technologies driving modern businesses and have meaningful conversations around Cloud, Data and AI, and related buzzwords

  • 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, their impact on society, and our future in an AI enabled world

  • Outline what is Data Science, tasks that a Data Scientist performs, and how Data Science is revolutionizing virtually all industries and businesses

Details to know

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Specialization - 3 course series

Get in-depth knowledge of a subject

4.7

(1,369 reviews)

Beginner level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from IBM
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Specialization - 3 course series

Introduction to Cloud Computing

Course 112 hours4.6 (5,348 ratings)

What you'll learn

  • Define cloud computing and explain essential characteristics, history, the business case for cloud, and the emerging technologies enabled by cloud

  • Describe the cloud service models- IaaS, PaaS, SaaS, and cloud deployment models- Public, Private, Hybrid; explain cloud infrastructure components

  • Explain emerging Cloud related trends including HybridMulticloud, Microservices, Serverless, Cloud Native, DevOps, and Application Modernization

  • List and describe services of popular cloud platforms including AWS, Microsoft Azure, Google Cloud, IBM Cloud, Alibaba Cloud, and others

Skills you'll gain

Category: Cloud Computing
Category: Hybrid Multicloud
Category: Devops
Category: Iaas PaaS Saas
Category: Cloud Native

Introduction to Artificial Intelligence (AI)

Course 28 hours4.7 (12,495 ratings)

What you'll learn

  • Describe what is AI, its applications, 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'll gain

Category: Artificial Intelligence (AI)
Category: Data Science
Category: Machine Learning
Category: Deep Learning
Category: Jobs

What is Data Science?

Course 311 hours4.7 (67,824 ratings)

What you'll learn

  • Define data science and its importance in today’s data-driven world.

  • Describe the various paths that can lead to a career in data science.

  • Summarize  advice given by seasoned data science professionals to data scientists who are just starting out.

  • Explain why data science is considered the most in-demand job in the 21st century.

Skills you'll gain

Category: Data Science
Category: Big Data
Category: Machine Learning
Category: Deep Learning
Category: Data Mining

Instructors

Alex Aklson
IBM
22 Courses1,014,443 learners

Offered by

IBM

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