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

Alex Aklson
Rav Ahuja

Instructors: Alex Aklson

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Get in-depth knowledge of a subject
4.7

(1,480 reviews)

Beginner level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.7

(1,480 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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Taught in English

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  • 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 (6,376 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 213 hours4.7 (14,353 ratings)

What you'll learn

  • Describe what AI is and explain the core concepts related to AI

  • Demonstrate how AI applications and use cases can transform our lives and our work

  • Recognize the potential and impact of AI to transform businesses and careers

  • Describe the issues, limitations, and ethical concerns surrounding AI

Skills you'll gain

Category: Generative AI
Category: AI ethics
Category: Natural Language Processing
Category: Machine Learning
Category: Artificial Intelligence

What is Data Science?

Course 311 hours4.7 (71,109 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 Courses1,131,152 learners

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IBM

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