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

Sponsored by InternMart, Inc

20,928 already enrolled

Get in-depth knowledge of a subject
4.8

(1,549 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
4.8

(1,549 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

Shareable certificate

Add to your LinkedIn profile

Taught in English

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

Placeholder

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
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

Specialization - 3 course series

Introduction to Cloud Computing

Course 112 hours4.6 (6,797 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: Cloud Solutions
Category: Cloud Infrastructure
Category: Cloud Engineering
Category: Cloud Services
Category: IT Infrastructure
Category: Cloud Security
Category: Cloud Development
Category: Cloud Computing Architecture
Category: Cloud Applications
Category: Cloud Platforms
Category: Cloud-Native Computing
Category: Serverless Computing
Category: Cloud Technologies
Category: Computing Platforms
Category: Multi-Cloud
Category: IBM Cloud
Category: Hybrid Cloud Computing
Category: Public Cloud
Category: Cloud Storage

Introduction to Artificial Intelligence (AI)

Course 213 hours4.7 (15,585 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: Artificial Intelligence and Machine Learning (AI/ML)
Category: Artificial Intelligence
Category: Computer Science
Category: Deep Learning
Category: Artificial Neural Networks
Category: Applied Machine Learning
Category: Generative AI
Category: Machine Learning Methods
Category: Data Governance
Category: Machine Learning Algorithms
Category: Data Ethics
Category: Governance
Category: Machine Learning
Category: Data Management
Category: Statistical Machine Learning
Category: Data Strategy
Category: Natural Language Processing
Category: Computer Vision

What is Data Science?

Course 311 hours4.7 (73,458 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 Analysis
Category: Data Processing
Category: Big Data
Category: Data Storytelling
Category: Data Science
Category: Business Analytics
Category: Analytics
Category: Data Visualization
Category: Business Intelligence
Category: Data Architecture
Category: Advanced Analytics
Category: Databases
Category: Computer Science
Category: Data Infrastructure
Category: Data Engineering
Category: Machine Learning
Category: Data Storage
Category: Data Mining
Category: Extract, Transform, Load
Category: Data Management

Instructors

Alex Aklson
IBM
22 Courses1,169,152 learners

Offered by

IBM

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Placeholder

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy