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 +1 more

26,989 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject

from 106,803 reviews of courses in this program

Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject

from 106,803 reviews of courses in this program

Beginner level

Recommended experience

4 weeks to complete
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

Skills you'll gain

  • Category: Cloud Computing
  • Category: Prompt Patterns
  • Category: Cloud Deployment
  • Category: Cloud Technologies
  • Category: Cloud Security
  • Category: Generative AI Agents
  • Category: Machine Learning Methods
  • Category: Big Data
  • Category: Cloud Platforms
  • Category: Data Mining
  • Category: Cloud Services
  • Category: Data Processing
  • Category: Cloud Development
  • Category: Cloud Infrastructure
  • Category: Data Science
  • Category: Data Literacy
  • Category: Business
  • Category: Cloud Computing Architecture
  • Category: Responsible AI

Tools you'll learn

  • Category: Generative AI

Details to know

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Taught in English

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

Specialization - 3 course series

Introduction to Cloud Computing

Introduction to Cloud Computing

Course 1, 12 hours

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 Security
Category: Containerization
Category: Cloud-Native Computing
Category: Cloud Infrastructure
Category: DevOps
Category: Cloud Deployment
Category: Cloud Computing Architecture
Category: Cloud Standards
Category: Software Development
Category: Cloud Engineering
Category: Docker (Software)
Category: Infrastructure Architecture
Category: Cloud Services
Category: Cloud Technologies
Category: Cloud Development
Category: Public Cloud
Category: Data Storage
Category: Data Storage Technologies
Category: Cloud Platforms
Introduction to Artificial Intelligence (AI)

Introduction to Artificial Intelligence (AI)

Course 2, 13 hours

What you'll learn

  • Explain the fundamental concepts and applications of AI in various domains.

  • Describe the core principles of machine learning, deep learning, and neural networks, and apply them to real-world scenarios.

  • Analyze the role of generative AI in transforming business operations, identifying opportunities for innovation and process improvement.

  • Design a generative AI solution for an organizational challenge, integrating ethical considerations.

Skills you'll gain

Category: Generative AI
Category: Natural Language Processing
Category: Prompt Patterns
Category: Retrieval-Augmented Generation
Category: AI literacy
Category: LLM Application
Category: Prompt Engineering Tools
Category: Responsible AI
Category: Generative AI Agents
Category: Agentic systems
Category: Machine Learning Methods
Category: Generative Model Architectures
Category: Risking
Category: Machine Learning Algorithms
What is Data Science?

What is Data Science?

Course 3, 12 hours

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: Cloud Computing
Category: Data Analysis
Category: Digital Transformation
Category: Deep Learning
Category: Machine Learning
Category: Data-Driven Decision-Making
Category: Data Mining
Category: Data Storage
Category: Data Literacy
Category: Data Processing

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Instructors

Alex Aklson
Alex Aklson
IBM
21 Courses1,463,119 learners

Offered by

IBM

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