Online Course – Certified Professional Internship in Key Business Technologies from IBM Institute

Get an edge with key business technologies. Gain a fundamental understanding of the technologies driving modern business.

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Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Data Science
  • business
  • Cloud Computing
  • technology
  • Artificial Intelligence (AI)

What you will learn in the course

Courses for which the course is suitable

  • Information Technology Manager
  • Data Analyst
  • Artificial Intelligence Developer
  • Cloud Computing Expert
  • Technology Project Manager
  • Data Science Specialist
  • Software developer
  • Technology Consultant
  • Technology Product Manager
  • Digital Marketing Expert

Expertise – 3-part course series

In this expertise, we will review 3 key technologies that are fundamental and driving significant innovative growth. These technologies are:

  • Cloud Computing
  • Data Science
  • Artificial Intelligence (AI)

The importance of technology for the future of business

Technology is essential to the future of business. Almost every organization that wants to innovate or stay ahead of the competition, and everyone who works in it, needs to understand and utilize these fundamental technologies.

Course content

The courses in this specialization provide basic knowledge about:

  • Cloud Computing
  • data
  • AI

Including the business drivers behind their growth, the value they deliver, the applications and use cases, and an understanding of how these technologies work. You will not only learn the terminology associated with these technologies, but also experience them in action and develop practical skills to start working with them.

Target audience

This specialization is suitable for a variety of learners who are:

  • Getting started with these technologies
  • Managers
  • Professionals who want to upgrade their skills
  • Students preparing themselves to start a career

Course requirements

No special prior knowledge or hardware is required. The only requirements are:

  • Basic computer skills
  • A device with a modern web browser
  • Internet connection
  • Motivation for self-study online

Hands-on Learning Project

Each course includes practical tasks and interactions that demonstrate specific technologies in action. for example:

  • Use computer vision to demonstrate the power of artificial intelligence.
  • Build a cloud storage instance and use it for file sharing.

These practical exercises are also suitable for people without special computing skills or programming knowledge.

Details of the courses that make up the specialization

Introduction to Cloud Computing

Course 1

  • 12 hours
  • 4.6 (6,601 ratings)

Course Details

What you’ll learn:
  • Define cloud computing and explain its basic characteristics, history, the business case for cloud computing, and the emerging technologies that enable its use.
  • Describe the cloud service models – IaaS, PaaS, SaaS, and cloud deployment models – public, private, hybrid; explain the components of the cloud infrastructure.
  • Explain new cloud-related trends including hybrid multi-cloud, 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 more.
Skills you will acquire:
  • Category: Cloud Computing
  • Category: Hybrid Multi-Cloud
  • Category: DevOps
  • Category: IaaS PaaS SaaS
  • Category: Cloud Native

Introduction to Artificial Intelligence (AI)

Course 2

  • 13 hours
  • 4.7 (15,027 ratings)

Course Details

What you’ll learn:
  • Describe what artificial intelligence is and explain the key concepts related to it.
  • Demonstrate how artificial intelligence applications and use cases can change our lives and work.
  • Identify the potential and impact of artificial intelligence to transform businesses and careers.
  • Describe the ethical issues, limitations, and concerns surrounding artificial intelligence.
Skills you will acquire:
  • Category: Generative Artificial Intelligence
  • Category: Ethics of Artificial Intelligence
  • Category: Natural Language Processing
  • Category: Machine Learning
  • Category: Artificial Intelligence

What is data science?

Course 3

  • 11 hours
  • 4.7 (72,446 ratings)

Course Details

What you’ll learn:
  • Define data science and its importance in the modern data world.
  • Describe the different paths that can lead to a career in data science.
  • Summarize advice given by experienced data science professionals to beginners in the field.
  • Explain why data science is considered the most in-demand job of the 21st century.
Skills you will acquire:
  • Category: Data Science
  • Category: Big Data
  • Category: Machine Learning
  • Category: Deep Learning
  • Category: Data Mining