IBM Key Technologies for Business

Coursera

Category: Business Essentials Tags: Beginner, IBM, Microdegree

About this Course

Get Ahead with IBM Key Technologies for Business. Gain Foundational Understanding of Key Technologies Driving Modern Businesses. In this Specialization, we will cover 3 key technologies that are foundational and driving significant growth and innovation. These are Cloud Computing, Data Science, and Artificial Intelligence (AI).

Technology is essential for the future of business. Almost any organization that wants to modernize or get ahead, and anyone working there, needs to understand and leverage these essential technologies.

The courses in this Specialization provide foundational knowledge of Cloud, Data and AI, including business drivers behind their growth, the value they provide, their applications and use cases, and an understanding of how these technologies work. You will not only become familiar with the buzzwords associated with these technologies, but also experience them in action and develop hands-on skills to start working with them.

This IBM Key Technologies for Business Specialization is suitable for a variety of learners who are beginners with these technologies, including managers and executives, professionals who want to upskill, and students getting ready to start a career.

There is no special prior knowledge or hardware required. The only pre-requisites are basic computer literacy, device with a modern web browser with internet connectivity, and motivation to self-learn online.

What you will Learn from this course?

• 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.

Syllabus for IBM Key Technologies for Business

There are 3 Courses in the IBM Key Technologies for Business Specialization

Course 1. Introduction to Cloud Computing

This course introduces you to the core concepts of cloud computing. You gain the foundational knowledge required for understanding cloud computing from a business perspective as also for becoming a cloud practitioner. You understand the definition and essential characteristics of cloud computing, its history, the business case for cloud computing, and emerging technology usecases enabled by cloud. We introduce you to some of the prominent service providers of our times (e.g. AWS, Google, IBM, Microsoft, etc.) the services they offer, and look at some case studies of cloud computing across industry verticals.

You learn about the various cloud service models (IaaS, PaaS, SaaS) and deployment models (Public, Private, Hybrid) and the key components of a cloud infrastructure (VMs, Networking, Storage – File, Block, Object, CDN). We also cover emergent cloud trends and practices including – Hybrid Multicloud, Microservices, Serverless, DevOps, Cloud Native and Application Modernization. And we go over the basics of cloud security, monitoring, and different job roles in the cloud industry.

Even though this course does not require any prior cloud computing or programming experience, by the end of the course, you will have created your own account on IBM Cloud and gained some hands-on experience by provisioning a cloud service and working with it.

Who is this course suitable for?

This course is suitable for a large variety of audiences – whether you are an executive / manager / student who wants to become familiar with cloud computing terminology and concepts, or someone who wants foundational grounding in cloud computing to start a career in this field or become a cloud practitioner – such as a cloud engineer, developer, analyst, etc.

The completion of this course also makes you eligible to earn the Cloud Computing Core IBM digital badge. More information about the badge can be found here: https://www.youracclaim.com/org/ibm/badge/introduction-to-cloud-computing

Course 2. Introduction to Artificial Intelligence (AI)

In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project.

This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.

Course 3. What is Data Science?

The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.

Project for IBM Key Technologies for Business

Each course includes hands-on assignments and interactions that demonstrate specific technologies in action. For example, you will utilize Computer Vision to demonstrate the power of AI. Similarly, you will provision an instance of Cloud Object Storage, and use it to share files. These practical exercises are suitable for even those without any specialized IT skills or programming knowledge.

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