Get Ahead with Key Business Technologies. Gain Foundational Understanding of Key Technologies Driving Modern Businesses

4.7

stars

51,511 ratings

Rav Ahuja +1 more instructor

Offered By

Key Technologies for Business SpecializationIBM

What you will 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 will gain

Data ScienceArtificial Intelligence (AI)BusinessCloud ComputingtechnologyCloud NativeDevopsIaas PaaS SaasHybrid MulticloudDeep LearningJobsMachine Learning

About this Specialization

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 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.

Applied Learning Project

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.

Learner Career Outcomes

30%

Started a new career after completing this specialization.

15%

Got a pay increase or promotion.

Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

No special background or skills are needed excpet basic computer literacy.

Approximately 3 months to complete

Suggested pace of 3 hours/week

English

Subtitles: English, Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Spanish

Learner Career Outcomes

30%

Started a new career after completing this specialization.

15%

Got a pay increase or promotion.

Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

No special background or skills are needed excpet basic computer literacy.

Approximately 3 months to complete

Suggested pace of 3 hours/week

English

Subtitles: English, Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Spanish

There are 3 Courses in this Specialization

Course1

Course 1

Introduction to Cloud Computing

4.8

stars

593 ratings

•

142 reviews

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. 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

Course2

Course 2

Introduction to Artificial Intelligence (AI)

4.7

stars

7,035 ratings

•

1,553 reviews

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.

Course3

Course 3

What is Data Science?

4.7

stars

43,883 ratings

•

8,196 reviews

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.

Instructors

Rav Ahuja

Global Program Director,

IBM Skills Network

620,656 Learners

20 Courses

Alex Aklson

Ph.D., Data Scientist

462,228 Learners

20 Courses

Offered by

IBM

IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.

Frequently Asked Questions

What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Can I just enroll in a single course?
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
Can I take the course for free?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
Is this course really 100% online? Do I need to attend any classes in person?
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
Will I earn university credit for completing the Specialization?
This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
How long does it take to complete the Specialization?
Each course in the specialization entails about 8-10 hours of effort. Those taking this specialization part-time (about 2-3 hours per week), can complete the entire program in 2-3 months.
What background knowledge is necessary?
No special background or prior knowledge is required other than basic computer literacy.
Do I need to take the courses in a specific order?
The courses can be taken in any order.
What will I be able to do upon completing the Specialization?
After completing this specialization, you will be able to:
List key technologies driving modern businesses and ability to 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 Data Scientist performs, and how Data Science is revolutionizing virtually all industries and businesses

More questions? Visit the Learner Help Center.