Key Technologies for Business

IBM via Coursera Specialization

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Details

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Provider

Coursera Specialization
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Duration & workload

13 weeks, 2 hours a week
Level

Beginner

Found in

Overview

Class Central Tips

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.

Syllabus

Course 1: Introduction to Cloud Computing
- Offered by IBM. Start your cloud computing journey with this self-paced introductory course! Whether you need general cloud computing ... Enroll for free.

Course 2: Introduction to Artificial Intelligence (AI)
- Offered by IBM. Artificial Intelligence (AI) is all around us, seamlessly integrated into our daily lives and work. Enroll in this course to ... Enroll for free.

Course 3: What is Data Science?
- Offered by IBM. Do you want to know why data science has been labeled the sexiest profession of the 21st century? After taking this course, ... Enroll for free.

Courses

4 reviews
11 hours 27 minutes
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Do you want to know why data science has been labeled the sexiest profession of the 21st century? After taking this course, you will be able to answer this question, understand what data science is and what data scientists do, and learn about career paths in the field. The art of uncovering insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and accurately predicted the Nile River's flooding every year. Since then, people have continued to use data to derive insights and predict outcomes. Recently, they have carved out a unique and distinct field for the work they do. This field is data science. In today's world, we use Data Science to find patterns in data and make meaningful, data-driven conclusions and predictions. This course is for everyone and teaches concepts like how data scientists use machine learning and deep learning and how companies apply data science in business. You will meet several data scientists, who will share their insights and experiences in data science. By taking this introductory course, you will begin your journey into this thriving field.
2 reviews
13 hours 3 minutes
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Artificial Intelligence (AI) is all around us, seamlessly integrated into our daily lives and work. Enroll in this course to understand the key AI terminology and applications and launch your AI career or transform your existing one. This course covers core AI concepts, including deep learning, machine learning, and neural networks. You’ll examine generative AI models, including large language models (LLMs) and their capabilities. Furthermore, you’ll examine AI’s application across domains such as natural language processing (NLP), computer vision, and robotics, uncovering how these advancements drive innovation and use cases. This course explores AI's transformative impact, including generative AI, on businesses. It also explains how AI can revolutionize your work and environment and what career opportunities it offers. Finally, the course explores AI ethics and governance, prevalent concerns and issues surrounding the AI landscape. The course includes hands-on labs and a project, providing an opportunity to explore AI’s use cases and applications. You will also hear from expert practitioners about the capabilities, applications, and ethical considerations surrounding AI.   This course is suitable for everyone, including professionals, enthusiasts, and students interested in learning the fundamentals of AI.
1 review
12 hours 27 minutes
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Start your cloud computing journey with this self-paced introductory course! Whether you need general cloud computing knowledge for school or business, or you are considering a career change, this beginner-friendly course is right for you. In this course you’ll learn about essential characteristics of cloud computing and emerging technologies supported by cloud. You’ll explore cloud service models, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Public, Private, and Hybrid deployment models. Discover the offerings of prominent cloud service providers AWS, Google, IBM, Microsoft, and others, and review cloud computing case studies. Learn about cloud adoption, blockchain, analytics, and AI. You will learn about the many components of cloud computing architecture including datacenters, availability zones, virtual machines, containers, and bare metal servers. You will also familiarize yourself with different types of cloud storage options, such as Object Storage. You’ll gain foundational knowledge of emergent cloud trends and practices including Hybrid, Multicloud, Microservices, Serverless, DevOps, Cloud Native, Application Modernization, as well as learn about cloud security and monitoring. You’ll also explore cloud computing job roles and possible career paths and opportunities. You will complete a number of labs and quizzes throughout this course to increase your understanding of course content. At the end of the course, you will complete a final project where you will deploy an application to Cloud using a serverless architecture, a valuable addition to your portfolio. After this course, check out the related courses to help you towards your new career as a cloud engineer, full stack developer, DevOps engineer, cybersecurity analyst, and others.