Marketing Management: What Is It and Why Does It Matter?
January 22, 2025
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Get Ahead with Key Business Technologies. Gain Foundational Understanding of Key Technologies Driving Modern Businesses
Instructors: Alex Aklson
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(1,563 reviews)
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No special background or skills are needed excpet basic computer literacy.
(1,563 reviews)
Recommended experience
Beginner level
No special background or skills are needed excpet basic computer literacy.
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
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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.
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
Describe what AI is and explain the core concepts related to AI
Demonstrate how AI applications and use cases can transform our lives and our work
Recognize the potential and impact of AI to transform businesses and careers
Describe the issues, limitations, and ethical concerns surrounding AI
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.
At IBM, we know how rapidly tech evolves and recognize the crucial need for businesses and professionals to build job-ready, hands-on skills quickly. As a market-leading tech innovator, we’re committed to helping you thrive in this dynamic landscape. Through IBM Skills Network, our expertly designed training programs in AI, software development, cybersecurity, data science, business management, and more, provide the essential skills you need to secure your first job, advance your career, or drive business success. Whether you’re upskilling yourself or your team, our courses, Specializations, and Professional Certificates build the technical expertise that ensures you, and your organization, excel in a competitive world.
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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.
No special background or prior knowledge is required other than basic computer literacy.
The courses can be taken in any order.
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
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.
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.
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.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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.
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.
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