IBM & Darden Digital Strategy Specialization

University of Virginia Darden School Foundation

IBM & Darden Digital Strategy Specialization

Get ahead with key business and technical skills. Understand how current technologies are changing industry and create strategy to transform your business

Instructors: Michael Lenox

7,951 already enrolled

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6 course series

Get in-depth knowledge of a subject

4.8

(478 reviews)

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

6 course series

Get in-depth knowledge of a subject

4.8

(478 reviews)

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Understand the value of data and how the rapid growth of technologies such as artificial intelligence and cloud computing are transforming business.

Skills you'll gain

Details to know

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Taught in English

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Develop a deep understanding of key concepts
Earn a career certificate from University of Virginia Darden School Foundation

Specialization - 6 course series

This Specialization was designed to combine the most current business research in digital transformation and strategy with the most up-to-date technical knowledge of the technologies that are changing how we work and do business to enable you to advance your career. By the end of this Specialization, you will have an understanding of the three technologies impacting all businesses: artificial intelligence, cloud computing, and data science. You will also be able to develop or advance a digital transformation strategy for your own business using these technologies. This specialization will help managers understand technology and technical workers to understand strategy, and is ideal for anyone who wants to be able to help lead projects in digital transformation and technical and business strategy.

Applied Learning Project

Introduction to Artificial Intelligence (AI)

Course 112 hours

What you'll learn

Explain the fundamental concepts and applications of AI in various domains.
Describe the core principles of machine learning, deep learning, and neural networks, and apply them to real-world scenarios.
Analyze the role of generative AI in transforming business operations, identifying opportunities for innovation and process improvement.
Design a generative AI solution for an organizational challenge, integrating ethical considerations.

Skills you'll gain

Category: Generative AI

Category: Artificial Intelligence

Category: Deep Learning

Category: Machine Learning

Category: Artificial Neural Networks

Category: ChatGPT

Category: Applied Machine Learning

Category: Business Transformation

Category: Large Language Modeling

Category: Digital Transformation

Category: Automation

Category: Ethical Standards And Conduct

Category: Prompt Engineering

Category: OpenAI

Category: Computer Vision

Category: Business Technologies

Category: Governance

Category: Data Ethics

Category: Natural Language Processing

Category: Artificial Intelligence and Machine Learning (AI/ML)

The Strategist's Challenge

Course 25 hours

What you'll learn

Develop your ability to think strategically, analyze the competitive environment, and recommend firm positioning and value creation

Skills you'll gain

Category: Business Strategy

Category: Competitive Analysis

Category: Strategic Thinking

Category: Strategic Decision-Making

Category: Business Consulting

Category: Organizational Strategy

Category: Business Analysis

Category: Business Economics

Category: Analysis

Category: Value Propositions

Category: Market Analysis

Introduction to Data Analytics

Course 310 hours

What you'll learn

Explain what Data Analytics is and the key steps in the Data Analytics process
Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst
Describe the different types of data structures, file formats, and sources of data
Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

Category: Data Cleansing

Category: Data Visualization Software

Category: Big Data

Category: Data Lakes

Category: Statistical Analysis

Category: Data Analysis

Category: Data Collection

Category: Data Wrangling

Category: Apache Spark

Category: Extract, Transform, Load

Category: Apache Hadoop

Category: Data Warehousing

Category: Apache Hive

Category: Analytics

Category: Data Mart

Introduction to Cloud Computing

Course 412 hours

What you'll learn

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

Skills you'll gain

Category: Cloud Computing

Category: Cloud Services

Category: Emerging Technologies

Category: Cloud Storage

Category: Cloud Security

Category: Hybrid Cloud Computing

Category: Serverless Computing

Category: Cloud Computing Architecture

Category: Cloud-Native Computing

Category: Microservices

Category: DevOps

Category: Cloud Platforms

Category: Infrastructure As A Service (IaaS)

Category: Virtual Machines

Category: Software As A Service

Introduction to Digital Transformation Part 1

Course 54 hours

What you'll learn

Understand the “digital transformation stack” - infrastructure, technology, business functions, and strategy

Skills you'll gain

Category: Digital Transformation

Category: Business Strategy

Category: Competitive Analysis

Category: Business Economics

Category: Product Lifecycle Management

Category: Technology Strategies

Category: Data Strategy

Category: Business Transformation

Category: Emerging Technologies

Category: Artificial Intelligence and Machine Learning (AI/ML)

Category: Business Technologies

Category: Innovation

Introduction to Digital Transformation Part 2

Course 64 hours

What you'll learn

This course was designed to further your understanding of digital transformation so you can leverage digitization to improve business function performance. You'll learn how to build out your core digital infrastructure, with a focus on cloud computing, data integrity and digital platforms. You'll explore how digitization is transforming various business functions and organization units and learn how to

Skills you'll gain

Category: Digital Transformation

Category: Cloud Computing

Category: Cloud Infrastructure

Category: Business Technologies

Category: Technology Roadmaps

Category: Data Infrastructure

Category: Emerging Technologies

Category: Business Transformation

Category: Performance Improvement

Category: Business Process Reengineering

Category: Technology Strategies

Category: Data Integrity

Earn a career certificate

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Instructors

Michael Lenox

24 Courses556,992 learners

Jared Harris

University of Virginia Darden School Foundation

10 Courses247,490 learners

Rav Ahuja

IBM

56 Courses3,810,238 learners

Offered by

University of Virginia Darden School Foundation

IBM

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Frequently asked questions

The recommended time for this Specialization is 24 weeks, although you can learn at your own pace.

Interest or some experience in business strategy or technology is useful, but not required.

You do not need to take the courses in specific order.

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.