Overview

Technology leaders need to be familiar with the technologies that will drive their digital transformation. This learning path introduces these technologies to those responsible for driving their tech strategy. Topics include cloud computing, big data and data science, machine learning and artificial intelligence, blockchain, the Internet of Things, software project management, and security policies. Also explore our Digital Transformation for Leaders and Digital Transformation in Practice learning paths.

Understand the critical technologies driving digital transformation.
Identify the technical skills needed to move toward a digital-first strategy.
Plan for the implementation of your digital strategy.

Syllabus

Course 1: Foundations of the Fourth Industrial Revolution (Industry 4.0)

Explore the technology and disruptors of Industry 4.0. Learn about the impact of I4.0, the fourth industrial revolution, on our society, jobs, and lives.

Course 2: RPA, AI, and Cognitive Tech for Leaders

Learn what C-suite executives need to know to navigate the digital operations landscape, filter out the noise, and digitize their organization using RPA, ML, analytics, and AI.

Course 3: Cloud Architecture: Core Concepts

Boost your cloud computing skill set. Learn about the business and technical requirements of building a strong architecture, how to build your first architecture, and more.

Course 4: Cloud Architecture: Advanced Concepts

Learn how microservices, serverless architecture, high-performance computing, and other advanced concepts may impact your cloud architecture.

Course 5: Big Data in the Age of AI

Explore big data and how it works. Learn about big data's relationship to AI, data science, social media, and the Internet of Things (IoT).

Course 6: Artificial Intelligence Foundations: Thinking Machines

Learn the key concepts behind artificial intelligence (AI), including strong and weak AI, approaches such as machine learning, and practical uses for new AI-enhanced technologies.

Course 7: Machine Learning and AI Foundations: Value Estimations

Discover how to solve value estimation problems with machine learning. Learn how to build a value estimation system that can estimate the value of a home.

Course 8: Machine Learning and AI Foundations: Decision Trees with SPSS

Establish a strong foundation in ML by exploring the IBM SPSS Modeler and learning about CHAID and C&RT. This course is designed to help expand your data science skills.

Course 9: Machine Learning and AI: Advanced Decision Trees with SPSS

Work toward a mastery of machine learning by exploring advanced decision tree algorithm concepts. Learn about the QUEST and C5.0 algorithms and a few advanced topics.

Course 10: Blockchain Basics

Blockchain technology has become a platform for innovation across industries. In this course, learn what the blockchain is and what it might mean to you.

Course 11: Learning Cloud Computing: Core Concepts

Migrating to the cloud? Get a general overview of cloud computing, including cloud security, planning, and governance, as well as public, private, and multicloud operations.

Course 12: Blockchain: Beyond the Basics

Learn about blockchain technology and the implications of decentralized, encrypted data storage for business and society.

Course 13: IoT Foundations: Fundamentals

Learn what the Internet of Things is, and how it works from a technical standpoint.

Course 14: IoT Foundations: Standards and Ecosystems (2017)

Explore IoT standards and ecosystems. Learn about IoT markets, the major security and privacy challenges facing the development of IoT, the standards development process, and more.

Course 15: Agile Development Practices

Get practical advice and learn developer-centric tips for how to navigate and improve your agile software workflow.

Course 16: Implementing an Information Security Program

Learn how to build an information security program, implement it at your organization, and keep it in operation to mitigate risk and remain in compliance.

Taught by

Jonathan Reichental, Ph.D., Ian Barkin, David Linthicum, David Linthicum, Barton Poulson, Doug Rose, Adam Geitgey, Keith McCormick, Keith McCormick, Jonathan Reichental, Ph.D., David Linthicum, Jonathan Reichental, Ph.D., Bruce Sinclair, Zahraa Khalil, Harrison Ferrone and Kip Boyle