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Master Digital Transformation Learning Path Certificate completed by Daniel Belovarsky (Даниел Беловарски)

Master Digital Transformation

Posted on By Daniel Belovarsky

Master Digital Transformation Certificate

Learning Path completed by Daniel Belovarsky (Даниел Беловарски) on Oct 22, 2021 at 10:31AM UTC • 40 hours 3 min

Top skills covered:
Machine Learning, Design Thinking, Big Data, Digital Transformation, Agile Methodologies
Digital technology is transforming business around the world. In this learning path, explore the transformative and technological forces at work and ways to use them for the long-term success of your organization. Plus, discover how to use design thinking and other agile practices for innovation.
  • Discover how to navigate digital transformation long term.
  • Explore the technologies that drive digital transformation.
  • Discover design thinking and agile practices for innovation.
The learning path Master Digital Transformation contains the following courses:

Foundations of the Fourth Industrial Revolution (Industry 4.0)

RPA, AI, and Cognitive Tech for Leaders

Digital Transformation

Business Collaboration in the Modern Workplace

Strategic Agility

Leading with Innovation

The Future of Performance Management

Charlene Li on Digital Leadership

Customer Service Leadership

Machine Learning for Marketing: Essential Training

Introduction to Digital Twins

Introduction to Quantum Computing

Cloud Architecture: Core Concepts

Big Data in the Age of AI

Artificial Intelligence Foundations: Thinking Machines

Blockchain Basics

Learning Cloud Computing: Core Concepts

IoT Foundations: Fundamentals

IoT Foundations: Standards and Ecosystems

Agile Development Practices

Agile Foundations

Stay Lean with Kanban

Implementing an Information Security Program

Leading a Customer-Centric Culture

Design Thinking: Understanding the Process

Design Thinking: Implementing the Process

Learning Design Thinking: Lead Change in Your Organization

frog’s FEMA Disaster Relief Innovation

Learning Design Research

Learning Brainstorming

Design Thinking: Prototyping

Design Thinking: Venture Design

Learning Paths, Leadership and Management, Project Management Tags:Agile Development Practices, Agile Foundations, Agile Methodologies, Artificial Intelligence Foundations, Big Data, Big Data in the Age of AI, Blockchain Basics, business, Business Collaboration in the Modern Workplace, Charlene Li on Digital Leadership, course, courses, Customer Service Leadership, Daniel Belovarsky, Design Thinking, Design Thinking Prototyping, Design Thinking Venture Design, Digital Transformation, Implementing an Information Security Program, Implementing the Process, IoT Foundations, IoT Foundations Fundamentals, IoT Foundations Standards and Ecosystems, Lead Change in Your Organization, Leadership and Management, Leading a Customer-Centric Culture, Leading with Innovation, Learning Brainstorming, Learning Cloud Computing: Core Concepts, Learning Design, Learning Design Research, Learning Design Thinking, Learning Path, Learning Path Certificate, Machine Learning, Machine Learning for Marketing, Prototyping, Stay Lean with Kanban, Strategic Agility, The Future of Performance Management, Thinking Machines, Understanding the Process, Даниел Беловарски

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Agile Project Management Big Data business Business Analysis and Strategy Career Management certificate Cloud Computing Communication Content Marketing course courses Critical Thinking Customer Service Daniel Belovarsky Data Analysis DevOps Digital Marketing Digital Marketing Foundations Executive Leadership HR HTML Essential Training Human Resources Leadership Leadership and Management Learning Learning Path Learning Path Certificate Learning Path completed by Daniel Belovarsky management Marketing Network Administration Organizational Leadership Professional Development Project Management Project Management Foundations sales Search Engine Optimization SEO Social Media Marketing Software Development Talent Management Time Management Web Design web development Даниел Беловарски

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