The Certified Digital Transformation Specialist course provides IT professionals with an easy-to-understand introduction of the process. It includes the benefits, risks and challenges of Digital Transformation, as well as its business and technology drivers. It delves into Digital Transformation automation environments by exploring the key contemporary technologies used to build Digital Transformation automation solutions, including AI, RPA, IoT, machine learning, blockchain, cloud computing and big data. This course concludes with a comprehensive, step-by-step description of a business process as carried out by a customer-centric Digital Transformation solution.
Completion of the Certified Digital Transformation Specialist course and passing the Digital Transformation Specialist Certification Exam (DT90.SPC) proves proficiency in foundational digital transformation practices as they are utilized to implement digital transformation within an organization.
The course includes a 12-month subscription to the following digital course materials:
- Video Lessons (for all topics)
- Workbook
- Exam Preparation Guide
- Symbol Legend Poster
- Mind Map Poster
- Flashcards
- Digital Transformation Specialist Certification Exam (DT90.SPC) Voucher
Arcitura Certified Digital Transformation Specialist Course Outline
Module 1: Fundamental Digital Transformation
- Understanding digital transformation
- Benefits of digital transformation
- Challenges of digital transformation
- Digital transformation business and technology drivers
- Understanding customer-centricity
- Product-centric vs. customer-centric relationships
- Relationship-value actions and warmth
- Omni-channel customer interactions
- Customer journeys and customer data intelligence
- Data intelligence basics
- Data origins and data sources
- Data collection methods and data utilization types
- Intelligent decision-making
- Computer- assisted manual decision-making and conditional automated decision-making
- Intelligent manual decision-making vs. intelligent automated decision-making
- Direct-driven automated decision-making and periodic automated decision-making
- Realtime automated decision-making
Module 2: Digital Transformation in Practice
- Understanding digital transformation solutions and distributed solution design basics
- Data ingress basics, including File Pull, File Push, API Pull, API push and data streaming
- An introduction to digital transformation automation technologies
- Cloud computing basics and cloud computing as part of digital transformation solutions
- Common cloud computing risks and challenges
- Blockchain basics and blockchain as part of digital transformation solutions
- Common blockchain risks and challenges
- Internet of things (IoT) basics and IoT as part of digital transformation solutions
- Common IoT risks and challenges
- Robotic process automation (RPA) and RPA as part of digital transformation solutions
- Common RPA risks and challenges
- An introduction to digital transformation data science technologies
- Big data and data analytics and big data as part of digital transformation solutions
- Common big data risks and challenges
- Machine learning basics and machine learning as part of digital transformation solutions
- Common machine learning risks and challenges
- Artificial intelligence (AI) basics and AI as part of digital transformation solutions
- Common AI risks and challenges
- Inside a customer-centric digital transformation solution (a comprehensive, step-by-step exploration)
- Mapping individual digital transformation technologies to solution processing
- Tracking how data intelligence is collected and used in a digital transformation solution
Who Should Take This Course
- Jr. Digital Transformation Professional
- Non-IT Digital Transformation Management Professionals
- Digital Strategy Consultant
- Digital Transformation Team Members
