This course 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. The course begins by establishing the basic forms of data ingress used to bring data into organizations for use by data science technologies that provide increased data intelligence to both human decision-makers and AI-driven solutions with automated decision-making capabilities. After covering each of the primary Digital Transformation technologies, the course concludes with a comprehensive, step-by-step description of a business process as carried out by a customer-centric Digital Transformation solution.
The following primary topics are covered:
- – 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
Duration: 1 Day
Taking the Course at a Workshop
This course can be taken as part of instructor-led workshops taught by Arcitura Certified Trainers. These workshops can be open for public registration or delivered privately for a specific organization. Certified Trainers can teach workshops in-person at a specific location or virtually using a video-enabled remote system, such as WebEx.
Visit the Workshop Calendar page to view the current calendar of public workshops.
Visit the Private Training page to learn more about Arcitura’s worldwide private workshop delivery options.
Taking the Course via an eLearning Study Kit
This course can be completed via self-study by purchasing an eLearning study kit subscription, which includes online video lessons, as well as online and offline access to the electronic course materials and additional supplements and resources designed for self-paced study and exam preparation.
Visit the eLearning Study Kits page for more information about eLearning study kits.
Visit the Digital Transformation online store for purchasing information.
Taking the Course via a Printed Study Kit
This course can be completed via self-study by purchasing a printed study kit, which includes the full-color course materials as well as additional supplements and resources designed specifically for self-paced study and exam preparation.
Visit the Printed Study Kits page for more information about full-color printed study kits.
Visit the Digital Transformation online store for purchasing information.
Certifications
This course is part of the following certification track(s):
- – Digital Transformation Specialist
- – Digital Transformation Technology Professional
- – Digital Transformation Technology Architect
- – Digital Transformation Data Science Professional
- – Digital Transformation Data Scientist
- – Digital Transformation Security Professional
- – Digital Transformation Security Specialist