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The Digital Transformation: Fundamental Technology course provides essential coverage of digital transformation, as well as primary related digital technologies, including cloud computing, blockchain and IoT. Benefits and challenges of applying these technologies are explained, along with a broad range of fundamental technical details and concepts, as well as explorations of how they can be utilized in business applications.

Complete the Digital Transformation: Fundamental Technology course and, optionally, get accredited as a Certified Digital Transformation Technology Professional by passing the certification exam. You can purchase the course now and get the exam later, or you can get them together at a discount as part of the Certification Bundle.

Upon completing the course you will receive a digital certificate of completion, as well as a digital training badge from Acclaim/Credly. Because this course encompasses both the Digital Transformation Specialist and Digital Transformation Technology Professional certifications, upon passing the exam you will also receive official Digital Transformation Specialist and Digital Transformation Technology Professional digital accreditation certificates and certification badges from Acclaim/Credly, along with an account that can be used to verify your certification status.

If you already completed the Digital Transformation Specialist course modules, you can purchase a partial course (or a partial bundle) with only the modules specific to the Digital Transformation Technology Professional track here.

The Digital Transformation: Fundamental Technology course is comprised of the following 5 course modules, each of which has an estimated completion time of 10 hours:

  • Module 1: Fundamental Digital Transformation
  • Module 2: Digital Transformation in Practice
  • Module 3: Fundamental Cloud Computing
  • Module 4: Fundamental Blockchain
  • Module 5: Fundamental IoT

Choose the Certification Bundle to receive the entire course together with the online-proctored certification exam and a set of practice exam questions, all at a bundle discount.

Exam Details

Upon purchasing this course, you will automatically receive access via the Online Interactive eLearning platform. To provide you with the greatest flexibility, you will also have the option to access the course materials via two additional eLearning formats, at no extra cost. All three eLearning formats are briefly described below. A more detailed comparison can be found here.
  1. For everyday learning: An online interactive eLearning platform with individual lessons, as well as interactive and automatically graded exercises and practice questions.
  2. For learning on-the-go: A study kit platform with access to full course documents that support online/offline synching, annotations, comments, custom bookmarks and cross-document searches.
  3. For your reference: A set of printable PDF documents that you can keep (for all course workbooks and posters).
All three forms of access are subject to Arcitura’s *. Upon purchase, access to the online interactive eLearning platform (1) is provided within one business day. Access to the study kits (2) and the PDF documents (3) is provided upon request.

The course is comprised of a set of modules. Each module has a set of lessons and is further supplemented with exercises to help reinforce your understanding of key topics. Shown below are the digital contents and the topic outline for each course module:


Module 1: Fundamental Digital Transformation

This course module provides an easy-to-understand introduction to Digital Transformation and how it relates to business, technology, data and people. Coverage includes the benefits, risks and challenges of Digital Transformation, as well as its business and technology drivers.


Course Module Contents


  • Workbook Lessons (100+ pages)
  • Video Lessons (for all topics)
  • Interactive Exercises

  • Mind Map Poster
  • Symbol Legend Poster
  • Practice Exam Questions
  • PDFs of Workbook and Posters (printable)

Topics Covered

  • 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

This course module 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.


Course Module Contents


  • Workbook Lessons (100+ pages)
  • Video Lessons (for all topics)
  • Interactive Exercises

  • Mind Map Poster
  • Practice Exam Questions
  • PDFs of Workbook and Poster (printable)

Topics Covered

  • 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

Module 3: Fundamental Cloud Computing

This course module provides end-to-end coverage of fundamental cloud computing topics relevant to Digital Transformation, including an exploration of technology-related topics that pertain to contemporary cloud computing platforms.


Course Module Contents


  • Workbook Lessons (100+ pages)
  • Video Lessons (for all topics)
  • Interactive Exercises

  • Mind Map Poster
  • Symbol Legend Poster
  • Practice Exam Questions
  • PDFs of Workbook and Posters (printable)

Topics Covered

  • Fundamental Cloud Computing Terminology and Concepts
  • Basics of Virtualization
  • Specific Characteristics that Define a Cloud
  • Understanding Elasticity, Resiliency, On-Demand and Measured Usage
  • Benefits, Challenges and Risks of Contemporary Cloud Computing Platforms and Cloud Services
  • Understanding the Software as a Service (SaaS) Cloud Delivery Model
  • Understanding the Platform as a Service (PaaS) Cloud Delivery Model
  • Understanding the Infrastructure as a Service (IaaS) Cloud Delivery Model

  • Cloud Computing Mechanisms that Establish Architectural Building Blocks
  • Virtual Servers, Containers, Ready-Made Environments, Failover Systems & Pay-Per-Use Monitors
  • Automated Scaling Listeners, Multi-Device Brokers & Resource Replication
  • Understanding How Individual Cloud Computing Mechanisms Support Cloud Characteristics
  • An Introduction to Containerization, Container Hosting & Logical Pod Containers
  • A Comparison of Containerization and Virtualization
  • Cloud Balancing and Cloud Bursting Architectures

Module 4: Fundamental Blockchain

This course module provides a clear, end-to-end understanding of how blockchain works. It breaks down blockchain technology and architecture in easy-to-understand concepts, terms and building blocks. Industry drivers and impacts of blockchain are explained, followed by plain English descriptions of each primary part of a blockchain system and step-by-step descriptions of how these parts work together.


Course Module Contents


  • Workbook Lessons (100+ pages)
  • Video Lessons (for all topics)
  • Interactive Exercises
  • Mind Map Poster

  • Symbol Legend Poster
  • Blockchain Models Poster
  • Consensus Types Poster
  • Practice Exam Questions
  • PDFs of Workbook and Posters (printable)

Topics Covered

  • Benefits and Challenges of Blockchain
  • Blockchain Business Drivers and Technology Drivers
  • Understanding Blockchain’s Decentralized Model
  • Blockchain Value Propositions
  • How Blockchain Can be Used for Different Industries
  • Blockchain Applications, Networks and the Distributed Ledger
  • How the Distributed Ledger Can Relate to Relational Database
  • Fundamental Components of a Blockchain Architecture
  • Transactions, Records and Pools
  • Blocks, Chains and Block Headers
  • Blockchain Users, Full Nodes and Partial Nodes

  • Step-by-Step Understanding of the Record and Block Lifecycle
  • Step-by-Step Understanding How the Merkle Tree Works
  • Step-by-Step Understanding of How Consensus Works
  • Consensus Algorithms (PoW, PoS, PoA, DPoS, LPoS, PoI, PoET, PoC, PoB, Round Robin)
  • Public vs. Private / Permissionless vs. Permissioned Blockchains
  • Coins, Tokens, Smart Contracts
  • Basics of Crypto Hashing and Cryptography
  • On-Chain, Off-Chain and Cross-Chain Activity
  • Understanding Soft Forks and Hard Forks
  • Common Blockchain Metrics

Module 5: Fundamental IoT

This course module covers the essentials of the field of Internet of Things (IoT) from both business and technical aspects. Fundamental IoT use cases, concepts, models and technologies are covered in plain English, along with introductory coverage of IoT architecture and IoT messaging with REST, HTTP and CoAp.


Course Module Contents


  • Workbook Lessons (100+ pages)
  • Video Lessons (for all topics)
  • Interactive Exercises
  • Mind Map Poster

  • Symbol Legend Poster
  • IoT Business Domains Poster
  • Practice Exam Questions
  • PDFs of Workbook and Posters (printable)

Topics Covered

  • Understanding Things, Connectivity, Data, Processing, Commands and Business Analytics
  • IoT Business and Technology Drivers, Benefits and Challenges
  • Miniaturization and Nanotechnology
  • IoT Connectivity and Contextual Realtime Data
  • IoT Business Domains (Personal, Home, Enterprise, Utilities, Mobile)
  • IoT vs. the Internet
  • Resource-Constrained Devices and Low-Power Wide-Area Networks (LPWANs)
  • Active and Passive Devices (including RFID)
  • Telemetry and Command Data
  • Sensors (Mechanical, Resistive, Optical, Ranging, MEMS)
  • Microcontrollers, Firmware and Power Sources
  • IoT Gateways and Common Gateway Functions

  • Introduction to Edge and Fog Computing
  • IoT Platforms and Common Platform Functions
  • IoT Architecture Layers and Action Modeling
  • Key IoT Architecture Design Considerations
  • Radio Transports (Leased vs. Unleased, High Band vs. Low Band)
  • IoT Messaging with REST, HTTP and the Constrained Application Protocol (CoAp)
  • REST Properties and Constrains with IoT and CoAp
  • HTTP Resource Identifiers, Media Types and Method with IoT and CoAp
  • IoT Publish-and-Subscribe and MQ Telemetry Transport (MQTT)
  • Non-Binary Data Serialization for IoT with JSON
  • Binary Data Serialization for IoT with Protocol Buffers

Learn About Arcitura: Take the Video Tour

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About Arcitura

About Arcitura Courses

About Arcitura Certifications

What’s in an Arcitura Course

Comprehensive
Coverage

Each course provides a comprehensive curriculum with 2-3 modules and 20-40 hours of training.

More Than Just
Video Lessons

In addition to standard video lessons, courses include full-color workbooks and reference posters for all lessons.

Interactive & Graded
Challenges

Courses also include interactive and graded exercises, interactive and graded self-tests and other supplements.

The Arcitura Difference

EACH COURSE

  • is authored by a dedicated courseware development team
  • has a self-test, accreditation exam and professional certification
  • is available via two different eLearning platforms

ALL COURSES

  • undergo a common development process
  • are authored to be consistent in quality, structure and style
  • share a common vocabulary and symbol notation
  • are authored in collaboration with subject matter experts

Take Your Skills Anywhere

Regardless of whether you are an individual looking to boost your career or an organization looking to up-skill a team, Arcitura courses and certifications provide a sound investment.

Because both courses and accreditations are vendor-neutral, they empower you with skills and credentials that you can take to wherever you need to go.

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