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info_outline  Updated 18th January 2021: Following new government legislation, Kaplan centres will only be open to run AAT CBEs until the end of January. All other CBEs will not be able to run. No Accountancy and Tax CBEs will run in February. New exam bookings are now being taken for 1st March onwards. Any bookings between now and 28th February will automatically be refunded within the next 28 days.

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New Technologies for Business

Equip yourself with a good understanding of a range of new and emerging technologies and what the implications and opportunities may be for your business operating in a digital world. Once you’ve completed the course, you will be able to have informed conversations with those that are responsible for realising the full potential, and guarding against the threats, of the new technologies that are now available.

Course price:
£480 (inc. VAT)

Make an enquiry

1. Overview
2. Suitability
3. Key course features
4. Course outline
5. Study method
6. Course pricing

1. Overview

Digital transformation is on the horizon for almost all organisations, no matter what their size or sector. Many are embracing at pace, the significant advancements in digital technology such as Artificial Intelligence (AI), Data Analytics, Cloud Computing, Machine Learning, Blockchain and Cryptocurrency to change the way they do business and to drive improvements in efficiency and overall performance.

And whilst any change can present new risks, doing nothing is equally risky. It’s important not to get left behind.

Have a look at this demo to give you an idea of the course content and format.

New technologies for Business demo

FREE course demo

2. Suitability

Our New Technologies for Business course is practical, rather than technical. Whilst relevant to all, the course is particularly suitable for managers, or aspiring managers at all levels, as well as small business owners. No prior knowledge is required.

By attending the course, you’ll be able to:

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    Understand the fundamentals of the technology
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    Define the basic technical aspect of the technology
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    Identify the uses of the technology within your business sector
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    Relate the potential application of new and emerging technologies in your business

3. Key course features

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    Practical rather than academic, with real case studies illustrating the impact of the topics on industry
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    Online learning programme of seven core units, with an array of modules that contain bite sized topics (10-15 mins in duration) to work through each area
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    A wide range of activities to test your knowledge, with opportunities to keep you motivated throughout
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    Online course allowing you to work at your own pace through a structured, pre-defined learning route
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    Six months online access to the course
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    Includes an assessment to track your progress at the end of each unit

4. Course outline

The New Technologies for Business course consists of seven separate units. Six discrete units on a different technology and one overarching unit.

1. Digital Age

This unit focuses on enabling you to recognise opportunities open to a business operating in the digital age. You will be able to describe what is meant by the digital age and explain how opportunities can be applied to a business.

Topics include:

  • Customer Behaviours and Expectations in the Digital Age
  • The Customer Journey in the Digital Age
  • Personalisation - new approaches to customer service
  • Data Protection and Data Ethics
  • 4th Industrial Revolution and Emerging Technologies
  • Big Data and Finding Value in Data Analytics
  • Growth of the Global Datasphere
  • Digital Transformation
  • Theories of Disruption
  • Products to Platforms
  • Innovation through Experimentation
2. Internet of Things

The Internet of Things (IoT) is everywhere - It influences so many aspects of our lives - often without us being aware. This unit helps you to develop an understanding of the application of internet-based technologies. You will be able to explain what is meant by IoT, describe different aspects of internet-based technologies and explain the ways in which businesses can make use of such technologies.

Topics include:

  • Introduction to IoT
  • Trends in the Adoption of IoT
  • IoT Devices
  • Impact of IoT on Society
  • Hardware
  • Embedded Systems
  • Basic of IoT Networking
  • Operating Systems
  • Hardware and Software Interaction
  • IoT - New Security and Privacy Challenges
  • IoT and Organizational Risks
  • DDoS Attacks
  • Information Leakage
  • Attack Vectors
3. Cloud Computing

Cloud computing (CC) is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. The term is generally used to describe data centers available to many users over the Internet. This unit allows you to understand this concept, to explain what is meant by cloud computing and describe aspects of cloud computing technology.

Topics include:

  • A Brief History – Origins, Drivers and Definitions (NIST, McCarthy).
  • Basic Terminology and Concepts
  • Cloud Computing and Business Objectives (Cost Reduction, ICT Efficiency and Resilience, Capex/Opex).
  • Governance and Controls (GDPR, SLA, Shared Responsibilities).
  • On-demand Models: Resource
  • Essential Features
  • Delivery Models
  • Deployment Models
  • Data Communication Networks - Broadband, WAN, WWAN and Internet
  • Data Centres
  • Virtualisation of ICT Resources and Systems
  • Web Access (URL, HTTP/HTML, Service Agents)
  • Security of Data in Multiple Remote Locations (DC, CIAA-TVR)
  • Internal and External Threats to Systems (Malware, User Authentication, ID/IP)
  • Security Policy and SLA as Applied to General ICT Security Risks
4. Data Analytics

Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusions and supporting decision-making. This unit allows you to understand data analytics and its application to business. You will be able to explain what is meant by data analytics and explain how descriptive, predictive and prescriptive analytics can be applied to a business.

Topics include:

  • Introduction to Data Analytics
  • Data Source, Data Type, Data Quality
  • Data Cleaning, Data Preparation and Reducing Calculation Costs
  • Data and Web Mining
  • Data Pipeline
  • Data Visualization and Reporting
  • Descriptive Statistics
  • Unsupervised Machine Learning: Concept and Models
  • Clustering
  • Outliers Detection
  • Associative Rule Mining
  • Artificial Neural Networks
  • Support Vector Machines
  • Avoiding Overfitting
  • Sample Codes
  • Introduction to Optimization
  • Heuristics and Metaheuristics
  • Genetic Algorithm
  • Fuzzy Logic Algorithm
5. Digital Marketing

In this unit, you will understand what is meant by digital marketing and how digital marketing concepts can be applied to the marketing strategy of a business.

  • Principles of Digital Marketing
  • The Digital Marketing Landscape
  • Digital Marketing Strategies and Frameworks
  • Search Engine Opportunities
  • POEM – Introduction to Paid, Owned and Earned Media
  • Paid Channels Management and Measurement
  • Owned Channels Management and Measurement
  • Earned Channels Management and Measurement
6. Blockchain

In this unit, you will understand what is meant by digital marketing and how digital marketing concepts can be applied to the marketing strategy of a business.

  • What is Decentralisation?
  • Distributed Ledgers and Consensus
  • What is Blockchain?
  • Why Use Blockchain?
  • Public Key Cryptography
  • The Chain, Nodes and Network
  • Public, Consortium, Private Blockchains
  • When to Use a Blockchain (Limitations and Misconceptions)
  • Implications of Blockchain on Traditional Business
  • Cryptocurrency Tokens
  • Bitcoin and Ethereum
  • Ethereum and Smart Contracts
  • Self-Sovereign Identity and Reputation
  • Ownership and Governance
  • Supply Chain and Asset Tracking
7. Introduction to artificial intelligence

Artificial Intelligence (AI) plays a crucial role in today’s world. This unit enables you to apply Artificial Intelligence mechanisms to a business. You will be able to explain what is meant by AI and how AI learning mechanisms and models can be applied to a business environment.

  • Applications of AI
  • AI and Machine Learning
  • Main Challenges
  • Regression Models
  • Support Vector Machines
  • Artificial Neural Networks and Deep Learning
  • Tree Models
  • Bayesian Models
  • Predictive Data Analytics

5. Study method

New Technologies for Business is only available online.

This course gives you the flexibility to study when and where you want, with unique online resources designed to give you structure, keep you motivated, and cement your understanding of the subject.

You will get 6 months access to the course online and you can work at a pace that suits you best.


6. Course pricing

Course price: £480 (inc.VAT), providing 6 months online access.


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