Applied Artificial Intelligence: CreatingBusiness Outcomes

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General information
Duration:
2 Weeks
Dates:
July 2025 (exact dates TBC)
Location:
London College of Business Studies
Language:
English
Level:
Introductory–Intermediate
Credits:
Certificate of Completion (recommended 3 ECTS equivalent)

Overview

Artificial Intelligence (AI) is not just a buzzword—it is transforming how businesses operate.This hands-on course explores the practical applications of AI across industries, preparingparticipants to identify, evaluate, and deploy AI tools to solve business challenges.

Whether you are a student, recent graduate, or professional looking to enhance your digitalfluency, this course provides real-world exposure to technologies like ChatGPT, machinelearning, and AI-powered decision tools.

Course Objectives

By the end of the course, participants will:

  • Understand the foundations of AI and machine learning
  • Use AI tools (e.g., ChatGPT, image generators) for practical tasks
  • Analyse AI use cases in marketing, HR, and opera
  • Address ethical considerations in AI applications
  • Present a project demonstrating business value through AI

Topics Covered

  • What is AI? How machines learn
  • Prompt engineering and generative AI (ChatGPT, DALL·E)
  • AI in business: productivity, creativity, and automation
  • Responsible and ethical AI use
  • AI trends and future job roles

Daily Schedule

Day 1:
  • Introduction to the course and learning goals
  • What is Artificial Intelligence?
  • Industry examples and key definitions
Day 2:
  • Introduction to machine learning
  • Types of AI (supervised, unsupervised)
  • Simple algorithm demos and visualisations
Day 3:
  • Exploring ChatGPT and large language models
  • Prompt design strategies
  • Individual practice tasks
Day 4:
  • Introduction to image generation (DALL·E)
  • Creativity and AI demo workshop
  • Group discussion on use cases
Day 5:
  • AI applications in marketing and customer service
  • Chatbots, assistants, and automation
  • Hands-on activity with simulated tools
Day 6:
  • Project ideation and team setup
  • Choosing real-life use cases
  • Feedback from instructor
Day 7:
  • Productivity tools: meeting assistants, email automation
  • Integration tools and SaaS use
  • Team project work
Day 8:
  • Ethics, bias, and responsible AI use
  • Case studies: good and bad examples
  • Ethical checklist for team projects
Day 9:
  • Final project work and mentor feedback
  • Rehearsals and refinements
  • Peer-to-peer evaluations
Day 10:
  • Final presentations and feedback
  • Reflection on learning outcomes
  • Certificate distribution and closing

Who Should Apply?

  • University students and recent graduates from any discipline
  • Professionals in business, marketing, HR, or operations
  • Anyone curious about using AI in a practical, applied way
  • No coding or technical background required

Learning Format

Daily classroom sessions (3–4 hours)
Case studies and real-life business examples
Group project with a practical AI application
Final presentations with peer and mentor feedback
Author
Dr. Jane Doe
CV
Visiting Lecturer, University of London
PhD in Artificial Intelligence
BIO

Dr. Doe specialises in applied AI in industry contexts and has worked with startups andglobal companies to develop responsible AI solutions.

Academic Credits & Certificates

All participants who complete the course receive a Certificate of Completion.

A detailedtranscript of topics and learning hours is also available, and can be submitted for creditrecognition (typically 3 ECTS) at your home institution.

Course Fee

£850 – Includes tuition, learning materials, certificate, and access to activities.Accommodation and visa support available separately.

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