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Applied Artificial Intelligence: Creating Business Outcomes

Course Objectives

  • 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

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.

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)

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

Dr. Asif Khan

  • Visiting Lecturer, London AI Centre
  • PhD in Artificial Intelligence

Bio

Dr. Asif specialises in applied AI and has worked with companies to develop AI solutions for various applications. Currently he is Senior ML Engineer at 20Face and lecture at Saxion University.

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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