Course 1 – LAIC

Applied Artificial Intelligence: CreatingBusiness 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

Teacher

summer

What's included?

More Informations

Duration time

Classe

Price

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?

Learning Format

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.