About
Courses
Experience
Generative AI
Short Course
Includes:
- Machine learning, NLP Language models, and more
Learn to:
- Spot AI applications relevant to your domain
- Understand the core principles of machine learning
- Communicate effectively with data scientists and AI vendors
- Lead AI-driven initiatives that align with strategic goals
Your career is evolving. Are you?
AI is changing the way we work, making tasks faster, smarter, and more efficient. But to truly take advantage of its power, you need to understand how it works. This course will give you a clear, practical foundation in Generative AI—how it learns from data, generates content, and evolves to solve complex problems. You'll discover how AI can enhance productivity, automate repetitive tasks, and unlock new opportunities in your role. Whether you want to stay ahead of industry changes or make more informed decisions about AI-powered tools, this course will help you confidently navigate the future of work.
Course Duration
Next Cohort
6 weeks part-time
05/05/2025
Imperial College London is partnering with online education provider HyperionDev to offer a portfolio of high impact outcomes-oriented online learning programmes. These programmes are provided by HyperionDev and quality assured by Imperial College London to leverage their thought leadership in technical practice developed over decades of expertise.
About
Courses
Experience
Change the way you work with a
“...do this and get to the point where you really are job-ready in a short period of time.”
Dr Mark Thomas Kennedy
Director of Imperial Business Analytics and Co-director of the DSI
Imperial College London
A life changing experience
Tech Industry Transition*
86%
Employment Rate*
88%
Student Population*
13,000+
Salary Growth*
178%
*According to the HyperionDev 2024 Graduate Outcomes Report
Harness the power of AI and build the career you deserve
Future-proof your skills and adapt with GenAI functions.
Gain the competitive edge by understanding AI techniques.
Learn to use AI to maximise impact and minimise risks.
What you’ll learn
In this short course, you will:
Identify opportunities: Spot AI applications relevant to your domain.
Champion innovation: Lead AI-driven initiatives that align with strategic goals.
Foster collaboration: Communicate effectively with data scientists and AI vendors.
Evaluate investments: Assess potential AI investments with a critical, informed lens.
Ensure accountability: Recognise risks like bias, security, and compliance concerns.
Flexible learning,
real-world impact
Hands-on exercises
Gain AI literacy in
just a few weeks
Who is this course for?
Executive and leadership roles leverage AI to drive strategic business decisions, align technology with organisational goals, and maximise business value.
Executive & Leadership Roles
Data and analytics roles focus on building and maintaining ML systems, interpreting AI insights, and supporting data-driven decisions.
Data & Analytics Roles
Marketing and customer experience roles use AI to enhance audience targeting, content creation, and campaign optimisation.
Marketing & Customer Experience
Product and operations roles leverage AI to enhance product performance, optimise logistics, and improve efficiency.
Product & Operations
HR and talent management roles utilise AI to enhance recruitment, workforce planning, and employee development.
HR & Talent Management
Tech and innovation-focused roles drive AI advancements and strategic implementation, while AI/ML research scientists explore new techniques.
Tech & Innovation-Focused Roles
Finance and risk management roles utilise AI to enhance decision-making, risk mitigation, and regulatory compliance.
Finance & Risk Management
Healthcare and life sciences roles leverage AI to improve decision-making, research, and drug discovery.
Healthcare & Life Sciences
Retail and e-commerce roles use AI for personalised recommendations and dynamic pricing to forecast demand.
Retail & E-commerce
Course outline
Kickstart your journey with an overview of the course structure, learning outcomes, and resources.
Module
Machine Learning Fundamentals
Get introduced to the basics of machine learning and the math behind AI, including how linear regression can forecast sales and drive smarter business decisions.
Module
Development and Analysis
Apply clustering techniques to uncover patterns in datasets. Analyse a customer churn case study to apply your skills in a real-world business context.
Module
Natural Language Processing (NLP)
Explore essential techniques to diagnose customer sentiment and methods used in recommendation systems.
Module
Deep Learning
Dive into neural networks and how they learn from data to make intelligent predictions.
Module
Sequential Models and Generative AI
Discover how large language models (LLMs) work—the same technology behind chatbots and AI.
Module
Practical AI Application
Reflect on your learning journey and identify opportunities to apply AI techniques in your field.
Hear from our participants
Enrico
Enrico, a recent participant of Imperial College London and HyperionDev's Data Science Bootcamp, shares his journey. From London, he reflects on his decision to join, praising the mentorship and career support. Enrico tackled challenging projects, like Minesweeper, showcasing newfound problem-solving skills. He credits the bootcamp for boosting his confidence, leading him to secure a role in data.
Data Science Bootcamp
Find out more
Register your interest now. Our Admissions team will contact you with more information.
Secure your spot
Enrol in this short course with a one-time upfront payment.
Complete your enrolment now to reserve your place in the next cohort.
Get in touch
Let us know how we can help
Contact Admissions
Telephone: +44 20 3049 9069
Email: admissions@hyperiondev.com
No coding experience required
Study from anywhere
