
Acquire career changing AI/ML skills with Imperial Executive Education
The programme learning will pause for holidays during Christmas & New Year (24 Dec 2025 – 1 Jan 2026)
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The Professional Certificate Programme in Artificial Intelligence and Machine Learning by Imperial Executive Education offers a powerful foundation to thrive in today’s fast-moving tech landscape. Over seven months, you’ll gain practical experience in machine learning, Generative AI, and large language models (LLMs) — guided by world-renowned Imperial College faculty.
If you're looking to break into AI or accelerate your career growth, this programme equips you with the credibility, capabilities, and confidence to succeed — all backed by Europe’s #1 University.
Imperial Executive Education drives global business and social transformation through the fusion of business, technology, and an entrepreneurial mindset. As part of Imperial College London, Imperial Executive Education brings world-class academic insight to professionals aiming to lead with data, technology, and innovation.

Learn from Imperial Faculty
Gain access to recorded content delivered by esteemed Imperial faculty, one of the world’s leading institutions in science and technology.

Build Job-Ready AI/ML Skills
Master the most in-demand tools and technologies through 14 industry-focused case studies and hands-on experience with 15+ tools and libraries.

Capstone Project
Apply your knowledge to a comprehensive Capstone Project simulating real-world problemsolving in machine learning.

Live Industry Sessions
Participate in live, interactive sessions led by experienced industry professionals, offering practical insights and real-world applications of AI and ML.

Immersive Learning Experience
Engage in a robust learning environment with graded quizzes, active discussion boards, and 35+ mini projects and assignments designed to reinforce concepts and encourage practical learning.

Earn Alumni Status
On successful completion, receive Associate Alumni Status from Imperial College Business School Executive Education, joining a global network of accomplished professionals.

Global Credential
A verified digital Certificate of Completion issued on behalf of Imperial Executive Education
This programme is designed to equip professionals with the critical tools and knowledge needed to lead in today’s AI-driven landscape. Through a blend of technical skills and strategic insight, you’ll gain the ability to evaluate, implement and scale machine learning and AI solutions that drive real business value.

Feasibility & Impact Assessment

Model Selection & Refinement

Data Interpretation & Statistical Evaluation

Generative AI & LLMs

Scaling & Deployment of AI Solutions

Learn at Your Own Pace
100% recorded video lectures* by Imperial faculty, designed for flexible learning

Engage in Weekly Live Sessions
Interactive sessions with domain experts* bringing real-world insights and applications

Capstone Project
A unique project based on a real-world ML competition to showcase applied skills

Hands-On Learning
30+ mini projects, 20+ assignments, 10+ real-world case studies, and 15+ industry-leading tools

Career Services
6 months of IIMJobs Pro subscription, resume builder, and dedicated career prep sessions

Global Community
Opportunity to join an active global community of Imperial Executive Education learners and professionals
Note: *100% recorded weekly lectures by Imperial faculty. Some weeks are primarily application-focused and do not have faculty recorded lectures and will only have live hands-on sessions by industry experts
*Domain expert refers to a professional with strong subject-matter knowledge aligned with the programme
Structured across four pillars, this programme combines rigorous academic learning with real-world application. Each module is designed to build deep technical competence and practical fluency in machine learning and AI.
Put your learning to the test in a high-stakes simulation modelled on real ML challenges used by top tech firms. You’ll work with a hidden black-box model and a pre-built PyTorch codebase to optimise outcomes through experimentation, smart parameter tuning, and strategy — just like real-world data scientists.
Interact with the model via a defined interface, apply techniques like grid search or Bayesian optimisation, and fine-tune key parameters to improve performance. You’ll test your solutions under consistent conditions, log results, and submit your final approach — with top entries getting showcased to peers.
Build and submit a working machine learning solution that optimises a hidden model’s output.
Apply advanced techniques like gradient-free optimisation and strategic parameter tuning to elevate performance.
Use Python-based templates to implement your approach, iterate, and refine your results for maximum impact.

Netflix
Explore how predictive modelling drives Netflix’s content recommendations to boost viewer engagement.

Zillow
See how Zillow uses advanced analytics to improve home price predictions beyond traditional valuation methods.

DHL
Learn how DHL leverages predictive analytics to reduce fleet maintenance costs and enhance performance.

Deutsche Telekom
Discover how machine learning helps Deutsche Telekom proactively reduce customer churn.

Alibaba Group
Understand how Alibaba uses data to optimise last-mile delivery via strategic pickup centre placement.

IBM Watson
Examine how IBM balances accuracy and transparency when deploying explainable AI solutions.

Spotlight and profile boost for applied jobs
Chat with recruiters who shortlist your profile
Access to job insights

6-month access to DIY resume builder
Auto resume creator with optimization suggestions
Unlimited resume iterations within the duration

Resume and cover letter essentials
Maximizing LinkedIn and job search strategy
Interview preparation and personal branding
Note: Imperial or Emeritus do not promise or guarantee a job or progression in your current job. Career Services is only offered as a service that empowers you to manage your career proactively. The Career Services mentioned here are offered by Emeritus. Imperial is NOT involved in any way and makes no commitments regarding the Career Services mentioned here.

Head of Department of Analytics, Marketing and Operations Department of Analytics, Marketing and Operations Imperial College Business School
Professor Wolfram Wiesemann is the Head of Analytics, Marketing & Operations at Imperial College Business School and holds a courtesy appointment in the Department of Computin...

Professor in Computational Optimisation Department of Computing, Faculty of Engineering
Professor Ruth Misener is a Professor of Computational Optimisation in the Department of Computing at Imperial College London. She holds a BS in Chemical Engineering from MIT ...

Data Scientist, Senior Teaching Fellow
Dr. Alex Ribeiro-Castro is a Data Scientist and Senior Teaching Fellow in the Operations Management Department at Imperial College Business School. He earned his MA and PhD in...

Professor of Digital Strategy and Innovation Imperial College Business School
Professor Christopher L. Tucci is Professor of Digital Strategy & Innovation at Imperial College Business School and Director of the Centre for Digital Transformation. He hold...
Take your partnership with Imperial Executive Education to the next level by becoming an associate alumnus. Complete the programme to claim your associate alumni status and join our active community.

Earn a Certificate and Join a Global Network
Upon successfully completing the programme, you will be awarded a verified Digital Certificate of Completion. To successfully complete this programme and receive a certificate of completion, you must score a minimum of 75%. You’ll also gain associate alumni status, giving you access to Imperial Executive Education’s vibrant global community of learners and professionals.
Note: *100% recorded weekly lectures by Imperial faculty. Some weeks are primarily application-focused and do not have faculty recorded lectures and will only have live hands-on sessions by industry experts **Domain expert refers to a professional with strong subject-matter knowledge aligned with the programme. ***Recommended: Experience with Python, R, or SQL, and familiarity with statistics and calculus, an educational background in STEM fields, technical work experience, functional experience with Python, R or SQL, strong experience with statistics and calculus
Flexible payment options are available.
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