
Acquire career changing AI/ML skills with Imperial Executive Education
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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.

Learn from Imperial Faculty
Access recorded sessions from world-class Imperial faculty— ranked #1 in Europe, #2 globally.

Weekly Live Sessions
Engage with domain experts through interactive, live classes.

Build Job-Ready AI/ML Skills
Work with 15+ leading tools and solve 14 real-world industry cases.

Gamified Capstone Project
Tackle simulation-based, hands-on problem-solving in AI & ML.

Applied Learning Experience
35+ mini projects, quizzes, and peer discussions to reinforce skills.

Associate Alumni Status
Join the global Imperial College Business School executive education network.

Global Credential
Earn a verified Certificate of Completion from Imperial Executive Education.

Career Services
6 Months IIMJobs Pro access, resume builder tool, career prep modules
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 domain experts
*Domain expert refers to a professional with strong subject-matter knowledge aligned with the programme

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...

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Zillow

DHL

Deutsche Telekom

Alibaba Group

IBM Watson
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.
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.
Module 0: Python Refresher
Module 1: Mathematical Concepts in ML/AI
Module 2: Introduction to Machine Learning
Module 3: Probability for Machine Learning
Module 4: Statistics for Machine Learning
Module 5: Generalisation Theory and the Bias-Variance Trade-Off
Module 6: Basics of predictive performance evaluation
Module 7: Advanced Topics in Performance Evaluation
Module 8: Nearest Neighbour Methods
Module 9: Decision Trees, Part I
Module 10: Decision Trees, Part II
Module 11: Naive Bayes
Module 12: Bayesian Optimisation
Module 13: Logistic Regression
Module 14: Support Vector Machines
Module 15: Neural Networks and Deep Learning : Part I
Module 16: Neural Networks and Deep Learning : Part II
Module 17: Neural Networks and Deep Learning : Part III Convolutional Neural Networks
Module 18: Hyperparameters & Hyperparameter tuning
Module 19: Foundation of Generative AI & Large Language Models (LLMs)
Module 20: Advance GenAI and LLMs
Module 21: Transparency and Interpretability
Module 22: Unsupervised Learning: Part One: Clustering Techniques
Module 23: Unsupervised Learning: Part Two: Principal Component Analysis
Module 24: Reinforcement Learning
Module 25: Capstone Competition
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.

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.

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.
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
Evaluate the feasibility of machine learning solutions for specific business challenges.
Determine the appropriate machine learning methods to improve predictive performance and decision-making strategies.
Analyse the real-world implications of artificial intelligence.
Analyse complex datasets using machine learning to improve organisational performance.
Refine machine learning models using Python to enhance performance metrics.
Evaluate the feasibility of probabilistic and statistical techniques in addressing data.
This program is taught by both Imperial faculty and domain experts. Weekly recorded videos are by Imperial Faculty, and weekly live sessions are conducted by domain experts. Some weeks do not have recorded lectures by Imperial faculty and will only have live sessions by domain experts.
Assignments will be graded by domain experts who support participants in their learning journeys and/or by the Emeritus grading team.
This program is designed with some of the best faculty to cover relevant topics in a manner that creates positive career outcomes. Additionally, we provide a 6-month IIMJobs Pro Membership with access to job insights, recruiter actions, profile boosts, and an AI powered resume builder. Career prep modules on resumes, LinkedIn profile optimization, job navigation and interview preparation are also provided.
We encourage our learners to complete the program to fully understand the concepts and derive valuable learning outcomes. Absent a previous approved request for deferral for the course, learners may request a full refund of all course and miscellaneous fees paid, within fourteen (14) days after course commencement. Application fees for courses are non-refundable and non-transferable. Learners who have previously been granted a course deferral are not eligible for a refund for the course. Partial (or pro-rated) refunds are not offered.
Upon successful completion of the program, you will receive a smart digital certificate from Imperial Executive Education. This can be shared with friends, family, schools, or potential employers. You can use it in your cover letter and resume and/or display it on your LinkedIn profile.
You will have access to the online learning platform and all the videos and program materials for 12 months following the program end date. Access to the learning platform is restricted to registered participants per the terms of the agreement.
Yes, the qualifying mark is 75% and minimum 50% attendance on live sessions are recommended
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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