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Professional Certificate Programme in Artificial Intelligence and Machine Learning

Acquire career changing AI/ML skills with Imperial Executive Education

  • Ranked #1 in Europe and #2 globally (QS 2025 Rankings)
  • Associate Alumni status from Imperial Executive Education
  • 100% pre-recorded content by Imperial Executive Education faculty
  • Weekly live sessions by domain experts
Total Work Experience

The programme learning will pause for holidays during Christmas & New Year (24 Dec 2025 – 1 Jan 2026)

Celebrate Growth

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What Makes This Programme An Outstanding opportunity to succeed

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Programme Overview

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.

78%

of Global Capability Centres (GCCs) in India are actively up-skilling teams for GenAI adoption
Source: EY Report

1 million

The demand for AI professionals is on track to hit 1 million by 2026
Source: Times Of India

About Imperial Executive Education

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.

#1

QS World University Rankings-2025 (Europe)

#1

Daily Mail University Guide-2025 (UK)

#2

The Complete University Guide-2025 (London)

#2

The Guardian University Guide- 2024 (London)

#3

The Higher Education World University Rankings-2024 (Europe)

Programme Highlights

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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.

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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.

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Capstone Project

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

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Live Industry Sessions

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

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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.

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Earn Alumni Status

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

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Global Credential

A verified digital Certificate of Completion issued on behalf of Imperial Executive Education

Develop Industry-Relevant Skills You Will Acquire

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.

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Feasibility & Impact Assessment

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Model Selection & Refinement

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Data Interpretation & Statistical Evaluation

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Generative AI & LLMs

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Scaling & Deployment of AI Solutions

Who Should Apply

The Professional Certificate Programme in Artificial Intelligence and Machine Learning benefits from a background in math or programming. However, even without prior coding experience, the structured learning path and hands-on projects will help you build core technical skills from the ground up.

It is particularly relevant for the following professionals:


  • Software Engineers, IT and Engineering Professionals
    Professionals looking to transition into AI/ML roles or enhance their current systems with AI capabilities. Ideal for those in software, infrastructure, cloud, or DevOps roles seeking hands-on expertise
  • Data Analysts & Data Scientists
    Data analysts, scientists, and BI professionals aiming to level up with advanced AI/ML techniques to drive automation, prediction, and intelligent decision-making.
  • Business Analysts, Consultants & Product Managers
    Those looking to leverage AI for decision-making, automation, and customer experience. Even without deep coding experience, the program enables you to evaluate and apply AI effectively.
  • STEM Graduates
    Graduates from science, technology, engineering, or mathematics fields aiming to transition into applied AI careers, contribute to impactful projects, or upskill for industry roles.

Applicants must have:

  • A bachelor's degree or higher

  • Math skills and programming experience

  • Experience with Python, R , SQL, and familiarity with statistics and calculus

Also recommended:

  • An educational background in STEM fields

  • Technical work experience

  • Functional experience with Python, R or SQL

  • Strong experience with statistics and calculus

Why is this programme one of a kind?

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Learn at Your Own Pace 

100% recorded video lectures* by Imperial faculty, designed for flexible learning 

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Engage in Weekly Live Sessions 

Interactive sessions with domain experts* bringing real-world insights and applications

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Capstone Project 

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

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Hands-On Learning 

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

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Career Services 

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

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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 

A Curriculum Designed for Career Success

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.

Tools and Libraries

Note:

  • All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.

Mini Projects and Assignments

Logistics

DHL: Real-World Operations Optimisation

  • Use DHL data to identify delivery bottlenecks and improve logistics with ML models.

  • Skills you will learn: Logistic Regression, Data Cleaning, Data Visualisation, Pandas, NumPy

Retail Analytics

Predictive Modeling on Real-World Customer Data

  • Forecast customer behaviour using real data and fine-tuned ML models.

  • Skills you will learn: Supervised Learning, Validation Techniques, Python, Scikit-Learn, EDA

Human Resources & Salary Prediction

Predicting Income Brackets Using Census Data

  • Predict income levels using classification on UCI census data.

  • Skills you will learn: Classification, Data Preprocessing, Feature Engineering, Decision Trees, Model Evaluation

Unsupervised Learning

Clustering a Real-Life Dataset

  • Group similar records using k-means and hierarchical clustering.

  • Skills you will learn: Clustering, k-Means, Hierarchical Clustering, Matplotlib, EDA

Deep Learning & Model Optimization

Building and Optimizing a Neural Network with PyTorch

  • Build and tune a neural network for a specific application using PyTorch.

  • Skills you will learn: Neural Network Architecture, PyTorch, Backpropagation, Weight Initialization, Gradient Descent

AI Ethics & Explainability

Model Card Analysis for AI Transparency

  • Assess a model card for ethical transparency and responsible AI.

  • Skills you will learn: Model Documentation, Responsible AI, Bias Analysis, Interpretability, Industry Best Practices

Capstone Project: Real-World Black-Box Optimisation Challenge

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.

Key Outcomes

  • 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.

Career Services Provided By Emeritus

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IIMJobs Pro subscription for 6 months
  • Spotlight and profile boost for applied jobs

  • Chat with recruiters who shortlist your profile

  • Access to job insights

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Resume-builder tool
  • 6-month access to DIY resume builder

  • Auto resume creator with optimization suggestions

  • Unlimited resume iterations within the duration

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Career preparation modules
  • 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.

Programme Faculty

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PROFESSOR WOLFRAM WIESEMANN

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...

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PROFESSOR RUTH MISENER

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 ...

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DR ALEX RIBEIRO-CASTRO

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...

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PROFESSOR CHRISTOPHER L. TUCCI

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...

Become an associate alumni

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.

Certificate

Certificate

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.

Frequently Asked Questions

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

Early registrations are encouraged. Seats fill up quickly!

Flexible payment options are available.

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