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
  • 6 months IIMJobs Pro subscription
  • 100% pre-recorded content by Imperial Executive Education faculty
Total Work Experience

Round Deadline

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What Makes This Programme An Outstanding opportunity to succeed

  • A unique gamified, Capstone project based on NeurIPS black-box ML competition

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

  • Opportunity to join an active global community of Imperial Executive Education learners

Programme Overview

As AI and machine learning reshape the future of work, both early-career and experienced professionals must advance beyond traditional technical skill sets to remain competitive and relevant. The next big leap in your career today demands crucial key differentiators like global credentials and hands-on expertise.

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.

Fresh graduates can build job-ready, in-demand skills to stand out in a competitive job market. Mid-level professionals can deepen their expertise, lead AI-driven transformation, and unlock higher-paying, future-forward roles — all without stepping away from their current jobs.

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. Business courses with Imperial Executive Education allow you access to our transformative community which provides an outstanding participant experience. We are pioneers for innovative learning experiences.

#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)

Develop Industry-Relevant Skills You Will Acquire

This programme equips professionals with the tools and knowledge to lead in an AI-driven world — combining technical depth with strategic business insight.

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Feasibility & Impact Assessment

Evaluate the viability of machine learning solutions and understand their real-world implications for business and society.

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Model Selection & Refinement

Identify suitable ML models, apply Python to fine-tune them, and enhance prediction accuracy and performance metrics.

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Data Interpretation & Statistical Evaluation

Analyse complex datasets and assess statistical techniques to solve data-driven challenges and drive organisational outcomes.

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Generative AI & LLMs

Grasp core concepts of generative AI and explore how large language models (LLMs) function and create value.

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Scaling & Deployment of AI Solutions

Optimise and implement generative AI and ML models across real-world business environments for scalable impact.

The Learning Journey

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Learn from the Best

Access 48 hours of recorded lectures from world-renowned Imperial College London faculty, complemented by 96 hours of live, interactive sessions led by experienced industry practitioners.

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Gain Practical AI/ML Skills

Work through 14 industry-focused case studies and get hands-on with 15+ cutting-edge tools and libraries to build in-demand AI/ML capabilities.

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Engage in Active Learning

Reinforce your knowledge through 35+ mini projects, assignments, graded quizzes, and peer interaction via discussion boards for continuous feedback and collaboration.

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Solve a Real-World Problem

Apply your learning in a Capstone Project inspired by the NeurIPS 2020 competition, simulating an actual machine learning challenge for practical skill validation.

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Earn Global Recognition

Receive a verified Digital Certificate Of Completion and gain Associate Alumni Status from Imperial College Business School Executive Education—joining a global network of professionals.

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 & Academics

Graduates or researchers from science, technology, engineering, or mathematics fields aiming to transition into applied AI careers, contribute to impactful projects, or upskill for industry roles.

  • Senior Professionals & Functional Leaders

Leaders aiming to gain in-depth technical understanding of AI to evaluate high-impact use cases, guide cross-functional teams, and drive innovation in a tech-first business environment.

Mandatory: A bachelor's degree or higher, Math skills and programming experience, Written and debugged code in at least one programming language

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.

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

Career Services Included :

IIMJobs Pro subscription for 6 months

- Spotlight and profile boost for applied jobs

- Chat with recruiters who shortlist your profile

- Access to job insights

Resume-builder tool

- 6-month access to DIY resume builder

- Auto resume creator with optimization suggestions

- Unlimited resume iterations within the duration

Career preparation modules

- Resume and cover letter essentials

- Maximising LinkedIn and job search strategy

- Interview preparation and personal branding

Career Exercises Focused On Launching A Career in AI and ML

- Gain a strategic overview of today’s job market along with projections for the next five years

- Stay ahead with expert-led insights on leading companies, emerging trends, and tailored interview strategies

- Connect and collaborate with a global network of peers, industry practitioners, and faculty members

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...

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.

Early registrations are encouraged. Seats fill up quickly!

Flexible payment options are available.

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