Acquire career changing AI/ML skills with Imperial Executive Education
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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
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.
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.
This programme equips professionals with the tools and knowledge to lead in an AI-driven world — combining technical depth with strategic business insight.
Feasibility & Impact Assessment
Evaluate the viability of machine learning solutions and understand their real-world implications for business and society.
Model Selection & Refinement
Identify suitable ML models, apply Python to fine-tune them, and enhance prediction accuracy and performance metrics.
Data Interpretation & Statistical Evaluation
Analyse complex datasets and assess statistical techniques to solve data-driven challenges and drive organisational outcomes.
Generative AI & LLMs
Grasp core concepts of generative AI and explore how large language models (LLMs) function and create value.
Scaling & Deployment of AI Solutions
Optimise and implement generative AI and ML models across real-world business environments for scalable impact.
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.
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.
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.
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.
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.
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. |
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.
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
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...
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.
Flexible payment options are available.
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