Professional Certificate in Machine Learning and Artificial Intelligence

Develop advanced AI/ML skills to refine decision-making strategies and solve business challenges
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Key takeaways

The programme covers cutting-edge skills and business strategies in machine learning and artificial intelligence. It will enable you to:

  • Understand foundational and advanced concepts and trends in artificial intelligence, as well as potential real-world implications

  • Determine when machine learning is feasible and can be meaningfully applied to specific business challenges

  • Leverage the power of data and evaluate common machine learning methods to improve predictive performance and refine decision-making strategies

  • Develop and refine machine learning models using Python and industry standard tools to measure and improve performance

  • Identify real-world problems and devise innovative solutions using machine learning models

Testimonials

The programme structure was excellent. The level of learning was pitched well, and a lot of material was covered in a short space of time. The middle third of the programme, which introduced different...
Chris Nightingale,
Management Consultant,
PA Consulting Group
All the modules were great because of the addition of tutorials for real-life applications supported by tools and platforms used in the programme and videos. Office hours and support from both learnin...
Sebastiano Gadolini,
Early-Stage Researcher,
Johnson Matthey

Tools and platforms used in the programme

Case studies and industry examples featured in the programme will help you better understand customer behaviour and the use of analytics in customer segmentation and targeting.

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Who is this programme for?

The Professional Certificate in Machine Learning and Artificial Intelligence requires a background in coding or mathematics. It is particularly relevant for professionals including:

  • IT and Engineering professionals looking to receive hands-on training in ML and AI and upskill themselves in a high-growth field. Job titles may include software engineers and software developers.
  • Data and business analytics professionals who wish to learn about the latest AI tools, techniques and applications to stay ahead of the curve and gain better growth trajectories. Job titles may include business analysts, senior data analysts and data scientists.
  • Recent science, technology, engineering and mathematics (STEM) graduates and academics who are interested in being a part of a cutting-edge field with high growth potential and using technology to make a positive impact on the world.

Applicants must have:

  • A bachelor's degree or higher

  • Strong mathematics skills

  • Some programming experience

Also recommended:

  • An educational background in STEM fields

  • Technical work experience

  • Some experience with Python,R, or SQL

  • Some experience with statistics and calculus

What you will learn

Case Studies

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NETFLIX

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ZILLOW

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DHL

Capstone competition

For your capstone project, you will challenge your knowledge by developing and/or tuning a code base for a custom-designed machine learning competition modeled after the popular Black-Box Optimisation Challenge. You will practise the skills required for real-world model optimisations for a problem of your choice.

The competition takes place during the last 12 weeks of the programme, enabling you to see how tuning your code base improves optimisation on the competition’s leaderboard.

At the conclusion of the programme, you will have built a resume-boosting code base and amassed the skills needed to enter future competitions for prestige, cash prizes and career recognition.

Programme experience

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Job-ready ML/AI skills in a high-demand field

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Real-world insights from Imperial College London faculty and industry experts

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A hands-on capstone project to share with potential employers

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A verified digital certificate of completion from Imperial College Business School Executive Education

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Associate alumni status from Imperial College London on programme completion

Career preparation and guidance

Breaking into the field of machine learning and artificial intelligence requires a precise combination of technical knowledge and business acumen. Our programme will guide you in developing a career path by assisting you in crafting your elevator pitch and sharpening your interview skills. These services are provided by Emeritus, our learning collaborator for the programme. The support team includes programme leaders and career coaches who will help you reach your learning goals and navigate your job search. The primary goal is to equip you with the skills needed to prepare for a career in machine learning and artificial intelligence. However, we do not guarantee a job placement.

Emeritus offers assistance with the following career services:

  • Live career coaching and open Q&A sessions, resume feedback, mock interviews and career development exercises

  • A birds's-eye view of the current job market landscape and five-year market trajectory

  • Assistance in crafting your elevator pitch and preparing for job interviews

  • Insights on negotiating your salary and opportunity to network with global peers and instructors

  • Insights into key industry players, latest trends and industry-specific interviews

Programme faculty

Faculty Member PROFESSOR WOLFRAM WIESEMANN
PROFESSOR WOLFRAM WIESEMANN

Professor of Analytics and Operations; Head of the Analytics, Marketing and Operations Department; Fellow, Imperial Business Analytics Centre Operations Management Department, Imperial College London

Wolfram Wiesemann is a professor of analytics and operations as well as the head of the Analytics, Marketing and Operations department at Imperial College Business School. In ...

Faculty Member Professor PROFESSOR RUTH MISENER
PROFESSOR RUTH MISENER

Professor, Computational Optimisation Department of Computing, Imperial College London

Ruth Misener is a Professor of Computational Optimisation in the Department of Computing at Imperial College London. Her research focuses on numerical optimisation algorithms ...

Faculty Member Professor DR ALEX RIBEIRO-CASTRO
DR ALEX RIBEIRO-CASTRO

Data Scientist, Senior Teaching Fellow Operations Management Department, Imperial College London

Dr Alex Ribeiro-Castro is a Data Scientist and Senior Teaching Fellow with the Operations Management Department at Imperial College Business School. He also teaches in the Glo...

Faculty Member Professor PROFESSOR CHRISTOPHER TUCCI
PROFESSOR CHRISTOPHER TUCCI

Professor, Digital Strategy and Innovation Imperial College Business School

Christopher Tucci is a Professor of Digital Strategy and Innovation at Imperial College Business School. Professor Tucci’s teaching focuses on design thinking, digital strateg...

Become an associate alumni

Take your partnership with Imperial College Business School to the next level by becoming an associate alumnus. Complete the programme to claim your associate alumni status and join our active community.

The Imperial learning experience

Human

At Imperial College Business School, we create people-centric learning experiences. From conception through to delivery, we are guided by the principle that learning is a creative, personal and above all, human process. Our high quality, crafted learning environments are highly interactive, community-orientated and actively tutored. Our programmes offer an engaging experience designed to facilitate natural learning behaviours.

Real

No compromises. Our online programmes offer the absolute equivalent of our campus-based programmes. They adopt the same rigorous academic standards, are delivered via our world-leading faculty and offer a comparable high-touch approach to the classroom experience.

Certificate

Certificate

Upon completion of the programme, participants will be awarded a verified digital certificate by Imperial College Business School Executive Education and the Imperial College London Department of Computing.

FAQs

Financing Option

We want to ensure that the Professional Certificate in Machine Learning and Artificial Intelligence is accessible to all. As such, we offer the following financing option:

Flexible Payment Option (For All Countries)

Choose to make your payment in two, three, or six instalments for higher flexibility.

Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Programme Advisers or call us at +44 11 4697 4544 (UK) / +1 315 618 2562 (US) / +65 3129 8674 (SG)

Early registrations are encouraged. Seats fill up quickly!

Flexible payment options available.

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