Professional Certificate in Machine Learning and Artificial Intelligence

Leverage the power of data to accelerate your career.

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Course Dates

Course Duration


25 weeks, online
15–20 hours per week

Course Fee


£3,995 or get £399 off with a referral

Course Information Flexible payment available
Course Fee

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Apply, automate and achieve your AI and ML career goals

Machine learning (ML) and artificial intelligence (AI) are pushing the limits of possibility and transforming the world around us. Today, to stay ahead of the curve and seize opportunities for innovation, businesses are quickly realising they must anticipate future trends in ML and AI – and to do so, they must engage professionals who can bridge the gap between vision and execution.

The Professional Certificate in Machine Learning and Artificial Intelligence, a joint programme from Imperial College Business School Executive Education and the Imperial College London's Department of Computing was designed with this need in mind. This 25-week online programme provides an immersive, world-class learning experience delivered by leading experts in the field. It will equip you with a unique combination of advanced technical expertise and business acumen that will give you a competitive edge and help you navigate your job search to find exciting career opportunities in ML and AI.

Programme highlights

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

97 Million

The projected number of jobs created globally by 2025 due to the acceleration of AI

Source: DataProt


The average salary for a machine learning engineer with three years or less of experience

Source: Understanding Recruitment


The expected growth of the global AI market between 2021 and 2028


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

Section 1: Foundations of Machine Learning and Artificial Intelligence
In the first seven modules, you will gain an introduction to the underlying elements of machine learning and its statistical nuances, hone your analytical skills and learn leading-edge techniques for evaluating the performance of a machine learning model.

  • Module 1: Programme Orientation
  • 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: Evaluating Predictive Performance
  • Module 7: Advanced Topics in Performance Evaluation

Section 2: Methods for Learning from Data
In these modules, you will explore how decision trees can be leveraged to classify or predict outcomes and solve real-world problems, dive deep into the predictive power of logistic regression and determine which machine learning methods are best suited for solving real-life problems unique to your industry.

  • Module 8: Nearest Neighbour Methods
  • Module 9: Decision Trees, Part I
  • Module 10: Decision Trees, Part II
  • Module 11: Naïve Bayes
  • Module 12: Bayesian Optimisation
  • Module 13: Logistic Regression
  • Module 14: Support Vector Machines
  • Module 15: Unsupervised Learning
  • Module 16: Principal Component Analysis

Section 3: Advanced Topics in Artificial Intelligence and Machine Learning
In the final modules, you will explore deep learning and its relationship to machine learning and artificial intelligence, discover the underlying elements of convolutional neural networks and finally practise the skills required for real-world model optimisations in your capstone project.

  • Module 17: Introduction to Deep Learning
  • Module 18: Neural Networks
  • Module 19: Hyperparameters
  • Module 20: Transparency and Interpretability
  • Module 21: Convolutional Neural Networks
  • Module 22: Biological Basis for Convolutional Neural Networks
  • Module 23: Reinforcement Learning
  • Module 24: Hyperparameter Tuning
  • Module 25: Capstone Competition

Tools and platforms used in the programme

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Case studies

Case studies and industry examples are drawn from world-class brands and paired with key concepts throughout the programme, providing you the opportunity to examine how machine learning methods can be applied to successfully address business goals.

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
  • Access to resume referrals to our employer partners
  • 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



Professor, Analytics & Operations; Academic Director, MSc Business Analytics; Associate Director, Centre for Process Systems Engineering; Fellow, Computational Optimisation Group; Fellow, Imperial Business Analytics Department of Computing, Imperial College Business School

Wolfram Wiesemann is a professor and group leader of the Computational Optimisation Group in the Department of Computing at Imperial College London. His teaching focuses on linear, discrete and nonlinear optimisation;... More info



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 and computational software frameworks,... More info



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

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 Global Business Analytics MSc.... More info



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 strategy and innovation management.... More info

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


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.


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.


Example image of certificate that will be awarded after successful completion of this program


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.

Download Brochure


  • How do I know if this programme is right for me?

    After reviewing the information on the programme landing page, we recommend you submit the short form above to gain access to the programme brochure, which includes more in-depth information. If you still have questions about whether this programme is a good fit for you, please email, and a dedicated programme advisor will follow up with you very shortly.

    Are there any prerequisites for this programme?

    Some programmes do have prerequisites, particularly the more technical ones. This information will be noted on the programme landing page, as well as in the programme brochure. If you are uncertain about programme prerequisites and your capabilities, please email us at the ID mentioned above.

    Note that, unless otherwise stated on the programme web page, all programmes are taught in English, and proficiency in English is required.

    What is the typical class profile?

    More than 50 per cent of our participants are from outside the United States. Class profiles vary from one cohort to the next, but generally, our online certificates draw a highly diverse audience in terms of professional experience, industry and geography—leading to a very rich peer learning and networking experience.

    What other dates will this programme be offered in the future?

    Check back at this programme web page or email us to inquire if future programme dates or the timeline for future offerings have been confirmed yet.

  • How much time is required each week?

    Each programme includes an estimated learner effort per week. This is referenced at the top of the programme landing page under the Duration section, as well as in the programme brochure, which you can obtain by submitting the short form at the top of this web page.

    How will my time be spent?

    We have designed this programme to fit into your current working life as efficiently as possible. Time will be spent among a variety of activities, including:

    • Engaging with recorded video lectures from faculty
    • Attending webinars and office hours, as per the specific programme schedule
    • Reading or engaging with examples of core topics
    • Completing knowledge checks/quizzes and required activities
    • Engaging in moderated discussion groups with your peers
    • Completing your final project, if required

    The programme is designed to be highly interactive while also allowing time for self-reflection and to demonstrate an understanding of the core topics through various active learning exercises. Please email us if you need further clarification on programme activities.

    What is it like to learn online with the learning collaborator, Emeritus?

    More than 300,000 learners across 200 countries have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 per cent of the respondents of a recent survey across all our programmes said that their learning outcomes were met or exceeded.

    All the contents of the course would be made available to students at the commencement of the course. However, to ensure the programme delivers the desired learning outcomes the students may appoint Emeritus to manage the delivery of the programme in a cohort-based manner the cost of which is already included in the overall course fee of the course.

    A dedicated programme support team is available 24/5 (Monday to Friday) to answer questions about the learning platform, technical issues or anything else that may affect your learning experience.

    How do I interact with other programme participants?

    Peer learning adds substantially to the overall learning experience and is an important part of the programme. You can connect and communicate with other participants through our learning platform.

  • What are the requirements to earn the certificate?

    Each programme includes an estimated learner effort per week, so you can gauge what will be required before you enrol. This is referenced at the top of the programme landing page under the Duration section, as well as in the programme brochure, which you can obtain by submitting the short form at the top of this web page. All programmes are designed to fit into your working life.

    This programme is scored as a pass or no-pass. Participants must complete the required activities to pass and obtain the certificate of completion. Some programmes include a final project submission or other assignments to obtain passing status. This information will be noted in the programme brochure. Please email us if you need further clarification on any specific programme requirements.

    What type of certificate will I receive?

    Upon successful completion of the programme, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools or potential employers. You can use it on your cover letter or resume and/or display it on your LinkedIn profile.

    The digital certificate will be sent approximately two weeks after the programme, once grading is complete.

    Can I get the hard copy of the certificate?

    No, only verified digital certificates will be issued upon successful completion. This allows you to share your credentials on social networking platforms, such as LinkedIn, Facebook and Twitter.

    Do I receive alumni status after completing this programme?

    No, there is no alumni status granted for this programme. In some cases, there are credits that count towards a higher level of certification. This information will be clearly noted in the programme brochure.

    How long will I have access to the learning materials?

    You will have access to the online learning platform and all the videos and programme materials for 12 months following the programme start date. Access to the learning platform is restricted to registered participants per the terms of agreement.

  • What equipment or technical requirements are there for this programme?

    Participants will need the latest version of their preferred browser to access the learning platform. In addition, Microsoft Office and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files and transcripts.

    Do I need to be online to access the programme content?

    Yes, the learning platform is accessed via the internet, and video content is not available for download. However, you can download files of video transcripts, assignment templates, readings, etc. For maximum flexibility, you can access programme content from a desktop, laptop, tablet or mobile device.

    Video lectures must be streamed via the internet, and any livestream webinars and office hours will require an internet connection. However, these sessions are always recorded, so you can view them later.

  • Can I still register if the registration deadline has passed?

    Yes, you can register up until seven days past the published start date of the programme without missing any of the core programme material or learnings.

    What is the programme fee and what forms of payment do you accept?

    The programme fee is noted at the top of this programme web page and usually referenced in the programme brochure as well.

    • Flexible payment options are available (see details below as well as at the top of this programme web page next to FEE).
    • Tuition assistance is available for participants who qualify. Please email

    What if I don’t have a credit card? Is there another method of payment accepted?

    Yes, you can do the bank remittance in the program currency via wire transfer or debit card. Please contact your programme advisor or email us for details.

    I was not able to use the discount code provided. Can you help?

    Yes! Please email us with the details of the programme you are interested in, and we will assist you.

    How can I obtain an invoice for payment?

    Please email us your invoicing requirements and the specific programme you’re interested in enrolling in.

    Is there an option to make flexible payments for this programme?

    Yes, the flexible payment option allows a participant to pay the programme fee in instalments. This option is made available on the payment page and should be selected before submitting the payment.

    How can I obtain a W9 form?

    Please connect with us via email for assistance.

  • Time of Refund Request

    • Within 21 days after course commencement
    • 22 to 45 days after course commencement
    • More than 45 days after course commencement

    Amount Refunded

    • Full refund of course fee (assuming no prior course deferral)
    • 50% of course fee (assuming no prior course deferral)
    • No refund of course fee

Financing Options Available

UK Residents

  • Knoma – Interest-free financing options available.

Rest of the World

You can opt for any one of the financing options to cover up to the full cost of the programme tuition. If you are considering financing your programme through one of our partners, the enrolment process can only be completed with the assistance of your programme advisor.

Please note that loan applications should be submitted no later than four business days prior to the enrolment deadline due to processing time.

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