The programme covers cutting-edge skills and organisational strategy in ML and AI. It will enable you to:
Evaluate the feasibility of machine learning solutions for specific business challenges.
Determine the appropriate machine learning methods to improve predictive performance and decision-making strategies.
Analyse the real-world implications of artificial intelligence.
Analyse complex datasets using machine learning to improve organisational performance.
Refine machine learning models using Python to enhance performance metrics.
Evaluate the feasibility of probabilistic and statistical techniques in addressing data.
Examine generative AI principles and the mechanics of LLMs.
Analyse how to scale, optimise, and apply generative AI models across real-world business scenarios.
This programme introduces learners to the core principles of machine learning and artificial intelligence, including the role and applications of generative AI.
Job-ready ML/AI skills in a high-demand field
Real-world insights from Imperial Executive Education faculty and industry experts
A hands-on capstone project to share with potential employers
A verified digital certificate of completion from Imperial Executive Education
Associate alumni status from Imperial Executive Education on programme completion
Explore applications of generative AI (GenAI)
Breaking into the field of ML and AI 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 ML and AI. 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
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 Executive Education. In addi...
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 ...
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 Executive Education. He also teaches in the Global ...
Professor, Digital Strategy and Innovation Imperial Executive Education
Christopher Tucci is a Professor of Digital Strategy and Innovation at Imperial Executive Education. Professor Tucci’s teaching focuses on design thinking, digital strategy an...
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.
Upon completion of the programme, participants will be awarded a verified digital certificate by Imperial Executive Education and the Imperial College London Department of Computing.
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 +44 114 697 4544 (UK) / +1 315 618 2562 (US) / +65 3129 8674 (SG).
Flexible payment options available.
Starts On