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Fundamentals of AI in (Bio)pharma

5-week online academy | 2 hours per week

4 November - 13 December 2019

Online Academy

The use of Artificial Intelligence (AI) in the pharmaceutical industry is increasing at a rapid pace and will inevitably continue to spread as expertise and understanding also grow. Combining big data with machine learning, AI could have a dramatic impact on costly and lengthy drug development processes such as clinical trials, manufacturing and personalised medicines. Where do you begin when trying to understand this new technology? What does a successful AI strategy look like and how do you begin organising your data so you can draw meaningful conclusions?

This 5-week online academy has the answers to these key initial questions. Guided by an expert you will be provided with an understanding of the processes core to the adoption and integration of AI with examples from various sectors. Additional case studies will also provide an insight into how AI is already being leveraged in the pharma and (bio)pharm industry.

With just 2 hours per week of your time required, you will gain a framework enabling you to make judgements about the potential benefits of AI for your organisation. You will learn how to begin formulating an AI strategy and think about how to position your organisation so you can access the technology and talent required to make it work.

  • Become familiar with key terms, concepts and technologies in AI
  • Understand the potential applications of AI through case studies from various sectors including the (bio)pharm industry
  • Gain the confidence to develop an AI strategy
  • Learn how to find, hire, grow and retain AI talent
  • Reflect on ethical considerations related to the use of AI

Ed Day

Ed Day is an expert in AI and Machine Learning with over thirty years’ technical consulting experience. Since 2006, he has been a Senior Lecturer at Canterbury Christ Church University, where he also managed Big Data computing projects combining Machine Learning, Hadoop and Spark technologies. Ed has implemented AI and Big Data projects that analyse Twitter data and forensically analyse mobile phones. He has worked in a range of industries across both the public and private sectors, from financial institutions including American Express, to the Arizona Department of Corrections.

Alexander Antrobus

Alexander is a doctoral candidate in computational neuroscience and machine learning at University College London (UCL). Alexander holds a Masters in applied mathematics from the University of Cape Town. He has taught machine learning and computational neuroscience at UCL and at international summer schools. His research work focuses on translating theory and results from machine learning research into theories of learning in biological systems.

This course is aimed at leaders and decision makers looking to gain an understanding of AI, build an AI strategy and learn more about the applications of AI in the (bio)pharma industry.

PTI online academies are perfect for busy professionals as they require just 2 hours per week of your time, and include an interactive forum for you to ask direct questions about challenges you are facing to expert course leaders.


Modules are released on a weekly basis so you can pace yourself alongside your peers and you will have access to a comprehensive set of assets to support your learning such as video content, quizzes and case studies.

Watch the Online Academy Video