Deploy Python Apps & Docs For Free

A new platform is looking for Alpha testers. Sign up, it's free!


Artificial intelligence (AI) and machine learning (ML) technologies are having a significant impact on innovation, with pharma and biotech being the latest industry to be affected. With the connection between drug discovery, technology, and business now clear, leaders and scientists need to become better equipped to leverage new developments in AI and ML.

In the Artificial Intelligence in Pharma and Biotech online short course from the MIT Sloan School of Management, you’ll gain insight into how technology is currently being applied in the pharmaceutical industry. Over six weeks, you’ll explore ways that ML is driving new drug discovery, learn how AI can be used to create more accurate biological and generative modeling, and explore how ML can be used to streamline the design and management of clinical trials. You’ll walk away with an understanding of the benefits and challenges of these technologies, allowing you to make informed, innovative decisions within this rapidly evolving space.Read more.

Career Relevance by Data Role

The techniques and tools covered in Artificial Intelligence in Pharma and Biotech are most similar to the requirements found in Data Scientist job advertisements.

Similarity Scores (Out of 100)