Driving a Digital Future
The Digital Transformation Technical Leaders Program is a multi-month effort designed to develop scientists and engineers into digital scientists and engineers who will become the technical leaders of tomorrow. Through a combination of training and apprenticeship, real problems from the workplace are taken on. Real-time application of techniques ensures that relevant knowledge is gained throughout the program.
The program empowers scientists and engineers to use complex digital tools to solve tough technical problems, often creating entirely new workflows that can transform the way they work and accelerate science innovation.
Accelerating Skills Development
Everyone is fighting for the same digital talent. You can't hire them, and most companies don't have the resources or capabilities to create them. Enthought does. Enthought trains nearly 1,000 scientists and engineers every year, empowering them with the skills needed to accelerate their work leveraging state-of-the-art scientific computing.
A Program for Developing Technical Leaders
|
Duration + Location |
Learning Activity |
Description |
|
Onsite or Virtual (2 weeks) |
Introductory Courses In Scientific Python | Gain foundational skills |
|
Virtual (5 weeks) |
Capstone Project | Bridging the introductory courses and the apprenticeship, these science-based projects test trainees' ability to apply their python skills in a realistic environment. Regular instructor engagement ensures successful project completion. |
|
Virtual (3-5 weeks) |
Apprenticeship Prep | 1. People Selection
2. Project Selection 3. Data Preparation |
|
Onsite or Virtual (3 weeks) |
Apprenticeship on Projects | Full-time intensive project
+ Daily mentoring/support |
|
Virtual (3+ months) |
Project Work + Individual Mentoring | Ongoing mentorship supports the smooth transition of the apprenticeship project into the participants' real-work environment |
Training Resources
BRIEFING: Next Generation Materials Informatics
JST: Wednesday, October 9, 2024 | 10:00am-10:30am ET: Tuesday, October 8, 2024 | 9:00pm-9:30pm Register (Recording with Japanese subtitles will be shared with registrants) ENTHOUGHT…
[Resource] Materials Informatics: Artificial Intelligence for Curation of Information and Knowledge Acquisition
As competition in new material development intensifies, the importance of knowledge acquisition to accelerate R&D is increasing. Download this book chapter authored by Enthought experts: “Artificial intelligence for curation of information and knowledge.”
What Materials Informatics Looks Like in the Modern R&D Lab
The Modern Materials Science and Chemistry Lab Industry success now more than ever is being dictated by the ability to continuously develop innovative new materials…
Cheat Sheet | Large Language Models+ For Scientific Research
Large Language Models+ For Scientific Research Updated August 2023 LLMs and Tools for R&D To help scientists and researchers navigate the increasing number of advanced…
WEBINAR: What Every R&D Leader Needs to Know About ChatGPT and LLMs
View Webinar-on-Demand Live webinar held on June 27, 2023 Overview ChatGPT and the explosion of advanced Large Language Models (LLMs) are disrupting every industry. We…
WEBINAR: Drug Development in the AI-Driven Lab
October 24, 2023 Overview The recent advancements in artificial intelligence (AI) and large language models have unleashed a new era of possibilities for drug development….
WEBINAR: Materials Informatics for Product Development: Deliver Big with Small Data
May 17, 2023 Overview For many industry labs, scientific data has historically been generated to answer specific, immediate research questions and then archived to protect…
Unlocking the Value of High Throughput Screening Pipelines in Small Molecule Drug Discovery
Transforming High Throughput Screening Data into Actionable Insights with Data Modeling and Visualization A mid-size small molecule cancer therapeutics biotechnology company using a custom high…
Why Top Materials Company Idemitsu Partnered with Enthought to Accelerate Product Innovation using Materials Informatics
Idemitsu’s Path to R&D Digital Transformation Idemitsu has a rich 100 year history of developing products alongside leading OEMs from project onset, and today is…
[eBook] Digital Transformation in the Life Sciences Industry
The Lab of the Future: Barriers to Digital Transformation in the Life Sciences Industry Experts predict over the next two years, life sciences companies will…
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