EVENTS

AI Strategies and Roadmap: Systems Engineering Approach to AI Development and Deployment

As easy as mainstream artificial intelligence tools are to use, AI is far from simple. Engineers have a duty to employ AI responsibly and intelligently to harness all it has to offer to address industry challenges.

In the five-day course participants will examine the types of tasks best suited to machines and ones that require the unique skillsets of humans. Additionally, learners will acquire practical experience building machine learning models and algorithms, instilling an appreciation of the complexity of end-to-end AI systems.

AI System Architecture and Large Language Model Applications
Professionals across industries are rapidly adopting artificial intelligence and large language models (LLMs) to streamline workflows and optimize operations. However, understanding the fundamental building blocks of AI architecture is critical before successfully deploying LLMs in real-world applications.

Participants in this 5-day course will deepen their understanding of AI architecture and gain hands-on experience with the tools, skills, and strategies that are integral to successfully deploying LLMs.


What to Expect from the Open House:

*Curriculum Insights: Get an in-depth walkthrough of the content, tools, and methodologies taught in these courses.
*Learning Outcomes : Understand how these programs prepare you to address complex challenges in real-world industries.
*Workplace Impact: Discover how what you learn can inspire innovative solutions to elevate your organization.
*Interactive Q&A : Ask David Martinez, a Laboratory Fellow in the Cyber Security and Information Sciences Division at MIT Lincoln Lab your most pressing questions during a live session.

Questions? Contact us at shortprograms@mit.edu

Cell therapy is revolutionizing healthcare by bringing life-changing treatments to patients. Are you ready to bring the next breakthrough cellular therapy to market? In this timely three-day course, you’ll take a deep dive into the cell therapy development life cycle—from manufacturing to regulatory review to market launch—and learn how to take cellular therapies out of the lab and into the hands of patients.

At this virtual open house, you will:
*Meet Dr. Stacy Springs and Jacqueline M. Wolfrum from MIT’s Center for Biomedical Innovation (CBI)
*Explore the learning outcomes, such as how to gain a solid foundation on the product development roadmap for cell therapies.
*Envision how this curriculum over three days can explore new ways of approaching your work challenges
*Ask your questions during a live Q&A session

Questions? Contact us at shortprograms@mit.edu

Acquire the skills, knowledge, and confidence you need to make your next big career move—and meet your most ambitious long-term professional goals in the MIT Professional Education short course, Roadmapping Success for Women Leaders

In this intensive two-day program, running from July 28-29, 2025 for emerging and established women leaders, you’ll leverage a dynamic “leadership of self” model to assess who you are—and who you want to be. Alongside accomplished peers, you’ll develop a tailored action plan to help you meet your long-term professional goals.

At this virtual open house, you will:

*Meet MIT Professor Anna Frebel
*Explore the learning outcomes, such as how to create a detailed step-by-step strategic action plan for your anticipated career move
*Envision how this curriculum in two days can help you to develop a clear vision that aligns with your personal and professional aspirations in the short- and long-term
*Ask your questions during a live Q&A session

Questions? Contact us at shortprograms@mit.edu

Predictive Multiscale Material Design

Technology is transforming materials design. Innovations like machine learning, cloud computing, and additive manufacturing are empowering materials scientists to create the next generation of smart materials with greater efficiency and sustainability. Integrating these computational tools enables designing better materials from the molecular scale upward while using fewer resources and less energy.

Predictive Multiscale Materials Design, a five-day bootcamp led by Professor Markus J. Buehler, McAfee Professor of Engineering at MIT, offers a hands-on approach to mastering these technologies.

Machine Learning for Materials Informatics

The future of materials design relies on smarter, faster processes. Machine learning-assisted computational modeling accelerates the creation of advanced materials by optimizing cost, efficiency, and sustainability. These tools are essential for materials scientists and engineers to remain competitive in the evolving landscape of materials science.

This four-day live online course taught equips participants with the skills to integrate AI into their materials design workflows. From fundamentals to advanced applications, this course will redefine how you approach prototyping and materials development.

At the Virtual Open House, You Will:
*Meet Markus J. Buehler, a leading materials scientist at the forefront of computational materials design.
*Explore the immersive curriculum, including expanded clinics, interactive lab sessions, and real-world applications in materials science.
*Envision how this course, peer networking, and office hours with Professor Buehler can advance your work and boost your career.
*Participate in a live Q&A session to get your questions answered directly.

In our intensive three-day program Designing with AI for Meaningful Outcomes, you’ll learn how to develop AI-driven products, services, and outcomes that resonate with customers and stakeholders alike.

What to Expect from the Open House:
Curriculum Insights: Get an in-depth walkthrough of the content, tools, and methodologies taught in these courses.
Learning Outcomes : Understand how this programs prepares you to address complex challenges in real-world industries.
Workplace Impact: Discover how what you learn can inspire innovative solutions to elevate your organization.
Interactive Q&A : Ask Matthew Kressy, founding director of the MIT Integrated Design & Management (IDM) master’s degree your most pressing questions during a live session.
Questions? Contact us at shortprograms@mit.edu

This fast-paced three-day course at MIT provides learners with a comprehensive understanding of additive manufacturing, its applications, and its implications both now and in the future.

Did you miss the live open house? Watch it on demand and learn if this course is right for you.