Professional & Lifelong Learning
Power Systems and Artificial Intelligence: An Introduction
This short in-person professional education course provides a comprehensive introduction to AI and machine learning tailored for power engineering applications, with an emphasis on sustainable computing practices. As the electricity industry transforms into a flat, active, and cyber-physical system, this course bridges domains to address challenges and opportunities, advancing smarter grids and sustainable AI systems.
Participants will gain hands-on experience with tools for statistical time series analysis, dimensionality reduction, and energy-efficient AI solutions. We will explore the differences between first-principle models, data-driven models, and sustainable AI strategies in real-time operations, with discussions and computer-based simulation projects. These activities will help participants integrate data-driven and physics-based reasoning while considering the environmental impact of AI and computing infrastructures.
SEAS Online Learning: Certificates, Courses, & Programs
edX Courses:
CS50 Courses:
- CS50's Introduction to Computer Science
- CS50's Understanding Technology
- CS50's Introduction to Cybersecurity
- CS50's Introduction to Databases with SQL
- CS50's Introduction to Programming with Scratch
- CS50's Introduction to Programming with R
- CS50's Introduction to Programming with Python
- CS50's Web Programming with Python and JavaScript
- CS50's Introduction to Artificial Intelligence with Python
- CS50's Computer Science for Business Professionals
- CS50 Computer Science for Lawyers
Data Science with Python Courses:
Tiny Machine Learning (TinyML) Courses:
Environmental Studies and Energy Courses:
- Energy Within Environmental Constraints
- Energy and Thermodynamics
- Entropy and Equilibria
- Electrochemistry
Science and Cooking Courses:
- Science and Cooking (Chemistry)
- Science and Cooking: From Haute Cuisine to Soft Matter Science (Physics)
- Food Fermentation: The Science of Cooking with Microbes
edX Certificates:
- Computer Science for Artificial Intelligence
- Computer Science for Cybersecurity
- Computer Science for Game Development
- Computer Science for Web Programming
- Computer Science for Python Programming
- Computer Science for Data Science
- Computer Science for Databases Using SQL
- Data Science and Machine Learning
- Learning Python for Data Science
- Python for Data Science and Machine Learning
- Tiny Machine Learning (TinyML)
- Applied Tiny Machine Learning (TinyML) for Scale
- The Science of Cooking
- XSeries Program: CS50's AP® Computer Science Principles
Harvard Online:
Courses:
Certificate of Specialization:
Applying LLMs in Practice: Core Concepts and Functional AI Solutions for Real-World Implementation
This hands-on, in-person course introduces participants to the dynamic world of Large Language Models (LLMs) through a practical lens, focusing on how to use and implement these technologies effectively. Starting with an overview of the fundamentals of language models, such as preprocessing and basic neural network architecture and transformer models, the curriculum quickly moves into hands-on applications, demonstrating how LLMs can be leveraged in real-world scenarios, from AI-driven customer service to content creation. Participants gain an in-demand skill set that empowers them to design and build intelligent systems to solve real-world challenges.
Applying LLMs in Practice: Core Concepts and Functional AI Solutions for Real-World Implementation
Business Analytics Program
The Harvard Business Analytics Program is a collaboration between the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), the Harvard Business School (HBS), and the Faculty of Arts and Sciences (FAS).
Designed for aspiring and established leaders in any industry, the program leverages a rigorous cross-disciplinary curriculum to help students not just analyze data but understand it, translate it, and incorporate it into strategy at the top levels of their organizations. Students benefit from world-class instruction in courses designed by esteemed Harvard faculty and collaborate with diverse peers in highly interactive online classes. In addition, students attend two in-person immersions hosted at Harvard Business School, where they formulate solutions to real-world business scenarios and develop a network of data-minded business leaders. Students emerge from the program poised to advance into analytics-focused leadership roles and drive disruptive innovation through data. The program is no longer accepting new students.
Harvard Climate Forum
Supported by The Salata Institute for Climate and Sustainability at Harvard and the Harvard Professional and Lifelong Learning Committee, the Harvard Climate Forum brought together faculty and participants across all disciplines – business, policy, health, education, law and beyond – in a one-day, on-campus event. Led by a multi-disciplinary team of faculty, over 100 participants worked with inspired contemporaries from across the professional spectrum and around the world. In addition to gaining new approaches to climate change issues, this University-wide event provided an unprecedented opportunity to broaden the learners’ network. For more information on the Harvard Climate Forum, click here.