Robotics, Autonomous Vehicles, Drones, and Artificial Intelligence

Harvard Extension School

DGMD E-17

Section 1

CRN 26008

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This course explores the field of artificial intelligence (AI), robotics, autonomous vehicles, and drones. We are at the forefront of a revolution that can fundamentally change a multitude of industries and transform our society, such as self-driving, autonomous cars; same-day drone delivery; and AI-powered personal robotic assistants and laborers. There is tremendous growth and opportunities in this space with billions of dollars being invested and expected market growth of 10-15 percent annually. This course explores the theories, tools, and processes that enable these technologies and the challenges, limitations, and capabilities of modern robotics, autonomous vehicles, drones, and AI technologies. Students learn about AI and sensor technologies for automation, autonomy from a systems perspective, vision-based perception and techniques, modern machine learning algorithms, mathematical modeling and abstraction, and engineering design. The goal is to develop a fundamental toolkit to advance the field and become part of the next generation of futurists and technologists.

Instructor Info

Nabib Ahmed, AM

Artificial Intelligence Researcher, Meta


Meeting Info

T 5:30pm - 7:30pm (1/26 - 5/16)

Participation Option: Online Asynchronous or Online Synchronous

In online asynchronous courses, you are not required to attend class at a particular time. Instead you can complete the course work on your own schedule each week.

Deadlines

Last day to register: January 22, 2026

Prerequisites

CSCI E-7 or CSCI E-50 or equivalent. Experience with programming, technical and code documentation, and data (any programming language will do; some examples are Python, R, Java, or C/C++). Familiarity with algebra and geometry. No background needed in machine learning, robotics, or artificial intelligence

Notes

This course meets via web conference. Students may attend at the scheduled meeting time or watch recorded sessions asynchronously. Recorded sessions are typically available within a few hours of the end of class and no later than the following business day. See minimum technology requirements.

All Sections of this Course

CRN Section # Participation Option(s) Instructor Section Status Meets Term Dates
34560 1 Online Asynchronous, Online Synchronous Nabib Ahmed Open MW 6:30pm - 9:30pm
Jun 23 to Aug 8
26008 1 Online Asynchronous, Online Synchronous Nabib Ahmed Open T 5:30pm - 7:30pm
Jan 26 to May 16