Title: AI Strategies and Roadmap: Systems Engineering Approach to AI Development and Deployment
Date: Wednesday, April 3, 2024
Time: 12-1pm
Duration: 60 minutes
Instructor: David Martinez
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 AI Strategies and Roadmap: Systems Engineering Approach to AI Development and Deployment, attendees 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.
At this virtual open house, you will:
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David R. Martinez is a Laboratory Fellow in the Cyber Security and Information Sciences Division at MIT Lincoln Laboratory. In this capacity, he is focusing on research and technical directions in the areas of artificial intelligence (AI), high-performance computing, and digital-enterprise transformation. Previously, Mr. Martinez served as an Associate Head in the Cyber Security and Information Sciences Division and a member of Lincoln Laboratory's Steering Committee.
MIT Professional Education delivers timely, relevant programs to a global audience of scientists, engineers, technicians, managers, consultants, and others from industry, government, the military, non-profit, and academia. The MIT Professional Education mission is to provide a gateway to renowned MIT research, knowledge and expertise for those engaged in science and technology worldwide, through advanced education programs designed for working professionals. The programs are delivered by MIT faculty and promote technical excellence through ongoing educational engagement with communities of practice. Under the leadership of the School of Engineering, MIT Professional Education supports the development of creative leaders equipped to address complex problems.
For more information visit professional.mit.edu