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Machine Learning Engineer Training (Experimental)
$850.00
This experimental course is designed as an introduction for software developers aiming to pivot into the field of machine learning engineering. Participants will acquire practical, hands-on knowledge in problem framing, data preparation, model building, and generative AI.
Upon successfully completing the course, participants will have a solid foundation to engage in machine learning-related engineering work and pursue further advanced learning in the field.
Note: Due to the experimental nature of our initial class, the following may be subject to change based on feedback. We will coordinate with students regarding any changes.
Instructor
Denny is a senior engineer at Amazon. He has extensive experience incorporating machine learning features into large-scale products and interviewing engineering candidates for machine learning expertise. He holds both an AWS Machine Learning Associate certificate and an AWS Machine Learning Specialty certificate.
Time
We will meet from 6:15 PM to 8:15 PM PST on Fridays for 5 weeks, starting 1/24/2025. Each meeting will cover 2 sessions of the course. We may change the schedule pending student survey.
Upon successfully completing the course, participants will have a solid foundation to engage in machine learning-related engineering work and pursue further advanced learning in the field.
Note: Due to the experimental nature of our initial class, the following may be subject to change based on feedback. We will coordinate with students regarding any changes.
Instructor
Denny is a senior engineer at Amazon. He has extensive experience incorporating machine learning features into large-scale products and interviewing engineering candidates for machine learning expertise. He holds both an AWS Machine Learning Associate certificate and an AWS Machine Learning Specialty certificate.
Time
We will meet from 6:15 PM to 8:15 PM PST on Fridays for 5 weeks, starting 1/24/2025. Each meeting will cover 2 sessions of the course. We may change the schedule pending student survey.
Quantity
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