This comprehensive 16-week course provides a deep dive into the fundamentals and advanced concepts of Artificial Intelligence and Machine Learning. Students will begin with foundational AI/ML principles, Python programming, and essential tools before progressing to data preprocessing, exploratory data analysis, and classical machine learning techniques. The course then covers deep learning fundamentals, including neural networks, CNNs, RNNs, and transformers for NLP. Advanced topics such as reinforcement learning and generative models are explored, followed by practical deployment strategies using MLOps, cloud platforms, and Docker. The course culminates with a hands-on capstone project, integrating ethical considerations and responsible AI development practices.
Financial information
Total tuition
$6,499.00
Total required fees
$662.90
Books and supplies
$0.00
Locations
SeaTac
Instructional methods
Online, E-learning, or Distance Learning, In-Person Variable Sites
Is this program offered on evenings and weekends?
No
Additional details
Award name
Certificate
Education Prerequisites
High School Diploma or Equivalent
Prerequisite courses and other requirements
N/A
Is this program approved to train veterans?
No
Program languages
English
Certification/license obtained as part of training program
Certification/license test preparation provided
Employment performance results
Data is unavailable for one of several reasons: In some cases, the institution has not provided the Workforce Board with data to independently evaluate program performance. We encourage all schools to provide this data on an annual basis. In other cases, the program joined Career Bridge recently and student data has not been reported yet. In other cases, the program is too small or too new to provide reliable results.
Top industries for graduates
Data is unavailable for one of several reasons: In some cases, the institution has not provided the Workforce Board with data to independently evaluate program performance. We encourage all schools to provide this data on an annual basis. In other cases, the program joined Career Bridge recently and student data has not been reported yet. In other cases, the program is too small or too new to provide reliable results.
Data is unavailable for one of several reasons: In some cases, the institution has not provided the Workforce Board with data to independently evaluate program performance. We encourage all schools to provide this data on an annual basis. In other cases, the program joined Career Bridge recently and student data has not been reported yet. In other cases, the program is too small or too new to provide reliable results.
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