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Intermediate
Artificial Intelligence & Machine Learning
en
AWS Machine Learning Engineer Nanodegree
Udacity
Platform
· California, USA
About this course
Refine your machine learning skills with this AWS Machine Learning Engineer Nanodegree. Learn to build and deploy models on Amazon SageMaker, design automated ML workflows using AWS Lambda and Step Functions, and operationalize machine learning at scale with secure, cost‑efficient, production‑grade pipelines. The program covers neural network basics, deep learning for computer vision and NLP, feature engineering, model tuning and evaluation, and end‑to‑end ML engineering on AWS.
Prerequisite Skills
Skills you should have before taking this course
Intermediate Python programming
deep learning fundamentals
AWS familiarity
API development and usage
Working with Jupyter Notebooks
Skills Gained
Skills you will develop by completing this course
Feature Engineering
Neural network basics
Amazon SageMaker JumpStart
Machine learning framework fundamentals
Machine learning fluency
ML workflow design with AWS Lambda and Step Functions
Deploying machine learning models on Amazon SageMaker
Operationalizing machine learning at scale on AWS