Use Serverless Framework for fast deployment of different ML models to scalable and cost-effective AWS Lambda service.
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Deploy regression, NLP and computer vision machine learning models to scalable AWS Lambda environment
How to effectively prepare scikit-learn, spaCy and Keras / Tensorflow frameworks for deployment
How to use basics of AWS and Serverless Framework
How to monitor usage and secure access to deployed ML models and their APIs
This comprehensive Deploy Serverless Machine Learning Models to AWS Lambda curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Deploy Serverless Machine Learning Models to AWS Lambda course:
This course is perfect for:
Everything you need to know about this online course, from duration to certification
Course Instructor
Milan Pavlović
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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