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Full Stack AI ML Development Courses

59 Lessons
120 hours

This document provides the curriculum outline of the Knowledge, Skills …

What you'll learn
ML/MLOps Architecture Vs DevOps Framework.
Install/Configure Cookie Cutter Template and DVC (Data Tracking).
Build a Custom Environment for ML/MLOps model design and retraining.
Manage DevOps/MLOps Lifecycle, Storage, and CI/CD Pipeline.
Installing and Configuring Jenkins and Nagios.
Installing and Configuring MLFlow, PyTest, and Pep8.
Deploying and scaling the model Django & Haruko Platform.
Data Storage using PostgreSQL.
Auditing and Troubleshooting Machine Learning Model.
DevOps/MLOPs best Security Practices.
Complete the Life Cycle of AI/ML Software development using various technologies.
ML Model in Amazon SageMaker.
Auto Implement on DataRobot.
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