Mastering MLOPs: The Ultimate Guide to Streamline Your Machine Learning Projects.
With implemented projects...start today!
Hi All,
Take your MLOps skills to the next ( advanced) level.
We have developed complete ( practical) MLOps with implemented Projects series ( grounds up) that you can use to build projects and gain deeper understanding of MLOps!
Start today!!
Most Important MLOps topics with Code Implementation —
Model Deployment and monitoring
Model Resource Management Techniques
End — to — End ML Workflow Cycle
MLOps Logging and Documentation
Furthermore, if you want to know which courses are best for Data Analytics, Data Science and Machine Learning -
6 Highly Recommended Data Science and Machine Learning Courses that you MUST take ( with certificate) -
Complete Data Scientist : https://bit.ly/3wiIo8u
Learn to run data pipelines, design experiments , build recommendation systems, and deploy solutions to the cloud.
Complete Data Engineering : https://bit.ly/3A9oVs5
Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets
Complete Machine Learning Engineer : https://bit.ly/3Tir8ub
Learn advanced machine learning techniques and algorithms - including how to package and deploy your models to a production environment.
Complete Data Product Manager : https://bit.ly/3QGUtwi
Leverage data to build products that deliver the right experiences, to the right users, at the right time. Lead the development of data-driven products that position businesses to win in their market.
Complete Natural Language Processing : https://bit.ly/3T7J8qY
Build models on real data, and get hands-on experience with sentiment analysis, machine translation, and more.
Complete Deep Learning: https://bit.ly/3T5ppIo
Learn to implement Neural Networks using the deep learning framework PyTorch