| File Name: | Machine Learning in Production |
| Content Source: | https://edu.kyrylai.com/courses/ml-in-production |
| Genre / Category: | Coding Courses |
| Language: | ENGLISH |
| Price: | $490 |
ABOUT THE COURSE:
Your journey to becoming a complete ML expert
In just 8 weeks, you’ll transform from being a data scientist focused on modeling to a professional who can handle the entire ML lifecycle. Choose between the live cohort, or the asynchronous course to learn at your own pace.
Week 1: Learn to set up and manage Docker, Kubernetes, and CI/CD pipelines.
Week 2: Master advanced data storage, processing, versioning, labeling techniques, and Retrieval-Augmented Generation (RAG).
Week 3: Structure, run, and optimize experiments to ensure peak model performance.
Week 4: Streamline workflows with powerful tools like Dagster, Kubeflow and AirFlow.
Week 5-6: Implement, scale, and serve your models using the latest strategies, including handling Large Language Models (LLMs).
Week 7: Keep your models performing at their best with robust monitoring and maintenance strategies, including tools and techniques for monitoring LLMs and managing data drift.
Week 8: Navigate the complexities of vendor selection and platform integration with a focus on AWS SageMaker, GCP Vertex AI, and the latest trends.
Capstone Project Presentation - Apply everything you’ve learned to complete an end-to-end ML project and present it.
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