Production-Ready Multimodal ML Engineering
Production-Ready Multimodal ML Engineering
This course is part of Multimodal Intelligence - Vision, Audio & Language in Action Professional Certificate
Instructor: Professionals from the Industry
Access provided by Mastery Marketplace
Intermediate level
Recommended experience
Flexible schedule
Learn at your own pace
What you'll learn
Design a multimodal feature store and build automated ETL pipelines using BigQuery and Airflow.
Write test-driven ML training code and validate multimodal datasets for production readiness.
Optimize model inference with TensorRT and manage ML codebases using GitFlow and CI/CD tools.
Deploy GPU-accelerated services on Kubernetes and tune autoscaling for real-time performance.
Skills you'll gain
- Containerization
- Artificial Neural Networks
- Extract, Transform, Load
- Real Time Data
- Data Quality
- Natural Language Processing
- Machine Learning Algorithms
- Test Driven Development (TDD)
- Artificial Intelligence
- Data Validation
- Scalability
- MLOps (Machine Learning Operations)
- CI/CD
- Algorithms
- Machine Learning Software
- Artificial Intelligence and Machine Learning (AI/ML)
- Data Pipelines
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
Recently updated!
March 2026
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This course is part of the Multimodal Intelligence - Vision, Audio & Language in Action Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
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