Apply Real-World Machine Learning with DevOps, DataOps & MLOps
- Master end-to-end MLOps solutions through hands-on AI pair programming
- Leverage cutting-edge tools like GitHub Copilot, Gradio & Hugging Face
- Build containerized ML apps deployable across cloud platforms
Course Journey:
- Explore MLOps landscape and pre-trained models to solve business problems
- Apply ML/AI in practice through optimization, simulation & heuristics
- Develop integrated DevOps, DataOps & MLOps pipelines on GitHub
- Package ML solutions in containers for seamless cloud deployment
- Transition to Rust for high-performance GPU-accelerated ML tasks
Ideal for data scientists, software engineers, analysts & professionals working with machine learning. Gain holistic MLOps skills through real-world projects.
