DevOps, DataOps, MLOps

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.

• Use web frameworks like Gradio & Hugging Face for interactive ML
• Build command-line tools for ML/AI applications with Click
• Leverage Rust's performance for Kubernetes, Docker & Serverless use cases
• Containerize and deploy ML pipelines across cloud environments