Explore the challenges and solutions for deploying AI/ML applications in this 58-minute webinar on MLOps automation using Git-based CI/CD. Learn about ML pipeline workflows, collaboration between multidisciplinary teams, and automating the deployment process using cloud-native paradigms, Git, and Kubernetes. Discover how to maximize efficiency, leverage Git review processes for model evaluation, and simplify Kubernetes and DevOps complexities. Watch a demonstration of continuous delivery for machine learning in production environments using Git, CI frameworks, hosted Kubernetes, Kubeflow, MLOps orchestration tools, and serverless functions. Gain insights into real-world applications, including predictive maintenance and fraud detection, while understanding the importance of automation in bringing AI projects to production successfully.