MLOps in Action: From Experimentation to Production

Integrating machine learning with DevOps practices is essential for organizations to stay competitive. This hands-on workshop will introduce you to JFrog ML and its capabilities, empowering data scientists and DevOps teams to seamlessly manage the end-to-end machine learning lifecycle. Learn to securely build, deploy, and maintain machine learning models with JFrog’s powerful platform, while enhancing collaboration between data scientists and DevOps teams. Key Skills Learned: • Seamlessly manage the full ML lifecycle, from experimentation to production, on a single platform. • Track, compare, and version model experiments for optimized decision-making. • Leverage JFrog’s advanced security features to scan models for vulnerabilities and ensure compliance. • Automate training, validation, and deployment processes for faster, more reliable ML results. • Collaborate effectively between data science and DevOps teams to accelerate model development and deployment. Who Should Attend: • Data Scientists. • DevOps Engineers. • IT Professionals & Project Managers. Don’t miss the chance to take your machine learning deployments to the next level. Register now and learn how JFrog ML can transform your MLOps processes for greater speed, security, and efficiency.