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 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. JFrog ML can transform your MLOps processes for greater speed, security, and efficiency.