Professional Certificate in AI and ML DevOps
-- ViewingNowThe Professional Certificate in AI and ML DevOps is a crucial course designed to meet the skyrocketing industry demand for experts who can seamlessly integrate AI and ML workflows into DevOps practices. This program equips learners with essential skills to excel in the rapidly growing field of AI and ML DevOps, empowering them to build, test, and deploy intelligent systems efficiently.
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โข Introduction to AI & ML DevOps: Overview of AI & ML DevOps, its importance, and how it differs from traditional DevOps
โข CI/CD for AI & ML: Best practices for Continuous Integration and Continuous Deployment in AI & ML projects
โข Containerization & Orchestration: Utilizing Docker, Kubernetes, and other tools for managing and scaling AI & ML workloads
โข Monitoring & Logging: Techniques for monitoring and logging AI & ML applications in production
โข MLOps: Implementing DevOps practices specific to machine learning, including data versioning and model validation
โข Cloud Platforms for AI & ML DevOps: Hands-on experience with popular cloud platforms for AI & ML, such as AWS, Azure, and Google Cloud
โข Security in AI & ML DevOps: Ensuring security and compliance in AI & ML projects, including data privacy and model protection
โข Infrastructure as Code (IaC): Utilizing IaC tools, such as Terraform and CloudFormation, to automate infrastructure deployment
โข Testing in AI & ML DevOps: Best practices for testing AI & ML applications, including unit testing, integration testing, and automated testing
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