Global Certificate in DevOps for AI/ML
-- ViewingNowThe Global Certificate in DevOps for AI/ML is a comprehensive course designed to meet the growing industry demand for professionals with expertise in DevOps and AI/ML technologies. This certificate course emphasizes the importance of DevOps practices in the AI/ML field, enabling learners to gain practical skills in continuous integration, continuous delivery, and infrastructure automation for AI/ML workloads.
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โข Fundamentals of DevOps for AI/ML: Introduction to DevOps principles, AI/ML development lifecycle, and the importance of DevOps in AI/ML projects.
โข CI/CD for AI/ML Models: Best practices for continuous integration (CI) and continuous delivery (CD) in AI/ML projects, including version control, automated testing, and deployment strategies.
โข Infrastructure as Code (IaC): Understanding IaC concepts, tools, and workflows, including popular IaC tools like Terraform and CloudFormation.
โข Monitoring and Logging in DevOps for AI/ML: Importance of monitoring and logging in AI/ML projects, including metrics, logs, and tracing.
โข Security and Compliance in AI/ML DevOps: Best practices for securing AI/ML pipelines, data, and models, as well as compliance with industry regulations.
โข Collaboration and Communication in DevOps for AI/ML: Strategies for effective collaboration and communication among cross-functional teams, including developers, data scientists, and operations teams.
โข MLOps and DevOps Integration: Understanding MLOps, its relationship with DevOps, and best practices for integrating MLOps into DevOps workflows.
โข AI/ML DevOps Case Studies: Real-world examples of successful AI/ML DevOps implementations and their impact on business outcomes.
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