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GitOps for AI/ML Workflow Automation
In this hands-on lab, you'll implement GitOps principles to automate AI/ML workflows using CLI tools and GitHub Actions. You'll set up a lightweight ML pipeline with MinIO for storage, deploy a simple ML model using Docker, and implement automated monitoring with rollback capabilities—all through command-line interfaces.
Lab Info
Table of Contents
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Challenge
Automate AI/ML Workflow Components using GitOps Principles
- Integrate MinIO for object storage and Weaviate for AI-enhanced metadata management.
- Orchestrate AI/ML services using Docker Compose and GitHub Actions.
- Programmatically interact with AI/ML components (for example a schema definition, data indexing, and backups).
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Challenge
Implement CI/CD for ML Model Development and Deployment
- Automate ML pipeline stages (data preparation, model training, evaluation) with GitHub Actions.
- Version and track ML models and data using appropriate tools.
- Deploy containerized ML applications on Kubernetes.
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Challenge
Leverage Self-Healing Principles in AI/ML GitOps Pipelines
- Implement continuous monitoring and drift detection for ML infrastructure.
- Configure automated rollbacks for faulty ML model deployments.
- Explore AI-driven anomaly detection and automated remediation in CI/CD pipelines.
Real skill practice before real-world application
Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.
Learn by doing
Engage hands-on with the tools and technologies you’re learning. You pick the skill, we provide the credentials and environment.
Follow your guide
All labs have detailed instructions and objectives, guiding you through the learning process and ensuring you understand every step.
Turn time into mastery
On average, you retain 75% more of your learning if you take time to practice. Hands-on labs set you up for success to make those skills stick.