Sandeep Bazar 365 Days of AI
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Course08 · Deployment, MLOps, and Security

Containers, cloud, CI/CD, monitoring, and the security discipline AI systems demand in the real world.

21 days 0 written 0 complete

Days 330-336 · Containers and Cloud 0/7 complete
  1. Day 330 Docker Fundamentals planned
  2. Day 331 Dockerizing an AI Application planned
  3. Day 332 Docker Compose for Multi-Service Apps planned
  4. Day 333 Kubernetes Concepts planned
  5. Day 334 Cloud Options and Free Tiers planned
  6. Day 335 CI/CD with GitHub Actions planned
  7. Day 336 A Containerized AI Deployment planned

Project: Containerized Deployment — Containerize an AI app with Docker Compose and a CI pipeline that builds, tests, and publishes the image.

Days 337-343 · Operating AI in Production 0/7 complete
  1. Day 337 Deploying to a Cloud Service planned
  2. Day 338 GPU Serving and Inference Infrastructure planned
  3. Day 339 Monitoring and Alerting planned
  4. Day 340 Logging and Analytics for AI Features planned
  5. Day 341 Rollouts, A/B Tests, and Feature Flags planned
  6. Day 342 Incidents and Rollbacks planned
  7. Day 343 A Monitored Production Deployment planned

Project: Monitored Deployment — Deploy a service to a free-tier cloud host with dashboards, alerts, and a written rollback procedure.

Days 344-350 · AI Security and Privacy 0/7 complete
  1. Day 344 Threat Modeling AI Systems planned
  2. Day 345 Defending Against Prompt Injection planned
  3. Day 346 Data Privacy and PII Handling planned
  4. Day 347 Model and Supply Chain Security planned
  5. Day 348 AI Governance and Regulation planned
  6. Day 349 Red Teaming Your Own Systems planned
  7. Day 350 Section Project: A Security Review planned

Project: Section Project: Security Review — Threat-model and security-review your own AI application, produce findings with severities, and fix the top three.