·AI Security
Module 22 Lesson 1: The AI Security Professional
Defining the role. A deep dive into the day-to-day responsibilities, toolsets, and team dynamics of a professional AI Security Engineer.
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·DevOps
Module 13 Lesson 3: System Maintenance
Reclaim your disk space. Master the art of Docker housekeeping, from pruning dangling images to managing large log files that eat your server's storage.
·DevOps
Module 4 Lesson 1: Advanced Container Execution
Go beyond the basic 'run'. Master the advanced flags for port mapping, resource limits, and auto-restart policies to manage production containers effectively.
·DevOps
Module 5 Lesson 4: The Docker Compose CLI
Master the commands for managing multi-container stacks. Learn how to view aggregate logs, stop services safely, and rebuild images on the fly.
·DevOps
Module 6 Lesson 2: Scaling Services in Compose
More power. Learn how to use the --scale flag to run multiple instances of a service and how Docker Compose manages the load balancing internally.
·DevOps
Module 6 Lesson 5: Multi-File Configurations
Master the environment split. Learn how to use multiple Compose files to handle development, staging, and production differences without repeating code.
·DevOps
Module 8 Lesson 5: Dev vs. Prod Dockerfiles
The right tool for the right job. Learn how to maintain separate Docker configurations for development (speed and debugging) and production (security and size).
·DevOps
Module 6 Lesson 1: Introduction to Automated Deployment
Cross the finish line. Learn the fundamentals of push-button and fully automated deployments to servers, clouds, and clusters.
·DevOps
Module 6 Lesson 5: Rollbacks and Error Recovery
The emergency exits. Learn how to perform instant rollbacks when a deployment goes wrong and how to automate recovery using GitLab's built-in tools.
·DevOps
Module 9 Lesson 1: Vulnerability Management
The triage process. Learn the professional workflow for identifying, dismissing, or resolving security vulnerabilities within the GitLab ecosystem.
·AWS Bedrock
Module 17 Lesson 1: Versioning and Aliases
Safe Deployments. How to use Bedrock Agent Versions and Aliases to update your AI without breaking your production app.
·AWS Bedrock
Module 17 Lesson 2: Scaling and Retries
Handling the Peak. Advanced strategies for dealing with Bedrock's rate limits using exponential backoff and request queuing.
·AI & LLMs
Module 14 Wrap-up: The Full-Scale Transition
Hands-on: Deploying to a remote server. Final operational checks before going live.