My pipeline for learning.
| Topic | Description |
|---|---|
| AI | Artificial Intelligence concepts and tools |
| AWS | Amazon Web Services cloud platform and certifications |
| Bash | Shell scripting and command-line automation |
| Conda | Python environment and package management |
| Dagger | CI/CD pipelines and automation with Dagger |
| Dagger-py | Python-based Dagger projects |
| Devbox | Developer environment setup and management |
| Docker | Containerization and Docker ecosystem |
| FastAPI | Building APIs with FastAPI (Python) |
| FinOps | Cloud financial management and optimization |
| Flyway | Database migration and version control |
| GitOps | Git-based operations and infrastructure as code |
| ITIL | IT service management best practices |
| Kubernetes | Container orchestration and Kubernetes fundamentals |
| Linux | Linux operating system and administration |
| Management | Management skills and leadership |
| Observability | Monitoring, logging, and observability tools |
| OPA | Open Policy Agent for policy-based control |
| Platform Engineering | Building and operating internal developer platforms and tools |
| Postgres | PostgreSQL database management |
| Power Platform | Microsoft Power Platform tools |
| Prometheus | Monitoring and alerting with Prometheus |
| Prompt Engineering | Techniques for designing effective prompts for AI |
| Python | Python programming language and patterns |
| SQL Server | Microsoft SQL Server database |
| Tekton | CI/CD pipelines with Tekton |
| Terminals | Terminal customization and productivity |
| Terraform | Infrastructure as code with Terraform |