Current Focus
GCP Services - (AI/ML/Data Engineering)
Focusing on AI Engineering in the context of GCP.
Python Library Development - Incorporating Best Practices via Open Source
The big idea is finding accessible open source projects and pulling out ideas to incorporate.
Up next:
- [ ] Rich Terminal
- [ ] Pluggy
- [ ] Hypothesis Testing
GCP Certification - DevOps
Rounding out the circuit:
- [x] Data Engineering
- [x] Machine Learning Engineering
- [x] Cloud Architect
- [ ] DevOps:
Topics & Technologies
Navigate to relevant sections of interest.
no tutorials
I avoid step-by-step tutorials and focus mainly on broad ideas, mental models, & use cases because, generally speaking, the germane references are really good these days.
| Topic | Objective |
|---|---|
| Analytics | Research tools, techniques, and concepts to extract information from data. |
| Engineering | Be a Holistic Engineer (DE, ML, Analytics, Software, Platform, DevOps) |
| AI Engineering | Build applications with LLMs and AI Agents. |
| Google Cloud Platform | Leverage GCP services and architectural patterns to support Analytics & Engineering |
| Python | Deepen my expertise by reading & exploring open source projects. Keeping pulse on ecosystem. |
| Leadership | Professional Development with occasional look into the future of work. |