In the last year I’ve been studying about AI and machine learning. Even when I started using ChatGPT early in 2023, my first deliverable using AI was on September 2024 when I participated in a challenge organized by Platzi and NewRelic , where I had to fix bugs and improve an Angular app (it worth mention that my main role is SRE/DevOps, knowing how to code), using Github Copilot.
A couple months later, I started playing with local tools like ollama, gpt4all and LM Studio. At this point I didn’t knew that much the tools, but I followed the philosophy of learn by doing. It reminds me a little bit when I started learning Docker, where I installed software and followed tutorials even when I didn’t really knew what I was doing, that came later with time after using the tools regularly and reading books to dig deeper in the topic.
After that, in December 2024, I participated in a challenge organized by CodigoFacilito and Microsoft, in which I learned a lot of AI/ML and got Azure AI Engineer Associate Certified. Along with this preparation phase, I worked with Leonel Alberto in a project for 2 weeks, besides putting into practice our knowledge in AI/Python, I think that the most valuable take away of this experience was the communication and organization to deliver not just the software, but also documentation, presentation, etc, as a whole product, it was definitely a team work and I encourage everyone to give it a chance to work in challenges, it’s not just the technical part that is improved on those events but also the behavioral skills.
Having received the Azure AI Engineer certification, I encouraged myself to prepare and take the AWS Certified Machine Learning Engineer - Associate certification, as AWS is the cloud provider that I have more experience, I passed the exam early in 2025. After that I’ve been participating in AWS initiatives like AWS Build Games where I built a retro game from scratch using Amazon Q cli
At this point, feeling more confortable with AI/ML, I took the next step my study journey by reading “Designing Machine Learning Systems” O’reilly book by Chip Huyen, in my opinion a well written and organized book, full of references, advices and personal comments that are invaluables, I’ll definitely keep this book close for future reference.
Along side reading this book, I’ve also been following Stephanee Maarek and Frank Kane Udemy Machine Learning Specialty Course, as well as Antonio Feregrino’s CodigoFacilito material. Apart from having pedagogy, they transmit the experience they have in the subject, recommended.
I’ve learned a lot in the last year (it feels like it has passed more that a single year), and my next goals are:
- build another project using machine learning
- Read Effective Data Science Infrastructure
- Pass AWS Machine Learning Specialty Certification
I would like to hear from you in the comments, how has been your learning journey and adaptation in the world of AI/ML? what recommendations do you have for me or other people in the same learning path? I read you
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