#Certifications & Learning
Formal learning that supports my DevOps, Cloud, and MLOps journey.
🧬Completed
Precision Medicine Certificate
ALX / Stanford Deep Data Research Center (scholarship)
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- →Explored bioinformatics, genomics, and applying Python and cloud skills to medical data.
🤖Completed
Machine Learning Specialization
Stanford University & DeepLearning.AI (Coursera)
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- →Solid foundation in supervised learning, regularization, and ML best practices.
- →Combining these concepts with DevOps background to move into MLOps.
☁️In Progress
AWS Certified Solutions Architect – Associate (in preparation)
AWS
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- →Preparing with projects around cost monitoring, automation, and DevOps pipelines on AWS.
$ cat ./learning_path.yaml
1
DevOps Foundation
ALX Software Engineering, hands-on production experience with Docker, CI/CD, and Linux.
Completed
2
Cloud & MLOps
Stanford ML Specialization, AWS certifications, combining DevOps with ML tooling.
In Progress
3
Architecture & Scale
AWS Solutions Architect, Kubernetes, and large-scale system design.
Planned