Embarking on the journey to obtain all AWS certifications has been both challenging and rewarding. Here’s a breakdown of my certification path:
Foundational and Associate Certifications
With some general AWS experience under my belt, I began with the foundational and associate-level certifications:
- AWS Certified Cloud Practitioner
- AWS Certified Solutions Architect – Associate
- AWS Certified Developer – Associate
Specializing in Machine Learning and Data Analytics
After working for several months with AWS’s machine learning services, I pursued certifications aligned with my daily work:
- AWS Certified Machine Learning – Specialty
- AWS Certified Data Analytics – Specialty
- AWS Certified Data Engineer – Associate
Advancing to Professional and Specialty Certifications
After nearly two years of working with AWS products and deploying global-scale enterprise solutions, I felt prepared to tackle more advanced certifications:
- AWS Certified SysOps Administrator – Associate
- AWS Certified DevOps Engineer – Professional
- AWS Certified Security – Specialty
Exploring Generative AI
With the introduction of new certifications covering Generative AI, I seized the opportunity to expand my expertise:
Conquering the Final Challenges
Finally, I prepared for and achieved the two remaining, and often considered most challenging, certifications:
Achieving the AWS Certified Golden Jacket
Upon completing all active AWS certifications, I was awarded the prestigious AWS Certified Golden Jacket. This recognition symbolizes a comprehensive understanding of AWS services and a commitment to continuous learning. I highly recommend this learning path to anyone looking to deepen their AWS expertise.
For more information on AWS certifications, visit the AWS Certification Overview page.