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My Experience Getting AWS Certified as an AI Practitioner

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Although I’ve spent over two years working on AI and machine learning projects in AWS and GCP, including clustering, prediction, NLP with BERT classifiers, and semantic data modeling, I felt that earning a formal certification would be a great way to structure and validate my knowledge. I wanted to dive deeper into the specific AI/ML services that AWS offers, which is the focus of this certification, and this is why I decided to go for it!

Want to know how I prepared for the exam? Let me share the details in this post!

🤓 My Preparation Process

To prepare, I followed Stephane Maarek’s Udemy course, which I really recommend. Stephane is an excellent instructor — he explains concepts clearly, ties them to practical examples, and makes the learning experience enjoyable.

I also practiced with his set of mock exams, which helped me get used to the format and types of questions I would face in the real exam.

In total, I spent around a month preparing, combining short daily sessions with deeper weekend study blocks.

📋 Exam Experience

The exam was taken online via Pearson VUE — the experience was smooth, and there were no issues or incidents during the exam process. I was able to take the exam from the comfort of my home, and it was well-structured and well-managed throughout. Given my prior experience in both cloud and AI/ML, most questions felt approachable — but I believe the real key was understanding how AWS positions and integrates its AI/ML services, like SageMaker, Rekognition, Translate, Comprehend, and Lex.

Passing on the first attempt was very satisfying, and the certification helped me solidify concepts.

🎉 AWS Certified AI Practitioner

I’m proud to share that I have officially earned the AWS Certified AI Practitioner certification! You can view my certificate here by entering the validation number b71c1aeb29e342f4ae8b098874b581da.

✅ Final Thoughts

If you’re already working in machine learning and want to strengthen your understanding of AWS services — or if you’re aiming to bridge the gap between AI/ML and cloud — this certification is a great step.

It’s beginner-friendly for those newer to the field, but it also offers value to experienced professionals by helping structure and formalize knowledge.


Got questions or want to share your own journey? Reach out to me on my GitHub profile. 📩😊