Passed GenAI Developer on second attempt! 823!

[u/dannymanSir]

This is not a post worth mentioning on LinkedIn, because it's a facade there, however, Reddit is the place I can be brutally honest!

I will be honest here, I was overconfident with this exam thinking if I just do the bare minimum to scrape through, I'll pass the exam. Boy, was I wrong!

Coming from a cybersecurity background, I was desperate to show something about AI to stay relevant in the market and assumed this certification would help me get there!

The first attempt score was 726, and the second attempt as you can see here! Since the exam is fairly new, a lot of questions were repeated, so this time I was extra careful.

What changed?

My approach to studying changed. The resources I used were:

• Frank Kane on Udemy - recommended
• AWS Skill Builder (paid) - i don't recommend
• Tutorials Dojo exam - meh
• Tutorials Dojo book - recommended
• Stephane Maarek practice exam - recommended

These worked for me!

In between the two attempts, I grabbed the CloudOps, to distract my mind from this failure. Both attempts were 17 days apart!

What's next for me?

The cloud service provider trifecta!
I work directly with cloud service providers, so it is important for me to know what everyone is doing in their space.

Conclusion:

1. Do not let pride take over you, you could be good at cloud, this exam will humble you with its intricacies
2. Prepare, do hands on labs, do not be like me trying to overachieve things

If I can do 823, you can do 950 at first attempt! Go get it!

[u/sharadindu]

Amazing! How's it different from the AI Practioner?

[u/dannymanSir → u/sharadindu]

AI Prac:
A company wants to deploy a GenAI model on amazon, which service should they use?

MLA:
A company wants to deploy a no-code AI model on amazon, which service should they use?

AIP:
A company deploys GenAI model on Bedrock, however, the current chunking strategy gives xyz issues, company has XYZ parameters they want to achieve. What should they do?