I’m really happy to share that I’ve completed the Amazon Web Services (AWS) Generative AI Applications Specialization!
Course Certificates Completed:
- AI Fundamentals and the Cloud
- AWS Services for AI Solutions
- Bringing Ideas to Life Using AI
My Thoughts on the Course
Right from the start, I enjoyed the way the AWS instructors delivered the material. Their upbeat, friendly videos made the course feel less like “studying” and more like having a conversation with people who love what they’re teaching. Big thanks to Alex G., Oksana Hoeckele, and Rafael Lopes for keeping the energy high and the content approachable.
The first lab totally surprised me. I expected a sandboxed simulation, but instead I got a real connection to the Amazon Bedrock platform. For 24 hours, I had live access where I could:
- explore the platform,
- compare different LLMs,
- tweak configurations and see how outputs changed.
That hands-on approach made the concepts click much faster than just theory.
And then there was Amazon Q, which quickly became my favorite AWS service from the course:
In the terminal: it feels like magic. With a single prompt you can generate system commands, spin up folders and files, or drop content into them. All those repetitive steps I usually type out? Done instantly.
In the IDE (like Visual Studio Code): it works more like a coding buddy, similar to Cursor or Windsurf. Amazon Q can suggest code, explain snippets, and even guide you through building out a project. It’s the kind of tool that makes you wonder how you ever worked without it.
One of the coolest things overall was seeing practical use cases. For example: a project that checks free parking spots near your house and pushes notifications straight to your phone. It’s simple, but it shows how these services can connect everyday problems with real solutions.
What I’d Love to See Improved
The course gave me a solid foundation, but I’d love to see:
- More end-to-end projects that use AWS AI services in a real application.
- Additional labs with longer, real-world scenarios so you can practice building something from start to finish.
Final Reflection
All in all, this specialization was a fantastic starting point for diving into Generative AI with AWS. It gave me both the theory and the hands-on practice I was hoping for.
I’m excited to keep experimenting with these tools, especially Amazon Q and Bedrock, and see how I can bring them into future projects.
👉 Have you tried building with Amazon Bedrock or experimenting with Amazon Q? I’d love to hear what you built and how it went!
You can check out the specialization here: AWS Generative AI Applications Specialization on Coursera
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