Dear Learner

AI is becoming part of almost every technology conversation.

GenAI. Foundation models. Agents. Responsible AI. Model selection. AI security.

The terminology alone can feel like a whole new language.

That's why AI fundamentals matter more than they get credit for.

Think of them as your AI vocabulary. The stronger your foundation, the easier it becomes to understand what a model can do, where an AI solution fits, and how to make better decisions around it.

AWS AI Practitioner helps you build that foundation across five areas:

1. AI & ML fundamentals

Understand core concepts, from machine learning and deep learning to computer vision, NLP, and agentic AI.

2. Generative AI

Learn where GenAI fits, how foundation models work, and where AWS services such as Amazon Bedrock and SageMaker AI come in.

3. Foundation models

Explore the factors behind model selection, prompting, cost, latency, modality, and performance.

4. Responsible AI

Understand the role of safety, bias, inclusivity, transparency, and monitoring.

5. Security & governance

Build awareness of the AWS services and practices used to secure and govern AI solutions.

And this is where learning with practice makes things useful. With Whizlabs, your preparation includes:

92 videos | 59 hands-on labs | 9 quizzes | Cloud Sandbox

So you can move from understanding a concept → exploring it → testing what you know.

The AIF-C01 is a starting point, but the skills it introduces can support conversations across AI, cloud, and technology teams.

Dont just settle for one; broaden your skillset with our Premium plans

For additional 5% off

Use Coupon: HIGH5 

For additional 10% off

Use Coupon: IC10OFF