Question 1

What is AWS AI Fundamentals training at SkilBrill?

Accepted Answer

It is the programme for understanding and using the AWS AI services responsibly: what Bedrock, SageMaker, Rekognition and Comprehend each do, how to frame a use case, how to evaluate a result and how to price it. SkilBrill runs it over 12 weeks and 72 hours.

Question 2

How is this different from the AWS Machine Learning course?

Accepted Answer

This course is about using managed AI services and judging whether an AI feature is worth building — it requires no model training. AWS Machine Learning is the engineering track: feature engineering, training, deployment and MLOps with SageMaker. Take this one first if you are not writing models.

Question 3

What does the syllabus cover?

Accepted Answer

Eight modules: what AI and ML are, the AWS AI service catalogue, working with Amazon Bedrock, data for AI, evaluation and guardrails, cost and capacity, use-case selection, and an end-to-end AI feature capstone.

Question 4

What is the duration and fee?

Accepted Answer

12 weeks, three sessions a week of two hours each, totalling 72 classroom hours. Fees are ₹35,000 – ₹60,000 depending on batch and mode, placing it in the entry band alongside the architecture and operations tracks.

Question 5

Do I need to know Python to take this course?

Accepted Answer

No. The course is written for people who must scope, evaluate and operate AI features rather than train models. Where a short script makes a point clearer it is taught from scratch, and the console path is shown for everything.

Question 6

What jobs can I get after AWS AI Fundamentals?

Accepted Answer

AI product analyst, cloud AI associate, entry prompt engineer, technical pre-sales for AI products and AI support analyst. In India these typically start at ₹4.5–10 LPA, with pre-sales and product-facing roles paying above the band once you can talk about cost and risk.