Your complete guide to the AWS GenAI Developer exam. Master Bedrock, SageMaker, and AI Services.
Sub Category
- IT Certifications
{inAds}
Objectives
- Build and orchestrate sophisticated GenAI applications using Amazon Bedrock Agents, Knowledge Bases, and Prompt Flows.
- Leverage Amazon SageMaker JumpStart to deploy, fine-tune, and manage foundation models for your specific use cases.
- Master the end-to-end ML lifecycle, including bias detection and model monitoring using Amazon SageMaker Clarify.
- Integrate pre-trained AI services like Amazon Rekognition, Textract, and Transcribe directly into your applications.
Pre Requisites
- An active AWS account is required to perform the hands-on lab exercises.
- A solid understanding of core AWS services (IAM, S3, EC2, Lambda) is assumed.
- Basic familiarity with machine learning concepts (e.g., training vs. inference) is helpful but not strictly required.
- No prior experience with Amazon Bedrock or SageMaker is required; we will start from the basics.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
{inAds}
Coupon Code(s)