| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1. Amazon Bedrock.mp4 | 141.7 MB | ||
| 10. Amazon SageMaker Data Wrangler.mp4 | 121.7 MB | ||
| 11. Amazon SageMaker Ground Truth.mp4 | 121.7 MB | ||
| 12. Amazon SageMaker JumpStart.mp4 | 142.9 MB | ||
| 13. Amazon SageMaker Model Monitor.mp4 | 100.1 MB | ||
| 14. Amazon SageMaker Model Registry.mp4 | 74.5 MB | ||
| 15. Amazon Textract.mp4 | 267.3 MB | ||
| 16. Amazon Transcribe.mp4 | 162.4 MB | ||
| 2. Amazon Bedrock Hands On Demo.mp4 | 387 MB | ||
| 3. Amazon Bedrock AgentCore.mp4 | 124.2 MB | ||
| 4. Amazon Bedrock Knowledge Bases.mp4 | 121.7 MB | ||
| 5. Amazon Bedrock Prompt Management.mp4 | 114 MB | ||
| 6. Amazon Bedrock Prompt Flows.mp4 | 105.8 MB | ||
| 7. Amazon Rekognition.mp4 | 200.2 MB | ||
| 8. Amazon SageMaker AI.mp4 | 327.5 MB | ||
| 9. Amazon SageMaker Clarify.mp4 | 113.4 MB | ||
| Bonus Resources.txt | 102.4 B |
AWS Certified Generative AI Developer Professional Exam Prep by Deepak Dubey
https://WebToolTip.com
Published 12/2025
Created by Deepak Dubey
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 16 Lectures ( 3h 51m ) | Size: 2.56 GB
Your complete guide to the AWS GenAI Developer exam. Master Bedrock, SageMaker, and AI Services.
What you'll learn
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.
Requirements
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.
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