Udemy - Hands-On Introduction to Generative AI with AWS Bedrock

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Udemy - Hands-On Introduction to Generative AI with AWS Bedrock (Size: 3.1 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Welcome & Setup
  1 - Welcome!.mp4 91.1 MB
  2 - Bedrock Basics
  10 - Prompts.mp4 225.3 MB
  3 - Python App
  11 - Setup.mp4 219.3 MB
  12 - First API Call.mp4 177 MB
  12 - first_call.py 819.2 B
  13 - Streaming.mp4 141 MB
  13 - streaming_call.py 819.2 B
  14 - Memory History.mp4 125.8 MB
  14 - chat_with_history.py 1.1 KB
  4 - Knowledge Base & RAG
  01-pricing.md 1.5 KB
  02-security.md 1.6 KB
  03-file-sharing.md 1.8 KB
  04-refund-policy.md 1.7 KB
  05-api-access.md 1.9 KB
  15 - Introduction.mp4 118.7 MB
  16 - First Knowledge Base.mp4 120 MB
  17 - Testing.mp4 108.7 MB
  18 - Sample Application.mp4 205.8 MB
  18 - rag_query.py 1.6 KB
  19 - Agent.mp4 270 MB
  __MACOSX
  5 - Ending
  20 - Good practices.mp4 171.9 MB
  21 - Wrap up & Thank you!.mp4 60 MB
  22 - Bonus Lecture.html 12 KB
  _01-pricing.md 307.2 B
  _02-security.md 307.2 B
  _03-file-sharing.md 307.2 B
  _04-refund-policy.md 307.2 B
  _05-api-access.md 307.2 B
  _app.py 204.8 B
  _requirements.txt 204.8 B
  app.py 9.1 KB
  requirements.txt 102.4 B
  5 - Overview.mp4 143.1 MB
  6 - Playground.mp4 199.3 MB
  7 - Model Catalog.mp4 174.4 MB
  8 - Comparison.mp4 196.4 MB
  9 - Multimodal.mp4 138.6 MB
  2 - Join Our Community.html 5.5 KB
  3 - What is AWS Bedrock and Why to Use it.mp4 119.5 MB
  4 - Setup.mp4 195 MB

Description


Hands-On Introduction to Generative AI with AWS Bedrock
https://WebToolTip.com
Published 7/2026

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Language: English | Duration: 3h 0m | Size: 3.13 GB
Hands-on guide to AWS Bedrock with foundation models, Knowledge Bases, RAG, Agents and Guardrails
What you'll learn

Navigate the Amazon Bedrock console: playgrounds, model catalog, knowledge bases, agents, prompt management, and guardrails

Compare foundation models side by side and choose the right tier for a given task and budget

Work with multimodal prompts, system prompts, and prompt engineering techniques directly in the console

Generate and use a Bedrock API key, and call the Converse and ConverseStream APIs from Python with boto3

Build a Knowledge Base in the console and understand embeddings and retrieval-augmented generation
Requirements

Comfortable navigating a web browser and the AWS Management Console

Basic terminal/command line knowledge

Basic Python knowledge is good but not required

AWS account (a few dollars of usage covers this entire course)

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