Udemy - Hands-On Introduction to Generative AI with AWS Bedrock
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size3.1 GB
- Uploaded Byfreecoursewb
- Downloads23
- Last checkedJul. 25th '26
- Date uploadedJul. 25th '26
- Seeders 0
- Leechers12
Infohash : 0E92359A19BD5A926BE41206BAB24902562ECA1F
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)
Files:
[ WebToolTip.com ] Udemy - Hands-On Introduction to Generative AI with AWS Bedrock- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Welcome & Setup
- 1 - Welcome!.mp4 (91.1 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 (195.0 MB)
- 10 - Prompts.mp4 (225.3 MB)
- 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)
- 11 - Setup.mp4 (219.3 MB)
- 12 - First API Call.mp4 (177.0 MB)
- 12 - first_call.py (0.8 KB)
- 13 - Streaming.mp4 (141.0 MB)
- 13 - streaming_call.py (0.8 KB)
- 14 - Memory History.mp4 (125.8 MB)
- 14 - chat_with_history.py (1.1 KB)
- 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 (120.0 MB)
- 17 - Testing.mp4 (108.7 MB)
- 18 - Sample Application.mp4 (205.8 MB)
- 18 - rag_query.py (1.6 KB)
- 19 - Agent.mp4 (270.0 MB) __MACOSX
- _01-pricing.md (0.3 KB)
- _02-security.md (0.3 KB)
- _03-file-sharing.md (0.3 KB)
- _04-refund-policy.md (0.3 KB)
- _05-api-access.md (0.3 KB)
- _app.py (0.2 KB)
- _requirements.txt (0.2 KB)
- app.py (9.1 KB)
- requirements.txt (0.1 KB) 5 - Ending
- 20 - Good practices.mp4 (171.9 MB)
- 21 - Wrap up & Thank you!.mp4 (60.0 MB)
- 22 - Bonus Lecture.html (12.0 KB)
- Bonus Resources.txt (0.1 KB)
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