Search Search Lary Smith Me Some new notifications

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size469.6 MB
  • Uploaded Byfreecoursewb
  • Downloads6
  • Last checkedJul. 03rd '26
  • Date uploadedJul. 02nd '26
  • Seeders 0
  • Leechers2

Infohash : 9A61D3108BE8C710B186B56F2380EF5FC62B5E46

Search Search Lary Smith Me Some new notifications

https://WebToolTip.com

Published 6/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 29m | Size: 469.63 MB

Master AI Data Storage, Vector Databases, RAG Systems, Cloud Storage, and AI Workload Optimization

What you'll learn
Understand the differences between structured, semi-structured, and unstructured data in AI systems.
Design and evaluate storage solutions for AI pipelines using cloud platforms such as AWS, Azure, and Google Cloud.
Implement vector databases, embeddings, and semantic search to support Retrieval-Augmented Generation (RAG) applications.
Optimize AI workloads and processing strategies for scalable and efficient cloud-based AI deployments.

Requirements
No prior experience with AI infrastructure is required. Basic knowledge of computers, data concepts, or cloud technologies is helpful but not necessary.

Files:

[ WebToolTip.com ] Search Search Lary Smith Me Some new notifications
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1 - Scalable solutions for storage and processing.mp4 (8.0 MB)
    • 2 - Prerequisites.mp4 (2.3 MB)
    2 - Types of Data and Storage Requirements
    • 3 - Types of data Structured, semistructured, and unstructured.mp4 (16.3 MB)
    • 4 - Understanding structured data.mp4 (10.7 MB)
    • 5 - Understanding semistructured data.mp4 (18.3 MB)
    • 6 - Understanding unstructured data.mp4 (11.3 MB)
    3 - Data Storage in the AI Pipeline
    • 10 - AI storage best practices.mp4 (7.7 MB)
    • 11 - Cloud storage on Google Cloud.mp4 (59.1 MB)
    • 12 - Object storage with Amazon S3.mp4 (66.5 MB)
    • 13 - Blob storage on Azure.mp4 (46.1 MB)
    • 7 - Storage requirements in the AI pipeline.mp4 (27.7 MB)
    • 8 - Data storage in the AI workflow.mp4 (23.4 MB)
    • 9 - AI storage considerations.mp4 (18.1 MB)
    4 - Vector Databases and RAGs
    • 14 - Retrieval-augmented generation.mp4 (17.6 MB)
    • 15 - Vector databases and embeddings.mp4 (17.1 MB)
    • 16 - Semantic search with Pinecone.mp4 (71.6 MB)
    5 - AI Workloads and Processing
    • 17 - Types of AI workloads.mp4 (20.4 MB)
    • 18 - Best practices to optimize AI workloads.mp4 (13.9 MB)
    • 19 - AI workloads on the cloud.mp4 (13.5 MB)
    • Bonus Resources.txt (0.1 KB)

Code:

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