Udemy - Foundations of Cloud AI - Understanding Modern AI Platforms

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size801.5 MB
  • Uploaded Byfreecoursewb
  • Downloads31
  • Last checkedOct. 24th '25
  • Date uploadedOct. 24th '25
  • Seeders 7
  • Leechers8

Infohash : 4D20E88FB52BD8131AFE70B7009115E32192DD65

Foundations of Cloud AI: Understanding Modern AI Platforms

https://WebToolTip.com

Published 10/2025
Created by Ing.Seif | Europe Innovation
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 21 Lectures ( 1h 58m ) | Size: 801 MB

Generative AI, data pipelines, and model lifecycle concepts across major cloud platforms

What you'll learn
how Generative AI and Large Language Models integrate within cloud ecosystems.
Differentiate between major cloud AI platforms
Understand the role of data pipelines, object storage, and warehousing in AI infrastructure.
escribe key concepts in model lifecycle management : training, evaluation, and export.

Requirements
No technical or programming background required. A general understanding of cloud computing is helpful but not mandatory.

Files:

[ WebToolTip.com ] Udemy - Foundations of Cloud AI - Understanding Modern AI Platforms
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Cloud-Native Foundations for AI
    • 1 - 12-Factor Principles.mp4 (119.6 MB)
    • 2 - Containers & Image Packaging (Docker Essentials).mp4 (49.0 MB)
    • 3 - From Docker Compose to Kubernetes.mp4 (51.2 MB)
    • 4 - Kubernetes Core Objects (Pods, Deployments, Services).mp4 (11.1 MB)
    • 5 - Infrastructure as Code with Terraform (Foundations).mp4 (21.6 MB)
    • 6 - CICD for Cloud-Native Apps.mp4 (56.1 MB)
    2 - AI & Foundation Model Fundamentals
    • 1 - Introduction to Generative AI Systems.mp4 (70.1 MB)
    • 2 - Inside Large Language Models (LLMs).mp4 (59.2 MB)
    • 3 - The Strengths and Limitations of LLMs.mp4 (61.2 MB)
    • 4 - Families of Modern Language Models.mp4 (44.8 MB)
    • 5 - How Foundation Models Are Built and Trained.mp4 (31.0 MB)
    • 6 - How Foundation models Work.mp4 (40.5 MB)
    3 - Multi-Cloud AI Fast Start (AWS Azure GCP)
    • 1 - Getting Started with Vertex AI (GCP).mp4 (47.7 MB)
    • 2 - Exploring Azure AI Foundry and Studio.mp4 (35.5 MB)
    • 3 - Introduction to Amazon Bedrock & SageMaker.mp4 (16.8 MB)
    • 4 - Cost, Security, and Governance for AI Systems.mp4 (15.5 MB)
    4 - Data & ML Foundations on Cloud
    • 1 - Object Storage Patterns (S3, Blob, GCS).mp4 (12.2 MB)
    • 2 - ETLELT Pipelines (Glue, Data Factory, Dataflow).mp4 (12.2 MB)
    • 3 - Warehousing Fundamentals (BigQuery, Redshift, Synapse).mp4 (10.4 MB)
    5 - TensorFlow & Model Serving Foundations
    • 1 - Keras Model Building (Sequential & Functional).mp4 (15.6 MB)
    • 2 - Training, Evaluation, and Checkpointing.mp4 (20.4 MB)
    • Bonus Resources.txt (0.1 KB)

Code:

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