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Udemy Foundations of Cloud AI Understanding Modern AI Platfor

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Type: Tutorials
Language: English
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Files:
  1. Get Bonus Downloads Here.url 180 bytes
  2. 1 - 12-Factor Principles.mp4 119.6 MB
  3. 2 - Containers & Image Packaging (Docker Essentials).mp4 49.0 MB
  4. 3 - From Docker Compose to Kubernetes.mp4 51.2 MB
  5. 4 - Kubernetes Core Objects (Pods, Deployments, Services).mp4 11.1 MB
  6. 5 - Infrastructure as Code with Terraform (Foundations).mp4 21.6 MB
  7. 6 - CICD for Cloud-Native Apps.mp4 56.1 MB
  8. 1 - Introduction to Generative AI Systems.mp4 70.1 MB
  9. 2 - Inside Large Language Models (LLMs).mp4 59.2 MB
  10. 3 - The Strengths and Limitations of LLMs.mp4 61.2 MB
  11. 4 - Families of Modern Language Models.mp4 44.8 MB
  12. 5 - How Foundation Models Are Built and Trained.mp4 31.0 MB
  13. 6 - How Foundation models Work.mp4 40.5 MB
  14. 1 - Getting Started with Vertex AI (GCP).mp4 47.7 MB
  15. 2 - Exploring Azure AI Foundry and Studio.mp4 35.5 MB
  16. 3 - Introduction to Amazon Bedrock & SageMaker.mp4 16.8 MB
  17. 4 - Cost, Security, and Governance for AI Systems.mp4 15.5 MB
  18. 1 - Object Storage Patterns (S3, Blob, GCS).mp4 12.2 MB
  19. 2 - ETLELT Pipelines (Glue, Data Factory, Dataflow).mp4 12.2 MB
  20. 3 - Warehousing Fundamentals (BigQuery, Redshift, Synapse).mp4 10.4 MB
  21. 1 - Keras Model Building (Sequential & Functional).mp4 15.6 MB
  22. 2 - Training, Evaluation, and Checkpointing.mp4 20.4 MB
  23. Bonus Resources.txt 70 bytes

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