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Build Your Own AI Lab Pearson

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Info Hash: B9E3918751B3E376E501E8C7150F512170B61D8B
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Uploader: notimmune
Source: 1 Logo 1337x
Downloads: 8955
Type: Tutorials
Language: English
Category: Other
Size: 666.6 MB
Added: March 29, 2025, 11:30 a.m.
Peers: Seeders: 49, Leechers: 1 (Last updated: 11 months, 2 weeks ago)
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Files:
  1. 001. Build Your Own AI Lab Introduction.mp4 12.3 MB
  2. 001. Learning objectives.mp4 9.4 MB
  3. 002. 1.1 Overview of AI Labs and Sandboxes Home-based vs. Cloud-based.mp4 20.1 MB
  4. 003. 1.2 Choosing the Right Hardware (GPUs, CPUs, Memory, etc.).mp4 50.3 MB
  5. 004. 1.3 Building or Buying Pre-built Systems.mp4 15.2 MB
  6. 005. 1.4 Choosing the Operating Systems (Linux, Windows, macOS).mp4 16.6 MB
  7. 006. 1.5 Surveying Essential Software (Python, Anaconda, Jupyter Notebooks, and Other Frameworks).mp4 18.9 MB
  8. 007. 1.6 Introducing Hugging Face.mp4 13.9 MB
  9. 008. 1.7 Introducing Ollama.mp4 12.2 MB
  10. 009. 1.8 Installing Ollama.mp4 16.5 MB
  11. 010. 1.9 Ollama Integrations.mp4 46.9 MB
  12. 011. 1.10 Exploring the Ollama REST API.mp4 12.7 MB
  13. 012. 1.11 Introducing Retrieval Augmented Generation (RAG).mp4 13.9 MB
  14. 013. 1.12 Leveraging RAGFlow.mp4 40.6 MB
  15. 001. Learning objectives.mp4 3.8 MB
  16. 002. 2.1 Advantages and Disadvantages of Cloud AI Labs and Sandboxes.mp4 19.1 MB
  17. 003. 2.2 Introducing Amazon Bedrock.mp4 21.0 MB
  18. 004. 2.3 Surveying Amazon SageMaker.mp4 36.2 MB
  19. 005. 2.4 Exploring Google Vertex AI.mp4 43.3 MB
  20. 006. 2.5 Using Microsoft Azure AI Foundry.mp4 36.3 MB
  21. 007. 2.6 Discussing Cost Management and Security.mp4 21.5 MB
  22. 008. 2.7 Using Terraform to Deploy Ollama in the Cloud.mp4 10.4 MB
  23. 001. Learning objectives.mp4 4.5 MB
  24. 002. 3.1 Using Hybrid AI Labs Combining Home and Cloud Resources.mp4 5.9 MB
  25. 003. 3.2 Synchronizing Data and Projects.mp4 11.1 MB
  26. 004. 3.3 Leveraging the Strengths of Both Environments.mp4 19.4 MB
  27. 005. 3.4 Running Open-Source Models Available on Hugging Face.mp4 14.1 MB
  28. 006. 3.5 Introducing LangChain.mp4 9.2 MB
  29. 007. 3.6 Introducing LlamaIndex.mp4 7.5 MB
  30. 008. 3.7 Understanding Embedding Models.mp4 31.9 MB
  31. 009. 3.8 Using Vector Databases.mp4 17.4 MB
  32. 001. Learning objectives.mp4 3.7 MB
  33. 002. 4.1 Leveraging LangSmith and LangGraph.mp4 14.6 MB
  34. 003. 4.2 Using Fine Tuning Frameworks.mp4 17.1 MB
  35. 004. 4.3 High-Performance Computing and Edge AI.mp4 11.8 MB
  36. 001. Build Your Own AI Lab Summary.mp4 7.2 MB

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