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Build Your Own AI Lab

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Build Your Own AI Lab

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Total Size

698.9 MB

Total Files

36

Last Seen

2025-07-18 00:12

Hash

B9E3918751B3E376E501E8C7150F512170B61D8B

/Introduction/

001. Build Your Own AI Lab Introduction.mp4

12.9 MB

/Lesson 1 Introduction to AI Labs and Sandboxes/

001. Learning objectives.mp4

9.9 MB

002. 1.1 Overview of AI Labs and Sandboxes Home-based vs. Cloud-based.mp4

21.1 MB

003. 1.2 Choosing the Right Hardware (GPUs, CPUs, Memory, etc.).mp4

52.8 MB

004. 1.3 Building or Buying Pre-built Systems.mp4

15.9 MB

005. 1.4 Choosing the Operating Systems (Linux, Windows, macOS).mp4

17.4 MB

006. 1.5 Surveying Essential Software (Python, Anaconda, Jupyter Notebooks, and Other Frameworks).mp4

19.8 MB

007. 1.6 Introducing Hugging Face.mp4

14.5 MB

008. 1.7 Introducing Ollama.mp4

12.8 MB

009. 1.8 Installing Ollama.mp4

17.3 MB

010. 1.9 Ollama Integrations.mp4

49.2 MB

011. 1.10 Exploring the Ollama REST API.mp4

13.3 MB

012. 1.11 Introducing Retrieval Augmented Generation (RAG).mp4

14.6 MB

013. 1.12 Leveraging RAGFlow.mp4

42.5 MB

/Lesson 2 Cloud-Based AI Labs and Sandboxes/

001. Learning objectives.mp4

4.0 MB

002. 2.1 Advantages and Disadvantages of Cloud AI Labs and Sandboxes.mp4

20.0 MB

003. 2.2 Introducing Amazon Bedrock.mp4

22.0 MB

004. 2.3 Surveying Amazon SageMaker.mp4

38.0 MB

005. 2.4 Exploring Google Vertex AI.mp4

45.4 MB

006. 2.5 Using Microsoft Azure AI Foundry.mp4

38.0 MB

007. 2.6 Discussing Cost Management and Security.mp4

22.5 MB

008. 2.7 Using Terraform to Deploy Ollama in the Cloud.mp4

10.9 MB

/Lesson 3 Integrating and Leveraging AI Environments/

001. Learning objectives.mp4

4.7 MB

002. 3.1 Using Hybrid AI Labs Combining Home and Cloud Resources.mp4

6.2 MB

003. 3.2 Synchronizing Data and Projects.mp4

11.7 MB

004. 3.3 Leveraging the Strengths of Both Environments.mp4

20.4 MB

005. 3.4 Running Open-Source Models Available on Hugging Face.mp4

14.8 MB

006. 3.5 Introducing LangChain.mp4

9.7 MB

007. 3.6 Introducing LlamaIndex.mp4

7.8 MB

008. 3.7 Understanding Embedding Models.mp4

33.5 MB

009. 3.8 Using Vector Databases.mp4

18.2 MB

/Lesson 4 Advanced Topics/

001. Learning objectives.mp4

3.9 MB

002. 4.1 Leveraging LangSmith and LangGraph.mp4

15.3 MB

003. 4.2 Using Fine Tuning Frameworks.mp4

18.0 MB

004. 4.3 High-Performance Computing and Edge AI.mp4

12.4 MB

/Summary/

001. Build Your Own AI Lab Summary.mp4

7.6 MB

 

Total files 36


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