Это пробный урок. Оформите подписку, чтобы получить доступ ко всем материалам курса. Премиум

  1. Урок 1. 00:01:01
    Introduction
  2. Урок 2. 00:04:44
    What We're Building
  3. Урок 3. 00:05:25
    Setting Up our AWS Account
  4. Урок 4. 00:04:24
    Login to IAM User Account
  5. Урок 5. 00:09:06
    What is AWS Bedrock?
  6. Урок 6. 00:04:33
    Introduction to Foundational Models
  7. Урок 7. 00:11:03
    Foundational Model Providers
  8. Урок 8. 00:14:03
    Bedrock Playground and Pricing
  9. Урок 9. 00:10:36
    Inspecting Model Inference Configurations for LLMs and Image Generation Models
  10. Урок 10. 00:07:34
    Training Foundation Models with your Custom Data
  11. Урок 11. 00:01:06
    Setting Up the Code Generation Project
  12. Урок 12. 00:17:52
    Coding our Lambda Function and Integrating with AWS Bedrock
  13. Урок 13. 00:05:35
    Setting up API Gateway and our Serverless Stack
  14. Урок 14. 00:05:58
    Testing our Live Endpoint
  15. Урок 15. 00:02:24
    Creating our Boto3 Lambda Layer
  16. Урок 16. 00:02:25
    Attaching our Lambda Layer to our Function
  17. Урок 17. 00:06:29
    Testing our Bedrock Model
  18. Урок 18. 00:02:25
    Verifying Final Output of Bedrock
  19. Урок 19. 00:08:44
    Setting up our Lambda Function with Bedrock for Content Summarization
  20. Урок 20. 00:14:11
    Finishing our Lambda Function for Meeting Summarisation
  21. Урок 21. 00:02:16
    Creating new API Gateway Endpoint for this Lambda Function
  22. Урок 22. 00:06:31
    Invoking our Serverless Meeting Notes Summarisation Endpoint
  23. Урок 23. 00:01:40
    Analyzing the Final Results
  24. Урок 24. 00:10:58
    Project Introduction
  25. Урок 25. 00:01:07
    Setting up API Gateway Route (Serverless) for New Generative AI Model Invocation
  26. Урок 26. 00:03:49
    Invoking our Stable Diffusion model for Image Generation
  27. Урок 27. 00:00:47
    Analysing our Final Output
  28. Урок 28. 00:04:38
    Set up Evaluation Job for Anthropic's Claude model
  29. Урок 29. 00:05:26
    Evaluating our Results
  30. Урок 30. 00:02:58
    Introduction to AWS Bedrock Knowledge Base
  31. Урок 31. 00:06:41
    Retrieval Augmented Retrieval (RAG) Overview
  32. Урок 32. 00:08:09
    Setting Up Our Own Knowledge Base - Part 1
  33. Урок 33. 00:00:51
    Setting Up Our Own Knowledge Base - Part 2
  34. Урок 34. 00:07:21
    Testing our Bedrock Knowledge Base with Antropic's Claude Model
  35. Урок 35. 00:01:11
    Clean Up Resources
  36. Урок 36. 00:00:43
    API Resources
  37. Урок 37. 00:03:17
    A Little Cleanup and Congratulations!