AWS Generative AI Services

[h1]Free Download AWS Generative AI Services[/h1]
MP4 | Video: AVC 1920 x 1080 | Audio: AAC 44 Khz 2ch | Duration: 01:23:37 | 281.88 MB
Genre: eLearning | Language: English
Course [h3]Overview[/h3]
A comprehensive exploration of AWS's generative AI capabilities, covering foundation models, RAG implementations, development tools, and MLOps practices. Learn how to leverage Amazon Q, Bedrock, SageMaker, and other AWS services for enterprise AI solutions.

Module 1: Foundation Models and Core Concepts
Introduction to AWS Generative AI ecosystem
Understanding tokenization and language models
Multi-model architectures and implementations
Retrieval Augmented Generation (RAG) fundamentals
Module 2: Amazon Q Developer Tools
Amazon Q Developer capabilities and features
IDE integration (IntelliJ, VS Code)
Code analysis and documentation assistance
Security scanning and best practices
Module 3: AWS Bedrock
Foundation model management
Provisioned throughput configuration
Prompt engineering and evaluation
RAG implementation with Bedrock
Module 4: SageMaker Canvas and MLOps
No-code ML development with SageMaker Canvas
Data preparation and wrangling
Model development and deployment
Course conclusion and best practices
Key Technologies Covered
Amazon Q Developer
AWS Bedrock
SageMaker Canvas
Foundation Models
RAG (Retrieval Augmented Generation)
MLOps Tools
Vector Databases
AWS Lambda
Amazon OpenSearch
AWS S3
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