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AIP-C01 - Foundation Model Integration, Data Management, and Compliance

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AIP-C01 - Foundation Model Integration, Data Management, and Compliance

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AIP-C01 - Foundation Model Integration, Data Management, and Compliance
Bonus Resources.txt
TXT
102.4 B
Get Bonus Downloads Here.url
URL
204.8 B
~Get Your Files Here !
01. Analyze Requirements and Design GenAI Solutions
01
02. Select and Configure FMs
01. Overview of Foundation Models Available in Amazon Bedrock.mp4
MP4
9.1 MB
01. Overview of Foundation Models Available in Amazon Bedrock.srt
SRT
5.5 KB
02
03. Implement Data Validation and Processing Pipelines for FM Consumption
01. Why Data Pipelines Matter for Generative AI Systems.mp4
MP4
7.9 MB
01. Why Data Pipelines Matter for Generative AI Systems.srt
SRT
4.9 KB
02. Data Requirements for Foundation Model Inference.mp4
MP4
11.3 MB
02. Data Requirements for Foundation Model Inference.srt
SRT
6.4 KB
03
04. Design and Implement Vector Store Solutions
01. What Are Vector Stores.mp4
MP4
12.4 MB
01. What Are Vector Stores.srt
SRT
6.8 KB
02. Understanding Embeddings.mp4
MP4
4.7 MB
02. Understanding Embeddings.srt
SRT
3.4 KB
03. Embeddings Models in Amazon Bedrock.mp4
MP4
7.9 MB
03. Embeddings Models in Amazon Bedrock.srt
SRT
4.5 KB
04
05. Design Retrieval Mechanisms for FM Augmentation
01. How Retrieval Augmented Generation Works.mp4
MP4
8.7 MB
01. How Retrieval Augmented Generation Works.srt
SRT
5.9 KB
02. Designing Effective Document Chunking Strategies.mp4
MP4
15.6 MB
02. Designing Effective Document Chunking Strategies.srt
SRT
8.4 KB
03. Selecting Embedding Models or Retrieval Systems.mp4
MP4
10.6 MB
03. Selecting Embedding Models or Retrieval Systems.srt
SRT
6 KB
04. Deploying Vector Search Systems.mp4
MP4
11.7 MB
04. Deploying Vector Search Systems.srt
SRT
8 KB
05
06. Implement Prompt Engineering Strategies and Governance for FM Interactions
01. Why Prompt Engineering Matters.mp4
MP4
10.2 MB
01. Why Prompt Engineering Matters.srt
SRT
6.3 KB
02. Designing Effective Prompt Instructions.mp4
MP4
5.7 MB
02. Designing Effective Prompt Instructions.srt
SRT
4.2 KB
03. Demo Creating Prompt Templates with Amazon Bedrock Prompt Management.mp4
MP4
14.9 MB
03. Demo Creating Prompt Templates with Amazon Bedrock Prompt Management.srt
SRT
4.7 KB
04. Using Guardrails to Control Model Behavior.mp4
MP4
10.9 MB
04. Using Guardrails to Control Model Behavior.srt
SRT
8.6 KB
05. Demo Using Bedrock Guardrails to Block Restricted Content.mp4
MP4
17.9 MB
05. Demo Using Bedrock Guardrails to Block Restricted Content.srt
SRT
6.5 KB
06
demos.txt
TXT
307.2 B
implement-prompt-engineering-strategies-and-governance-for-fm-interactions-slides.pdf
PDF
10.7 MB
06. Designing Conversational AI Systems.mp4
MP4
16.2 MB
06. Designing Conversational AI Systems.srt
SRT
11.1 KB
07. Demo Maintaining Conversation History with DynamoDB.mp4
MP4
12.3 MB
07. Demo Maintaining Conversation History with DynamoDB.srt
SRT
4.8 KB
08. Prompt Governance and Lifecycle Management.mp4
MP4
16.2 MB
08. Prompt Governance and Lifecycle Management.srt
SRT
10.2 KB
09. Monitoring Prompt Performance.mp4
MP4
15 MB
09. Monitoring Prompt Performance.srt
SRT
10 KB
10. Prompt Optimization Techniques.mp4
MP4
12.6 MB
10. Prompt Optimization Techniques.srt
SRT
8.4 KB
11. Designing Multi Step Prompt Workflows on AWS.mp4
MP4
10 MB
11. Designing Multi Step Prompt Workflows on AWS.srt
SRT
7.6 KB
12. Demo Creating a Prompt Flow in Amazon Bedrock.mp4
MP4
18.4 MB
12. Demo Creating a Prompt Flow in Amazon Bedrock.srt
SRT
5.5 KB
13. Common Prompt Engineering Issues.mp4
MP4
9.3 MB
13. Common Prompt Engineering Issues.srt
SRT
6 KB
14. Module Summary Part 1.mp4
MP4
9.4 MB
14. Module Summary Part 1.srt
SRT
6 KB
15. Module Summary Part 2.mp4
MP4
8.1 MB
15. Module Summary Part 2.srt
SRT
5.3 KB
16. Sample Question.mp4
MP4
18.7 MB
16. Sample Question.srt
SRT
7.5 KB
demos.txt
TXT
307.2 B
design-retrieval-mechanisms-for-fm-augmentation-slides.pdf
PDF
28.4 MB
05. Demo Performing Vector Similarity Search.mp4
MP4
15.1 MB
05. Demo Performing Vector Similarity Search.srt
SRT
5.6 KB
06. Demo Implementing Hybrid Search.mp4
MP4
16.8 MB
06. Demo Implementing Hybrid Search.srt
SRT
4.4 KB
07. Improving Retrieval with Bedrock Reranking Models.mp4
MP4
10.5 MB
07. Improving Retrieval with Bedrock Reranking Models.srt
SRT
6.3 KB
08. Query Expansion and Decomposition Techniques.mp4
MP4
11.6 MB
08. Query Expansion and Decomposition Techniques.srt
SRT
6.5 KB
09. Demo Implementing Query Expansion.mp4
MP4
6.5 MB
09. Demo Implementing Query Expansion.srt
SRT
2.2 KB
10. Standardizing Retrieval Interfaces.mp4
MP4
19.6 MB
10. Standardizing Retrieval Interfaces.srt
SRT
12.4 KB
11. Integrating Retrieval Systems with Foundation Models.mp4
MP4
8.4 MB
11. Integrating Retrieval Systems with Foundation Models.srt
SRT
4.9 KB
12. Common Retrieval System Issues.mp4
MP4
7.3 MB
12. Common Retrieval System Issues.srt
SRT
5 KB
13. Module Summary.mp4
MP4
12.6 MB
13. Module Summary.srt
SRT
7.9 KB
14. Sample Question.mp4
MP4
19.5 MB
14. Sample Question.srt
SRT
7.2 KB
demos.txt
TXT
307.2 B
design-and-implement-vector-store-solutions-slides.pdf
PDF
26.4 MB
04. Demo Generating Embeddings Using Amazon Bedrock.mp4
MP4
11.1 MB
04. Demo Generating Embeddings Using Amazon Bedrock.srt
SRT
3 KB
05. Vector Databases Explained.mp4
MP4
3.7 MB
05. Vector Databases Explained.srt
SRT
2.4 KB
06. Vector Storage on AWS.mp4
MP4
10.8 MB
06. Vector Storage on AWS.srt
SRT
7 KB
07. Amazon Bedrock Knowledge Bases Overview.mp4
MP4
8.9 MB
07. Amazon Bedrock Knowledge Bases Overview.srt
SRT
5.6 KB
08. Demo Creating a Bedrock Knowledge Base.mp4
MP4
25.4 MB
08. Demo Creating a Bedrock Knowledge Base.srt
SRT
8 KB
09. Demo Adding Metadata to a Knowledge Base.mp4
MP4
12.2 MB
09. Demo Adding Metadata to a Knowledge Base.srt
SRT
4.3 KB
10. Designing Metadata Frameworks for Vector Stores.mp4
MP4
10.2 MB
10. Designing Metadata Frameworks for Vector Stores.srt
SRT
6.6 KB
11. High Performance Vector Search Architectures Part 1.mp4
MP4
13.8 MB
11. High Performance Vector Search Architectures Part 1.srt
SRT
8.8 KB
12. High Performance Vector Search Architectures Part 2.mp4
MP4
9.8 MB
12. High Performance Vector Search Architectures Part 2.srt
SRT
7.4 KB
13. Demo Creating a Vector Index in Amazon OpenSearch.mp4
MP4
21.6 MB
13. Demo Creating a Vector Index in Amazon OpenSearch.srt
SRT
6.5 KB
14. Integrating Enterprise Data Sources.mp4
MP4
9 MB
14. Integrating Enterprise Data Sources.srt
SRT
4.7 KB
15. Demo Ingesting Documents into a Vector Store.mp4
MP4
23.7 MB
15. Demo Ingesting Documents into a Vector Store.srt
SRT
7.7 KB
16. Demo Automating Vector Store Updates.mp4
MP4
24.5 MB
16. Demo Automating Vector Store Updates.srt
SRT
8.4 KB
17. Common Vector Store Issues.mp4
MP4
17.2 MB
17. Common Vector Store Issues.srt
SRT
11.4 KB
18. Module Summary Part 1.mp4
MP4
10.6 MB
18. Module Summary Part 1.srt
SRT
6.8 KB
19. Module Summary Part 2.mp4
MP4
8.5 MB
19. Module Summary Part 2.srt
SRT
6 KB
20. Sample Exam Question.mp4
MP4
17 MB
20. Sample Exam Question.srt
SRT
7 KB
demos.txt
TXT
307.2 B
implement-data-validation-and-processing-pipelines-for-fm-consumption-slides.pdf
PDF
27 MB
03. Designing Data Validation Workflows.mp4
MP4
8.5 MB
03. Designing Data Validation Workflows.srt
SRT
5.7 KB
04. Demo Validating Data with AWS Glue Data Quality.mp4
MP4
18.3 MB
04. Demo Validating Data with AWS Glue Data Quality.srt
SRT
6.2 KB
05. Preprocessing Unstructured Data for GenAI Applications.mp4
MP4
12.3 MB
05. Preprocessing Unstructured Data for GenAI Applications.srt
SRT
7.8 KB
06. Processing Multimodal Data.mp4
MP4
13 MB
06. Processing Multimodal Data.srt
SRT
6.8 KB
07. Demo Building a Multimodal Processing Pipeline.mp4
MP4
21.3 MB
07. Demo Building a Multimodal Processing Pipeline.srt
SRT
6.9 KB
08. Formatting Data for Foundation Model Inference.mp4
MP4
13.8 MB
08. Formatting Data for Foundation Model Inference.srt
SRT
7.8 KB
09. Demo Formatting Bedrock Inference Requests.mp4
MP4
5.4 MB
09. Demo Formatting Bedrock Inference Requests.srt
SRT
2 KB
10. Enhancing Input Data Quality.mp4
MP4
10.4 MB
10. Enhancing Input Data Quality.srt
SRT
6.5 KB
11. Using Entity Extraction for Data Enrichment.mp4
MP4
6.5 MB
11. Using Entity Extraction for Data Enrichment.srt
SRT
3.8 KB
12. Demo Enhancing Data with Amazon Comprehend.mp4
MP4
7.3 MB
12. Demo Enhancing Data with Amazon Comprehend.srt
SRT
2.8 KB
13. Designing Scalable Data Processing Pipelines.mp4
MP4
9.3 MB
13. Designing Scalable Data Processing Pipelines.srt
SRT
5.5 KB
14. Using SageMaker Processing for Data Preparation.mp4
MP4
6.6 MB
14. Using SageMaker Processing for Data Preparation.srt
SRT
4.3 KB
15. Demo Running a SageMaker Processing Job.mp4
MP4
26.6 MB
15. Demo Running a SageMaker Processing Job.srt
SRT
6.8 KB
16. Monitoring Data Pipeline Quality.mp4
MP4
6.8 MB
16. Monitoring Data Pipeline Quality.srt
SRT
4.8 KB
17. Common Data Pipeline Issues in GenAI Systems.mp4
MP4
13.5 MB
17. Common Data Pipeline Issues in GenAI Systems.srt
SRT
9.5 KB
18. Module Summary Part 1.mp4
MP4
13.2 MB
18. Module Summary Part 1.srt
SRT
6.8 KB
19. Module Summary Part 2.mp4
MP4
11.8 MB
19. Module Summary Part 2.srt
SRT
7.9 KB
20. Sample Question.mp4
MP4
20 MB
20. Sample Question.srt
SRT
7.9 KB
demos.txt
TXT
307.2 B
select-and-configure-fms-slides.pdf
PDF
22.4 MB
02. Designing Flexible Multi-model Architectures.mp4
MP4
8 MB
02. Designing Flexible Multi-model Architectures.srt
SRT
5.6 KB
03. Demo Dynamic Model Selection.mp4
MP4
13.9 MB
03. Demo Dynamic Model Selection.srt
SRT
5.5 KB
04. Designing Resilient GenAI Systems.mp4
MP4
5 MB
04. Designing Resilient GenAI Systems.srt
SRT
3.4 KB
05. Cross-region Model Deployment Strategies.mp4
MP4
6.8 MB
05. Cross-region Model Deployment Strategies.srt
SRT
4.1 KB
06. Demo Implementing a Model Failover Strategy.mp4
MP4
11.8 MB
06. Demo Implementing a Model Failover Strategy.srt
SRT
4.2 KB
07. Introduction to Model Customization.mp4
MP4
4.6 MB
07. Introduction to Model Customization.srt
SRT
4.3 KB
08. Parameter Efficient Model Customization.mp4
MP4
5.9 MB
08. Parameter Efficient Model Customization.srt
SRT
4.1 KB
09. Deploying Customized Models with SageMaker.mp4
MP4
9.5 MB
09. Deploying Customized Models with SageMaker.srt
SRT
7.3 KB
10. Demo Deploying a Customized Model with SageMaker.mp4
MP4
15.8 MB
10. Demo Deploying a Customized Model with SageMaker.srt
SRT
4.7 KB
11. Model Lifecycle Management Part 1.mp4
MP4
6.4 MB
11. Model Lifecycle Management Part 1.srt
SRT
4.3 KB
12. Model Lifecycle Management Part2.mp4
MP4
8.9 MB
12. Model Lifecycle Management Part2.srt
SRT
6.7 KB
13. Automated Model Deployment Pipelines.mp4
MP4
9.5 MB
13. Automated Model Deployment Pipelines.srt
SRT
7.2 KB
14. Model Governance and Change Control.mp4
MP4
6.5 MB
14. Model Governance and Change Control.srt
SRT
3.9 KB
15. Module_Summary.mp4
MP4
12.2 MB
15. Module_Summary.srt
SRT
7.8 KB
16. Sample Exam Question.mp4
MP4
14.3 MB
16. Sample Exam Question.srt
SRT
7.1 KB
analyze-requirements-and-design-genai-solutions-slides.pdf
PDF
20.3 MB
demos.txt
TXT
409.6 B
01. About the AWS Generative AI Engineer Professional Certification.mp4
MP4
5.8 MB
01. About the AWS Generative AI Engineer Professional Certification.srt
SRT
3.6 KB
02. Selecting Appropriate Foundation Models.mp4
MP4
10.3 MB
02. Selecting Appropriate Foundation Models.srt
SRT
7.3 KB
03. FM Integration Patterns - RAG Workflows Part 1.mp4
MP4
13.7 MB
03. FM Integration Patterns - RAG Workflows Part 1.srt
SRT
9.1 KB
04. FM Integration Patterns - RAG Workflows Part 2.mp4
MP4
6.6 MB
04. FM Integration Patterns - RAG Workflows Part 2.srt
SRT
4.5 KB
05. Demo Building a RAG Workflow.mp4
MP4
19.1 MB
05. Demo Building a RAG Workflow.srt
SRT
6.4 KB
06. FM Integration Patterns - Agentic Orchestration.mp4
MP4
7.6 MB
06. FM Integration Patterns - Agentic Orchestration.srt
SRT
6.1 KB
07. FM Integration Patterns - Event Driven Workflows.mp4
MP4
6.6 MB
07. FM Integration Patterns - Event Driven Workflows.srt
SRT
4.3 KB
08. FM Integration Patterns - Serverless Architectures Part 1.mp4
MP4
9.4 MB
08. FM Integration Patterns - Serverless Architectures Part 1.srt
SRT
6.1 KB
09. FM Integration Patterns - Serverless Architectures Part 2.mp4
MP4
6.2 MB
09. FM Integration Patterns - Serverless Architectures Part 2.srt
SRT
4.7 KB
10. Demo Technical Proof-of-concept Using Amazon Bedrock.mp4
MP4
18.7 MB
10. Demo Technical Proof-of-concept Using Amazon Bedrock.srt
SRT
6.9 KB
11. Understanding AWS AppSync Use Cases.mp4
MP4
4.2 MB
11. Understanding AWS AppSync Use Cases.srt
SRT
3.1 KB
12. Understanding AWS PrivateLink.mp4
MP4
7.4 MB
12. Understanding AWS PrivateLink.srt
SRT
4.3 KB
13. Real Time Inference vs. Batch Processing.mp4
MP4
8.5 MB
13. Real Time Inference vs. Batch Processing.srt
SRT
5.9 KB
14. Demo Real-time and Batch Inference with Amazon Bedrock.mp4
MP4
18.6 MB
14. Demo Real-time and Batch Inference with Amazon Bedrock.srt
SRT
6.7 KB
15. Demo Prompt Management.mp4
MP4
6.1 MB
15. Demo Prompt Management.srt
SRT
2 KB
16. Demo Using Agents for Task Automation.mp4
MP4
21.3 MB
16. Demo Using Agents for Task Automation.srt
SRT
6.9 KB
17. The AWS Well-architected Framework GenAI Lense.mp4
MP4
11.4 MB
17. The AWS Well-architected Framework GenAI Lense.srt
SRT
3.4 KB
18. GenAIOps on AWS.mp4
MP4
11.4 MB
18. GenAIOps on AWS.srt
SRT
9.2 KB
19. Evaluating Performance.mp4
MP4
7.6 MB
19. Evaluating Performance.srt
SRT
5.6 KB
20. Module Summary.mp4
MP4
14.6 MB
20. Module Summary.srt
SRT
9.8 KB
21. Sample Exam Question.mp4
MP4
10.7 MB
21. Sample Exam Question.srt
SRT
5.8 KB

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AIP-C01 - Testing, Validation, and Troubleshooting
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