Data Planning, Strategy, and Compliance for AI Initiatives

seeders: 4
leechers: 4
Added 1 year ago by freecoursewb in Other

Download Fast Safe Anonymous
movies, software, shows...

Files

Data Planning, Strategy, and Compliance for AI Initiatives (Size: 344.3 MB)
  01 - AI ethics and responsible data use.mp4 7.5 MB
  01 - AI ethics and responsible data use.srt 5.3 KB
  01 - Batch processing systems.mp4 7.7 MB
  01 - Batch processing systems.srt 7.9 KB
  01 - Data normalization and standardization.mp4 11 MB
  01 - Data normalization and standardization.srt 9.2 KB
  01 - Data quality metrics.mp4 7.2 MB
  01 - Data quality metrics.srt 5.9 KB
  01 - Event-driven architectures.mp4 10.9 MB
  01 - Event-driven architectures.srt 10.6 KB
  01 - Identifying data sources.mp4 12 MB
  01 - Identifying data sources.srt 10.5 KB
  01 - Metadata management.mp4 11.7 MB
  01 - Metadata management.srt 10.3 KB
  01 - Next steps.mp4 1 MB
  01 - Next steps.srt 921.6 B
  01 - Security compliance and regulation.mp4 11.9 MB
  01 - Security compliance and regulation.srt 11.8 KB
  01 - Types of storage systems Object storage.mp4 8.7 MB
  01 - Types of storage systems Object storage.srt 6.9 KB
  01 - Welcome to this course.mp4 2.6 MB
  01 - Welcome to this course.srt 1.3 KB
  02 - Data validation and verification procedures.mp4 5.1 MB
  02 - Data validation and verification procedures.srt 4.7 KB
  02 - Feature stores.mp4 10.9 MB
  02 - Feature stores.srt 9.9 KB
  02 - Handling missing data and outliers.mp4 11 MB
  02 - Handling missing data and outliers.srt 10.3 KB
  02 - Privacy-preserving AI methods.mp4 9.7 MB
  02 - Privacy-preserving AI methods.srt 8 KB
  02 - Real-time data integration patterns.mp4 17.7 MB
  02 - Real-time data integration patterns.srt 15.9 KB
  02 - Stream processing systems.mp4 12.7 MB
  02 - Stream processing systems.srt 12.8 KB
  02 - Structured, semi-structured, and unstructured data collection.mp4 14.4 MB
  02 - Structured, semi-structured, and unstructured data collection.srt 11.8 KB
  02 - Things you should know.mp4 1.4 MB
  02 - Things you should know.srt 1.7 KB
  02 - Transparency and explainability.mp4 10.8 MB
  02 - Transparency and explainability.srt 9.5 KB
  02 - Types of storage systems Block and file storage.mp4 8.5 MB
  02 - Types of storage systems Block and file storage.srt 7.1 KB
  03 - Caching.mp4 8.6 MB
  03 - Caching.srt 8.1 KB
  03 - Data augmentation techniques.mp4 10.5 MB
  03 - Data augmentation techniques.srt 7.4 KB
  03 - Data governance frameworks.mp4 11 MB
  03 - Data governance frameworks.srt 10.5 KB
  03 - Data sampling techniques and statistical considerations.mp4 8.8 MB
  03 - Data sampling techniques and statistical considerations.srt 7.7 KB
  03 - Error detection and correction methodologies.mp4 8.1 MB
  03 - Error detection and correction methodologies.srt 7 KB
  03 - Ethical guidelines and standards.mp4 8.8 MB
  03 - Ethical guidelines and standards.srt 8.6 KB
  03 - Monitoring and alerting systems.mp4 14.9 MB
  03 - Monitoring and alerting systems.srt 12.4 KB
  03 - Scaling AI processing.mp4 14.5 MB
  03 - Scaling AI processing.srt 13.4 KB
  03 - Types of storage systems Databases.mp4 17.9 MB
  03 - Types of storage systems Databases.srt 14.9 KB
  04 - Audit trails and logging.mp4 8.7 MB
  04 - Audit trails and logging.srt 6.9 KB
  04 - Challenge Architecture patterns.mp4 625.4 KB
  04 - Challenge Architecture patterns.srt 512 B
  04 - Challenge Choosing a framework.mp4 601.5 KB
  04 - Challenge Choosing a framework.srt 409.6 B
  04 - Challenge Data quality assessment.mp4 373.2 KB
  04 - Challenge Data quality assessment.srt 307.2 B
  04 - Challenge Ethical principles.mp4 502.9 KB
  04 - Challenge Ethical principles.srt 409.6 B
  04 - Challenge Feature store capabilities.mp4 589.4 KB
  04 - Challenge Feature store capabilities.srt 409.6 B
  04 - Challenge Storage system selection.mp4 629.5 KB
  04 - Challenge Storage system selection.srt 512 B
  04 - Feature engineering and selection.mp4 12.3 MB
  04 - Feature engineering and selection.srt 9.9 KB
  04 - Workflows for automated data collection.mp4 13.1 MB
  04 - Workflows for automated data collection.srt 10.2 KB
  05 - Challenge Engineer features.mp4 416.3 KB
  05 - Challenge Engineer features.srt 204.8 B
  05 - Challenge Identify relevant data collection metrics.mp4 474.1 KB
  05 - Challenge Identify relevant data collection metrics.srt 409.6 B
  05 - Challenge Privacy-preserving methods.mp4 867.4 KB
  05 - Challenge Privacy-preserving methods.srt 716.8 B
  05 - Solution Architecture patterns.mp4 636.6 KB
  05 - Solution Architecture patterns.srt 614.4 B
  05 - Solution Choosing a framework.mp4 431 KB
  05 - Solution Choosing a framework.srt 409.6 B
  05 - Solution Data quality assessment.mp4 520.1 KB
  05 - Solution Data quality assessment.srt 409.6 B
  05 - Solution Ethical principles.mp4 800.9 KB
  05 - Solution Ethical principles.srt 614.4 B
  05 - Solution Feature store capabilities.mp4 1 MB
  05 - Solution Feature store capabilities.srt 819.2 B
  05 - Solution Storage system selection.mp4 630.1 KB
  05 - Solution Storage system selection.srt 512 B
  06 - Solution Engineer features.mp4 1.6 MB
  06 - Solution Engineer features.srt 1.5 KB
  06 - Solution Identify relevant data collection metrics.mp4 984 KB
  06 - Solution Identify relevant data collection metrics.srt 921.6 B
  06 - Solution Privacy-preserving methods.mp4 758.4 KB
  06 - Solution Privacy-preserving methods.srt 819.2 B
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 104 total files

Description


Data Planning, Strategy, and Compliance for AI Initiatives

https://WebToolTip.com

Released 05/2025
With Dan Sullivan
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 3h 17m 17s | Size: 344 MB

Explore core technologies, best practices, and privacy-preserving methods to enhance AI initiatives within diverse industries.

Course details
Dive into AI strategies that propel organizational goals with expert guidance from cloud architect, author, and Google Cloud expert Dan Sullivan. Learn how to align AI technologies with business objectives. Discover best practices for sourcing data, ensuring data quality, and preserving privacy. Gain insights into structured, semi-structured, and unstructured data, through topics such as batch and stream processing, data governance, audit trails, and ethical frameworks in AI initiatives. Enhance your knowledge in crucial areas such as data integration, regulatory compliance, and feature engineering. Equip yourself with the skills to analyze real-world data challenges and optimize your organization's AI infrastructure. Whether you are tasked with transforming business processes or advancing AI capabilities, this course offers tools that can help you navigate complex data environments and achieve scalable, reliable AI solutions.

Related Torrents

torrent name size uploader age seed leech
1
0