Data Planning, Strategy, and Compliance for AI Initiatives

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  • Type Tutorials
  • Language English
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Infohash : BE7B2ED00BAB00E4707F7DFF6FC8D4C2FF02B46C



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.

Files:

[ WebToolTip.com ] Data Planning, Strategy, and Compliance for AI Initiatives
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 01 - Introduction
    • 01 - Welcome to this course.mp4 (2.6 MB)
    • 01 - Welcome to this course.srt (1.3 KB)
    • 02 - Things you should know.mp4 (1.4 MB)
    • 02 - Things you should know.srt (1.7 KB)
    02 - 1. Data Collection Fundamentals
    • 01 - Identifying data sources.mp4 (12.0 MB)
    • 01 - Identifying data sources.srt (10.5 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)
    • 03 - Data sampling techniques and statistical considerations.mp4 (8.8 MB)
    • 03 - Data sampling techniques and statistical considerations.srt (7.7 KB)
    • 04 - Workflows for automated data collection.mp4 (13.1 MB)
    • 04 - Workflows for automated data collection.srt (10.2 KB)
    • 05 - Challenge Identify relevant data collection metrics.mp4 (474.1 KB)
    • 05 - Challenge Identify relevant data collection metrics.srt (0.4 KB)
    • 06 - Solution Identify relevant data collection metrics.mp4 (984.0 KB)
    • 06 - Solution Identify relevant data collection metrics.srt (0.9 KB)
    03 - 2. Data Quality Frameworks
    • 01 - Data quality metrics.mp4 (7.2 MB)
    • 01 - Data quality metrics.srt (5.9 KB)
    • 02 - Data validation and verification procedures.mp4 (5.1 MB)
    • 02 - Data validation and verification procedures.srt (4.7 KB)
    • 03 - Error detection and correction methodologies.mp4 (8.1 MB)
    • 03 - Error detection and correction methodologies.srt (7.0 KB)
    • 04 - Challenge Data quality assessment.mp4 (373.2 KB)
    • 04 - Challenge Data quality assessment.srt (0.3 KB)
    • 05 - Solution Data quality assessment.mp4 (520.1 KB)
    • 05 - Solution Data quality assessment.srt (0.4 KB)
    04 - 3. Data Preparation
    • 01 - Data normalization and standardization.mp4 (11.0 MB)
    • 01 - Data normalization and standardization.srt (9.2 KB)
    • 02 - Handling missing data and outliers.mp4 (11.0 MB)
    • 02 - Handling missing data and outliers.srt (10.3 KB)
    • 03 - Data augmentation techniques.mp4 (10.5 MB)
    • 03 - Data augmentation techniques.srt (7.4 KB)
    • 04 - Feature engineering and selection.mp4 (12.3 MB)
    • 04 - Feature engineering and selection.srt (9.9 KB)
    • 05 - Challenge Engineer features.mp4 (416.3 KB)
    • 05 - Challenge Engineer features.srt (0.2 KB)
    • 06 - Solution Engineer features.mp4 (1.6 MB)
    • 06 - Solution Engineer features.srt (1.5 KB)
    05 - 4. AI Storage Systems
    • 01 - Types of storage systems Object storage.mp4 (8.7 MB)
    • 01 - Types of storage systems Object storage.srt (6.9 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 - Types of storage systems Databases.mp4 (17.9 MB)
    • 03 - Types of storage systems Databases.srt (14.9 KB)
    • 04 - Challenge Storage system selection.mp4 (629.5 KB)
    • 04 - Challenge Storage system selection.srt (0.5 KB)
    • 05 - Solution Storage system selection.mp4 (630.1 KB)
    • 05 - Solution Storage system selection.srt (0.5 KB)
    06 - 5. AI Processing Infrastructure
    • 01 - Batch processing systems.mp4 (7.7 MB)
    • 01 - Batch processing systems.srt (7.9 KB)
    • 02 - Stream processing systems.mp4 (12.7 MB)
    • 02 - Stream processing systems.srt (12.8 KB)
    • 03 - Scaling AI processing.mp4 (14.5 MB)
    • 03 - Scaling AI processing.srt (13.4 KB)
    • 04 - Challenge Choosing a framework.mp4 (601.5 KB)
    • 04 - Challenge Choosing a framework.srt (0.4 KB)
    • 05 - Solution Choosing a framework.mp4 (431.0 KB)
    • 05 - Solution Choosing a framework.srt (0.4 KB)
    07 - 6. Optimizing AI Process Workflows
    • 01 - Metadata management.mp4 (11.7 MB)
    • 01 - Metadata management.srt (10.3 KB)
    • 02 - Feature stores.mp4 (10.9 MB)
    • 02 - Feature stores.srt (9.9 KB)
    • 03 - Caching.mp4 (8.6 MB)
    • 03 - Caching.srt (8.1 KB)
    • 04 - Challenge Feature store capabilities.mp4 (589.4 KB)
    • 04 - Challenge Feature store capabilities.srt (0.4 KB)
    • 05 - Solution Feature store capabilities.mp4 (1.0 MB)
    • 05 - Solution Feature store capabilities.srt (0.8 KB)
    08 - 7. Real-Time Data Processing for AI Applications
    • 01 - Event-driven architectures.mp4 (10.9 MB)
    • 01 - Event-driven architectures.srt (10.6 KB)
    • 02 - Real-time data integration patterns.mp4 (17.7 MB)
    • 02 - Real-time data integration patterns.srt (15.9 KB)
    • 03 - Monitoring and alerting systems.mp4 (14.9 MB)
    • 03 - Monitoring and alerting systems.srt (12.4 KB)
    • 04 - Challenge Architecture patterns.mp4 (625.4 KB)
    • 04 - Challenge Architecture patterns.srt (0.5 KB)
    • 05 - Solution Architecture patterns.mp4 (636.6 KB)
    • 05 - Solution Architecture patterns.srt (0.6 KB)
    09 - 8. Secure Data Management for AI Implementation
    • 01 - Security compliance and regulation.mp4 (11.9 MB)
    • 01 - Security compliance and regulation.srt (11.8 KB)
    • 02 - Privacy-preserving AI methods.mp4 (9.7 MB)
    • 02 - Privacy-preserving AI methods.srt (8.0 KB)
    • 03 - Data governance frameworks.mp4 (11.0 MB)
    • 03 - Data governance frameworks.srt (10.5 KB)
    • 04 - Audit trails and logging.mp4 (8.7 MB)
    • 04 - Audit trails and logging.srt (6.9 KB)
    • 05 - Challenge Privacy-preserving methods.mp4 (867.4 KB)
    • 05 - Challenge Privacy-preserving methods.srt (0.7 KB)
    • 06 - Solution Privacy-preserving methods.mp4 (758.4 KB)
    • 06 - Solution Privacy-preserving methods.srt (0.8 KB)
    10 - 9. Ethical Considerations
    • 01 - AI ethics and responsible data use.mp4 (7.5 MB)
    • 01 - AI ethics and responsible data use.srt (5.3 KB)
    • 02 - Transparency and explainability.mp4 (10.8 MB)
    • 02 - Transparency and explainability.srt (9.5 KB)
    • 03 - Ethical guidelines and standards.mp4 (8.8 MB)
    • 03 - Ethical guidelines and standards.srt (8.6 KB)
    • 04 - Challenge Ethical principles.mp4 (502.9 KB)
    • 04 - Challenge Ethical principles.srt (0.4 KB)
    • 05 - Solution Ethical principles.mp4 (800.9 KB)
    • 05 - Solution Ethical principles.srt (0.6 KB)
    11 - Conclusion
    • 01 - Next steps.mp4 (1.0 MB)
    • 01 - Next steps.srt (0.9 KB)
    • Bonus Resources.txt (0.1 KB)

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