Pideya Learning Academy

Next-Level Data Governance Using AI Tools

Upcoming Schedules

  • Schedule

Date Venue Duration Fee (USD)
21 Jul - 25 Jul 2025 Live Online 5 Day 3250
15 Sep - 19 Sep 2025 Live Online 5 Day 3250
27 Oct - 31 Oct 2025 Live Online 5 Day 3250
24 Nov - 28 Nov 2025 Live Online 5 Day 3250
10 Feb - 14 Feb 2025 Live Online 5 Day 3250
31 Mar - 04 Apr 2025 Live Online 5 Day 3250
12 May - 16 May 2025 Live Online 5 Day 3250
16 Jun - 20 Jun 2025 Live Online 5 Day 3250

Course Overview

In the rapidly evolving digital economy, data is no longer just a byproduct of business operations—it is a strategic asset driving enterprise innovation, risk management, and competitive advantage. Yet, the true value of data can only be realized through effective governance frameworks that ensure security, quality, compliance, and ethical use. “Next-Level Data Governance Using AI Tools,” offered by Pideya Learning Academy, empowers organizations to move beyond legacy governance models by integrating advanced Artificial Intelligence (AI) tools that support scalable, intelligent, and resilient data ecosystems.
As organizations face exponential growth in data volume and complexity, the need for automated, adaptive governance solutions becomes increasingly urgent. According to IDC, global data creation is projected to reach 175 zettabytes by 2025, up from 33 zettabytes in 2018. Simultaneously, Gartner forecasts that 65% of the global population will have their personal data covered under privacy regulations by 2026. This dual challenge of scale and compliance requires a radical shift from traditional governance strategies to AI-driven models that proactively manage data assets across multi-cloud environments, disparate systems, and global regulatory frameworks.
This course provides a comprehensive learning pathway that combines foundational governance principles with cutting-edge AI capabilities, enabling participants to design and deploy data governance strategies tailored for modern enterprises. Through the lens of AI, participants will explore how technologies such as Natural Language Processing (NLP), Machine Learning (ML), and intelligent automation can be harnessed to enhance metadata management, classification, and policy enforcement.
Participants will benefit from unique learning modules that address how artificial intelligence enables scalable, secure, and adaptive data governance. Key highlights of the Next-Level Data Governance Using AI Tools training include:
Integration of AI for scalable data stewardship and continuous policy enforcement
Automation of data classification, lineage tracking, and quality monitoring
AI-enabled risk detection and real-time compliance auditing
Frameworks for ethical AI and responsible data governance
Implementation strategies for AI in metadata management and data catalogs
Regulatory readiness using cognitive technologies and intelligent policy engines
Alignment of data governance strategy with organizational digital transformation goals
The training also dives into how AI facilitates predictive policy breach detection, continuous compliance validation, and anomaly detection—all critical for staying ahead of ever-evolving data regulations. Participants will gain exposure to advanced techniques for establishing trustworthy metadata environments and implementing enterprise-wide governance protocols that are intelligent, self-improving, and context-aware.
What sets this program apart is its emphasis on aligning AI-driven governance initiatives with broader organizational outcomes. By exploring both the technical and strategic dimensions of modern data governance, the course empowers professionals to create governance ecosystems that support innovation while minimizing risk. Ethical governance, transparency, and accountability are woven throughout the program, ensuring participants understand not only how to govern data efficiently, but also how to do so responsibly in line with global standards and stakeholder expectations.
By the end of the course, participants will have a clear understanding of how to leverage AI for high-impact governance transformation. With expert-led sessions and real-world case scenarios curated by Pideya Learning Academy, this course delivers a results-focused learning experience that enables data professionals, compliance leaders, and business decision-makers to elevate their governance capabilities and prepare for the future of intelligent data ecosystems.
Whether you’re a Chief Data Officer, compliance strategist, or IT leader, this course provides the knowledge, frameworks, and tools to lead the next wave of data governance evolution—grounded in AI, driven by ethics, and aligned with enterprise innovation.

Key Takeaways:

  • Integration of AI for scalable data stewardship and continuous policy enforcement
  • Automation of data classification, lineage tracking, and quality monitoring
  • AI-enabled risk detection and real-time compliance auditing
  • Frameworks for ethical AI and responsible data governance
  • Implementation strategies for AI in metadata management and data catalogs
  • Regulatory readiness using cognitive technologies and intelligent policy engines
  • Alignment of data governance strategy with organizational digital transformation goals
  • Integration of AI for scalable data stewardship and continuous policy enforcement
  • Automation of data classification, lineage tracking, and quality monitoring
  • AI-enabled risk detection and real-time compliance auditing
  • Frameworks for ethical AI and responsible data governance
  • Implementation strategies for AI in metadata management and data catalogs
  • Regulatory readiness using cognitive technologies and intelligent policy engines
  • Alignment of data governance strategy with organizational digital transformation goals

Course Objectives

After completing this Pideya Learning Academy training, the participants will learn to:
Understand the modern challenges and imperatives of enterprise data governance
Explore the AI tools transforming governance, including NLP, ML models, and intelligent workflows
Build scalable data governance frameworks powered by automation and analytics
Identify and mitigate data risks using AI-driven monitoring and audit trails
Implement responsible AI principles in governance systems
Develop AI-enhanced data policies, taxonomies, and cataloging mechanisms
Leverage AI for continuous regulatory compliance and data ethics enforcement
Integrate data governance strategies with enterprise-wide digital transformation agendas

Personal Benefits

Gain advanced skills in AI-infused data governance systems
Increase employability and leadership potential in data-centric roles
Build proficiency in regulatory standards, data ethics, and digital responsibility
Learn to select and apply AI tools for governance automation
Stay ahead of global data policy trends and technologies

Organisational Benefits

Strengthen compliance posture through AI-enabled governance
Enhance data quality, traceability, and operational resilience
Drive decision-making accuracy by improving data trustworthiness
Reduce regulatory risk and improve audit readiness
Align data strategy with business intelligence and digital goals
Enable cultural shifts towards ethical and secure data management

Who Should Attend

Chief Data Officers and Data Governance Leaders
Data Architects and Data Engineers
Compliance and Risk Management Officers
Information Security Professionals
AI and Machine Learning Strategists
Business Intelligence and Analytics Managers
IT Managers overseeing digital transformation
Detailed Training

Course Outline

Module 1: Foundations of Modern Data Governance
Evolution of Data Governance in the AI Era Core Components: Quality, Security, Privacy, Compliance Data Governance vs Data Management The Role of Governance in Enterprise Strategy Challenges in Traditional Governance Models Data Governance Maturity Models
Module 2: AI Fundamentals for Governance Applications
Introduction to AI, ML, and NLP in Governance AI Lifecycle and Governance Use Cases Understanding Intelligent Automation AI Tools for Metadata Tagging and Discovery Deep Learning for Data Contextualization Ethics and Explainability in AI Applications
Module 3: AI-Driven Data Quality Management
AI Models for Profiling and Cleansing Predictive Data Anomaly Detection Pattern Recognition in Data Streams Feedback Loops for Continuous Quality Monitoring Root Cause Analysis Using AI Automated Alerts and Threshold Systems
Module 4: Intelligent Metadata and Data Catalogs
Building AI-Powered Data Catalogs Semantic Layer Creation Using NLP Metadata Harvesting Using Bots Dynamic Classification and Tagging Context-Aware Metadata Enrichment Integration with BI and Discovery Platforms
Module 5: Policy Enforcement and Access Governance
Role-Based Access Powered by AI Automated Policy Generation and Validation Identity and Access Management Enhancements Adaptive Access Using Behavior Analytics AI in Consent Management and Authorization Logs Audit Trails and Tamper-Proof Records
Module 6: AI-Powered Compliance and Risk Management
AI for Regulatory Mapping and Gap Detection Risk Scoring Algorithms and Prioritization Continuous Monitoring with Cognitive Agents AI-Driven Compliance Dashboards Managing Multi-Jurisdictional Regulations Data Sovereignty and Cross-Border Compliance
Module 7: Governance for Unstructured and Real-Time Data
AI in Document Classification and Clustering Voice, Video, and Text Data Governance Stream Data Governance in Real Time Intelligent Archiving and Retention Policies Indexing for Governance in Data Lakes Processing IoT and Edge Data with AI
Module 8: Strategy, Adoption, and Governance Transformation
Developing an AI-Enhanced Governance Roadmap Change Management and AI Adoption Barriers Building Governance Centers of Excellence KPIs and Success Metrics for Governance Aligning Governance with Digital Strategy Future Trends in AI-Governed Enterprises

Have Any Question?

We’re here to help! Reach out to us for any inquiries about our courses, training programs, or enrollment details. Our team is ready to assist you every step of the way.