Advancing data literacy and AI competency for individuals and organizations.
DAMA | Data Governance | Enterprise AI
Building Global Competence in Data and Artificial Intelligence
Through internationally recognized certifications, professional education, and practical enterprise solutions, IIDA helps individuals develop expertise and organizations accelerate digital transformation.
1999
Established
25+
Years of Experience
Global
Global Community
5+
Professional Certifications
About
ABOUT THE IIDA
The International Institute of Data and AI (The IIDA) traces its origins to 1999, when it was incorporated in the State of Delaware. At a time when information technology was rapidly transforming industries, a group of researchers, educators, and experienced IT professionals came together with a shared vision: to advance technology education, provide consulting services to government and commercial organizations, and equip individuals with the practical skills needed to succeed in the digital workforce.
Over the past three decades, the organization has evolved alongside the technology landscape. Today, IIDA operates as an independent nonprofit institute dedicated to advancing research, education, professional development, and certification in the fields of data, artificial intelligence (AI), and digital transformation.
Our Mission
Promoting best practices in data governance, data management, and AI governance.
Encouraging the ethical, responsible, and trustworthy use of data and artificial intelligence.
Conducting research on competency and capability assessment models for measuring data and AI knowledge and professional skills.
Developing high-quality books, research publications, standards, and training materials.
Establishing internationally recognized certification programs that validate professional knowledge and competencies.
Supporting a global ecosystem of authorized education and training partners.
Course
Organizational Structure
The Institute incorporated as a nonprofit public benefit corporation in the State of California. It is designed as a global organization with the following governance principles:
Open membership to individuals and organizations worldwide.
Directors and officers may reside anywhere in the world.
Governance supports virtual board meetings and electronic voting.
Regional chapters or committees may be established as needed under the national organization, rather than creating separate legal corporations in individual states or countries.
Education and certification programs will be delivered through qualified and authorized training partners.
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Certifications
Education and Certification Programs
The Institute offers a comprehensive portfolio of certification programs serving both the general public and data and AI professionals.
1. Public Education Certifications
Programs designed for broad public education in data literacy, digital literacy, and practical AI competency.
CDLF
Data Literacy Certification Program
A foundational program designed for the general public to develop essential data literacy skills, including understanding, interpreting, and effectively using data in everyday life and the workplace.
CDLC
Digital Literacy & AI Competency Certification Program
A general education program focused on digital literacy and practical AI competency, enabling individuals to effectively and responsibly use emerging AI technologies.
2. Professional Certifications
Professional credentials for data governance, data management, chief data office leadership, and enterprise AI deployment.
CDGA
An entry-level professional certification for individuals with vocational, college, or university education seeking to build a career in data governance and data management.
CDGP
An advanced certification intended for experienced data governance professionals.
CCDO
A leadership-oriented certification for professionals responsible for enterprise data strategy, governance programs, and data office operations.
CFDE - Certified Forward Deployed Engineer
CFDE includes Associate, Professional, and Master stages for professionals who design, deliver, and govern enterprise AI solutions.
CFDE-A
Entry-stage FDE certification for professionals learning how to translate business needs into practical AI solutions.
CFDE-P
Professional-stage FDE certification for experienced practitioners delivering enterprise AI, RAG, Agent, and integration projects.
CFDE-M
Master-stage FDE certification for senior leaders designing enterprise-scale AI transformation and governance programs.
Program
Professional Certification - 13 Course Series
Building Professional Capabilities Across Data Governance, Enterprise AI, and Digital Transformation
What Our Learners Say
Hear from professionals who have completed IIDA certification programs and applied their knowledge to real-world business scenarios.
Dr. Emily Chen
Data Governance Lead聚焦数据治理、数据质量和企业级数据能力建设。
Michael Turner
Enterprise AI Architect负责企业 AI 落地架构、集成路径和交付方法设计。
Sophia Li
CDO Practice Advisor长期辅导 CDO、数据办公室和治理委员会能力建设。
Arjun Kumar
FDE Delivery Mentor带领学员完成从需求识别到方案交付的 FDE 实战训练。
Laura Bennett
Analytics Program Director擅长分析体系、指标管理和数据驱动决策课程设计。
David Johnson
AI Transformation Consultant服务制造、金融、医疗和能源企业 AI 转型项目。
Maya Reynolds
Knowledge Architecture Expert专注知识图谱、语义层、知识库和可信数据资产。
Kenji Sato
Agent Engineering Instructor讲授 LLM、Prompt、Tool Calling、MCP 和 Agent 工作流。
Nadia Hassan
Responsible AI Advisor关注 AI 治理、伦理合规和可信人工智能实践。
Thomas Walker
Data Strategy Coach帮助管理层建立数据战略、路线图和组织协同机制。
Priya Shah
RAG Solution Specialist设计企业 RAG、检索增强和业务知识库解决方案。
Robert Miller
Executive Workshop Facilitator负责行业案例拆解、答辩辅导和高管 Workshop。
Course Syllabus
Clicking on each course will expand to view learning objectives, core skills, and course details.
Data Management Fundamentals
Lesson 1 · 2 hours
您将学到什么
- Discussion on the emergence of data management as a profession
- Discuss the relationship and differences between data and information
- Discussing data as an organizational asset
- Discussing the guiding objectives of data management
- Discussing guiding principles for data management
- the challenges of data management
- Discussing data management strategies
- Understanding common data management frameworks
- A DAMA framework describing data management
- Discussing the evolution of DAMA (Data Management Architecture) frameworks
- Understanding DAMA and DMBOK
您将获得的技能
Data governance
Lesson 2 · 2 hours
您将学到什么
- Discussing guiding principles for data governance
- Understanding the key drivers of data governance
- Identify the main components of data governance
- Understanding Key Data Management Terminology and Definitions
- Analyzing key indicators of data governance
- Describe the key outputs of data governance
- Discussing the basic roles, responsibilities, and duties in data governance
- Identify key tools for data governance
- Application of data governance strategies
- Evaluating data governance theories
- Applying theory to real-world scenarios
您将获得的技能
Data Architecture
Lesson 3 · 2 hours
您将学到什么
- Understand the key terms and definitions in data architecture management
- Discussing guiding principles for data architecture management
- Understanding the key drivers of data architecture management
- Determine the main components of the data architecture
- Analyze key metrics of data architecture
- Key outputs describing the data architecture
- Discuss the basic roles and responsibilities in data architecture
- Identify key tools in the data architecture
- Application data architecture strategy
- Evaluate data architecture theory
- Applying theory to real-world scenarios
- Governance of data architecture management
您将获得的技能
Data modeling and design
Lesson 4 · 2 hours
您将学到什么
- Understanding key terms and definitions in data modeling and design
- Discussing guiding principles for data modeling and design
- Identify the main components of data modeling and design
- Analyze key metrics for data modeling and design
- Describe the key outputs of data modeling and design
- Discussing the basic roles, responsibilities, and duties in data modeling and design.
- Identifying key tools in data modeling and design
- Application strategies of data modeling and design
- Theories for evaluating data modeling and design
- Applying data modeling and design theory to real-world scenarios
- Governance in Data Modeling and Design
您将获得的技能
Data storage and operation
Lesson 5 · 2 hours
您将学到什么
- Understanding key terms and definitions in data storage and operations
- Discussing guiding principles for data storage and operations
- Understanding the key drivers of data storage and operation
- Identify the main components of data storage and operation
- Analyze key metrics for data storage and operation
- Key outputs describing data storage and operations
- Discussing the basic duties and responsibilities in data storage and operation
- Identify key tools for data storage and operation
- Application strategies for data storage and operation
- Evaluation of data storage and operation theories
- Applying data storage and operation theories to real-world scenarios
- Management in data storage and operations
您将获得的技能
Data security
Lesson 6 · 2 hours
您将学到什么
- Understanding key terms and definitions in data security management
- Discussing guiding principles for data security management
- Understanding the key drivers of data security management
- Identify the main components of data security management
- Analyze key indicators for data security management
- Describe the key outputs of data security management
- Discussing the key roles and responsibilities in data security management
- Key tools for identifying data security management
- Application strategies in data security management
- Evaluate data security management theories
- Applying data security theory to real-world scenarios
- Governance in Data Security Management
您将获得的技能
Data integration and interoperability
Lesson 7 · 2 hours
您将学到什么
- Understanding key terms and definitions for data integration and interoperability
- Discussing guiding principles for data integration and interoperability
- Understanding the key drivers of data integration and interoperability
- Identify the key components of data integration and interoperability
- Analyze key metrics for data integration and interoperability
- Key outputs describing data integration and interoperability
- Discussing the basic roles, responsibilities, and duties in data integration and interoperability.
- Key tools for identifying data integration and interoperability
- Application strategies for data integration and interoperability
- Evaluation of data integration and interoperability theories
- Applying data integration and interoperability theories to real-world scenarios
- Governance in Data Integration and Interoperability
您将获得的技能
Reference data and master data management
Lesson 8 · 2 hours
您将学到什么
- Understand the key terms and definitions in reference data and master data management
- Discussing the guiding principles for reference data and master data management
- Understanding the key drivers of reference data and master data management
- Identify the main components of reference data and master data management functions.
- Analyze reference data and key metrics for master data management
- Key outputs describing reference data and master data management
- Discuss the basic duties and responsibilities in reference data and master data management.
- Key tools for identifying reference data and master data management
- Application of reference data and master data management strategies
- Evaluation reference data and master data management theory
- Applying reference data and master data management theories to real-world scenarios
- Governance in Master Data Management
您将获得的技能
Data warehousing and business intelligence
Lesson 9 · 2 hours
您将学到什么
- Understanding key terms and definitions in data warehousing and business intelligence
- Guiding principles for discussing data warehousing and business intelligence
- Understanding the key drivers of data warehousing and business intelligence
- Identify the key components in data warehousing and business intelligence functions
- Analyzing key metrics for data warehousing and business intelligence
- Describe the key outputs of data warehousing and business intelligence
- Discussing key roles and responsibilities in data warehousing and business intelligence
- Key tools for identifying data warehousing and business intelligence
- Strategies for applying data warehousing and business intelligence management
- Applying data warehousing and business intelligence theories to real-world scenarios
- Governance in Data Warehouses and Business Intelligence
您将获得的技能
Document and Content Management
Lesson 10 · 2 hours
您将学到什么
- Understanding key terms and definitions in document and content management
- Discussing guidelines for document and content management
- Understanding the key drivers of document and content management
- Identify the main components in file and content management functions
- Key metrics for analysis of document and content management functions
- Key outputs of description files and content management
- Discuss the basic roles, responsibilities, and duties of document and content management
- Identify key tools for document and content management
- Strategies in Application File and Content Management
- Applying document and content management theories to real-world scenarios
- document and content management
您将获得的技能
Metadata Management
Lesson 11 · 2 hours
您将学到什么
- Understanding key terms and definitions in metadata management
- Discussing guiding principles for metadata management
- Understanding the key drivers of metadata management
- Identify the main components of metadata management functionality
- Analyze key metrics for metadata management
- Describe the key outputs of metadata management
- Discussing the basic roles and responsibilities in metadata management
- Identify key tools for metadata management
- Strategies in application metadata management
- Applying metadata management theory to real-world scenarios
- Governance in Metadata Management
您将获得的技能
Data quality management
Lesson 12 · 2 hours
您将学到什么
- Understanding key data quality terms and definitions
- Discussing guiding principles for data quality
- Understanding the key drivers of data quality
- Determine the main components of data quality functions
- Key metrics for analyzing data quality
- Key outputs describing data quality functions
- Discuss the basic duties and responsibilities of the data quality function
- Key tools for determining data quality
- Application of data quality management strategies
- Applying data quality theory to real-world scenarios
- Governance in Data Quality Management
您将获得的技能
Data Ethics
Lesson 13 · 2 hours
您将学到什么
- Discussing the driving factors of data management
- Discussing data ethics guidelines
- Understanding key terms in data ethics
- Discussing the establishment of a data ethics culture
- Governance in Data Ethics
您将获得的技能
Contact Us
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info@maxaur.com
703-582-7215
1820 Michael Faraday Drive, Suite 19, Reston, VA 20190, USA