Duration

Half Day to 1 Day

Level

Foundation

Prerequisites

None

Format

Onsite, Virtual, Hybrid

Certificate

Certificate of Participation

Audience

Business & Non-Technical Professionals

Who Should Attend

This training is ideal for:

Students and Graduates
Business Users
Managers and Team Leaders
Project Managers
Business Analysts
Product Owners
HR Professionals
Operations Teams
Anyone looking to understand Data and AI

Why Data & AI Literacy Matters

Organizations across every industry are investing heavily in Data and Artificial Intelligence.

However, many professionals struggle because they do not understand the fundamental concepts behind modern data ecosystems and AI technologies.

This training bridges that gap by providing a practical understanding of how data and AI work together to support business decisions, innovation, and digital transformation.

Participants will gain the confidence to engage with Data Engineers, Data Scientists, Architects, and AI teams using a common language and shared understanding — the core outcome of effective Data Awareness Training and AI Training Malaysia programs.

Learning Outcomes

Participants will learn:

Data Fundamentals

  • What is Data
  • Types of Data
  • Structured Data
  • Semi-Structured Data
  • Unstructured Data

Understanding Information

  • Data vs Information
  • Data-Information-Knowledge-Wisdom (DIKW)
  • Business Context

Metadata

  • What Metadata Is
  • Why Metadata Matters
  • Business Metadata
  • Technical Metadata

Enterprise Data Building Blocks

  • Master Data
  • Reference Data
  • Transactional Data
  • Metadata

Data Governance

  • Ownership
  • Stewardship
  • Quality
  • Trust

Data Quality

  • Accuracy
  • Completeness
  • Consistency
  • Validity
  • Uniqueness
  • Timeliness

Artificial Intelligence

  • Evolution of AI
  • Machine Learning
  • Generative AI
  • Agentic AI

Business Use Cases

  • Real-world Data & AI examples
  • Business transformation opportunities
  • AI adoption considerations

Course Agenda

1

Introduction to Data

2

Understanding Metadata

3

Enterprise Data Building Blocks

4

Data Governance Fundamentals

5

Data Quality Fundamentals

6

Introduction to Artificial Intelligence

7

Generative AI & Agentic AI

8

Business Applications and Use Cases

How We Teach

YPT training combines:

Practical business examples
Interactive discussions
Real-world case studies
Industry scenarios
Visual learning techniques
Simplified explanations of complex concepts

Participants are not expected to have technical expertise.

The focus is on understanding concepts, terminology, business impact, and practical applications.

Why Learn From YPT

24+ Years of Experience

Experience across multiple countries and industries.

Published Author

Author of multiple Data & AI books.

Global Community

43,000+ member Data & AI community.

International Podcast

Host of the "Let's Talk About Data!" podcast.

Industry Frameworks

Creator of the Four 4s Formula, Value Discovery Canvas, DAC Architecture, and PVP Approach.

Training Delivery Options

Public Workshops

Scheduled training sessions.

Corporate Training

Private sessions for organizations.

University Programs

Student and graduate development programs.

Virtual Delivery

Online instructor-led training.

Onsite Delivery

Face-to-face training at customer locations.

Start Your Data & AI Journey

Build the foundational knowledge needed to understand Data, Analytics, Artificial Intelligence, and Agentic AI in today's digital economy.

Explore more programs on our Data & AI Training page. Ready to go deeper? Continue with The Data Blueprint.