• The History of AI — Timeline & Milestones

• AI Terminology & The AI Ecosystem

• Types of Artificial Intelligence (ANI, AGI, ASI)

• Generative AI Landscape

• AI Use Cases — Banking, Finance & Healthcare

• Ethics Concerns and Risks

• Machine Learning Fundamentals

• How Machine Learning Works

• Machine Learning Types

• Deep Learning Fundamentals & Neural Network Architectures

• GenAI & LLM Fundamentals

• Transformer Architecture

• Prompt Engineering

• Agentic AI & Autonomous Systems

• The AI System Life Cycle — Six Stages

• AI Leadership Framework & 12 Essential Traits

• AI Governance Fundamentals

• Trustworthy AI — Five Layers

• EU AI Act — Risk Classification & Obligations

Understand what AI is in practical terms, how it differs from automation and traditional software, and how it has evolved — from early narrow-AI systems through today's generative and agentic AI.

Learn how machine learning transforms raw data into actionable intelligence, the analytics maturity journey, and how deep neural networks learn complex patterns from large volumes of data.

Understand generative AI, the transformer architecture behind modern LLMs, prompt engineering as a practical skill, and the rise of agentic, autonomous AI systems.

Follow the end-to-end journey from business understanding and data preparation through model development, evaluation, and operationalization — and understand why continuous monitoring matters.

Build awareness of the five layers of trustworthy AI, core AI governance components, and the risk-based obligations introduced by the EU AI Act.

Understand the seven patterns of AI, how AI is expected to evolve over the coming decade, and what it means to build an AI-ready culture and career.

CAIF is a 1-day instructor-led foundation-level training and certification from Digital Union, focused on AI awareness, fundamentals, and real-world understanding for professionals beginning their AI journey.

Business professionals, team leads, educators, policy stakeholders, and non-technical decision-makers who need a strong understanding of AI terminology, applications, benefits, limitations, and responsible adoption.

You will learn what AI is and how it works, how AI differs from automation, machine learning and deep learning basics, generative AI and large language models, prompt engineering fundamentals, AI use cases across industries, and the foundations of responsible AI and AI governance, including the EU AI Act.

There are no mandatory prerequisites. CAIF is designed for professionals beginning their AI journey, with or without a technical background.

The CAIF course is delivered as a 1-day instructor-led training.

Yes. The CAIF certification exam is a 60-minute, closed-book, web-based assessment taken after completing the training.

Participants receive the official Digital Union Certified AI Foundation study guide and reference manual — an 86-page resource covering all 8 chapters and 24 topic modules of the CAIF curriculum.