Comprehensive AI Curriculum

Learn the foundations of AI, machine learning, deep learning, and generative AI without any coding or math background.

Ethical AI Practices

Understand ethical principles, data stewardship, and privacy basics to navigate the AI landscape responsibly.

Global AI Governance

Explore global AI governance frameworks like NIST AI RMF, EU AI Act, and ISO 42001 for a well-rounded understanding.

About the Course

The Certified AI Fundamentals (CAIF) program by the AI Certification Council (AICC) is designed for learners seeking a comprehensive understanding of artificial intelligence concepts, frameworks, and real-world applications. This course provides the essential foundation to navigate today’s AI-driven world with confidence — covering machine learning, data ethics, governance, and risk management through a practical, industry-aligned approach. By completing CAIF, you will: - Understand the core principles of AI, ML, and data systems - Explore global frameworks such as NIST AI RMF and ISO/IEC 42001 - Learn how to identify AI risks, ethical challenges, and compliance           requirements - Build the foundation for advanced certifications like CAISP and             CAIGA Whether you’re a student, professional, or organizational leader, CAIF equips you with the knowledge to make informed, responsible decisions about AI technologies. CAIF. Where your journey into intelligence begins.

Course Curriculum

11 Chapters · 101 Lessons

    1. (Included in full purchase)

      Welcome to AICC × Linuxademy

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      Your Digital Textbook

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      Support & Contact

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      Stay in the Loop 📬

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      Help Us Grow 🧡

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      Introduction

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      Module 1 Introduction

    2. 1.1 - What is AI? Free preview
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      1.1 Quiz

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      1.2 Training vs Inference

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      1.2 Quiz

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      1.3 Learning Paradigms

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      1.3 Quiz

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      1.4 Neural Networks at a Glance

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      1.4 Quiz

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      1.5 LLMs & Embeddings

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      1.5 Quiz

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      1.6 - Model Evaluation Metrics

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      1.6 Quiz

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      1.7 - Common AI Applications & Limitations

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      1.7 Quiz

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      Module 1 Summary

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      End of Module 1 Quiz

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      Module 2 Intro

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      2.1 - Data Lifecycle: Collection to Deletion

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      2.1 Quiz

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      2.2 - Labeling and Data Quality

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      2.2 Quiz

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      2.3 - Sources of bias & fairness basics

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      2.3 Quiz

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      2.4 - Detecting & Mitigating Bias

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      2.4 Quiz

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      2.5 - Privacy Basics: PII, Anonymization, DPIA

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      2.5 Quiz

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      2.6 - Intro to Differential Privacy & Synthetic Data

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      2.6 Quiz

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      2.7 - Data Governance & Lineage

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      2.7 Quiz

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      Module 2 Conclusion

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      End of Module 2 Quiz

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      Module 3 Introduction

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      3.1 - AI Lifecycle Overview

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      3.1 Quiz

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      3.2 - Model Registry & Artifact Management

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      3.2 Quiz

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      3.3 - Deployment Patterns

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      3.3 Quiz

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      3.4 - APIs and Inference Gateways

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      3.4 Quiz

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      3.5 - Cloud AI Platforms

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      3.5 - Quiz

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      3.6 - Monitoring & Observability

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      3.6 Quiz

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      3.7 - Documentation: Model Cards & Factsheets

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      3.7 Quiz

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      Module 3 Ending

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      End of Module 3 Quiz

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      Module 4 Introduction

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      4.1 - AI Threat Overview

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      4.1 Quiz

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      4.2 - Adversarial Examples

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      4.2 Quiz

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      4.3 - Data Poisoning & Integrity Attacks

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      4.3 Quiz

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      4.4 - Model Privacy Risks

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      4.4 Quiz

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      4.5 - Secrets, Keys & Credential Hygiene

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      4.5 Quiz

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      4.6 - Operational Security Controls

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      4.6 Quiz

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      4.7 - Monitoring for Security Incidents

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      4.7 Quiz

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      Module 4 Ending

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      End of Module 4 Quiz

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      Module 5 - Governance, Regulation & Professional Practice

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      5.1 - Governance: Roles & Responsibilities

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      5.1 Quiz

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      5.2 - NIST AI RMF & Framework Mapping

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      5.2 Quiz

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      5.3 - EU AI Act & Global Regulation Trends

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      5.3 Quiz

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      5.4 - Model Documentation & Audit Evidence

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      5.4 Quiz

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      5.5 - Ethics & Responsible AI

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      5.5 Quiz

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      5.6 - Careers & Next Steps

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      5.6 Quiz

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      End of Module 5

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      End of Module 5 Quiz

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      End of Course

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      Course Evaluation

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      AI System Identification Scenario

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      AI Asset Registration Scenario

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      AI System Identification Scenario

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      Intended Use & Limitations Scenario

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      Basic Model Card Scenario

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      Risk Tier Classification Scenario

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      Final Exam

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      Thank You & What’s Next

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      Help Us Make Learning Better

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      Help Us Grow 🧡

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