AWS Certified AI Practitioner (AIF-C01): Security, Compliance, and Governance for AI Solutions
Field | Description / Template |
|---|---|
Purpose | This course equips learners with the knowledge to secure AI systems and implement governance and compliance frameworks in AWS environments. It covers identity and access management, data security, risk mitigation, regulatory standards, and governance best practices for AI solutions. The course also prepares learners for the AWS Certified AI Practitioner (AIF-C01) exam with focused exam tips and reviews. |
Audience | Beginners, AI practitioners, developers, security professionals, business leaders, and AWS certification aspirants interested in secure and compliant AI systems. |
Role | AI Practitioner, Security Engineer, Cloud Engineer, Risk & Compliance Analyst, Data Engineer, Technical Consultant. |
Domain | AI/ML, Cloud Security, Governance, Risk & Compliance (GRC) |
Skill Level | Beginner |
Style | Conceptual and framework-driven learning with practical AWS examples, real-world security scenarios, and exam-focused preparation. |
Duration | 5–8 hours |
Related Technologies | AWS IAM, AWS KMS, Amazon S3, AWS CloudTrail, Amazon CloudWatch, AWS Config, AWS Artifact, AWS Audit Manager, AWS Security Hub |
Course Description
This course provides a comprehensive introduction to securing AI systems and implementing governance and compliance strategies within the AWS ecosystem. Learners will explore key security concepts such as IAM roles and policies, secure data engineering, and protection against AI-specific risks and threats.
The course also covers governance and compliance aspects, including regulatory standards, data governance strategies, and AWS tools for governance, risk, and compliance (GRC). Learners will understand how to design AI systems that are secure, auditable, and aligned with organizational and regulatory requirements.
With exam-focused reviews and practical insights, this course prepares learners to address security and governance challenges and succeed in the AWS Certified AI Practitioner (AIF-C01) exam.
Who is this course for
Beginners interested in AI security and governance
Developers and engineers building AI systems on AWS
Security and compliance professionals
AWS certification aspirants (AI Practitioner)
Professionals responsible for risk, compliance, and data governance
Course Objectives
By the end of this course, learners will be able to:
Implement secure access control using IAM roles and policies
Identify and mitigate security risks in AI systems
Apply secure data engineering practices for AI workloads
Understand regulatory compliance requirements for AI systems
Use AWS services to support governance, risk, and compliance (GRC)
Design and implement data governance strategies
Apply governance frameworks and protocols in AI solutions
Monitor and audit AI systems for security and compliance
Prepare effectively for the AWS Certified AI Practitioner (AIF-C01) exam
Prerequisites
Basic understanding of cloud computing concepts
Familiarity with AI/ML fundamentals (helpful but not required)
No prior experience in security or compliance required
Interest in building secure and trustworthy AI systems
Course outline
Section 1: Securing AI Systems
IAM Roles and Policies
Services and Features for Securing AI Systems
Data History
Secure Data Engineering
AI System Security Risks and Threats
Application and Infrastructure Security for AI Systems
Exam Tips
Section 2: Governance and Compliance for AI Systems
Regulatory Compliance Standards for AI Systems
AWS Services for GRC
AWS Dashboard Features for AI Security
Data Governance Strategies
Governance Protocols
Governance Frameworks
Exam Tips
Section 3: Exam Questions Review
Exam Questions Review