About This Course
Al is now embedded in products, operations, and decision-making across industries. As organizations adopt large language models and autonomous agents, the need for safety, security, risk management, and governance becomes mission-critical to prevent harm, protect data, and build trust.
Welcome to the "2 Days Al Safety, Security, Risk Management, and Governance" program — a practical learning journey for developers, architects, risk professionals, compliance teams, and decision-makers who want to deploy Al responsibly.
Across 10 applied modules, participants will learn how to identify Al risks, secure agentic systems, interpret regulations, apply global frameworks, and design controls that are practical for real-world implementation.
This course emphasizes activity-based learning: participants will assess use cases, map risks to controls, analyze threats, compare standards, and produce a complete governance plan with deployment recommendations.
"As Al capabilities advance, safety and governance must advance just as quickly." - Adapted from global Al policy guidance
Learning Objectives
At the end of attending this class, participants should be able to:
- Understand core LLM concepts and how safety, security, and governance differ yet work together.
- Identify and assess Al risks using practical criteria including harm, data sensitivity, autonomy, and business impact.
- Apply Al security practices to mitigate prompt injection, data leakage, tool abuse, and agent misuse.
- Interpret key regulations and frameworks including EU AI Act, NIST AI RMF, ISO/IEC 42001, and regional governance guidance.
- Build governance artifacts such as risk assessments, control matrices, audit cards, and monitoring plans.
- Create a 90-day implementation roadmap to operationalize Al safety and compliance in an organization.
Prerequisites
Participants should have:
- Basic understanding of AI/LLMs and common enterprise Al use cases.
- Familiarity with software or business process workflows (technical coding skill is helpful but not mandatory).
- Interest in Al risk, security, compliance, and governance implementation.
Target Audience
- Developers & software engineers integrating LLMs or Al agents into internal and customer-facing applications.
- Security, risk, and compliance professionals responsible for Al controls, assurance, and regulatory readiness.
- Product managers, business owners, and operational leads governing Al-enabled workflows and decisions.
- Auditors, legal, and policy stakeholders involved in Al governance, transparency, and accountability.
- Technology leaders and practitioners building trustworthy, enterprise-grade Al adoption programs.
Training Outline
- LLM Fundamental
- Introduction to Al Safety
- Building Trustworthy AI Systems
- Al Security
- Regulation of Al
- Al Risk Frameworks and Standards
- Threat Management for Al Systems
- Core Tool Stack for Al Compliance
- Practical Al Risk Assessment and Governance Plan
- Al Safety Implementation Roadmap