What You'll Learn
Hunt rogue AI traffic and configure DLP policies to eliminate Shadow AI exposure
Write and defend a role-based Acceptable Use Policy for all organizational AI activity
Execute a red-team exercise and produce an attack-and-remediation report
Map AI systems to EU AI Act risk tiers and manage high-risk compliance obligations
Present a self-governing digital employee with verified architecture, economics, and compliance
Course Content
W1
Week 1: "Shadow AI" & Enterprise Policies
Eliminate the unmanaged AI exposure hiding inside your organization right now.
1
The Shadow AI Threat
Understanding the severe cyber exposure created by employees using unmanaged LLMs with company data outside approved channels.
2
Network Discovery
Hunting rogue AI traffic via network gateways and proxy logs to identify which unauthorized tools are actively in use.
3
Consent & DLP Configuration
Revoking high-risk OAuth scopes granted to AI tools and tuning data loss prevention rules to block sensitive data egress.
4
Acceptable Use Policies
Moving from vague AI guidelines to concrete, role-based data restrictions that specify exactly what each team may and may not do.
Weekly Win
AUP Drafting
Write and defend a comprehensive, actionable AI Acceptable Use Policy that governs all AI activity across the organization with role-specific rules.
W2
Week 2: Guardrails & Prompt Injection Defense
Understand every attack vector and build defenses that hold under adversarial conditions.
1
Evolving Attack Surfaces
Understanding probabilistic vulnerabilities unique to agentic systems, including indirect injection through retrieved content.
2
Prompt Injection & Jailbreaks
Analyzing methods bad actors use to manipulate model behavior through crafted inputs, system prompt overrides, and role-play exploits.
3
Evasion & Poisoning
Recognizing targeted attacks on RAG pipelines and internal training data designed to subtly corrupt model outputs over time.
4
Red-Teaming Tools
Utilizing automated adversarial testing platforms for scalable vulnerability scanning across dozens of attack categories.
Weekly Win
Red-Teaming Exercise
Execute a structured red-team attack against a deployed organizational bot, document every vulnerability found, and implement a remediation defense.
W3
Week 3: Compliance & The EU AI Act
Navigate the regulatory landscape and build systems that are audit-ready by design.
1
EU AI Act Introduction
Understanding the global legislative reach of the Act and the severe financial penalties — up to 7% of annual turnover — for non-compliance.
2
Risk Tier Classification
Mapping AI systems into Unacceptable, High, Limited, and Minimal risk categories based on use case, autonomy, and impact on people.
3
High-Risk Obligations
Managing the stringent documentation, logging, and human oversight requirements for AI tools used in HR and critical infrastructure.
4
Risk Management
Building continuous compliance pipelines with verifiable architectural tracing to satisfy ongoing regulatory monitoring requirements.
Weekly Win
Compliance Audit
Review a deployed multi-agent system against EU AI Act parameters and produce a written compliance report with remediation actions.
W4
Week 4: Capstone: The Self-Governing Digital Employee
Integrate every skill into one defensible, production-ready AI system.
1
Architecture Mapping
Designing the complete multi-agent logic flow — tools, data sources, handoffs, and fallback paths — before writing a single line of configuration.
2
Employee Prototyping
Building the core execution logic of the digital employee using advanced orchestration platforms with full observability enabled.
3
Guardrail Implementation
Integrating a Judge LLM for output quality control and deploying prompt injection defenses across every input surface.
4
Unit Economics
Calculating exact token costs, compute expenses, and human labor hours saved to produce a verified ROI statement for the system.
Weekly Win
Executive Presentation
Defend the architecture, economics, and compliance posture of your finalized self-governing digital employee before a panel of stakeholders.
Prerequisites
AI strategy knowledge
Business leadership experience
Tools You'll Use
📚
Intermediate Level
Course Price
₹6,999
India
$149
International · One-time payment
Next cohort starts Mar 30
Duration4 weeks
LevelIntermediate
FormatCohort-based
Modules4
What's included:
Live cohort sessions
Hands-on projects
Certificate of completion
Lifetime access
Career support
Part of Learning Track
⚙️
AI Operator
5 courses in track