Level 3: Professional

This level covers enterprise AI integration, security, fine-tuning, multi-agent systems, and AI operations. By the end, you'll be able to architect and lead enterprise AI solutions.

🏢 3.01 – AI Strategy for Companies

ROI assessment, use case identification, roadmap planning, and organizational change management.

⏱️ 90 min read | 🎯 L3 | 📊 Strategy

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🔒 3.02 – Security & Compliance

PII handling, data privacy, GDPR/SOC2 compliance, guardrails, red-teaming, and prompt injection prevention.

⏱️ 120 min read | 🎯 L3 | 🔐 Security

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🔄 3.03 – Multi-Agent Systems

Agent architectures, collaboration patterns, supervisor agents, swarm intelligence, and practical implementations.

⏱️ 100 min read | 🎯 L3 | 🤖 Advanced

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🎓 3.04 – Fine-Tuning & Custom Models

When to fine-tune, data preparation, LoRA/QLoRA, parameter-efficient fine-tuning, and deployment.

⏱️ 110 min read | 🎯 L3 | 🧠 Advanced

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📈 3.05 – AI Operations (AIOps)

Monitoring, cost management, versioning, A/B testing, incident response, and MLOps for LLMs.

⏱️ 90 min read | 🎯 L3 | ⚙️ DevOps

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🎯 Level 3 Completion Criteria

✅ Develop an enterprise AI strategy with ROI analysis
✅ Implement security guardrails and compliance controls
✅ Design and deploy multi-agent systems
✅ Fine-tune models for specific domains
✅ Operate AI systems in production with monitoring and cost controls

📙 Level 3: Professional

🏢 3.01 – AI Strategy for Companies

🔒 3.02 – Security & Compliance

🔄 3.03 – Multi-Agent Systems

🎓 3.04 – Fine-Tuning & Custom Models

📈 3.05 – AI Operations (AIOps)

🎯 Level 3 Completion Criteria