Introduction
Introduction to AI in telecom
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What you should know
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1. AI Fundamentals and Telecom Integration
AI introduction for telecom
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AI and network automation
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AI in predictive maintenance
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AI and data analytics
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Challenge: Flow-based anomaly detection
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Solution: Flow-based anomaly detection
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2. AI Use Cases and Domains in Telecom
AI domains in telecom
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AI for RAN
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AI for core networks
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AI for business support and operations
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AI for telecom security
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Exercise: AI model for anomaly detection
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3. Designing and Deploying AI Architectures
Lifecycle of an AI-driven architecture
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AI stack design
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Developing and testing an AI solution
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Operations phase in AI lifecycle
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AI security and governance
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Exercise: Self-healing network in 5G
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4. Practical Implementation of AI
Telecom AI maturity model
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AI architecture for telecom
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Building a RAG-based LLM
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Where to start with AI: Reference architecture
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Risks and ethical considerations for AI
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Exercise: Telecom LLM using RAG architecture for RCA
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