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This is the Part 1 of series for "AI in Telecom" AI in telecom is not about coding, Python, or building models from scratch. In real networks, AI works through intelligence layers that sit on top of the RAN and automate decisions using real network data. This video explains where AI actually lives in modern that is O-RAN telecom systems and what mid-career network engineers are expected to understand to succeed in career. In this part, explained AI using real O-RAN architecture, Non-RT RIC, Near-RT RIC, rApps and xApps. What you will learn in this video: Where AI sits in O-RAN architecture What Non-RT RIC does in real networks and what Near-RT RIC is responsible for Functions of rApps and xApps like analysing long-term data, generate intelligence to be used for implementations in real time live networks Non-RT RIC vs Near-RT RIC (clear role separation) Who this video is for RAN / RF / Optimization engineers Network operations & performance teams Telecom professionals confused by AI buzzwords Engineers preparing for AI-driven & autonomous networks Anyone who wants real AI clarity without coding This is the Part 1 of series "AI in Telecom" on "How AI actually works". Next videos in line to complete the real AI skill set: AI in Telecom (Part 2) - Judging Output by Model KPIs (No Coding) AI in Telecom (Part 3) - Lead with MLOps (No Coding) Resources for deeper architecture learning: Official O-RAN and industry references are shared in this video for those who want to explore full architecture details beyond this practical explanation. Playlist for foundational concepts - "Start Here - Telecom Career Clarity" • Start Here - Telecom Career Clarity #RF #telecom #5g #6g #AI #RIC #rApps #xApps #career #layoffs