Introduction
Introduction
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1. Foundations of Generative AI and Prompt Engineering
The convergence of GenAI and 5G
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Basics of generative AI
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Generative AI: Process and workflow
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Transformers in generative AI
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Overview of large language models (LLMs)
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Introduction to prompt engineering: "Programming language" for AI
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The anatomy of a good prompt: Role, context, task, and format
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First steps with an AI chatbot: OpenAI, Claude, and Gemini
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2. Foundations of 5G
Overview of 5G communication technology
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Objectives and vision of 5G networks
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Fundamentals of telecommunications infrastructure
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Key technologies enabling 5G
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Architecture of the 5G core network
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3. Core Principles and Advanced Techniques of Prompt Engineering
Zero-shot, one-shot, and few-shot prompting
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The art of role-playing and system personas
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Chain-of-thought (CoT) prompting for complex problem-solving
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Prompt chaining and decomposition: Breaking down large tasks
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Formatting outputs: JSON, tables, bullet points, and structured reports
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Techniques for precision: delimiters, conditional logic, and iterative refinement
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Lab: Crafting complex prompts for technical documentation analysis
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4. Prompt Engineering for Network KPIs Analysis in 5G
Understanding 5G network KPIs: What they measure and why they matter
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Introduction to 5G network data: KPI report sample report
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Using Google Colab and in-built Gemini 2.5 Flash for prompt engineering
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Lab: Exploring a sample 5G KPI report analysis using Google Colab
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5. Prompt Engineering for Operational Tasks
Configuration script generation and validation
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Converting technical requirements into design queries
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Automating documentation and report writing
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Simulating network scenarios for training
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6. Best Practices and the Future
Risks and limitations: Hallucinations, security, and data privacy in telecom
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The art of iteration: How to systematically improve your prompts
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Beyond chat: A glimpse into AI agents and autonomous network operations (ANOs)
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Building your prompt library and continuing the journey
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Ex_Files_Prompt_Engineering_5G.zip
(1.7 MB)