{ "id": "1", "title": "Personalized Learning Path for Natural Language Processing", "description": "This learning path is designed for beginners with no prior knowledge in Natural Language Processing (NLP) who prefer a visual learning style. The path aims to help learners achieve certification in NLP through a structured and visual approach.", "topic": "Natural Language Processing", "expertise_level": "beginner", "learning_style": "visual", "time_commitment": "moderate", "duration_weeks": 12, "goals": [ "Achieve Certification in Natural Language Processing" ], "milestones": [ { "title": "Introduction to NLP", "description": "Basic concepts and overview of Natural Language Processing", "estimated_hours": 10, "resources": [ { "type": "Image-based tutorials", "link": "example.com/nlp-intro", "style_score": 1 }, { "type": "Visual diagrams", "link": "example.com/nlp-diagrams", "style_score": 1 } ], "skills_gained": [ "Fundamental understanding of NLP" ] }, { "title": "Text Preprocessing Techniques", "description": "Learn about text cleaning, tokenization, and normalization", "estimated_hours": 15, "resources": [ { "type": "Visual guides on text preprocessing", "link": "example.com/text-preprocessing", "style_score": 1 }, { "type": "Interactive visual tools", "link": "example.com/text-preprocessing-tools", "style_score": 1 } ], "skills_gained": [ "Text preprocessing skills" ] }, { "title": "Sentiment Analysis", "description": "Understanding sentiment analysis and its applications in NLP", "estimated_hours": 20, "resources": [ { "type": "Interactive sentiment analysis tutorials", "link": "example.com/sentiment-analysis", "style_score": 1 }, { "type": "Visual sentiment analysis examples", "link": "example.com/sentiment-analysis-examples", "style_score": 1 } ], "skills_gained": [ "Sentiment analysis techniques" ] } ], "prerequisites": [ "Basic understanding of programming concepts" ], "total_hours": 45, "created_at": "2022-12-20" }