json files

app/utils/formatted_catalog.json

@@ -0,0 +1,609 @@
+[
+  {
+    "page_content": "Title: Python Programming Fundamentals. Description: Core Python programming covering data types, control flow, functions, OOP basics, and file handling.. Outcomes: Write clean Python functions and classes, Understand list, dict, and set operations, Handle exceptions and file I/O",
+    "metadata": {
+      "course_id": "CS-PY-101",
+      "category": "Programming",
+      "level": "beginner",
+      "prerequisites": [],
+      "duration": 6,
+      "tags": [
+        "Python",
+        "Programming",
+        "OOP"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: Advanced Python \u00e2\u20ac\u201d Async, Decorators & Design Patterns. Description: Deep dive into Python internals \u00e2\u20ac\u201d asyncio, context managers, metaclasses, and common software design patterns.. Outcomes: Write async/await coroutines, Build custom decorators and context managers, Apply Factory, Singleton, and Observer patterns",
+    "metadata": {
+      "course_id": "CS-PY-201",
+      "category": "Programming",
+      "level": "intermediate",
+      "prerequisites": [
+        "CS-PY-101"
+      ],
+      "duration": 8,
+      "tags": [
+        "Python",
+        "Async",
+        "Design Patterns"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: SQL Fundamentals for Backend Developers. Description: Foundational course covering relational database concepts, CRUD operations, and basic JOINs using SQLite and PostgreSQL.. Outcomes: Write basic SELECT queries with filters, Understand Primary and Foreign Keys, Perform data insertion, updates, and deletions",
+    "metadata": {
+      "course_id": "CS-DB-101",
+      "category": "Database",
+      "level": "beginner",
+      "prerequisites": [],
+      "duration": 4,
+      "tags": [
+        "SQL",
+        "PostgreSQL",
+        "Database",
+        "Backend"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: Advanced SQL \u00e2\u20ac\u201d Indexing, Transactions & Query Optimization. Description: Covers advanced SQL techniques including window functions, CTEs, query execution plans, and transaction management.. Outcomes: Use window functions and CTEs, Analyze and optimize slow queries with EXPLAIN, Manage ACID transactions and deadlock prevention",
+    "metadata": {
+      "course_id": "CS-DB-201",
+      "category": "Database",
+      "level": "intermediate",
+      "prerequisites": [
+        "CS-DB-101"
+      ],
+      "duration": 7,
+      "tags": [
+        "SQL",
+        "PostgreSQL",
+        "Indexing",
+        "Performance"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: NoSQL Databases \u00e2\u20ac\u201d MongoDB & Redis. Description: Introduction to document and key-value stores, covering MongoDB aggregation pipelines and Redis caching strategies.. Outcomes: Design document schemas in MongoDB, Build aggregation pipelines, Implement caching with Redis TTL strategies",
+    "metadata": {
+      "course_id": "CS-DB-301",
+      "category": "Database",
+      "level": "intermediate",
+      "prerequisites": [
+        "CS-DB-101"
+      ],
+      "duration": 6,
+      "tags": [
+        "MongoDB",
+        "Redis",
+        "NoSQL",
+        "Caching"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: REST API Development with FastAPI. Description: Build production-ready REST APIs using FastAPI, covering routing, request validation with Pydantic, and basic authentication.. Outcomes: Create REST endpoints with path and query params, Validate request/response with Pydantic models, Implement JWT-based authentication",
+    "metadata": {
+      "course_id": "CS-FAST-101",
+      "category": "Backend",
+      "level": "beginner",
+      "prerequisites": [
+        "CS-PY-101"
+      ],
+      "duration": 6,
+      "tags": [
+        "FastAPI",
+        "Python",
+        "REST API",
+        "Pydantic"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: Advanced API Design with FastAPI. Description: Deep dive into asynchronous programming, dependency injection, background tasks, and building secure RESTful services.. Outcomes: Implement OAuth2 authentication flows, Build async database endpoints with SQLAlchemy, Use dependency injection and middleware patterns",
+    "metadata": {
+      "course_id": "CS-FAST-201",
+      "category": "Backend",
+      "level": "intermediate",
+      "prerequisites": [
+        "CS-PY-101",
+        "CS-DB-101",
+        "CS-FAST-101"
+      ],
+      "duration": 8,
+      "tags": [
+        "FastAPI",
+        "Python",
+        "API",
+        "Async",
+        "OAuth2"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: HTML, CSS & JavaScript Fundamentals. Description: Core web development foundations covering semantic HTML5, CSS Flexbox/Grid, and vanilla JavaScript DOM manipulation.. Outcomes: Build responsive layouts with Flexbox and Grid, Manipulate the DOM with vanilla JavaScript, Handle browser events and form validation",
+    "metadata": {
+      "course_id": "CS-WEB-101",
+      "category": "Web Development",
+      "level": "beginner",
+      "prerequisites": [],
+      "duration": 8,
+      "tags": [
+        "HTML",
+        "CSS",
+        "JavaScript",
+        "Frontend"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: React.js \u00e2\u20ac\u201d Component Architecture & State Management. Description: Build dynamic single-page applications with React, covering hooks, context API, and integration with REST APIs.. Outcomes: Build reusable components with props and hooks, Manage global state with Context API and Redux, Fetch and display data from REST APIs",
+    "metadata": {
+      "course_id": "CS-WEB-201",
+      "category": "Web Development",
+      "level": "intermediate",
+      "prerequisites": [
+        "CS-WEB-101"
+      ],
+      "duration": 10,
+      "tags": [
+        "React",
+        "JavaScript",
+        "Frontend",
+        "SPA",
+        "Hooks"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: Full Stack Development with Next.js. Description: Production-grade full stack apps with Next.js covering SSR, SSG, API routes, and deployment on Vercel.. Outcomes: Implement SSR and SSG rendering strategies, Build API routes and middleware in Next.js, Deploy and optimize full stack apps on Vercel",
+    "metadata": {
+      "course_id": "CS-WEB-301",
+      "category": "Web Development",
+      "level": "advanced",
+      "prerequisites": [
+        "CS-WEB-201",
+        "CS-FAST-101"
+      ],
+      "duration": 12,
+      "tags": [
+        "Next.js",
+        "React",
+        "Full Stack",
+        "SSR",
+        "Vercel"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: Docker & Containerization Fundamentals. Description: Learn containerization fundamentals \u00e2\u20ac\u201d writing Dockerfiles, managing images, volumes, and running multi-container apps with Docker Compose.. Outcomes: Write efficient multi-stage Dockerfiles, Manage container lifecycle and networking, Orchestrate multi-service apps with Docker Compose",
+    "metadata": {
+      "course_id": "CS-DOCKER-101",
+      "category": "DevOps",
+      "level": "beginner",
+      "prerequisites": [],
+      "duration": 5,
+      "tags": [
+        "Docker",
+        "Containers",
+        "DevOps",
+        "Docker Compose"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: CI/CD Pipelines with GitHub Actions. Description: Build automated build, test, and deployment pipelines using GitHub Actions, with Docker integration and environment secrets management.. Outcomes: Create GitHub Actions workflows for CI/CD, Automate Docker image builds and pushes, Manage secrets and environment variables securely",
+    "metadata": {
+      "course_id": "CS-CICD-201",
+      "category": "DevOps",
+      "level": "intermediate",
+      "prerequisites": [
+        "CS-DOCKER-101"
+      ],
+      "duration": 6,
+      "tags": [
+        "CI/CD",
+        "GitHub Actions",
+        "DevOps",
+        "Automation"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: Kubernetes \u00e2\u20ac\u201d Container Orchestration at Scale. Description: Deploy, scale, and manage containerized applications with Kubernetes covering pods, deployments, services, ingress, and Helm charts.. Outcomes: Deploy applications using Deployments and StatefulSets, Configure Services, Ingress, and ConfigMaps, Manage releases with Helm charts",
+    "metadata": {
+      "course_id": "CS-K8S-301",
+      "category": "DevOps",
+      "level": "advanced",
+      "prerequisites": [
+        "CS-DOCKER-101",
+        "CS-CICD-201"
+      ],
+      "duration": 14,
+      "tags": [
+        "Kubernetes",
+        "K8s",
+        "DevOps",
+        "Helm",
+        "Scaling"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: Machine Learning Fundamentals. Description: Core ML concepts covering supervised and unsupervised learning, model evaluation, and scikit-learn workflows.. Outcomes: Train and evaluate classification and regression models, Apply cross-validation and hyperparameter tuning, Preprocess and engineer features from raw data",
+    "metadata": {
+      "course_id": "CS-ML-101",
+      "category": "Machine Learning",
+      "level": "beginner",
+      "prerequisites": [
+        "CS-PY-101"
+      ],
+      "duration": 8,
+      "tags": [
+        "Machine Learning",
+        "scikit-learn",
+        "Python",
+        "Supervised Learning"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: Deep Learning with PyTorch. Description: Build and train neural networks using PyTorch covering CNNs, RNNs, training loops, and GPU acceleration.. Outcomes: Build custom neural networks with nn.Module, Train CNNs on image classification tasks, Optimize models with learning rate schedulers",
+    "metadata": {
+      "course_id": "CS-DL-201",
+      "category": "Machine Learning",
+      "level": "intermediate",
+      "prerequisites": [
+        "CS-ML-101"
+      ],
+      "duration": 12,
+      "tags": [
+        "PyTorch",
+        "Deep Learning",
+        "CNN",
+        "GPU",
+        "Neural Networks"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: LLM Application Development with LangChain. Description: Build LLM-powered applications using LangChain covering chains, agents, memory, and tool use.. Outcomes: Build multi-step chains with LangChain, Create tool-using agents with LangGraph, Add memory and conversation history to LLM apps",
+    "metadata": {
+      "course_id": "CS-LLM-201",
+      "category": "AI Engineering",
+      "level": "intermediate",
+      "prerequisites": [
+        "CS-PY-201"
+      ],
+      "duration": 8,
+      "tags": [
+        "LangChain",
+        "LLM",
+        "Agents",
+        "AI",
+        "LangGraph"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: RAG Pipeline Design & Vector Databases. Description: Design production RAG systems covering embedding models, vector stores, chunking strategies, and retrieval optimization.. Outcomes: Build end-to-end RAG pipelines with Pinecone, Apply hybrid search \u00e2\u20ac\u201d dense + sparse retrieval, Evaluate RAG quality with precision and recall metrics",
+    "metadata": {
+      "course_id": "CS-RAG-201",
+      "category": "AI Engineering",
+      "level": "intermediate",
+      "prerequisites": [
+        "CS-LLM-201"
+      ],
+      "duration": 10,
+      "tags": [
+        "RAG",
+        "Pinecone",
+        "Embeddings",
+        "Vector DB",
+        "LangChain"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: LLM Fine-Tuning with LoRA & PEFT. Description: Fine-tune large language models efficiently using LoRA, QLoRA, and PEFT techniques on custom datasets.. Outcomes: Prepare and format instruction-tuning datasets, Fine-tune LLMs using LoRA with Hugging Face, Evaluate fine-tuned models with ROUGE and perplexity",
+    "metadata": {
+      "course_id": "CS-FINETUNE-301",
+      "category": "AI Engineering",
+      "level": "advanced",
+      "prerequisites": [
+        "CS-DL-201",
+        "CS-LLM-201"
+      ],
+      "duration": 14,
+      "tags": [
+        "Fine-Tuning",
+        "LoRA",
+        "PEFT",
+        "Hugging Face",
+        "LLM"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: Cybersecurity Fundamentals. Description: Introduction to cybersecurity principles covering the CIA triad, common attack vectors, and basic defense strategies.. Outcomes: Understand confidentiality, integrity, and availability, Identify common threats \u00e2\u20ac\u201d phishing, MITM, DoS, Apply basic security hygiene and password policies",
+    "metadata": {
+      "course_id": "CS-SEC-101",
+      "category": "Cybersecurity",
+      "level": "beginner",
+      "prerequisites": [],
+      "duration": 5,
+      "tags": [
+        "Cybersecurity",
+        "Security",
+        "CIA Triad",
+        "Threats"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: Web Application Security & OWASP Top 10. Description: Covers the OWASP Top 10 vulnerabilities including SQL injection, XSS, CSRF, and broken authentication with hands-on exploitation and mitigation.. Outcomes: Exploit and patch SQL injection vulnerabilities, Prevent XSS and CSRF attacks in web apps, Implement secure authentication and session management",
+    "metadata": {
+      "course_id": "CS-SEC-201",
+      "category": "Cybersecurity",
+      "level": "intermediate",
+      "prerequisites": [
+        "CS-SEC-101",
+        "CS-WEB-101"
+      ],
+      "duration": 10,
+      "tags": [
+        "OWASP",
+        "Web Security",
+        "XSS",
+        "SQL Injection",
+        "CSRF"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: Penetration Testing & Ethical Hacking. Description: Hands-on penetration testing methodology covering reconnaissance, exploitation, privilege escalation, and reporting using Kali Linux tools.. Outcomes: Conduct network reconnaissance with Nmap and Shodan, Exploit vulnerabilities using Metasploit Framework, Write professional penetration testing reports",
+    "metadata": {
+      "course_id": "CS-SEC-301",
+      "category": "Cybersecurity",
+      "level": "advanced",
+      "prerequisites": [
+        "CS-SEC-201"
+      ],
+      "duration": 16,
+      "tags": [
+        "Penetration Testing",
+        "Ethical Hacking",
+        "Kali Linux",
+        "Metasploit"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: Network Security & Cryptography. Description: Deep dive into network security protocols, cryptographic algorithms, PKI infrastructure, and secure communication design.. Outcomes: Implement symmetric and asymmetric encryption, Configure TLS/SSL certificates and PKI chains, Analyze network traffic for anomalies with Wireshark",
+    "metadata": {
+      "course_id": "CS-SEC-401",
+      "category": "Cybersecurity",
+      "level": "advanced",
+      "prerequisites": [
+        "CS-SEC-201"
+      ],
+      "duration": 12,
+      "tags": [
+        "Cryptography",
+        "TLS",
+        "PKI",
+        "Network Security",
+        "Wireshark"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: AWS Cloud Fundamentals. Description: Introduction to AWS core services \u00e2\u20ac\u201d EC2, S3, RDS, IAM, Lambda \u00e2\u20ac\u201d and cloud architecture best practices.. Outcomes: Deploy and configure EC2 instances, Manage storage with S3 and IAM policies, Build serverless functions with AWS Lambda",
+    "metadata": {
+      "course_id": "CS-CLOUD-201",
+      "category": "Cloud",
+      "level": "beginner",
+      "prerequisites": [],
+      "duration": 8,
+      "tags": [
+        "AWS",
+        "Cloud",
+        "EC2",
+        "S3",
+        "Lambda",
+        "IAM"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: Cloud Architecture & Microservices on AWS. Description: Design scalable cloud-native architectures on AWS using microservices, API Gateway, SQS, and infrastructure as code with Terraform.. Outcomes: Design event-driven microservices with SQS and SNS, Build and deploy APIs with API Gateway, Provision infrastructure using Terraform",
+    "metadata": {
+      "course_id": "CS-CLOUD-301",
+      "category": "Cloud",
+      "level": "advanced",
+      "prerequisites": [
+        "CS-CLOUD-201",
+        "CS-DOCKER-101"
+      ],
+      "duration": 14,
+      "tags": [
+        "AWS",
+        "Microservices",
+        "Terraform",
+        "IaC",
+        "API Gateway"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: System Design for Engineers. Description: Covers scalable system design principles including load balancing, caching, database sharding, CAP theorem, and designing real-world systems.. Outcomes: Design systems for horizontal and vertical scaling, Apply caching strategies with Redis and CDN, Architect URL shorteners, chat systems, and feed algorithms",
+    "metadata": {
+      "course_id": "CS-SYSDESIGN-301",
+      "category": "System Design",
+      "level": "advanced",
+      "prerequisites": [
+        "CS-DB-201",
+        "CS-CLOUD-201"
+      ],
+      "duration": 12,
+      "tags": [
+        "System Design",
+        "Scalability",
+        "Caching",
+        "Load Balancing",
+        "CAP Theorem"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: Software Testing & Test-Driven Development. Description: Unit testing, integration testing, and TDD practices in Python using pytest, mock, and coverage tools.. Outcomes: Write unit tests with pytest and mock dependencies, Apply TDD red-green-refactor cycle, Measure and improve code coverage",
+    "metadata": {
+      "course_id": "CS-TEST-201",
+      "category": "Software Engineering",
+      "level": "intermediate",
+      "prerequisites": [
+        "CS-PY-101"
+      ],
+      "duration": 6,
+      "tags": [
+        "Testing",
+        "pytest",
+        "TDD",
+        "Unit Testing",
+        "Python"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: Git & Version Control for Teams. Description: Practical Git workflows for teams covering branching strategies, merge conflicts, rebasing, and pull request best practices.. Outcomes: Apply Git Flow and trunk-based development, Resolve merge conflicts confidently, Write meaningful commit messages and PRs",
+    "metadata": {
+      "course_id": "CS-GIT-101",
+      "category": "Software Engineering",
+      "level": "beginner",
+      "prerequisites": [],
+      "duration": 3,
+      "tags": [
+        "Git",
+        "Version Control",
+        "GitHub",
+        "Collaboration"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: Data Structures & Algorithms. Description: Core DSA covering arrays, linked lists, stacks, queues, trees, graphs, sorting, and searching algorithms.. Outcomes: Implement linked lists, stacks, queues from scratch, Traverse trees and graphs with BFS and DFS, Analyze time and space complexity with Big-O",
+    "metadata": {
+      "course_id": "CS-DS-101",
+      "category": "Computer Science",
+      "level": "beginner",
+      "prerequisites": [
+        "CS-PY-101"
+      ],
+      "duration": 10,
+      "tags": [
+        "DSA",
+        "Algorithms",
+        "Data Structures",
+        "Big-O"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: MLOps \u00e2\u20ac\u201d Model Deployment & Monitoring. Description: End-to-end MLOps pipeline covering model versioning with MLflow, serving with FastAPI, containerization, and drift monitoring.. Outcomes: Track experiments and version models with MLflow, Serve ML models via FastAPI and Docker, Monitor model drift and set up retraining triggers",
+    "metadata": {
+      "course_id": "CS-MLOPS-301",
+      "category": "AI Engineering",
+      "level": "advanced",
+      "prerequisites": [
+        "CS-ML-101",
+        "CS-DOCKER-101",
+        "CS-FAST-101"
+      ],
+      "duration": 12,
+      "tags": [
+        "MLOps",
+        "MLflow",
+        "Model Serving",
+        "Docker",
+        "Monitoring"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: NLP with Hugging Face Transformers. Description: Applied NLP using Hugging Face covering tokenization, fine-tuning BERT-class models, text classification, and NER.. Outcomes: Tokenize and preprocess text with Hugging Face, Fine-tune BERT for classification and NER tasks, Evaluate NLP models with F1, precision, and recall",
+    "metadata": {
+      "course_id": "CS-NLP-201",
+      "category": "Machine Learning",
+      "level": "intermediate",
+      "prerequisites": [
+        "CS-DL-201"
+      ],
+      "duration": 10,
+      "tags": [
+        "NLP",
+        "Hugging Face",
+        "BERT",
+        "Transformers",
+        "Text Classification"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: API Security \u00e2\u20ac\u201d JWT, OAuth2 & Rate Limiting. Description: Securing APIs with JWT tokens, OAuth2 flows, API key management, rate limiting, and common API attack prevention.. Outcomes: Implement OAuth2 authorization code and client credentials flows, Secure APIs against token hijacking and replay attacks, Apply rate limiting and throttling strategies",
+    "metadata": {
+      "course_id": "CS-WEBSEC-401",
+      "category": "Cybersecurity",
+      "level": "advanced",
+      "prerequisites": [
+        "CS-SEC-201",
+        "CS-FAST-101"
+      ],
+      "duration": 8,
+      "tags": [
+        "API Security",
+        "JWT",
+        "OAuth2",
+        "Rate Limiting",
+        "Backend Security"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: Linux & Shell Scripting for Developers. Description: Practical Linux skills for developers covering file system navigation, permissions, process management, and bash scripting.. Outcomes: Navigate and manage the Linux file system, Write bash scripts for automation, Manage processes, cron jobs, and system services",
+    "metadata": {
+      "course_id": "CS-LINUX-101",
+      "category": "DevOps",
+      "level": "beginner",
+      "prerequisites": [],
+      "duration": 5,
+      "tags": [
+        "Linux",
+        "Bash",
+        "Shell Scripting",
+        "DevOps",
+        "CLI"
+      ]
+    }
+  },
+  {
+    "page_content": "Title: Vector Databases & Semantic Search. Description: Covers embedding generation, vector indexing with Pinecone and Weaviate, ANN search, and building semantic search applications.. Outcomes: Generate and store embeddings with OpenAI and SentenceTransformers, Build semantic search with Pinecone and Weaviate, Compare ANN algorithms \u00e2\u20ac\u201d HNSW vs IVF",
+    "metadata": {
+      "course_id": "CS-VEC-101",
+      "category": "AI Engineering",
+      "level": "intermediate",
+      "prerequisites": [
+        "CS-ML-101"
+      ],
+      "duration": 7,
+      "tags": [
+        "Vector DB",
+        "Pinecone",
+        "Weaviate",
+        "Semantic Search",
+        "Embeddings"
+      ]
+    }
+  }
+]