Bài 1.2: Giới Thiệu Django Advanced - Phần 2 - Roadmap 100 Bài Học

**Series Navigation:** - [Bài 1.1: Tổng Quan và Prerequisites](/django-advance/introduction-django-advanced-phan-1) - **Bài 1.2 (bài này): Roadmap 100 Bài Học** 👈 - [Bài 1.3: Environment Setup và Learning Methods](/django-advance/introduction-django-advanced-phan-3) - [Bài 1.4: Career Path, Resources, Community](/django-advance/introduction-django-advanced-phan-1)

Mục Tiêu Bài 1.2

Sau khi hoàn thành Bài 1.2 này, bạn sẽ:

• ✅ Nắm được roadmap hoàn chỉnh 100 bài học
• ✅ Hiểu rõ nội dung từng module và project
• ✅ Xác định được learning path phù hợp
• ✅ Lên kế hoạch học tập cụ thể

Tổng Quan Roadmap

Django Advanced gồm 2 phases chính:

Phase 1: Core Advanced Concepts (Bài 1-26)

• Duration: 2-3 tháng (full-time) hoặc 4-6 tháng (part-time)
• Focus: Kiến thức nền tảng advanced
• Format: Theory + practice exercises
• Outcome: Nắm vững advanced techniques

Phase 2: Real-World Projects (Bài 27-100)

• Duration: 4-6 tháng (full-time) hoặc 8-12 tháng (part-time)
• Focus: 10 master-level projects
• Format: Project-based learning
• Outcome: Production-ready experience

Phase 1: Core Advanced Concepts (Bài 1-26)

Module 1: Foundation (Bài 1-3)

Bài 1: Giới Thiệu Django Advanced (4 phần)

Duration: 2-3 giờ

Nội dung:

• Bài 1.1: Tổng quan và Prerequisites
• Bài 1.2: Roadmap 100 bài (bài này)
• Bài 1.3: Environment Setup
• Bài 1.4: Career Path và Resources

Exercises:

• Part 4: Career Path và Community

Learning Outcomes:

• Hiểu rõ mục tiêu và structure của course
• Self-assessment và goal setting
• Chuẩn bị môi trường development

Bài 2: Advanced Model Fields và Custom Fields

Duration: 4-5 giờ

Nội dung:

• Advanced field types: JSONField, ArrayField, HStoreField
• Custom model fields creation
• Field validators và custom validators
• Computed fields và cached properties
• Model Mixins và Abstract Models
• Model Managers và Custom QuerySets
• Signals: pre_save, post_save, pre_delete, post_delete

Practical Exercises:

• Tạo custom EmailField với domain validation
• Implement TagsField với ArrayField
• Build MoneyField với currency support
• Create AuditMixin cho tracking changes

Learning Outcomes:

• Extend Django models beyond basics
• Create reusable model components
• Implement complex business logic trong models

Bài 3: Advanced QuerySets và Database Optimization

Duration: 5-6 giờ

Nội dung:

• QuerySet evaluation và lazy loading
• select_related() vs prefetch_related()
• N+1 query problem: detection và solutions
• Aggregation và Annotation
• F() và Q() objects
• only() và defer()
• Raw SQL và custom queries
• Database indexing strategies
• Query performance profiling

Practical Exercises:

• Solve N+1 problem trong blog application
• Optimize dashboard queries với annotations
• Create complex filters với Q objects
• Analyze queries với Django Debug Toolbar

Learning Outcomes:

• Write efficient database queries
• Avoid common performance pitfalls
• Profile và optimize query performance

Module 2: Django REST Framework Foundation (Bài 4-10)

Django REST Framework (DRF) là cornerstone của modern Django development. Module này cover toàn bộ fundamentals cần thiết.

Bài 4: Giới Thiệu Django REST Framework

Duration: 4-5 giờ

Nội dung:

• REST principles và best practices
• DRF installation và configuration
• APIView basics
• Request và Response objects
• Status codes
• Format suffixes (.json, .api)
• Browsable API

Practical Exercises:

• Convert function-based views thành APIView
• Build simple CRUD API cho Book model
• Implement format suffixes
• Test API với Browsable API

Learning Outcomes:

• Understand REST API design
• Build basic APIs với DRF
• Work with Request/Response cycle

Bài 5: Serializers Nâng Cao

Duration: 5-6 giờ

Nội dung:

• Serializer vs ModelSerializer
• Serializer fields và field options
• read_only, write_only, required
• SerializerMethodField
• Validation: field-level, object-level
• Custom validators
• save() và create()/update()
• Nested serializers (read-only)
• HyperlinkedModelSerializer

Practical Exercises:

• Create UserSerializer với password hashing
• Implement PostSerializer với author details
• Add custom validation rules
• Build serializer với computed fields

Learning Outcomes:

• Master serializer patterns
• Implement complex validation logic
• Handle nested data structures

Bài 6: Generic Views và ViewSets

Duration: 5-6 giờ

Nội dung:

• Generic API Views: ListAPIView, CreateAPIView, etc.
• ListCreateAPIView, RetrieveUpdateDestroyAPIView
• Mixins: ListModelMixin, CreateModelMixin, etc.
• ViewSets: ModelViewSet, ReadOnlyModelViewSet
• Routers: DefaultRouter, SimpleRouter
• Custom actions với @action decorator
• get_queryset() và get_serializer_class()

Practical Exercises:

• Convert APIViews thành Generic Views
• Build complete CRUD với ModelViewSet
• Add custom actions (publish, archive)
• Setup automatic URL routing

Learning Outcomes:

• Choose appropriate view classes
• Reduce code duplication
• Implement RESTful patterns efficiently

Bài 7: Authentication trong DRF

Duration: 4-5 giờ

Nội dung:

• Authentication vs Authorization
• SessionAuthentication
• BasicAuthentication
• TokenAuthentication
• JWT (JSON Web Tokens)
• Custom authentication classes
• Login/Logout endpoints
• Token refresh strategies

Practical Exercises:

• Setup TokenAuthentication
• Implement JWT với djangorestframework-simplejwt
• Create custom TokenAuthentication với expiry
• Build login/register/logout endpoints

Learning Outcomes:

• Implement various authentication methods
• Secure API endpoints
• Work with tokens và sessions

Bài 8: Permissions và Authorization

Duration: 4-5 giờ

Nội dung:

• Permission classes: AllowAny, IsAuthenticated, IsAdminUser
• IsAuthenticatedOrReadOnly
• Object-level permissions
• Custom permission classes
• has_permission() vs has_object_permission()
• Combining multiple permissions
• Role-based access control (RBAC)

Practical Exercises:

• Implement IsOwnerOrReadOnly permission
• Create IsAuthorOrAdmin permission
• Build role-based permissions
• Protect sensitive endpoints

Learning Outcomes:

• Control access to resources
• Implement fine-grained permissions
• Secure APIs properly

Bài 9: Filtering, Searching, và Pagination

Duration: 4-5 giờ

Nội dung:

• Generic filtering với filter_backends
• django-filter integration
• SearchFilter và OrderingFilter
• Custom filter classes
• Pagination styles: PageNumberPagination, LimitOffsetPagination
• CursorPagination
• Custom pagination classes

Practical Exercises:

• Add filtering to ProductList API
• Implement search trong blog posts
• Create custom pagination với metadata
• Build advanced filter với multiple fields

Learning Outcomes:

• Make APIs user-friendly
• Implement efficient data retrieval
• Handle large datasets

Bài 10: API Versioning và Documentation

Duration: 4-5 giờ

Nội dung:

• API versioning strategies: URL, Header, Query param
• Versioning implementation trong DRF
• drf-spectacular integration
• OpenAPI/Swagger schema generation
• API documentation best practices
• Customizing API schema
• Postman collection generation

Practical Exercises:

• Implement URL versioning (/api/v1/, /api/v2/)
• Setup drf-spectacular
• Generate OpenAPI documentation
• Customize schema cho complex endpoints

Learning Outcomes:

• Version APIs professionally
• Generate automatic documentation
• Maintain backward compatibility

Module 3: Advanced DRF & Testing (Bài 11-13)

Bài 11: Custom Serializers và Nested Resources

Duration: 5-6 giờ

Nội dung:

• Writable nested serializers
• Creating child objects
• Updating nested objects
• Deleting nested objects
• Handling many-to-many relationships
• Serializer Context
• Dynamic fields
• Conditional serialization

Practical Exercises:

• Build OrderSerializer với OrderItems (writable)
• Implement PostSerializer với Comments (nested)
• Create flexible UserSerializer với dynamic fields
• Handle complex nested updates

Learning Outcomes:

• Work with complex data structures
• Implement nested resource creation
• Handle advanced serialization scenarios

Bài 12: File Upload và Media Handling

Duration: 5-6 giờ

Nội dung:

• File upload trong DRF
• FileField và ImageField trong serializers
• Validation: file type, size
• Image processing với Pillow
• Thumbnail generation
• Storage backends: Local, S3, CloudFront
• django-storages configuration
• Chunked file upload
• Progress tracking

Practical Exercises:

• Build file upload API
• Implement image upload với thumbnail generation
• Configure S3 storage
• Add file size và type validation

Learning Outcomes:

• Handle file uploads properly
• Integrate cloud storage
• Process images efficiently

Bài 13: Testing RESTful APIs

Duration: 5-6 giờ

Nội dung:

• APITestCase và APIClient
• Testing authentication
• Testing permissions
• Testing serializers
• Testing viewsets
• Factory Boy for test data
• Faker for realistic data
• Test coverage analysis
• CI/CD integration

Practical Exercises:

• Write tests cho User registration API
• Test CRUD operations
• Mock external API calls
• Achieve 80%+ code coverage

Learning Outcomes:

• Write comprehensive API tests
• Use testing best practices
• Automate testing workflows

Module 4: Background Tasks (Bài 14-15)

Bài 14: Celery - Background Tasks và Task Queues

Duration: 6-7 giờ

Nội dung:

• Celery architecture: Workers, Brokers, Backends
• Redis vs RabbitMQ
• Celery installation và configuration
• Creating tasks với @shared_task
• Calling tasks: delay(), apply_async()
• Task arguments và return values
• Task states và tracking
• Error handling: retry, timeout
• Task routing
• Monitoring với Flower

Practical Exercises:

• Setup Celery với Redis
• Create email sending task
• Implement CSV export task (long-running)
• Build image processing task
• Setup Flower monitoring

Learning Outcomes:

• Offload heavy work to background
• Scale task processing
• Monitor task execution

Bài 15: Celery Advanced - Beat, Monitoring, Best Practices

Duration: 5-6 giờ

Nội dung:

• Celery Beat: Periodic tasks
• Crontab schedules
• Interval schedules
• Dynamic scheduling
• Task chains và groups
• Chords và callbacks
• Canvas: primitives for workflows
• Best practices: idempotency, task design
• Performance tuning
• Troubleshooting common issues

Practical Exercises:

• Schedule daily report generation
• Build task chain: download → process → email
• Create periodic cleanup task
• Implement task workflow với chord

Learning Outcomes:

• Schedule recurring tasks
• Build complex workflows
• Optimize Celery performance

Module 5: Real-time Features (Bài 16-17)

Bài 16: Django Channels - WebSocket Foundation

Duration: 6-7 giờ

Nội dung:

• ASGI vs WSGI
• Channels architecture
• WebSocket protocol
• Consumers: SyncConsumer, AsyncConsumer
• Routing: WebSocket URL patterns
• Accepting connections
• Receiving và sending messages
• Closing connections
• Channel layers
• Redis channel layer configuration

Practical Exercises:

• Setup Channels với Daphne
• Create simple echo consumer
• Build notification consumer
• Implement channel layers

Learning Outcomes:

• Understand real-time communication
• Build WebSocket endpoints
• Handle bidirectional communication

Bài 17: Django Channels Advanced - Chat và Notifications

Duration: 6-7 giờ

Nội dung:

• Groups: joining, leaving, sending
• Broadcasting messages
• Authentication trong WebSocket
• Token authentication cho Channels
• Building chat application
• Live notifications system
• Typing indicators
• Online/offline status
• Read receipts
• Scaling considerations

Practical Exercises:

• Build real-time chat room
• Implement group chat
• Add live notifications
• Create typing indicator
• Add online presence

Learning Outcomes:

• Build production-ready real-time features
• Implement chat applications
• Handle concurrent WebSocket connections

Module 6: Caching Strategies (Bài 18-19)

Bài 18: Redis Caching với Django

Duration: 5-6 giờ

Nội dung:

• Caching concepts: hit rate, TTL
• Django cache framework
• Cache backends: Redis, Memcached
• redis-py vs django-redis
• cache.set(), cache.get(), cache.delete()
• Cache decorators: cache_page, cache_control
• Template fragment caching
• QuerySet caching
• Cache keys design

Practical Exercises:

• Setup Redis caching
• Cache expensive queries
• Implement view caching
• Add template fragment caching
• Build cache utility functions

Learning Outcomes:

• Speed up applications with caching
• Choose caching strategies
• Optimize cache usage

Bài 19: Advanced Caching Patterns

Duration: 5-6 giờ

Nội dung:

• Cache-aside (lazy loading)
• Write-through caching
• Write-behind caching
• Cache invalidation strategies
• Stale-while-revalidate
• CDN caching: CloudFront, Cloudflare
• Static files caching
• API response caching
• Cache warming
• Cache stampede prevention

Practical Exercises:

• Implement cache invalidation on model save
• Setup CDN cho static files
• Add ETag support
• Build cache warming script
• Handle cache stampede

Learning Outcomes:

• Master advanced caching patterns
• Integrate CDN
• Prevent caching pitfalls

Module 7: Security (Bài 20-21)

Bài 20: Security Best Practices

Duration: 5-6 giờ

Nội dung:

• OWASP Top 10
• CSRF protection
• XSS prevention
• SQL Injection prevention (ORM safety)
• CORS configuration
• Security headers: CSP, HSTS, X-Frame-Options
• HTTPS enforcement
• Secure cookies
• Input validation
• Output encoding
• Rate limiting

Practical Exercises:

• Configure CORS properly
• Add security headers
• Implement rate limiting
• Setup HTTPS locally
• Audit security với django-security

Learning Outcomes:

• Secure Django applications
• Prevent common vulnerabilities
• Follow security best practices

Bài 21: OAuth2, JWT, và Social Authentication

Duration: 6-7 giờ

Nội dung:

• OAuth2 flow: Authorization Code, Implicit, Client Credentials
• JWT structure và validation
• djangorestframework-simplejwt deep dive
• Token refresh mechanisms
• Token blacklisting
• Social authentication: Google, Facebook, GitHub
• django-allauth integration
• Custom authentication backends
• Multi-factor authentication (2FA) basics

Practical Exercises:

• Implement JWT authentication
• Add token refresh endpoint
• Integrate Google OAuth2
• Build social login với django-allauth
• Add password reset với email

Learning Outcomes:

• Implement modern authentication
• Integrate social login
• Handle tokens securely

Module 8: Performance (Bài 22-23)

Bài 22: Performance Optimization

Duration: 6-7 giờ

Nội dung:

• Performance profiling tools
• django-silk for request profiling
• cProfile và line_profiler
• Memory profiling với memory_profiler
• Database query optimization review
• Connection pooling: pgBouncer
• Gunicorn worker tuning
• Async views với async def
• Lazy loading vs eager loading
• Denormalization strategies

Practical Exercises:

• Profile slow endpoints với django-silk
• Optimize heavy views
• Setup connection pooling
• Convert slow views to async
• Benchmark before/after

Learning Outcomes:

• Identify performance bottlenecks
• Optimize critical paths
• Improve response times

Bài 23: Database Optimization và N+1 Problem

Duration: 6-7 giờ

Nội dung:

• N+1 problem deep dive
• Detective tools: Django Debug Toolbar, nplusone
• select_related() optimization patterns
• prefetch_related() với Prefetch objects
• Custom prefetching
• Database indexes: types, creation, analysis
• EXPLAIN ANALYZE
• Slow query log analysis
• Database connection optimization
• Read replicas

Practical Exercises:

• Detect N+1 trong existing code
• Fix complex N+1 scenarios
• Add appropriate indexes
• Analyze query plans
• Setup read replica (theory)

Learning Outcomes:

• Master query optimization
• Eliminate N+1 problems
• Use database features effectively

Module 9: Testing & Monitoring (Bài 24-25)

Bài 24: Advanced Testing Strategies

Duration: 6-7 giờ

Nội dung:

• Test-driven development (TDD)
• Integration testing best practices
• End-to-end testing với Selenium/Playwright
• Load testing với Locust
• Performance testing
• Test fixtures và factories
• Mocking external services
• Test databases: SQLite vs PostgreSQL
• Continuous Integration
• Test coverage analysis với coverage.py

Practical Exercises:

• Write integration tests
• Create load test scenarios với Locust
• Mock external API calls
• Setup GitHub Actions for CI
• Achieve high test coverage

Learning Outcomes:

• Implement comprehensive testing strategy
• Perform load testing
• Automate testing pipeline

Bài 25: Monitoring, Logging, và Debugging

Duration: 6-7 giờ

Nội dung:

• Logging best practices
• Python logging module
• Django logging configuration
• Structured logging
• Log levels và when to use
• Error tracking với Sentry
• Application monitoring với Prometheus
• Metrics collection
• Grafana dashboards
• Alerting strategies
• Django Debug Toolbar advanced
• PDB debugging techniques

Practical Exercises:

• Configure comprehensive logging
• Setup Sentry error tracking
• Create Prometheus metrics
• Build Grafana dashboard
• Add alerting rules

Learning Outcomes:

• Monitor production applications
• Track errors effectively
• Debug complex issues

Phase 2: Real-World Projects (Bài 27-100)

Phase 2 gồm 10 master-level projects với độ phức tạp tăng dần. Mỗi project là một complete application với full features.

Project Structure

Mỗi project gồm 5-17 bài, covering:

1. Architecture & Design (15%)
2. Core Features (50%)
3. Advanced Features (20%)
4. Optimization & Scaling (10%)
5. Deployment (5%)

Learning Approach

Không có code examples! Bạn sẽ học thông qua:

• Detailed requirements và specifications
• Architecture decisions và trade-offs
• Step-by-step implementation guidelines
• Best practices và common pitfalls
• Testing strategies
• Deployment considerations

Approach này giúp bạn:

• ✅ Think independently
• ✅ Make technical decisions
• ✅ Learn problem-solving
• ✅ Build real skills

10 Master Projects Overview

Project 1: Multi-Vendor E-commerce API (Bài 26-30)

Complexity: ⭐⭐⭐⭐ | Duration: 3-4 tuần

What You'll Build:
Marketplace platform như Shopee/Lazada thu nhỏ với multi-vendor support.

Key Features:

• Multi-tenant architecture
• Vendor management và isolation
• Product catalog với variants
• Complex inventory management
• Order processing workflow
• Payment gateway integration (VNPay, Stripe)
• Real-time notifications
• Elasticsearch product search
• Admin panel cho vendors

Technologies:
Django, DRF, Celery, Channels, Redis, Elasticsearch, PostgreSQL

Learning Outcomes:

• Multi-tenant architecture
• Complex business logic
• Payment integration
• Search optimization

Project 2: Social Media Platform API (Bài 31-36)

Complexity: ⭐⭐⭐⭐⭐ | Duration: 4-5 tuần

What You'll Build:
Social network backend như Facebook/Instagram thu nhỏ.

Key Features:

• User profiles và relationships (friends, followers)
• Newsfeed algorithm với ranking
• Real-time chat và messaging
• Media upload (images, videos)
• Stories với TTL
• Notifications system
• GraphQL API với Graphene
• Recommendation engine basics
• Content moderation
• Activity stream

Technologies:
Django, DRF, Graphene, Channels, Celery, Redis, S3, PostgreSQL

Learning Outcomes:

• Social network patterns
• GraphQL implementation
• Recommendation systems
• Horizontal scaling

Project 3: Video Streaming Platform (Bài 37-42)

Complexity: ⭐⭐⭐⭐⭐ | Duration: 4-5 tuần

What You'll Build:
Video platform như YouTube thu nhỏ với streaming capabilities.

Key Features:

• Chunked video upload
• Video transcoding với FFmpeg
• HLS/DASH streaming
• Multiple resolution support
• CDN integration
• View tracking và analytics
• Comment system
• Recommendation engine
• Playlist management
• Subscription system

Technologies:
Django, DRF, Celery, FFmpeg, Redis, S3, CloudFront, PostgreSQL

Learning Outcomes:

• Video processing workflows
• Streaming protocols
• CDN integration
• Large file handling

Project 4: Healthcare Management System (Bài 43-47)

Complexity: ⭐⭐⭐⭐ | Duration: 4 tuần

What You'll Build:
Hospital/clinic management system với telemedicine.

Key Features:

• Patient records (EMR)
• Appointment scheduling
• Doctor-patient matching
• Video consultation với WebRTC
• Prescription management
• Lab results integration
• Medical billing
• HIPAA compliance
• Audit logging
• Insurance verification

Technologies:
Django, DRF, WebRTC, Celery, PostgreSQL

Learning Outcomes:

• Healthcare domain knowledge
• Compliance requirements
• Complex scheduling
• Data privacy

Project 5: Financial Trading Platform (Bài 48-54)

Complexity: ⭐⭐⭐⭐⭐ | Duration: 5-6 tuần

What You'll Build:
Stock/crypto trading platform với real-time market data.

Key Features:

• Real-time market data stream
• Order matching engine
• Portfolio management
• Trading algorithms execution
• Risk management
• Transaction handling với atomicity
• KYC verification workflow
• Regulatory compliance
• Chart data APIs
• Historical data analysis

Technologies:
Django, DRF, Channels, WebSocket, Celery, Redis, TimescaleDB, PostgreSQL

Learning Outcomes:

• Financial systems design
• Real-time data processing
• Transaction management
• Regulatory compliance

Project 6: Learning Platform (Bài 55-60)

Complexity: ⭐⭐⭐⭐ | Duration: 4-5 tuần

What You'll Build:
Language learning platform như Duolingo với gamification.

Key Features:

• Adaptive learning algorithm
• Spaced Repetition System (SRS)
• Gamification (XP, levels, streaks)
• Audio processing
• Speech recognition integration
• AI-powered corrections
• Progress tracking
• Social learning features
• Certificate generation
• Multi-tenant for organizations

Technologies:
Django, DRF, Celery, Redis, AI APIs, PostgreSQL

Learning Outcomes:

• EdTech patterns
• Gamification design
• AI integration
• SRS algorithms

Project 7: IoT Device Management (Bài 61-66)

Complexity: ⭐⭐⭐⭐⭐ | Duration: 5 tuần

What You'll Build:
IoT platform for managing và monitoring devices.

Key Features:

• MQTT protocol integration
• Device provisioning
• Real-time monitoring dashboard
• Time-series data với InfluxDB
• Alert system với complex rules
• Firmware updates
• Device grouping
• Geolocation tracking
• Data aggregation
• Edge computing coordination

Technologies:
Django, DRF, MQTT, InfluxDB, Channels, Celery, Redis, PostgreSQL

Learning Outcomes:

• IoT architecture
• Time-series data
• MQTT protocol
• Real-time monitoring

Project 8: Enterprise ERP System (Bài 67-76)

Complexity: ⭐⭐⭐⭐⭐⭐ | Duration: 6-8 tuần

What You'll Build:
Complete ERP system cho enterprise.

Modules:

• HR: Employee, Leave, Payroll
• Finance: Accounting, Multi-currency, Tax
• Inventory: Warehouse, Stock Management
• Sales: CRM, Orders, Invoicing
• Procurement: Purchase Orders, Suppliers
• Manufacturing (optional)

Key Features:

• Modular architecture
• Workflow engine
• Approval chains
• Document management
• Reporting engine
• Multi-company support
• Integration APIs
• Role-based access
• Audit trails

Technologies:
Django, DRF, Celery, Redis, PostgreSQL, Elasticsearch

Learning Outcomes:

• Enterprise software design
• Modular architecture
• Workflow systems
• Complex business logic

Project 9: Ride-Sharing Platform (Bài 77-83)

Complexity: ⭐⭐⭐⭐⭐ | Duration: 5-6 tuần

What You'll Build:
Ride-sharing app backend như Grab/Uber thu nhỏ.

Key Features:

• Real-time GPS tracking
• Driver-rider matching algorithm
• Route optimization
• Dynamic pricing (surge)
• Payment processing
• Rating system (dual)
• Trip history
• Safety features (SOS, trip sharing)
• Driver earnings calculation
• Geospatial queries với PostGIS

Technologies:
Django, DRF, Channels, PostGIS, Celery, Redis, PostgreSQL

Learning Outcomes:

• Location-based services
• Matching algorithms
• Geospatial data
• Real-time tracking

Project 10: Microservices Architecture (Bài 84-100) [CAPSTONE]

Complexity: ⭐⭐⭐⭐⭐⭐ | Duration: 8-10 tuần

What You'll Build:
Complete microservices-based e-commerce system.

Services:

1. User Service (Auth & Authorization)
2. Product Service (Catalog & Inventory)
3. Order Service (Order Processing)
4. Payment Service (Payment Gateway)
5. Notification Service (Email, SMS, Push)
6. Analytics Service (Data Aggregation)

Architecture Components:

• API Gateway (Kong/Nginx)
• Service Discovery
• Event-driven với Kafka/RabbitMQ
• Distributed transactions (Saga pattern)
• Circuit breaker pattern
• Centralized logging (ELK)
• Distributed tracing (Jaeger)
• Container orchestration (Kubernetes basics)

Technologies:
Django, DRF, Kafka, RabbitMQ, Redis, PostgreSQL, MongoDB, Elasticsearch, Docker, Kubernetes

Learning Outcomes:

• Microservices architecture
• Distributed systems
• Event-driven design
• Service orchestration
• Production deployment

Timeline Estimates

Full-time (40+ hours/week)

Phase 1 (Bài 1-26): 2-3 tháng

• Week 1-2: Bài 1-5 (Intro, Models, DRF basics)
• Week 3-4: Bài 6-10 (DRF advanced)
• Week 5-6: Bài 11-15 (Advanced DRF, Celery)
• Week 7-8: Bài 16-20 (Channels, Caching, Security)
• Week 9-10: Bài 21-26 (Auth, Performance, Testing, Monitoring)

Phase 2 (Bài 27-100): 4-6 tháng

• Month 1: Project 1 + 2
• Month 2: Project 3 + 4
• Month 3: Project 5 + 6
• Month 4: Project 7 + 8
• Month 5-6: Project 9 + 10

Total: 6-8 tháng

Part-time (15-20 hours/week)

Phase 1: 4-6 tháng
Phase 2: 8-12 tháng
Total: 12-15 tháng

Weekend (8-10 hours/week)

Phase 1: 6-9 tháng
Phase 2: 12-18 tháng
Total: 18-24 tháng

Suggested Learning Paths

Path 1: Linear (Recommended for Beginners)

Follow bài 1 → 100 theo thứ tự.

Pros:

• ✅ Structured progression
• ✅ Build foundation properly
• ✅ Each lesson builds on previous

Cons:

• ❌ Slower time-to-project
• ❌ May feel theoretical initially

Path 2: Project-First (For Experienced)

Jump to projects, learn concepts on-demand.

Pros:

• ✅ Immediate practical value
• ✅ Learn by doing
• ✅ Motivation boost

Cons:

• ❌ May miss fundamentals
• ❌ Need to backtrack often

Path 3: Hybrid (Balanced)

• Bài 1-10: Foundation + DRF basics
• Project 1: Apply DRF knowledge
• Bài 11-17: Advanced DRF, Celery, Channels
• Project 2-3: Apply advanced concepts
• Bài 18-25: Caching, Security, Performance
• Project 4-10: Apply everything

Pros:

• ✅ Balance theory và practice
• ✅ Early wins with projects
• ✅ Reinforce learning

Cons:

• ❌ Need discipline to switch

Path 4: Focus Track (Specialized)

Pick topics relevant to your goals.

Example - API Developer:

• Bài 1, 4-13, 20-21 (DRF, Security, Auth)
• Project 1, 2, 5 (API-heavy projects)

Example - Full-stack:

• Bài 1-25 (All concepts)
• Project 1, 2, 3, 6 (User-facing apps)

Tóm Tắt Bài 1.2

Trong Bài 1.2 này, bạn đã học:

✅ Phase 1 - Core Concepts (Bài 1-26):

• 26 bài covering: Models, DRF, Celery, Channels, Caching, Security, Performance, Testing
• 9 modules từ foundation đến advanced
• Timeline: 8-12 tuần

✅ Phase 2 - Master Projects (Bài 27-100):

• 10 real-world projects từ E-commerce đến Microservices
• Mỗi project: 5-17 bài
• Timeline: 24-32 tuần

✅ Learning Paths:

• Linear: Tuần tự từ đầu đến cuối
• Project-First: Bắt đầu với projects
• Hybrid: Kết hợp concepts và projects
• Focus Track: Chuyên sâu specific areas

✅ Timeline Estimates:

• Full-time: 6-8 tháng
• Part-time: 12-15 tháng
• Weekend: 18-24 tháng

Next Steps

Trong Bài 1.3, bạn sẽ học:

• System requirements chi tiết
• Tech stack overview
• Development tools setup
• Learning methods hiệu quả
• Study schedule templates

Navigation:

• ← Bài 1.1: Tổng Quan và Prerequisites
• Bài 1.2: Roadmap 100 Bài Học (current)
• Bài 1.3: Environment Setup và Learning Methods →
• Bài 1.4: Career Path, Resources, Community →

Next Steps

Trong Part 3, bạn sẽ học:

• Environment setup chi tiết
• Development tools
• Learning methods và best practices
• Study schedule templates
• Progress tracking

Navigation:

• ← Bài 1.1: Tổng Quan và Prerequisites
• Bài 1.2: Roadmap 100 Bài Học (current)
• Bài 1.3: Environment Setup và Learning Methods →
• Bài 1.4: Career Path, Resources, Community