Django & FastAPI Backend Online Training
Complete Python Web Backend Online Training — Django 5, Django REST Framework, FastAPI, Pydantic v2, SQLAlchemy 2.0, JWT/OAuth2, Redis, Celery & Capstone.
Technologies You Will Master
Everything Included: Complete Syllabus, Live Classes & Capstone
This focused 6-week (60 hours) live online training covers 100% of the Django & FastAPI Backend Online Training syllabus from core fundamentals to production architecture — culminating in a mentor-reviewed Hands-On Capstone Project you can showcase directly on GitHub and in technical interviews.
Course Overview & Architectural Focus
### 💻 Complete Live Online Training + Hands-On Capstone (₹4,999 All-Inclusive)
Django & FastAPI Backend Online Training is a focused, practical **6-Week (60-Hour) Live Online Training Course** engineered to take you through the **complete end-to-end syllabus** without bloated theory or overpriced ₹50,000+ career bundles. Every concept is coded live with industry mentors and reinforced through hands-on labs.
### 🚀 What Is Included in Your ₹4,999 Online Training
- **Complete Structured Syllabus (9 Modules)**: Step-by-step live online classes covering fundamentals, internal mechanics, performance best practices, and production patterns.
- **Hands-On Capstone Project**: Build, test, document, and deploy a real-world GitHub portfolio project reviewed by your trainer.
- **Topic-Wise Mock Tests & AI Viva**: Reinforce every lesson with timed MCQ diagnostics and interactive AI technical viva practice.
- **Direct Trainer Doubt Clearing & Callback Guidance**: Get personalized batch timing support (morning/evening/weekend) and 1-on-1 doubt resolution.
### 🎯 Who Should Join
Python programmers, backend developers, and AI engineers who want to build high-throughput production APIs with Django 5 and FastAPI.
Technologies & Toolchain Mastered
Production-level tools and frameworks practiced during live online coding sessions and capstone development.
Structured Learning Path (4 Phases)
Week-by-week progression taking you from core foundations to your completed Capstone Project.
SQLAlchemy 2.0, Django 5 & DRF Mastery
Master relational ORM modeling, migrations, QuerySet optimization, DRF ViewSets, serializers, and pagination.
FastAPI Async Microservices & API Security
Build async endpoints with automatic OpenAPI schemas, dependency injection, JWT/RBAC auth, and OWASP Top 10 hardening.
Redis Caching, Celery Workers & Event Streaming
Offload heavy email, media, and billing workflows to Celery workers backed by Redis and event streams.
High-Throughput Python Backend Capstone
Deliver and defend the production E-Commerce & Async Media Backend Capstone Project.
Complete Course Syllabus (9 Modules)
Every module includes live coding labs, 20+ topic mock tests per lesson, and AI technical viva practice.
SQLAlchemy 2.0 declarative models, mapped_column, relationships, Core vs ORM, async engine with asyncpg, and Alembic migrations.
SQLAlchemy 2.0 paradigm shift, DeclarativeBase, mapped_column, Mapped type annotations, and model mapping.
relationship(), foreign keys, back_populates, cascade options, lazy='select', lazy='joined', lazy='selectin', and avoiding the N+1 problem.
create_async_engine, async_sessionmaker, AsyncSession, select(), where(), filter(), order_by(), and scalar() execution.
Initializing Alembic, alembic.ini, env.py, generating migrations (revision --autogenerate), upgrade, downgrade, and migration best practices.
Constructing a full asynchronous database access layer for an enterprise schema with Alembic automated migrations.
Django 5 setup, MVT pattern, project vs app structure, settings, models, migrations, QuerySets, Django Admin customization, and views/templates.
Model-View-Template (MVT) pattern, django-admin, manage.py, settings.py, split settings for environments, and app creation.
Model fields, primary keys, foreign keys (CASCADE, PROTECT, SET_NULL), ManyToManyField, OneToOneField, Meta class, and database constraints.
filter(), exclude(), get(), order_by(), values(), values_list(), annotate(), aggregate(), select_related() (JOIN), and prefetch_related().
ModelAdmin, list_display, list_filter, search_fields, list_editable, inlines (TabularInline), and custom admin actions.
path(), re_path(), View, TemplateView, ListView, DetailView, CreateView, Django Forms, and CSRF protection.
Building an internal company portal with role-differentiated dashboards, optimized QuerySets, and custom Django Admin.
DRF architecture, Serializers, ModelSerializers, APIView, GenericAPIView, ViewSets, Routers, permissions, pagination, and Project 2 build.
REST architectural constraints, HTTP verbs, status codes, content negotiation, Request and Response objects.
ModelSerializer, fields, read_only_fields, validate_<field>(), validate() object-level checks, nested serializers, and write-enabled nested relations.
APIView, generic views (ListCreateAPIView, RetrieveUpdateDestroyAPIView), ModelViewSet, ReadOnlyModelViewSet, and DefaultRouter.
SessionAuthentication, TokenAuthentication, JWT integration, IsAuthenticated, IsAdminUser, custom BasePermission, and AnonRateThrottle.
django-filter integration, DjangoFilterBackend, SearchFilter, OrderingFilter, PageNumberPagination, and LimitOffsetPagination.
Building Project 2: Role-based JWT authentication, full employee CRUD, department management, multi-parameter filtering, and React frontend integration.
FastAPI ASGI architecture (Uvicorn), path/query parameters, request bodies, Pydantic v2 validation, dependency injection (Depends), and OpenAPI/Swagger.
WSGI vs ASGI, event-loop execution, Uvicorn server, FastAPI application lifecycle, and performance benchmarks.
Type declarations in path, Query() metadata, Path() validation, Header(), Cookie(), and HTTP status code conventions.
BaseModel, Field(), custom validators (@field_validator, @model_validator), nested schemas, and response_model filtering.
Why DI matters, Depends(), database session injection, authenticated user extraction, hierarchical sub-dependencies, and yield dependencies for cleanup.
CORSMiddleware, custom ASGI middleware, error handling with HTTPException and custom exception handlers, Swagger UI (/docs), and ReDoc (/redoc).
Constructing a standalone async FastAPI service using Pydantic v2, dependency injection, and automatic Swagger docs.
Token-based authentication, JSON Web Tokens (PyJWT), refresh token rotation, OAuth2 password bearer flow, Google social login, and RBAC.
Symmetric vs asymmetric encryption, salting, bcrypt, Argon2 password hashing algorithms, and passlib.
Header, Payload, Signature, claims (sub, exp, iat), access tokens vs refresh tokens, token revocation strategies, and PyJWT.
OAuth2PasswordBearer, token generation endpoint, extracting and validating tokens in request dependencies, and returning 401 Unauthorized.
Roles (Admin, Manager, User), permissions matrix, declarative permission decorators, and row-level tenancy enforcement.
HttpOnly, Secure, SameSite cookie attributes, preventing XSS and CSRF, and Google OAuth2 social login integration.
Implementing an enterprise auth service with access token refresh rotation, Redis blacklist, and RBAC guards.
OWASP API Top 10 vulnerabilities, BOLA/BFLA, SQL injection, XSS, CSRF, security headers, rate limiting, and dependency vulnerability scanning.
Broken Object Level Authorization (BOLA), Broken Function Level Authorization (BFLA), Unrestricted Resource Consumption, and Security Misconfiguration.
Strict Pydantic schemas, regex validation, sanitizing HTML outputs, preventing Mass Assignment vulnerabilities, and payload size limits.
Content Security Policy (CSP), Strict-Transport-Security (HSTS), X-Frame-Options, X-Content-Type-Options, and Referrer-Policy.
IP-based and user-based throttling, slowloris defense, Redis token bucket algorithms, and Cloudflare/WAF overview.
Static Application Security Testing (SAST) with Bandit, dependency vulnerability scanning with pip-audit and Snyk, and secret leak detection with git-secrets.
Conducting a security penetration test on a vulnerable API, identifying BOLA flaws, and remediating all vulnerabilities to pass automated security audits.
Redis data structures (strings, hashes, lists, sets, sorted sets), caching strategies (cache-aside, write-through), TTL, and Python redis-py.
Single-threaded event loop, in-memory persistence (RDB, AOF), CLI usage, and connection from Python with redis-py.
Strings (key-value, counters), Hashes (storing objects), Lists (queues), Sets (unique tags), and Sorted Sets (leaderboards, rate limiters).
Cache hit/miss workflows, TTL (Time-To-Live), cache invalidation techniques, cache stampede prevention, and dogpiling mitigation.
SETNX distributed lock pattern, Redlock algorithm, token bucket rate limiting, and session store integration.
Implementing an intelligent caching middleware in FastAPI reducing database query load by 85% with automated TTL invalidation.
Celery architecture, brokers (Redis/RabbitMQ), task definition, async execution (delay, apply_async), retries, periodic tasks, and Project 3.
Message broker, task queue, Celery workers, result backend, task serialization, and concurrency models (prefork, eventlet, gevent).
@shared_task decorator, calling tasks with .delay() and .apply_async(), passing primitives vs IDs, and retrieving task status from AsyncResult.
Automatic task retries with exponential backoff (retry_backoff=True), max_retries, custom retry exceptions, and handling poison pills.
Complex orchestration with s(), chain (sequential execution), group (parallel execution), and chord (parallel with callback).
Crontab schedules, periodic tasks configuration, Celery Beat daemon, django-celery-beat database scheduler, and Flower task monitoring.
Building Project 3: S3 presigned uploads, background media resizing with Pillow, Celery task workers, and scheduled publishing via Celery Beat.
Hands-on implementation of Project 4: FastAPI async order placement, Redis distributed inventory locks, Kafka OrderEvents publishing, and PostgreSQL persistence.
Designing the order lifecycle, state machines, atomic reservation with Redis, and timeout cleanups.
Kafka producer configuration, topic partitioning, payment processing listener, and idempotency keys.
Benchmarking FastAPI microservices under 5,000 concurrent virtual users, finding bottlenecks, and tuning connection pools.
Refactoring and defending the complete Project 4 codebase with automated PyTest coverage and Docker deployment.
Hands-On Capstone & Production Projects (2)
Build, test, and deploy real production repositories reviewed by your trainer for your engineering portfolio.
Django & FastAPI Capstone — High-Throughput E-Commerce Backend Engine
Architect an asynchronous microservices platform handling catalog discovery, distributed cart sessions, inventory locking, and order fulfillment.
Project 3 — Asynchronous Content & Media Publishing Platform
Engineer a media publishing platform with background thumbnail generation, automated content moderation, scheduled publication, and rich text blogging.
🎯 Who Should Join
Python programmers, backend developers, and AI engineers who want to build high-throughput production APIs with Django 5 and FastAPI.
📋 Prerequisites
Working knowledge of Core Python (functions, classes, virtual environments) and basic SQL.
Frequently Asked Questions
Key details about course fees, live batch schedules, syllabus depth, capstone review, and certificate verification.
What is the fee and duration for Django & FastAPI Backend Online Training? ↓
Django & FastAPI Backend Online Training has an all-inclusive fee of ₹4,999 for 6 weeks (60 hours at 10 hours/week) of live instructor-led online classes, complete module-by-module lab source code, topic mock tests, AI viva practice, and capstone mentorship.
Does Django & FastAPI Backend Online Training cover the complete syllabus and a real capstone project? ↓
Yes. You cover all 9 structured modules mastering FastAPI, Django 5 & DRF, Pydantic v2, SQLAlchemy 2.0 Async, JWT & OAuth2 Security, and build the hands-on capstone project (Django & FastAPI Capstone — High-Throughput E-Commerce Backend Engine) with mentor code review and GitHub portfolio deployment.
How do I enquire or connect with the trainer before joining a batch? ↓
Click the "Enquire / Request Trainer Callback" button on this course page and submit your contact details. Our trainer will call you directly to walk through the complete syllabus, upcoming live batch timings, and capstone architecture.
Are topic-wise mock tests, AI interviews, and a completion certificate included? ↓
Yes. Every lesson includes 20+ calibrated topic mock tests plus live AI voice technical viva practice, and graduates receive a tamper-proof QR-verifiable Course Completion Certificate.
Enquire for Live Online Batch (₹4,999)
Get a direct call from the course trainer with upcoming batch timings, full syllabus PDF, and capstone overview.
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