FastAPI for AI Backends Course in Hyderabad
Build fast, async API back ends that serve machine learning and LLM features
The FastAPI for AI Backends course teaches you to build the API layer that powers AI applications. You start with Python type hints, async programming and HTTP, then learn FastAPI routing, request and response models with Pydantic, validation, dependency injection, error handling, authentication with OAuth2 and JWT, background tasks, WebSockets and server-sent events for streaming. You connect to PostgreSQL with SQLAlchemy, add caching with Redis, and write tests with pytest. The AI half of the course serves scikit-learn and PyTorch models, calls hosted large language models with streaming responses, builds retrieval-augmented generation endpoints with embeddings and pgvector, implements tool calling, queues long-running jobs, adds rate limits, logging and cost tracking, and containerises and deploys the service with Docker and CI/CD. The course suits developers and data scientists with basic Python who want to ship models as services. Classes run in classroom batches at the GloryTecks centre in Ameerpet, Hyderabad, and in live online batches, with a capstone AI service.
Syllabus
Modern Python for APIs
- •Type hints and static checking basics
- •Async programming with asyncio, async and await
- •Dataclasses, packaging and virtual environments
- •Lab: Write async code that calls several services concurrently
- •Outcome: Use the Python features FastAPI depends on
HTTP & REST API Design
- •HTTP, REST resource design and idempotency
- •Status codes, error format and pagination conventions
- •OpenAPI documents and API-first design
- •Lab: Design an API contract for a model-serving service
- •Outcome: Design clean, predictable APIs
FastAPI Fundamentals
- •FastAPI app, routers and path operations
- •Path, query and header parameters; request bodies
- •Interactive documentation with Swagger UI and ReDoc
- •Lab: Build CRUD endpoints for a sample resource
- •Outcome: Build and document working endpoints
Pydantic Models & Validation
- •Models, field constraints and custom validators
- •Response models, serialisation and aliases
- •Settings management with environment variables
- •Lab: Create strict request and response schemas for predictions
- •Outcome: Validate inputs and outputs automatically
Dependency Injection, Middleware & Errors
- •Dependencies, sub-dependencies and reusable components
- •Middleware, CORS, exception handlers and lifespan events
- •Structured logging and request IDs
- •Lab: Add logging, error handling and a shared dependency
- •Outcome: Build maintainable, observable services
Databases & Caching
- •SQLAlchemy models and sessions; async database access
- •Alembic migrations and repository patterns
- •Caching with Redis and cache invalidation
- •Lab: Store and cache prediction results
- •Outcome: Persist and cache data correctly
Authentication & Security
- •OAuth2 with password flow and JWT bearer tokens
- •API keys, scopes and role-based access
- •Rate limiting, input limits and secrets management
- •Lab: Secure the API with JWT and per-user limits
- •Outcome: Protect AI endpoints from misuse
Serving Machine Learning Models
- •Loading models at startup and serving predictions
- •Batch prediction, input validation and model versioning
- •ONNX export and performance considerations; CPU versus GPU serving
- •Lab: Serve a trained model with a health check and version endpoint
- •Outcome: Turn a notebook model into a reliable service
LLM Endpoints & Streaming
- •Calling hosted LLM APIs from FastAPI with retries and timeouts
- •Streaming with server-sent events and WebSockets
- •Structured output, tool calling and token cost logging
- •Lab: Build a streaming chat endpoint with a React or HTML client
- •Outcome: Serve LLM features with good user experience
RAG Services
- •Document ingestion endpoints and chunking
- •Embeddings and pgvector search
- •RAG answer endpoint with citations and refusal behaviour
- •Lab: Build a document question-answering service
- •Outcome: Build retrieval-backed AI services
Background Jobs, Queues & Scaling
- •Background tasks and job queues for long-running work
- •Task status endpoints and webhooks
- •Concurrency, workers and horizontal scaling
- •Lab: Process uploaded documents asynchronously
- •Outcome: Keep APIs responsive under heavy work
Testing, Docker & Deployment
- •Testing with pytest and TestClient, including mocking LLM calls
- •Docker, Compose, Uvicorn or Gunicorn workers and CI/CD with GitHub Actions
- •Monitoring, tracing and cost dashboards
- •Capstone: AI service with auth, database, RAG, streaming and deployment
- •Outcome: A deployed, documented AI back end
Tools Covered
Projects Included
- Model Prediction API: Serve a trained model with validated schemas, health checks and versioning; deliverable is a Dockerised API and docs.
- Secured Notes or Tasks API: Build a CRUD API with JWT, PostgreSQL and tests; deliverable is a documented API.
- Streaming Chat Backend: Build an LLM chat endpoint with streaming, cost logging and rate limits; deliverable is an API and a simple client.
- Document Q&A Service: Build ingestion and RAG endpoints with pgvector and citations; deliverable is a working service and evaluation sheet.
- Capstone AI Service: Combine auth, RAG, streaming, background jobs and deployment; deliverable is a live service, GitHub repository and architecture diagram.
Start Your Journey Today
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Call: +91 9908099980Prerequisites & Eligibility
Understand the foundation and skills needed to succeed in the FastAPI for AI Backends course.
Course Prerequisites
- Any graduate is eligible for enrollment across all program tracks
- Dedication to work on real-time scenario projects and live client project implementations
- Willingness to engage in aptitude, soft skills and interview readiness sessions
- Commitment to complete full-day training or intensive/internship program schedules
Why Choose GloryTecks
Build practical capabilities through structured learning, expert mentors and hands-on projects.
5+ Years of Excellence
Established training institute in Hyderabad with a proven track record of producing industry-ready professionals.
Expert Faculty
Learn from trainers with real-world industry experience, who teach the way the work is actually done.
Placement Assistance
A dedicated placement team with tie-ups across hiring companies. We support you until you get hired.
Comprehensive Curriculum
Updated syllabus covering the latest technologies and industry best practices, with hands-on projects.
Career Growth Focus
Not just training, but complete career transformation with soft skills and interview preparation.
Online & Classroom
Attend live online batches or classroom training at our Ameerpet centre, whichever suits you.
Flexible Batches
Weekday, weekend and online batch timings to suit working professionals, students and freshers.
Real-time Projects
Work on real-time scenario projects so you finish with practical experience to show employers.
We provide placement support with direct access to hiring companies, along with comprehensive training that helps freshers become job-ready professionals.
Certification
Explore certification and practical learning opportunities with a focus on FastAPI for AI Backends.
Certificate of Completion
FastAPI for AI Backends
This certifies that
[Your Name]
has successfully completed the
FastAPI for AI Backends
Training Program
GloryTecks
Ameerpet, Hyderabad
Certificate ID
GT-YYYY-XXXX
Certificate Includes
- Course completion certificate from GloryTecks
- Project completion certificates
- Internship completion certificate for eligible internship programs
- Digital certificate with a unique verification ID
- Shareable on LinkedIn and other professional platforms
- Valid proof of skill acquisition for employers
- Includes the detailed syllabus covered
Industry Focus
A certificate built around the tools and skills employers ask for, adding credibility to your resume.
Skill Validation
Proves your expertise in the course and the technologies you worked with.
Career Advancement
Strengthens your profile when you apply for jobs and negotiate your salary.
Digital & Physical
Get a digital certificate for online sharing and a physical copy for framing.
Course Certificate
Upon successful completion of the training program
Project Certificate
For major projects completed during training
Course Features & Highlights
Build a strong foundation through a structured FastAPI for AI Backends course with practical learning and hands-on exposure.
Live Projects
Work on real-world projects from day one with industry use cases.
Expert Trainers
Learn from industry professionals with real-world experience.
Placement Support
Dedicated placement team with assistance until you get hired.
Industry Certification
Get certified and boost your resume with recognized credentials.
LMS Access
Access to learning materials and recorded sessions.
Mock Interviews
Weekly mock interviews to prepare you for real job scenarios.
Resume Building
Professional resume preparation and LinkedIn profile optimization.
Additional Benefits
- Flexible Payment Plans
- 6-12 Months LMS Access
- Doubt Clearing Sessions
- 24/7 Learning Support
Frequently asked questions
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Best FastAPI for AI Backends Training in
Ameerpet, Hyderabad
Located at Ameerpet — Hyderabad’s IT training hub. Easily accessible from all areas of Hyderabad. Just 2 minutes walk from Ameerpet Metro Station.
Placement Support
Career support covers resume and LinkedIn preparation, mock interviews and a portfolio of 5 course projects. Roles that use these skills include Python Back-End Developer, AI Engineer, Machine Learning Engineer, Generative AI Developer; support is guidance with the job search, not a guarantee of a job.