Build production-grade FastAPI backends through 9 real projects: REST APIs, databases, auth, WebSockets, AI and RAG.
InstructorHitesh ChoudharyComidoc has tracked 2 coupons for this course since 2026, last checked 3 months, 3 days ago.
| Coupon code | Discount | Added | Status | Lifetime |
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| Coupon codeCHAIAUG02 | Discount33% off | Added | StatusExpired | Lifetime3d 20h |
| Coupon codeLAUNCH5 | Discount33% off | Added | StatusExpired | Lifetime4d 22h |
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Instruction spans both relational databases using SQLModel and NoSQL document-based storage with MongoDB.
The path includes building RAG pipelines using vector embeddings, LangChain, and QuadrantDB for document queries.
Covers advanced data streaming capabilities through Server-Sent Events (SSE) and StreamingResponse.
There are no available learner signals or reviews to verify teaching clarity or practical outcomes.
This course is suitable for Python developers or AI enthusiasts who want to build high-performance backends capable of serving LLM-driven features.
Score breakdown
The curriculum covers diverse technical areas including SQL/NoSQL databases and RAG pipelines.
The course is structured around multiple distinct project modules and hands-on items.
No substantive sampled-review evidence was available to move teaching clarity away from a neutral assessment.
The available evidence does not establish enough about current reliability to move this dimension away from neutral.
The curriculum aligns with the stated goals of Python developers and AI enthusiasts through its project variety.