TRACK 29•AI Systems Track•ADVANCED

AI Systems Engineering

Name: AI Systems Engineering
Price: 3999.00 INR
Availability: InStock

APIs, model serving, caching, observability, and cost optimization — production AI backends.

Autonomous Swarms & Tool UseProduction Deployment LifecyclesFull Syllabus Access

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Instructor

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12 Modules

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12 Lessons & Labs

Enrollment1-Year Full Access

₹3,999

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Instant 24/7 course activation & access

1-Year full access to all 12 modules & labs

Verified Certificate of Completion

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Overview & Outcomes

Course Learning Objectives

Build production AI backends. APIs, model serving, inference, caching, queues, vector databases, authentication, logging, observability, scalability, latency, and cost optimization.

Core Curriculum Competencies

What you'll master

LLM inference serving engines: vLLM, TensorRT-LLM & TGI
KV cache management: PagedAttention & speculative decoding
Building high-throughput, low-latency AI microservices with FastAPI

Streaming responses with Server-Sent Events (SSE) & WebSockets

Async concurrency, connection pooling & rate limiting in production

Syllabus & Modules

Course Curriculum

A comprehensive breakdown of all modules, theory readings, interactive quizzes, and compiler practice labs.

Module 1: AI Backend Architecture Overview

1 Lessons

1.1AI Backend Architecture OverviewREADING

Module 2: Building APIs for AI Models (FastAPI)

1 Lessons

2.1Building APIs for AI Models (FastAPI)READING

Module 3: Model Serving & Inference Endpoints

Locked

3.1Model Serving & Inference EndpointsREADING

Module 4: Caching Strategies for AI Applications

Locked

4.1Caching Strategies for AI ApplicationsREADING

Module 5: Message Queues & Async Processing

Locked

5.1Message Queues & Async ProcessingREADING

Module 6: Vector Databases in Production

Locked

6.1Vector Databases in ProductionREADING

Full Syllabus Gated (10+ Modules)

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Enroll to unlock all 12 modules, 12 coding labs, automated graded quizzes, solution walk-throughs & verified certificate.

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Lead Instructor & Mentor

Instructor

Passionate engineer and educator specializing in core algorithms, production backend systems, and modern AI engineering.