Engineering & ITHigh Placement TrackAdvanced Level

Full-Stack Software Engineering & Applied AI

Professional boot-track for high-impact software careers with direct industry capstones

4.96(520 reviews)
2,180 Scholars Enrolled
9 Months (Weekend + Evening Intensive)
Next Batch: 2026-09-20
Full-Stack Software Engineering & Applied AI

Program Overview

Crafted in collaboration with staff engineers and engineering managers from Google, Meta, and Stripe, this curriculum bridges academic foundations with production-scale software delivery. You will build distributed microservices, deploy autonomous LLM multi-agent systems, write concurrent cloud pipelines, and practice rigorous technical whiteboard interviews.

What Distinguishes This Cohort

3 Production-grade live client capstone deployments to AWS / GCP
Weekly live code reviews and architecture walkthroughs by FAANG managers
System design drills: high-concurrency caching, rate limiting, and event streaming
Dedicated tech placement desk with 200+ global hiring partners and referral channels

Key Learning Outcomes

Outcome 01

Architect full-stack web applications in TypeScript, Next.js 16, and PostgreSQL

Outcome 02

Build resilient microservices with Docker, Kubernetes, gRPC, and Redis

Outcome 03

Integrate production LLM agent workflows, RAG pipelines, and vector databases

Outcome 04

Clear senior-level system design and algorithmic technical screens

Structured Curriculum Roadmap

Multi-volume syllabus deconstructed into structured milestone modules.

3 Core Modules
01

Modern TypeScript, Next.js & Distributed Systems Foundations

3 Months36 Master Lectures
Advanced TypeScript Types, Generics & Utility Types
Next.js Full-Stack Architecture, Server Actions & Streaming
Database Design, PostgreSQL Indexing & Prisma ORM
RESTful, GraphQL & Type-Safe RPC APIs
Authentication, OAuth 2.0 & Session Security Models
02

Cloud Infrastructure, Containers & Microservices

3 Months36 Master Lectures
Docker Containerization & Multi-Stage Builds
Kubernetes Pods, Deployments & Service Meshes
Message Brokers: Kafka & RabbitMQ Event-driven Queues
Redis In-Memory Caching & Distributed Locks
CI/CD Pipelines with GitHub Actions & Infrastructure as Code
03

Applied Generative AI & Autonomous Agent Orchestration

3 Months32 Master Lectures
Retrieval-Augmented Generation (RAG) & Vector Embeddings
Multi-Agent Coordination & Function Calling Frameworks
Fine-Tuning, Quantization & Self-Hosted Model Inference
End-to-End Capstone Defense & FAANG Mock Interviews

Eligibility Criteria

Open to STEM undergraduates, engineering graduates, computer science students, and working professionals looking to transition to tier-1 tech roles.

Schedule & Delivery Mode

Mode: Hybrid (Classroom + Live)

Timing: Tue, Thu: 7:00 PM - 9:30 PM | Sat: 10:00 AM - 4:00 PM (Lab & Capstone)

Faculty Deans & Lead Instructors

Portrait of Prof. Marcus Vance
4.94

Prof. Marcus Vance

Director of Computer Science & AI Systems
M.S. in Computer Science, Stanford • Ex-Staff Engineer Google
Total Program Tuition
$1,999$2,400

✓ Up to 100% scholarship fee waiver available via NSTHE assessment

Included with Enrollment:
Complete 40-volume physical kit shipped to address
24/7 access to LMS recordings and video solutions
Daily 1-on-1 twilight doubt resolution desks
Weekly proctored all-India mock test series

Course Enquiry & Counseling

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