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★ 4.9/5 Rating (1,620+ Reviews) • 6-Month Live Cohort

Artificial Intelligence Engineering Course

Become a certified AI Engineer in 6 months. Master Deep Learning, LLMs, RAG, Autonomous Agents & MLOps with official IBM & Microsoft badges and a guaranteed paid internship.

Duration
6 Months Live
Internship
Guaranteed Paid*
Credentials
IBM & Microsoft
Apply for Next Cohort → Explore Curriculum
Next Cohort Starting Soon

Download Syllabus & Apply

Get detailed module breakdown, project guides, and fee financing options via zero-cost EMI.

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Official Partner Ecosystem
IBM SkillsBuild Microsoft Learn Credly Digital Badges
Comprehensive Syllabi

Industry-Aligned Curriculum

Designed by engineering leads from top tech firms to deliver Day-1 production readiness.

1

Module 1: Systems Programming for AI & Compute Architecture

+

High-performance Python, asynchronous programming, C++ bindings, GPU memory architectures, and tensor parallelism.

2

Module 2: Advanced Deep Neural Networks & Foundation Architectures

+

Multi-head attention, Transformers, autoencoders, vision transformers (ViT), and diffusion models.

3

Module 3: Large Language Model (LLM) Engineering & Fine-Tuning

+

Parameter-efficient fine-tuning (LoRA, QLoRA), instruction tuning, RLHF, Hugging Face ecosystem, and model distillation.

4

Module 4: Enterprise RAG & Vector Database Systems

+

Hybrid semantic search, dense embeddings, re-ranking models, chunking strategies, and production vector stores (Pinecone, Milvus, Qdrant).

5

Module 5: Autonomous AI Agents & Multi-Agent Orchestration

+

Agentic patterns, tool calling, memory management, LangGraph, CrewAI, AutoGen, and self-correcting code generation workflows.

6

Module 6: Production MLOps, Model Serving & Paid Corporate Internship

+

High-throughput inference with vLLM and TensorRT-LLM, CI/CD model pipelines, Prometheus telemetry, and a guaranteed 6-month corporate paid internship.

Real-World Capstones

Production-Grade Portfolio Projects

Build full-stack, enterprise-scale projects that make your GitHub and resume stand out immediately.

Production Project

High-Concurrency LLM Inference Gateway

Engineered with vLLM, Redis caching, and Docker to serve 500+ requests/sec with sub-50ms TTFT (Time-To-First-Token).

Live Cloud Sandbox Portfolio Ready
Production Project

Autonomous Multi-Agent DevOps SRE

Constructed using LangGraph to automatically inspect server error logs, generate patch pull requests, and trigger tests.

Live Cloud Sandbox Portfolio Ready
Production Project

Enterprise Financial Knowledge RAG

Built with hybrid search (BM25 + Cohere Re-ranker) to index 50,000+ quarterly reports with exact provenance citations.

Live Cloud Sandbox Portfolio Ready
Tech Stack

Master Modern Industry Tools

PythonPyTorchvLLMLangGraphDockerKubernetesPineconeHugging FaceMLflowTensorRTAWSGit
The AI Campus Guarantee

Guaranteed 6-Month Paid Corporate Internship

Unlike traditional bootcamps that leave you with clone projects, AI Campus transitions you into a 6-month corporate internship with a monthly stipend and real client deliverables.

  • ✓ Real-world corporate experience letter
  • ✓ Guaranteed monthly stipend credited to your account
  • ✓ 450+ Tier-1 hiring partners recruiting directly

Zero Placement Fees & 0% EMI

We believe in complete transparency. We don't lock you into 36-month Pay-After-Placement ISA contracts that take 15-20% of your salary. You keep 100% of your earnings.

Talk to a Career Advisor →
Got Questions?

Frequently Asked Questions

What makes an AI Engineer different from a Data Scientist?

AI Engineers focus on shipping scalable, production-grade AI systems, LLM infrastructure, agents, and MLOps pipelines rather than just training ad-hoc models.

What credentials will I earn?

You earn official IBM SkillsBuild badges and Microsoft Learn certificates in AI & Azure infrastructure.

What is the job placement support?

You receive 1:1 resume optimization, FAANG-level mock technical rounds, direct interview referrals to 450+ hiring partners, and a 6-month paid internship.

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