Architect production apps with LLMs, RAG & Agents at scale.
Master modern Generative AI engineering — Prompt Design, LangChain, LlamaIndex, Vector Databases (pgvector/Pinecone), Retrieval-Augmented Generation (RAG), and Autonomous Multi-Agent Workflows.
Get Course Syllabus & Fee Details
How You'll Progress Through This Program
Foundations & Syntax
Understand core concepts, architecture patterns, and algorithmic thinking.
Hands-on Exercises
Construct isolated modules, APIs, pipelines, and component units in live labs.
Integration & DB
Tie together databases, third-party APIs, authentication, and state stores.
Docker & Cloud
Package code into production containers with automated test suites.
Portfolio Capstone
Publish complete codebases with clean Git history for technical interviews.
A curriculum built around real engineering
LLM Fundamentals & Advanced Prompt Engineering
Transformer architecture intuition, tokenization, temperature controls, few-shot prompt design, and structured JSON outputs.
What You Will Learn
- How LLMs work: self-attention, tokens, embeddings, and context windows
- System prompting, zero-shot, few-shot, and Chain-of-Thought (CoT) prompting
- Constrained generation, JSON mode, and function calling with tool use
- Running local open-source LLMs (Llama 3, Mistral) via Ollama and vLLM
- Prompt evaluation frameworks, latency optimization, and cost modeling
Build an automated contract analysis prompt suite with strict JSON validation and hallucination checks.
How the engineering stack connects
You won't learn isolated tools. You'll understand how databases, APIs, client interfaces, and cloud deployments operate as a unified system.
LangChain & LangGraph
Core framework for building complex LLM chains and cyclical multi-agent systems
LlamaIndex
Data framework for structured document parsing and advanced RAG pipelines
OpenAI / Claude API
Frontier LLM APIs with function calling and vision capabilities
Ollama / vLLM
High-throughput inference engine for running open-source models locally
pgvector
PostgreSQL extension for high-dimensional vector similarity indexing
ChromaDB
Open-source embedding database for rapid local prototyping
FastAPI
Streaming API endpoints for real-time token delivery to clients
Ragas
Automated evaluation framework assessing RAG faithfulness and precision
Build. Deploy. Prove.
Every project you complete at AIRA follows the exact engineering workflows expected in top tech organizations.
Clean Git & Test Suites
Feature branch workflows, automated unit tests with pytest, strict linting, and meaningful commit messages.
Containerized Environments
Multi-stage Dockerfiles and Docker Compose files ensuring zero environment mismatches between local and cloud.
Live Cloud Deployments
Automated continuous deployment to cloud infrastructure providing live demonstration URLs for interviewers.
Capstone projects you will ship
Concrete codebases solving authentic technical requirements.
Enterprise Multi-Document RAG System
Production RAG application answering queries across thousands of financial PDF documents with verified page citations.
Hybrid retrieval combining BM25 keyword matching with dense Cohere re-ranking.
Autonomous Code Refactoring Agent
Multi-agent LangGraph system that analyzes GitHub pull requests, identifies security vulnerabilities, and generates tests.
Hierarchical supervisor agent routing code to specialized security and linting sub-agents.
Local Private LLM Knowledge Copilot
Completely offline, air-gapped AI assistant running open-source LLMs on local hardware for data-privacy compliance.
Quantized 4-bit model inference pipeline running efficiently on consumer GPUs.
Target technical roles
Generative AI Engineer
Designs and builds LLM-powered applications, RAG pipelines, and autonomous agent systems.
AI Application Developer
Integrates frontier AI APIs into full-stack production software and enterprise products.
Prompt Engineer & LLM Specialist
Develops high-precision prompt architectures, evaluations, and structured tool-calling flows.
All-Inclusive Program Fee
Complete industry curriculum, live 1:1 mentorship, capstone project evaluations, and placement support.
Generative AI & Prompt Engineering
3 Months structured curriculum with all project labs & mentorship.