Architect production apps with LLMs, RAG & Agents at scale. — Gen AI & Prompt Engineering Course in Coimbatore at AIRA Global Tech
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
Generative AI Foundations
LLMs, tokens, context, multimodal AI and modern generative AI concepts.
Prompt Engineering
Structured prompts, system instructions, role prompting and reliable outputs.
AI Workflows
Build reusable AI workflows using APIs, structured outputs and automation.
RAG & AI Agents
Retrieval, knowledge bases, tool calling and agentic workflows.
AI Portfolio
Build practical GenAI applications, assistants and automation projects.
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
Prompt. Integrate. Automate.
Architect deterministic, reliable, and production-ready generative AI systems and agentic workflows.
Structured & Reliable Prompts
Few-shot prompting, JSON schema enforcement, system instructions, and hallucination reduction workflows.
APIs, RAG & Tool Integration
Vector database retrieval, semantic embeddings, function calling, and context window optimization.
Practical AI Assistants & Agents
Multi-step autonomous agent systems, conversational interfaces, and intelligent business process automations.
Capstone projects you will ship
Concrete projects solving authentic industry 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 industry 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.
Gen AI & Prompt Engineering
3 Months structured curriculum with all project labs & mentorship.
Frequently Asked Questions
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