AI Engineering
Hands-on LLM integration, prompt engineering, RAG systems, and AI application development. Build production-grade AI systems.
Overview
Your developers have experimented with ChatGPT. Now they need to build production AI systems. This program takes engineering teams from playground experiments to production-grade AI applications. Participants build real systems — RAG pipelines, AI agents, fine-tuned models — using your actual tech stack. Every module includes live coding, architecture reviews, and deployment patterns used in real enterprise systems.
What You'll Walk Away With
Build and deploy a production-ready RAG application
Design AI system architectures that scale to enterprise requirements
Implement proper testing, monitoring, and guardrails for AI systems
Evaluate build vs. buy decisions with technical depth
Curriculum
LLM Fundamentals & API Integration
Model architectures, tokenization, API design patterns, and cost optimization
Advanced Prompt Engineering
System prompts, chain-of-thought, function calling, and structured outputs
RAG Architecture
End-to-end RAG: document processing, chunking strategies, vector DBs, retrieval optimization
AI Agents & Orchestration
Multi-step agents, tool use, LangChain/LlamaIndex, and orchestration patterns
Fine-tuning & Customization
When and how to fine-tune, LoRA/QLoRA, evaluation frameworks, and cost-benefit analysis
Production AI Systems
Testing, monitoring, guardrails, latency optimization, and deployment at scale
Who Should Attend
- •Software engineers and full-stack developers
- •Data scientists transitioning to AI engineering
- •ML engineers and platform engineers
- •Technical architects and tech leads
- •DevOps/MLOps engineers
Prerequisites
Programming experience (Python preferred)
Basic understanding of APIs and web services
Familiarity with cloud platforms (AWS/Azure/GCP) is helpful
What's Included
Industries We've Delivered This For
Pricing
Starting from ₹5,00,000
Volume discounts for 50+ participants. All prices exclude GST. TDS compliant.
Request a ProposalWhatsApp UsSchedule a CallQuick Facts
Start with a Pilot
Not ready to commit? Run a pilot batch of 20-50 participants, measure results, then scale with confidence.
AI Guru Labs
Learn from systems we've built
This program uses real case studies from our 19 production AI products across 9 industries.
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