LLM Application Development & Engineering:
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Master end-to-end Generative AI engineering using Python, LangChain, RAG, and cloud deployment — with hands-on labs and real-world projects.
Bangalore
December 2025
Beginner to Production-Ready in 1 Month
Ideal for: Computer Science grads, software engineers, data scientists, and technical students aiming for AI/ML roles in product or research teams.
Flexible Schedule
Weekday Batches Available — Fit learning around your projects.
Duration
40 hours of live, instructor-led training over 4–5 weeks
Course Value
Capstone Project
Build and containerize a production-ready RAG chatbot that answers questions from your own documents — deployed via FastAPI and Docker.
Assessments
Pre- and post-module quizzes + practical assignments to track mastery at every stage.
Mentorship
Guided support session for real-time clarification and feedback
Workshop
Live session: Helping you connect what you’re learning to where the industry is headed.
LMS Access
Access to all code, deployment guides and other learning materials.
Certification
Receive a globally recognized Certificate upon successful completion — validate your skills to employers.
Expertise you‘ll build
Architect end-to-end LLM applications using LangChain and LlamaIndex
Implement structured output prompting (Pydantic, JSON schema) for reliable automation
Build enterprise-grade RAG systems with ChromaDB/Pinecone and custom retrieval logic
Apply Parameter-Efficient Fine-Tuning (PEFT/LoRA) to adapt open-source models
Design multi-agent workflows using CrewAI or AutoGen
Containerize & deploy your AI app using Docker + FastAPI/Streamlit
Evaluate model performance using automated test suites and business-aligned metrics
Why choose this training program?
In a world where AI engineers earn 2–3x traditional developer salaries, this program is your fast track to building what companies actually need: reliable, scalable, deployable GenAI systems — not just chatbots.
Diverse Career Prospects
Land roles like: Generative AI Engineer, LLM Developer, AI Research Engineer, MLOps Specialist
Work with: AI startups (Hugging Face, Cohere), Big Tech (Google, Microsoft), Product Firms (Flipkart, Swiggy), and Consulting (Accenture AI)
Global demand: Every product team now needs engineers who can ship LLM apps — not just train models
Stand Out to Potential Employers
You’ll ship a Dockerized RAG app — most candidates only show notebooks
You’ll know LangChain internals, not just prompts
You’ll understand cost, latency, and reliability — the real constraints in production
Pathway to Lifelong Learning
Prepare for AWS/Azure GenAI certifications
Contribute to open-source LLM frameworks
Specialize in Agentic AI, Multimodal Systems, or AI Safety
Future-ready skills
Master LangChain chains, agents, and custom tools
Build RAG with hybrid search (keyword + vector)
Fine-tune Llama 3 or Mistral using LoRA on Colab/Cloud
Deploy scalable AI APIs with rate limiting and auth
Use real Python, Docker, and cloud CLI — not just UIs
Benefits of Choosing Us
Designed for coders who want to ship — not just theorize
Robust evaluation: Code quality, output reliability, deployment success
Dedicated program manager — your single point for all technical queries
Weekly career counseling — connect with AI Consultant to solve your doubts or query.
Taught by engineers who ship GenAI apps in production — not just run demos
Know your trainer
"Architect National AI. Don’t just deploy models." -
Rathan Muralidhar led the architecture of Bhashini (India’s largest AI program) and Anuvaad, the Supreme Court’s AI translation platform—work honored with the Economic Times CIO Award and praised by the President of India.
He’s also built agentic AI for the Prime Minister’s Dashboard, CPGRAMS, and global enterprises—proving AI can scale with purpose. A Ph.D. in AI (5 papers, 1 patent), he’s trained teams at TCS and Hanover Insurance, championing learning by building—not just listening. In his sessions, you won’t just learn multilingual LLMs—you’ll optimize them for 22 Indian languages.
You won’t just hear about agents—you’ll debug them at scale. This is AI that serves society—and sets standards.
Onboarding procedure
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Onboarding
modules
Industry-Recognized Certification
Upon successful completion, you’ll receive an ExC Academy LLM Engineering Certificate, validating your ability to build and deploy real-world Generative AI systems.
Testimonials
Faq's
We’ll recap essentials in Module 1. No prior experience needed.