Now Enrolling · Mysore, Karnataka · sinirtech.com

From Zero to
Production AI
Engineer

Build Systems. Not Just Models.

Transform into a job-ready AI / LLM Engineer with real production experience. Mentor-led and engineering-first — not theory, not tool demos.

RAG Pipelines Multi-Agent Systems LLM Engineering Agentic AI AWS Deployment MCP Servers
🚀 Next Batch Starting Soon — Limited Seats Available
✔ 100+ learners trained · ✔ Real production AI systems · ✔ Graduates in AI roles
25
Years Experience
9+
Production Projects
7
Agentic Frameworks
120+
Hours Training
🎓
100+
Learners Trained
🏗️
9+
Real AI Systems Built
💼
Graduates in AI Roles
🏛️
IIT
Madras + WPI Alumni
SV
Srinivas Venkataramanappa
Founder & Lead Instructor · SinirTech Academy, Mysore
B.E. (6th Rank — Univ. of Mysore) M.Tech — IIT Madras M.S. — WPI, USA
Fannie Mae Capital One Comcast T-Mobile Capgemini ITC Infotech
Experience Timeline
AI Specialist & Instructor
SinirTech Academy · Mysore, India
May 2024 – Present
Senior Engineer
Fannie Mae · Reston, VA, USA
Nov 2023 – Apr 2024
Senior Engineer
Capital One · McLean, VA, USA
Oct 2021 – May 2023
Senior Engineer
Comcast · Sterling, VA, USA & T-Mobile · Bellevue, WA, USA
Apr 2019 – Sep 2021
Software Engineer
Capgemini · ITC Infotech · Software Paradigms · India
2000 – 2018

25 Years of
Industry Experience

Not a theorist. An engineer. Srinivas has spent 25 years building production software at Fortune 500 companies across the US — Fannie Mae, Capital One, Comcast, and T-Mobile — before founding SinirTech Academy in Mysore.

He is an active builder of production-grade agentic systems, multi-agent platforms, RAG pipelines, MCP servers, healthcare AI platforms, and cloud-deployed AI applications — the same systems you will build in this program.

Mentor-led, engineering-first — focused on building real production AI systems used in industry. Not tool demos, not theory slides.

Recent Certifications
Vibe Coding, Vibe Engineering & Agentic Engineer — 2026
AI Production Deployment on AWS, Azure, Google Cloud — 2025
Agentic AI Engineering and MCP — 2025
Generative AI & AI / LLM Engineering — 2024
Machine Learning · Deep Learning · Reinforcement Learning — 2018

Engineering-First.
Not Tool-Heavy.

Most courses teach you to use tools. We teach you to build systems that go to production — systems like the 9 real AI applications built by your instructor.

❌ Most AI Courses
📖Theory-heavy, rarely deployed
🔧Tool tutorials, not engineering depth
📋Generic projects no recruiter cares about
🎥Pre-recorded, no real mentorship
📜Certificate without a portfolio
✅ SinirTech Academy
🚀Production-grade systems — RAG, Multi-Agent, MCP, AWS
🏗️Engineering principles from 9 real AI projects built by your mentor
💼Real portfolio with GitHub + live deployments
🧠Live mentorship from a practicing AI engineer (not an influencer)
📂Deployed demos that prove your skills to recruiters
Before — Where You Start
No AI experience or portfolio
No deployed systems to show
Struggling to break into AI roles
Watching tutorials, nothing shipped
After — Where You Land
Production AI portfolio on GitHub
Live RAG + Multi-Agent systems deployed
Confident in AI engineering interviews
Ready for AI Engineer / LLM Engineer roles

Courses & Training Programs

From Python foundations to deploying multi-agent AI systems in production — a structured, engineering-first progression.

What You Will Master: Vector Databases RAG Pipelines Model Deployment Evaluation & Benchmarking Prompt Optimization AI System Design MCP Servers
📘
AI Foundations
Core engineering skills — from zero to ML practitioner
  • Python20 hrs
  • Machine Learning16 hrs
  • Deep Learning12 hrs
  • Reinforcement Learning8 hrs
🤖
Generative AI & LLMs
Generative AI · Open-source LLMs · Frontier LLMs · RAG Systems
  • Prompt Engineering2 hrs
  • Generative AI2 hrs
  • LLM Engineering8 hrs
  • RAG (Retrieval-Augmented Generation)6 hrs
  • Vibe Engineering6 hrs
🧠
Agentic AI & Automation
Design intelligent agents with: Memory · Planning · Tool Use · Multi-Agent Coordination
Execution Tools
AI Automation using n8n8 hrs
OpenAI No Framework4 hrs
OpenAI Agents SDK4 hrs
Core Frameworks
CrewAI4 hrs
LangGraph4 hrs
AutoGen4 hrs
Agentic AI using MCP4 hrs
⚙️
AI Tools & Platforms
Industry tools used by practitioners — hands-on, not demos
Hugging Face
Google Colab
AnythingLLM
LM Studio
Agentic AI via Flowise
AWS Bedrock
FastAPI + Docker
ChromaDB
Gradio
Next.js + TypeScript
Ready to start building?
120+ hours of hands-on engineering training await you.
Reserve Your Spot →

Production Projects
by Your Instructor

These are real systems built by Srinivas — not sample apps. You will build similar systems during the program. Each one is a blueprint for your portfolio.

03
MULTI-AGENT · TRADING
AI Trading Floor — Stock Simulation Platform

4 AI trader agents (value/growth/systematic/crypto) on GPT, DeepSeek, Gemini, Grok. MCP servers via FastMCP for buy/sell ops. Gradio dashboard with real-time P&L, holdings, and agent logs.

OpenAI Agents SDKFastMCPPolygon.ioGradioPlotly
04
AWS · FULL-STACK
AI Digital Twin — Personalized Chatbot on AWS

FastAPI + AWS Bedrock (Amazon Nova) with session memory. Next.js 16 + React 19 frontend on S3/CloudFront. Terraform IaC for fully serverless deployment with jailbreak protection.

FastAPIAWS BedrockNext.jsTerraformCloudFront
05
AGENTIC · 6 AGENTS
Product Returns Agentic AI System

6 specialized agents (Verification, Fetch, Analysis, Evidence, Decision, Notification). 20+ function tools with input/output guardrails for PII, SQL injection, and policy compliance. SSE streaming frontend.

FastAPIOpenAI Agents SDKSQLAlchemyVision AISSE
06
HEALTHCARE · FHIR
Healthcare Management — FHIR-Compliant Platform

Spring Boot 3.5 + Java 17 backend with FHIR R4. LSTM clinical NLP (ICD-10 coding), GPT-4o-mini, drug interaction checker. Angular 18 frontend with Razorpay + Bluetooth POS payments.

Spring BootFHIR R4Angular 18LSTMGPT-4o-mini
07
ML · PREDICTION
Forest Fire Prediction — ML Risk Assessment

Compared 17 regression algorithms on 5,000 fire incidents. MLP Regressor achieved R²=90.48%, RMSE=15.61 ha. Full-stack Next.js dashboard + FastAPI backend with real-time predictions.

scikit-learnFastAPINext.jsPlotly
08
DEEP LEARNING · CV
Face Recognition & Attendance System

Real-time face detection and recognition pipeline using CNN-based embeddings (FaceNet). Attendance and identity verification with high accuracy on live video streams.

PythonOpenCVTensorFlowFaceNetscikit-learn
09
ML · RECOMMENDER
Movie Recommendation System

Collaborative filtering and content-based recommendation engine on large movie datasets. Deployed via Flask REST API with interactive UI for personalized recommendations.

Pythonscikit-learnSurpriseFlaskReact
AI Internship Program
Build 6 production AI systems — deployed on GitHub with live demos and a verified certificate
1–3
Months
6
Projects
Certificate
Live
Demos
These projects will be your portfolio.
Build them. Deploy them. Get hired with them.
Apply Now →

What Our Students Say

Real engineers. Real outcomes. Real AI careers launched from Mysore.

★★★★★

Built my first production RAG system in 6 weeks. The engineering depth here is unlike any online course — Srinivas shows you how things actually work at scale, not just how to copy-paste code.

VV
Vishwanath V
IBM Engineer · Austin, USA
★★★★★

The multi-agent project alone got me three interview calls. Having a deployed, live portfolio made all the difference. Landed my AI role within 3 months of completing the program.

PJ
Pradeep Jammula
Santander Architect · London, UK
★★★★★

Coming from a non-CS background, I was worried. The structured curriculum and 25 years of mentor experience made it approachable AND deep. Exactly what a career switcher needs.

AP
Aadrika Pandey
Nutrition Student · India
Recent Outcomes
AI Engineer role secured within 3 months of graduation
Production RAG systems built and deployed by students
Graduates working with US clients and top Indian tech companies
GitHub portfolios with live AI projects attracting recruiter attention

How It Works

A clear, structured path from zero to production AI engineer — in 4 steps.

01
📘
Learn the Fundamentals

Start with Python, Machine Learning, Deep Learning, and LLM engineering. No prior AI experience needed — we build your foundation from scratch.

02
🏗️
Build Production Systems

Apply everything hands-on — RAG pipelines, multi-agent systems, APIs, and agentic workflows. Each project mirrors real industry systems.

03
🚀
Deploy & Showcase

Deploy your systems live — on GitHub with working demos, on AWS, and in production-grade environments. Your portfolio is real and verifiable.

04
💼
Get Hired as an AI Engineer

Mock interviews, resume & LinkedIn optimization, and 25+ years of industry mentorship position you to land AI Engineer, LLM Engineer, or AI Developer roles.

Time Commitment & Format
120+Total Training Hours
1–3Month Internship
6Production Projects
LimitedBatch Size — Enroll Early
MysoreLocation (Karnataka, India)
LiveMentor-led (not pre-recorded)

Who Is This For?

Whether you're starting fresh or switching careers — this program is engineered for people who want to build, not just watch.

👨‍💻
Software Engineers & Developers

Already coding? Add AI/LLM engineering to your skillset and unlock a new career tier with real production systems.

🎓
Final-Year Students

Graduate job-ready with a real AI portfolio and live demos that stand out in every interview and campus placement.

💼
Working Professionals

Transitioning to AI? Learn the engineering fundamentals and build the portfolio that proves your readiness to employers.

👉 No prior AI experience required

Built for AI Job Seekers

From portfolio to placement — we build engineers, not just students.

Career Outcomes
  • Portfolio with production-grade AI systems on GitHub
  • Real-world, industry-level project experience
  • Graduates actively working in AI roles
  • Live demo deployments that attract recruiters
Career Support
  • Mock interviews & structured guidance
  • Resume & LinkedIn profile optimization
  • Industry mentorship — 25 years of experience
  • Recruiter-ready, industry-focused projects
Typical Roles After Completion
AI Engineer LLM Engineer AI Developer ML Engineer AI Automation Engineer Agentic AI Developer
Compensation varies based on skills, experience & portfolio

Frequently Asked Questions

Who is this program for? +
This program is designed for software engineers, developers, final-year students, and working professionals who want to transition into AI/LLM engineering. No prior AI experience is needed — we start from the foundations and progress to production-grade systems including RAG, multi-agent platforms, and MCP servers.
What will I actually build? +
You will build systems modelled on the real AI applications created by your instructor — including a ChatGPT-style RAG chatbot (like InsureLLM), a multi-agent AI assistant (like Deep Research), AI APIs deployed on FastAPI and Docker, an end-to-end LLM application, ML/deep learning pipelines, and a capstone project deployed live on GitHub with demos.
What is the time commitment? +
The full curriculum covers 120+ hours of training across structured modules covering Python, ML, Deep Learning, LLMs, RAG, and Agentic AI. Classes are designed to accommodate working professionals. The AI Internship runs 1–3 months depending on project scope and pace.
Is placement support provided? +
Yes. Career support includes mock interviews, resume and LinkedIn optimization, and direct mentorship from Srinivas — who has 25 years of industry experience at Capital One, Comcast, Fannie Mae, and T-Mobile. Your deployed AI portfolio is your strongest placement asset.
What technologies and frameworks will I learn? +
Python, scikit-learn, TensorFlow, OpenAI Agents SDK, LangGraph, CrewAI, AutoGen, MCP, ChromaDB, FastAPI, Docker, AWS Bedrock, Next.js, Gradio, n8n, Hugging Face, Flowise, and more — the exact stack used in the 9 production AI projects built by your instructor.
How do I enroll? +
Contact Srinivas directly via WhatsApp at +91 81972 18126 or email srinivas2511@gmail.com. You can also visit sinirtech.com. Seats are strictly limited per batch — early registration is strongly recommended.

Chat with SinirTech AI

Have questions about the program? Ask our AI assistant — powered by SinirTech Academy.

🚀 Final Seats Remaining — Next Batch Starting Soon

Reserve Your Spot
Before It's Gone

Start your AI career transformation today — only a few seats left for this batch.

Join the next cohort of production AI engineers. Trained by a mentor with 25 years of real industry experience and 9 production AI systems built.

🛡️
Hands-on Support
Live mentorship throughout — not pre-recorded, not alone
📂
Portfolio Guarantee
You graduate with real deployed AI systems on GitHub
🎯
Interview Readiness
Mock interviews + resume optimization from Day 1
📞
WhatsApp / Call
🌐
Website