InfraOneInfraOneSchool of AI

Learn GenAI By Building

Learn how modern GenAI applications actually work from LLM APIs and structured outputs to RAG, evaluation, tool-using agents, MCP and production deployment.

🎥 Live Sessions AI-Enabled LMS🛠 14+ GenAI Projects💬 24/7 Support

Apply for GenAI Bootcamp

BuildReal AI
50+ AILearning Tools
1189+Students Trained
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Don’t get left behind in GenAI

The gap is growing between people who use AI and people who can build with it. Spend 90 days becoming the latter.

Developers & AI learners ready to go beyond prompting into building
Intermediate learners who want RAG, agents & evals as portfolio proof
Anyone who wants to be early to the most in-demand AI skill set of 2026
Download Brochure

Projects you will do

You won’t just complete projects — you’ll build a portfolio that shows employers exactly what you can do.

Chat With Your PDF RAG application answering questions from a document with cited source references
Chat With Your PDF
AI company knowledge-base assistant retrieving grounded answers from internal documents and policies
Company Knowledge-Base Assistant
AI research agent searching multiple sources and generating a cited research brief with key findings
AI Research Agent
Multi-agent AI workflow where researcher, writer and editor agents collaborate to produce a final article
Multi-Agent Content Team
Text-to-SQL AI assistant converting a natural-language question into SQL and returning sales insights from data
Text-to-SQL Data Assistant
Autonomous AI task agent planning and completing multi-step work using web, email, spreadsheets and memory
Autonomous Task Agent

Your Learning Doesn't Stop Here – Unlock 10+ More Projects

Tools You’ll Build With

Work with the modern GenAI stack across models, retrieval, agents, evaluation, development, and deployment while learning the concepts behind each tool.

OpenAI
OpenAI
Claude
Claude
Gemini
Gemini
Hugging Face
Hugging Face
Python
Python
Jupyter
Jupyter
VS Code
VS Code
GitHub
GitHub
LangChain
LangChain
LangGraph
LangGraph
Qdrant
Qdrant
PostgreSQL
PostgreSQL
Model Context Protocol (MCP)
Model Context Protocol (MCP)
FastAPI
FastAPI
Docker
Docker
Streamlit
Streamlit
Gradio
Gradio
and many more tools…

Course Syllabus

A 90-day, project-first roadmap covering the engineering behind modern GenAI applications prompting, structured outputs, RAG, tool calling, agents, MCP, evaluation, reliability, and deployment.

  • LLM & GenAI Foundations
    • How LLMs actually work at an application level Tokens
    • context windows, temperature, and inference
    • System, user, and assistant messages
    • Working with model APIs
    • Streaming responses
    • Choosing the right model for a task
    • Open vs proprietary models Cost and latency basics
    Projects
    • Your First LLM-Powered Application

What learners say about project-first learning

Shubham Kumar
Software Developer @ Fujitsu
★★★★★

The Data Analytics with AI cohort changed how I approach problems. SQL, Power BI and Python felt overwhelming at first, but the mentors broke everything down with real datasets. My capstone project became the centrepiece of every interview I gave.

Shubham Kumar
Aryan Verma
Research Analyst @ ISOURCe
★★★★★

Every week we worked on live business data, no toy datasets. Pairing Python with AI tools for analysis made my research twice as fast. InfraOne’s mock interviews gave me the confidence to crack my analyst role.

Aryan Verma
Shubhadeep Nandi
Talent Acquisition @ Prokatchers
★★★★★

I joined to understand data-driven hiring. The cohort taught me dashboarding and analytics I now use daily to track pipelines. The instructors were patient with non-tech folks like me, that made all the difference.

Shubhadeep Nandi
Utkarsh Sinha
Research Analyst @ Authentix
★★★★★

From Excel basics to AI-assisted analysis workflows in twelve weeks. The pace was intense but structured. What I valued most was detailed feedback on every assignment, it never felt like a recorded course.

Utkarsh Sinha

Know more about GenAI Bootcamp

Follow a structured 90-day path from LLM foundations and RAG to evals, AI agents, MCP, and production GenAI systems, all built hands-on inside InfraOne Labs.

knowmoregenai

Reserve your seat for the GenAI Batch

Seat ReservationLimited seats per cohort
GenAI
₹34,999₹39,999Save 13%
Launch offer · Next batch starts soon
90 Days of Live Classes
14+ Hands-On GenAI Builds
Resume + Interview Preparation
GitHub & Portfolio Guidance
LMS + Session Recordings
Certificate on Completion
Join Free Webinar

Get certified by InfraOne School of AI

InfraOne certificate preview

Complete your capstone project and earn a certificate that reflects real, hands-on work, not just attendance.

Complete weekly assignments
Submit required projects
Finish capstone
Participate in final showcase

Learn from industry experts

Data Analytics Mentor
SHUBHAM JAIN

Data Analytics Mentor

Consultant · Catastrophe Risk Modeler Ex-WNS · EXL

EXLEXL
SQLPythonPower BIAI/ML

Guides learners on dashboards, analytics workflows, business insights, and project thinking.

LinkedIn
Data Science Mentor
KANISHKA AGGARWAL

Data Science Mentor

Consultant

DeloitteDeloitte
AnalyticsConsultingDashboardsBusiness Insights

Guides learners on analytics thinking, business problem-solving, dashboard storytelling, and turning data projects into clear insights.

LinkedIn
AI Systems Mentor
AAKASH SHARMA

AI Systems Mentor

Application Consultant

CapgeminiCapgemini
AI SystemsMachine LearningLLMRAG

Guides learners on AI system design, applied ML workflows, solution thinking, and building practical AI projects from concept to implementation.

LinkedIn
GenAI Mentor
RAHUL RANJAN

GenAI Mentor

Senior Software Engineer

Curio Digital Therapeutics Inc.Curio Digital Therapeutics Inc.
GenAINode.jsFHIREHR/EMR Integration

Guides learners on GenAI application development, scalable backend systems, healthcare tech workflows, and building secure AI-powered products.

LinkedIn

Frequently asked questions

The program is best suited for learners with basic Python or programming knowledge. You don’t need prior experience with RAG, AI agents, MCP, or LLM evaluation.

Build More Than Demos

Spend 90 days building RAG systems, AI agents, MCP integrations, and a flagship GenAI capstone you can actually show, explain, and improve.

Download Brochure