Learn
Acquire future-ready AI Engineering skills through structured learning and guided practice.
Learn. Build. Ship.
Building The Next Generation Of AI Builders
From structured AI Engineering programs to real-world AI product development, Navrik Labs is creating a community of builders ready for the AI era.
Core Philosophy · Connected System
Build
Transform knowledge into real-world projects and practical AI solutions.
Ship
Deploy applications, workflows, and production-ready systems.
Innovate
Contribute to products, ideas, and the future of AI innovation.
The Navrik Ecosystem
Three Systems. One Innovation Loop.
AI Learning
Structured pathways that ignite builder mindset
AI Talent
Professionals transformed into production-ready builders
AI Products
Real-world systems shipped to create opportunity
→ Learning creates talent
→ Talent builds products
→ Products create opportunities
Applied AI Systems Engineering Program
100-Day Applied AI Systems Engineering Program
Build Real AI Systems.
Deploy Production-Ready Applications.
Become an AI Systems Engineer.
Most AI courses teach tools.
This program teaches how to engineer AI systems.
Learn Python, GenAI, RAG, Agentic AI, Observability, and Production Architecture through a structured 100-day journey designed for aspiring AI Engineers.
TRANSFORMATION JOURNEY
Day 1
Learning Python & Engineering Foundations
↓Day 25
Building APIs, Data Pipelines & Backend Systems
↓Day 50
Building GenAI Applications & RAG Systems
↓Day 75
Building Agentic AI Systems & Multi-Agent Workflows
↓Day 100
Designing Production-Ready AI Architectures
FINAL OUTCOME
AI Systems Engineer
FINAL TRANSFORMATION MESSAGE
From AI User
↓AI Builder
↓AI Application Developer
↓AI Systems Engineer
↓Production AI Engineer
Current Featured Initiative
Applied AI Systems Engineering Program
100-Day Applied AI Systems Engineering Program
Build Real AI Systems.
Deploy Production-Ready Applications.
Become an AI Systems Engineer.
A structured 100-day AI systems engineering journey for professionals, career returnees, career switchers, and aspiring AI engineers — from foundations to production architecture.
Current Featured Cohort: Women Career ReStart Program
Production AI Engineering
AI Systems Engineering Curriculum
Four phases. One structured journey from engineering foundations to production-ready AI architecture.
PHASE 01
Python for AI Builders
Build the engineering foundation required for modern AI systems.
Topics
- Python Fundamentals
- Functions & Modular Design
- File Processing
- APIs & Integrations
- Data Pipelines
- Validation Layers
- FastAPI
- Docker Fundamentals
- Deployment Basics
Projects
- ✓Smart Business Automation CLI
- ✓Multi-API Data Fetcher
- ✓End-to-End Data Pipeline
- ✓Deployable FastAPI Backend
Outcome
Build backend systems, APIs, and reusable engineering utilities.
PHASE 02
GenAI Systems Engineering
Transform software systems into intelligent AI systems.
Topics
- LLM APIs
- Prompt Engineering
- Structured Outputs
- Guardrails
- Validation Systems
- Embeddings
- Vector Databases
- Chunking Strategies
- Retrieval-Augmented Generation
- Memory Systems
Projects
- ✓Intelligent Document Assistant
- ✓Enterprise Knowledge Assistant
- ✓Retrieval-Augmented AI Application
- ✓AI Copilot Prototype
Outcome
Build production-grade AI applications powered by private knowledge.
PHASE 03
Agentic AI Systems
Move beyond chatbots and build autonomous AI systems.
Topics
- Agent Fundamentals
- Agent Loops
- Tool Calling
- Agent Memory
- Planner → Executor Architectures
- Multi-Step Reasoning
- Workflow Automation
- n8n Integration
- Multi-Agent Systems
Projects
- ✓Research Agent
- ✓Task Execution Agent
- ✓Workflow Automation Agent
- ✓Multi-Agent Collaboration System
Outcome
Design AI systems that think, plan, and take actions.
PHASE 04
Production AI Engineering
Build AI systems that survive real-world production environments.
Topics
- Logging
- Monitoring
- Tracing
- AI Evaluation
- Hallucination Detection
- Cost Engineering
- Caching
- Rate Limiting
- Security
- Responsible AI
- Production Architecture
Projects
- ✓Observable AI Pipeline
- ✓Production RAG System
- ✓Multi-User AI Platform
- ✓Production AI Architecture Design
Outcome
Design, monitor, optimize, secure, and scale AI systems in production.
WHAT MAKES THIS DIFFERENT
Most AI Programs vs Navrik Labs
Most AI Programs
- •Tool-focused
- •Prompt-focused
- •Chatbot-focused
- •Demo-focused
Navrik Labs
- ✓Systems-focused
- ✓Engineering-focused
- ✓Production-focused
- ✓Portfolio-focused
Students don't just learn AI. They build AI systems.
FINAL CAREER OUTCOMES
By the end of 100 days students will have:
- ✓12+ Industry Projects
- ✓Production AI Portfolio
- ✓GitHub Profile
- ✓RAG Systems Experience
- ✓Agentic AI Experience
- ✓Production AI Knowledge
- ✓System Design Skills
- ✓Deployment Experience
- ✓Architecture Documentation
- ✓AI Systems Engineering Portfolio
Built By Industry Experience
Learn From Industry Experience
Real-world perspective from years of building technology and business solutions — not textbook theory.
01
13+ Years Experience In IT
02
Technology + Business Experience
03
Real-World Project Perspective
04
GenAI Engineering Focus
Vision
Beyond Learning
Navrik Labs is building an ecosystem where learning, innovation, and product development come together.
Learn
↓
Build
↓
Contribute
↓
Innovate
↓
Create Impact
Discovery Session
AI Engineering Discovery Session
Explore the complete 100-Day Applied AI Systems Engineering Program, see the learning platform in action, and understand how real-world AI systems are built.
₹99 Registration Fee
Your ₹99 registration fee will be fully adjusted against the program fee if you decide to enroll.
What you'll see
- How modern AI systems are built
- Complete 100-Day learning roadmap
- Live LMS walkthrough
- AI systems engineering career pathways
- Portfolio-building strategy
- Live Q&A session
The Future Will Be Built By Builders
Join the movement. Learn AI. Build Real Projects. Create Real Impact.