🗺 Master AI Program — Full Roadmap

Your Complete Roadmap to
Becoming an AI Developer

Go from beginner to job-ready AI developer — with real-world projects companies actually hire for.

View Full Curriculum ↓

✅

90+ hrs
Hands-on Training

✅

15+
Production-Ready Projects

✅

40+
Real-World Use Cases

✅

5+
AI Apps (LLMs, RAG, NLP)
📍 Your Step-by-Step AI Career Roadmap

Step 01

🐍 Python Programming

Build a strong foundation to write efficient, production-ready code for AI systems.

View Full Syllabus
8 Modules Day 1 – 30 10+ Projects

What You'll Achieve

  • Write clean, scalable Python code
  • Work with real datasets
  • Build automation scripts
  • Master OOP for AI systems
  • Scrape and process web data
MOD 01
Python Fundamentals
Write your first working programs — variables, logic, and data types mastered.
Build a Mini Calculator App
VariablesData TypesOperatorsTypecasting
MOD 02
Control Flow & Loops
Implement any logic-based or repetitive task with confidence.
Build a Number Guessing Game
if-elsefor/whilebreak/continueNested loops
MOD 03
Functions & String Handling
Write reusable, modular code that's clean and maintainable.
Palindrome Checker / Word Counter
FunctionsRecursionParametersReturn Values
MOD 04
Data Structures
Manage, organize, and process any kind of data efficiently.
Contact Book / Frequency Counter
ListTupleSetDictionary
MOD 05
Comprehensions & Functional Python
Write compact, high-performance Pythonic code.
Temperature Converter / Score Pairing
List Comprehensionsmap/filterlambdazip
MOD 06
Exception & File Handling
Handle real-world I/O and runtime errors without crashing.
Log File Reader + Writer
try/exceptraisewith open()File I/O
MOD 07
Object-Oriented Programming
Build scalable, class-based Python applications like a pro.
Bank Account / Student System
ClassesInheritanceEncapsulationPolymorphism
Advanced MOD 08
Applied Python Projects
Automate real tasks and extract live web data.
File Automation + Live Web Scraper
File AutomationWeb ScrapingCSV Export

By this point, you can already build real-world automation scripts and data pipelines — the exact foundation every AI project ahead will rely on.

Ready to start?

Start your AI journey today — first 2 days are free.

Step 02

🧠 Machine Learning

Learn how machines learn from data — build prediction models used in real businesses.

View Full Syllabus
6 Modules Day 30 – 50 1 Capstone

What You'll Achieve

  • Predict sales, prices & demand trends
  • Classify data with 90%+ accuracy
  • Discover hidden customer segments
  • Deploy live ML apps via Streamlit
  • Tune models to peak performance
MOD 01
Data Visualization & Preprocessing
Turn raw, messy data into clean model-ready datasets.
EDA on Real Sales Dataset
MatplotlibSeabornScalingEncoding
MOD 02
Regression Models
Predict sales, pricing, and trends using real datasets.
Build your first prediction model
Linear RegressionPolynomialR²MLR
MOD 03
Classification Models
Detect spam, disease, fraud — make binary decisions at scale.
Spam Classifier / Cancer Detector
KNNSVMRandom ForestDecision Tree
MOD 04
Clustering — Unsupervised
Discover hidden patterns and segments in any dataset.
Customer Segmentation Model
K-MeansHierarchicalElbow Method
MOD 05
Model Validation & Optimization
Build models that work in the real world, not just on paper.
Tune RandomForest to peak accuracy
k-Fold CVGridSearchCVHyperparameter Tuning
Deploy MOD 06
Model Deployment
Ship your ML model as a live web app anyone can use.
Live Salary Predictor App
StreamlitFlaskFastAPI

🎓 Capstone Project

Customer Churn Prediction / House Price Predictor

End-to-end ML pipeline — Data Cleaning → EDA → Modeling → Deployment. Portfolio-ready.

CleaningEDAModelingStreamlit Deploy

By this point, you can build prediction models used in real businesses — and deploy them as live web apps.

Step 03

⚡ Deep Learning

Understand exactly how AI models like ChatGPT work — then build your own.

View Full Syllabus
4 Modules Day 45 – 65 1 Capstone

What You'll Achieve

  • Build neural networks from scratch
  • Train image recognition models
  • Understand how ChatGPT actually works
  • Deploy visual AI apps to the web
MOD 01
Introduction to Neural Networks
Understand the math and mechanics behind every AI model.
Build a Neuron using NumPy
Neuron StructureActivation FunctionsGradient Descent
MOD 02
Artificial Neural Networks (ANN)
Train deep networks that classify, predict, and learn at scale.
MNIST Digit Classifier
ArchitectureDropoutBatchNormOptimizers
MOD 03
Convolutional Neural Networks (CNN)
Build image recognition models — same tech as self-driving cars.
CIFAR-10 Image Classifier (VGG/ResNet)
Conv LayersFeature MapsPoolingResNet
Deploy MOD 04
Optimization & Deployment
Ship your deep learning model as a live shareable web app.
Streamlit Image Classifier App
TensorBoardStreamlitModel Saving

🎓 Capstone Project

Deep Learning Visual Recognition App

Train ANN + CNN on MNIST & CIFAR-10 — deployed as a production web app ready for your portfolio.

ANNCNNMNISTCIFAR-10Web Deploy

By this point, you understand how AI models like ChatGPT actually work — and you can build computer vision systems from scratch.

Our Learners Work At

Infosys
wipro
zoho
Freshworks
amazon
accenture
Cognizant
Capgemini
HCLHCLTech
razorpay

Halfway there

Build your first AI model now — join the next batch.

Step 04

💬 Natural Language Processing

Build intelligent text-based AI systems — from sentiment analysis to BERT-powered chatbots.

View Full Syllabus
5 Modules Day 55 – 75 1 Capstone

What You'll Achieve

  • Build spam detectors & chatbots
  • Fine-tune BERT for text classification
  • Deploy NLP APIs with FastAPI
  • Analyze sentiment across 1000s of reviews
MOD 01
Foundations of NLP
Clean and structure any text data for AI processing.
Text Cleaning + Entity Extraction
NLTKspaCyNLP PipelineGensim
MOD 02
Text Representation
Convert human language into numbers that models understand.
Sentiment Feature Extraction
TF-IDFWord2VecGloVeCountVectorizer
MOD 03
Transformers & BERT
Use the same architecture powering ChatGPT and Google Search.
BERT-based Text Classifier
Self-AttentionBERTFine-TuningEncoders
Advanced MOD 04
Applied NLP Projects
Build 3 real NLP systems — production-ready for your portfolio.
Spam Detector + Chatbot + Sentiment Analyzer
Email ClassificationTransformer ChatbotIMDb Sentiment
Deploy MOD 05
NLP Deployment
Make your NLP models production-ready and API-accessible.
Deploy Chatbot as a Web App
FastAPIStreamlitModel Saving

🎓 Capstone Project

Smart Email Assistant / AI Chat Companion

Preprocessing + classification + deployment — one complete intelligent assistant application.

PreprocessingBERTChatbotFastAPI Deploy

By this point, you can build intelligent text-based AI systems — chatbots, classifiers, and sentiment engines ready for production.

Step 05

✨ Prompt Engineering

Master the language of LLMs — control how AI thinks, responds, and reasons.

View Full Syllabus
5 Modules Day 60 – 75 2 Projects

What You'll Achieve

  • Control any LLM output with precision
  • Build production-ready prompt pipelines
  • Reduce AI hallucinations by 80%+
  • Automate complex workflows with LangChain
MOD 01
Foundations of Prompt Engineering
Craft prompts that consistently produce the exact output you need.
Zero-shot vs Few-shot Comparison Lab
Zero-shotFew-shotTemperatureContext Windows
MOD 02
Advanced Prompt Design Techniques
Make AI reason step-by-step through complex, multi-part problems.
Multi-step Reasoning Prompt Solver
Chain-of-ThoughtReActTree-of-ThoughtsRole Prompting
MOD 03
Prompt Engineering with APIs
Automate and scale prompts programmatically in production systems.
LangChain LLMChain Pipeline
OpenAI APILangChainPromptTemplateLLMChain
MOD 04
Evaluation, Refinement & Safety
Build prompts that are accurate, safe, and production-reliable.
Self-Checking Prompt System
Hallucination ReductionEval MetricsEthical Prompting
Advanced MOD 05
Applied Prompt Projects
Build two production-grade LLM-powered tools from scratch.
Email Rewriter + Code Debugger App
Role PromptingStyle ConditioningCoT

Almost there

You're 5 steps in. One track left — the most powerful one.

🔥 Most In-Demand AI Skill — 2024–2025

Build Production-Ready AI Applications

This is where everything comes together — RAG, LLMs, LangChain, and real deployable AI products that companies are actively hiring for right now.

🤖 ChatGPT-like Apps 📄 RAG Document Q&A 🧑‍💼 AI Copilots 🔍 Semantic Search 💬 AI Assistants 🗄 Natural Language → SQL

Step 06

🤖 Generative AI

Build intelligent, context-aware, LLM-driven applications — the most in-demand AI skill today.

View Full Syllabus
4 Modules Day 70 – 90 1 Capstone

What You'll Achieve

  • Build a ChatGPT-style assistant from scratch
  • Create RAG document Q&A systems
  • Compare GPT vs LLaMA vs Gemini live
  • Deploy enterprise-grade GenAI tools
  • Build Natural Language → SQL query engines
MOD 01
Foundations of GenAI
Understand and use the most powerful AI models available today.
Summarization App using OpenAI API
LLMsGPTClaudeLLaMATransformers
MOD 02
LangChain & AI Frameworks
Build modular, scalable GenAI workflows like a senior engineer.
'Ask the PDF' Chatbot
LangChainFAISSPineconeChromaLLMChain
MOD 03
Retrieval-Augmented Generation (RAG)
Build AI that answers from your documents with zero hallucinations.
RAG-based Document Q&A System
EmbeddingsRetrievalContext InjectionVector DB
Enterprise MOD 04
GenAI Projects — Enterprise Grade
Build 4 enterprise tools — the exact projects that impress hiring managers.
Summarizer + Resume Screener + Model Comparator + NL→SQL
RAGVector DBNL→SQLModel Benchmarking

🏆 Final Capstone

AI Knowledge Assistant — RAG + LangChain + LLM

Document Embeddings · Context Retrieval · Summarization · Chat Interface · Model Switching (GPT / LLaMA). A fully deployed conversational AI system.

Document EmbeddingsRAGLangChainChat UIModel Switching

By the end, you can build production-ready AI apps using LLMs — the exact skill set top companies are hiring for right now.

🎓 After 90 Days

What You'll Become

Not just a course certificate — a complete career transformation.

💼
Job-Ready AI Developer
Ready to apply for AI roles at top companies with proof of work.
🗂
Real Project Portfolio
5+ deployed AI apps — not just theory, real production systems.
🧠
Deep ML + LLM Knowledge
From regression models to RAG pipelines — you understand it all.
🚀
Production App Builder
Design, build, and deploy AI apps end-to-end independently.
🎯
Interview Confidence
Mock interviews, resume reviews, and career guidance included.

⚡ Next Batch Closing Soon — Limited Seats

Ready to Become
an AI Developer?

Join now and start building real-world AI systems from day one.

🔒 2-day risk-free trial · 30-day money back · No credit card required