AI Tutorials in Hindi
Artificial Intelligence From Scratch
Learn It — Completely Free
Machine Learning, Deep Learning and Generative AI — explained in simple Hindi, with real examples. No paid course needed.
๐ Full Course — At a Glance
How This Works
Learn AI in three simple steps — from theory to career.
Read
Beginner-friendly tutorials — concepts explained clearly in Hindi.
Build
Write Python code, build real projects.
Get Hired
Interview prep and a career roadmap to become an AI Engineer.
๐ค AI Basics
What AI is, how it works, its history and types — start here.
๐LiveWhat is AI?
Definition, history, importance — for beginners.
๐LiveAI vs ML vs DL
A clear, simple difference between the three terms.
⚙️LiveHow Does AI Work?
Data, training, prediction — explained step by step.
๐ฅLiveAI Applications
AI in healthcare, finance, education, gaming.
๐LiveAI History
The full journey from 1950 to 2026.
⚡LiveTypes of AI
Narrow AI, General AI, Super AI — explained.
๐ Machine Learning
Teach machines to learn from data — algorithms with Python implementation.
ML Introduction
What ML is and how it works.
Linear Regression
Price prediction, continuous output.
Logistic Regression
Classification problems, probability.
Decision Trees
Tree-based decision making — easy to understand.
Random Forest
Ensemble method — better accuracy.
K-Means Clustering
Unsupervised learning — grouping data.
SVM
Support Vector Machine — classification.
Model Evaluation
Accuracy, precision, recall, F1-score.
๐ง Deep Learning
Neural networks — the brain of AI, implemented with TensorFlow and PyTorch.
Neural Networks Intro
Neurons, layers, activation functions.
CNN
Convolutional Networks — for images.
RNN & LSTM
Sequential data, time series prediction.
Backpropagation
How a model learns — explained simply.
TensorFlow Basics
Google's DL framework — step by step.
PyTorch Basics
Meta's DL framework — a research favorite.
๐ฌ NLP — Natural Language Processing
Teach machines to understand human language — from text processing to chatbots.
NLP Introduction
What language AI is and how it works.
Text Preprocessing
Tokenization, stemming, lemmatization.
Sentiment Analysis
Detecting positive/negative reviews.
Building a Chatbot
Build a simple AI chatbot in Python.
Named Entity Recognition
Auto-detecting names, places, dates.
Word Embeddings
Word2Vec, GloVe — turning words into numbers.
✨ Generative AI
ChatGPT, Gemini, Claude — learn the technology behind them, and build your own.
What is GenAI?
Generative AI basics, types, use cases.
How Do LLMs Work?
GPT-4, Gemini, Claude — understood from the inside.
Transformers Architecture
Attention mechanism, encoder-decoder.
Prompt Engineering
How to get the best output from AI.
Fine-tuning LLMs
Training a model on your own data.
RAG
LLM + your own knowledge base — a powerful combo.
Image Generation AI
How Stable Diffusion and DALL-E work.
AI Agents
Autonomous AI systems — the future of AI.
๐️ Computer Vision
Teach machines to see — image recognition, object detection, face detection.
๐ ️ AI Tools & Frameworks
Industry-standard tools every AI developer should know.
Machine Learning
Deep Learning
GenAI & LLM
Data & Visualization
⚖️ AI Ethics & Responsible AI
AI is powerful — using it responsibly matters just as much.
๐ AI Projects
After the theory — real projects for your portfolio that help you land a job.
House Price Predictor
Linear Regression — beginner friendly.
Sentiment Analyzer
Classify reviews as positive/negative.
Image Classifier
Categorize photos with a CNN.
AI Chatbot
Build a chatbot with LangChain + OpenAI API.
Stock Price Predictor
Time series prediction with LSTM.
Disease Detector
AI diagnosis from medical images.
๐ฏ Quiz & Interview Questions
Practice and crack your AI/ML interview — for freshers and experienced professionals alike.
AI Basics Quiz
Fundamentals MCQs — test your basics.
ML Quiz
Algorithms, metrics, ML concepts.
Deep Learning Quiz
Neural networks, CNN, RNN MCQs.
GenAI Quiz
LLMs, transformers, prompting MCQs.
Top 50 Interview Q&A
For freshers and experienced professionals alike.
AI Coding Challenges
Practical problems with solutions.
๐ผ AI Career Guide
How to land a job in AI — roles, salaries, roadmap and tips.
AI Engineer Roadmap
How to become an AI Engineer in 2026 — a complete guide.
ML Engineer vs Data Scientist
The difference between the two roles, salary and skills.
AI Resume Tips
How to build a portfolio and resume.
Freelancing with AI
AI projects on Upwork/Fiverr — an earning guide.
Learning Roadmap
Master AI in 5 phases, one after another.
Frequently Asked Questions
Clear these doubts before you start.
Start Today
It's free, in Hindi, and step-by-step. Take the first step now.