Artificial Intelligence

Artificial Intelligence

Artificial Intelligence

Artificial Intelligence is no longer the future — it’s the present. From self-driving cars to chatbots and recommendation systems, AI is transforming industries across the globe.
At DataTeach.ai, our AI Course is built for learners who want to be at the forefront of this revolution. Whether you're a student, engineer, or tech enthusiast, this course will equip you with the tools and mindset to build intelligent systems from scratch.

Duration

160+hrs

Course Fee

₹ 20000

Available Seats

30

Mode

Offline/Online

Download Brochure

Course Features

Anyone

Can learn (IT/Non IT)

4.8+

Course Rating

1000+

Learners

Lifetime

Course Access

1 time

Payment

160Hrs+

Content Duration

Simple English

Language

Live Training

Offline/Online

Course Curriculam

  • Introduction
  • Data Types & Data Structures
  • Control Flow & Conditional Statements
  • Functions and Modules
  • Class and Objects
  • File Handling
  • Numpy - Numerical Python
  • Data Manipulation with Pandas
  • Data Visualization Using Matplotlib And Seaborn
  • Exploratory Data Analysis (EDA)
  • UNSTRUCTURED DATA PROCESSING
  • Project (web - scraping)
  • Introduction to Basic Database Concepts
  • Introduction to SQL
  • Writing Basic SQL Statement
  • Restricting and Sorting Data
  • Advance DDL Commands
  • Working on DML statements
  • Use of built-in function in SQL
  • Working on multiple tables and Retrieve records from multiple tables
  • Working on subqueries
  • Python with MYSQL
  • Introduction to Machine learning
  • Types of machine learning
  • Classification Algorithms
  • Regression Algorithms
  • Clustering Algorithms
  • Model Building
  • Model Evaluation
  • Model Deployment
  • Introduction to Deep Learning
  • Neural Network Architecture and Activation Functions
  • Forward and Backward Propagation
  • Optimizers
  • Keras Hands-on - Regression and Classification
  • Intro to Images and Image Preprocessing with OpenCV
  • Image Preprocessing with OpenCV
  • Intro to Convolutional Neural Network
  • Image Classification Case Study
  • CNN Architecture
  • Transfer Learning
  • Case Study with Transfer Learning
  • Object Detection
  • YOLO - Case Study
  • Introduction to text and Text Preprocessing with nltk and spacy
  • Vectorization Techniques
  • Project - Text Classification
  • RNNs
  • Project - Sequence Tagging
  • LSTMs
  • Auto Encoders
  • Project - Auto Encoders
  • Transformer and Attention
  • BERT
  • Intro To Gen AI
  • Intro To LLM
  • Prompt Engineering and Working with LLM
  • Open AI

Sample Certificate

DT Sample Certificate