Artificial Intelligence with Python

Learn the fundamentals on how to make machines that can perceive, reason and perform intelligent tasks like an intelligent human being.

13/60 Seats
DURATION

2 months

SKILL

Beginner

LECTURES

30 Hrs Live Sessions

ENROLLED

47

  • Program Duration: 3.5 Months
  • 25+ Hours of content
  • 4 Major Projects
  • Live Sessions During Project Execution & Training
  • Microsoft Certification
  • Internship Offer Letter
  • Internship Completion Certificate
  • Project Report
  • Fee is applicable only for the platform and Microsoft certification examination
  • Program Duration: 2 Month
  • 2 Major Projects
  • 30+ Hours of content
  • Internship Offer Letter
  • Internship Completion Certificate
  • Program Completion Certficate
  • Fee is applicable only for the platform

What Will I Learn?

  • Basic and Advanced Python
  • Concept of Statistics
  • Conceptualisation and working of Machine Learning
  • Artificial Intelligence and Neural Networks
  • Introduction to LSTM
  • Capstone Project

Career Options

  • Machine Learning Engineer
  • Data Scientist
  • Business Intelligence Developer
  • Research Scientist
  • Big Data Engineer
  • Big Data Architect
Program Description

This course will kick start your learning of Artificial Intelligence with self-paced videos, hands-on projects, guided sessions to provide quality learning and projects that will help you to master Artificial Intelligence. This program offers in-depth exposure to concepts and technologies like Python, Statistics, Machine Learning, and concepts of LSTM will help you to get an exciting career.
Pre-Rrequisite

  • A PC/Mobile phone to attend the class
  • A stable internet connection of at least 1Mbps (Recommended: 2 Mbps)
  • Headphone and Microphone
  • A quiet room or surrounding to attend the class.
Certification

Program Index

Chapter 1 - Introduction to Artificial Intelligence
  • 1.1-Python Crash course Introduction

  • 1.2 Python Intro and Installation

  • 1.3 Basic,Number,string

  • 1.4 Data types

Chapter-2 Introduction to Python
  • 2.1 Introduction to Python

  • 2.2 Introduction to Python Programming

  • 2.3 Basis of Python Programming

  • 2.4 Python Programming - 1

  • 2.5 Python Programming - 2

Chapter 3- Introduction to Matplotlib
  • 3.1 Introduction to Matplotlib

  • 3.2 Matplotlib Plots

  • 3.3 Matplotlib Styles - 1

  • 3.4 Matplotlib Styles - 2

  • 3.5 Matplotlib Plots Variants

Chapter 4- Introduction to Numpy
  • 4.1 Introduction to Numpy

  • 4.2 Numpy Types

  • 4.3 Numpy Arrays

  • 4.4 Numpy Array Attributes

  • 4.5 Numpy Math

Chapter 5- Introduction to Pandas
  • 5.1 Introduction to Pandas

  • 5.2 Pandas Reading Data

  • 5.3 Pandas Dataman - 1

  • 54 Pandas Dataman - 2

  • 5.5 Pandas Dataman - 3

Chapter 6 -Introduction to Machine Learning _ Unsupervised Learning
  • 6.1 Introduction to Machine Learning_UnSupervised Learning

Chapter 7 - Intro to Tensorflow
  • 7 Introduction to Tensorflow

  • 7.1 Introduction to Keras

  • 7.2 Clustering

  • 7.3 Introduction to Deep Learning

  • 7.4 Natural Language Processing

  • 7.5 Reinforcement Machine Learning

PROJECTS
  • News Classification using Natural Language Processing

  • Landmark Detection

  • Vision Transformer
  • Program Duration: 3.5 Months
  • 25+ Hours of content
  • 4 Major Projects
  • Live Sessions During Project Execution & Training
  • Microsoft Certification
  • Internship Offer Letter
  • Internship Completion Certificate
  • Project Report
  • Fee is applicable only for the platform and Microsoft certification examination
  • Program Duration: 2 Month
  • 2 Major Projects
  • 30+ Hours of content
  • Internship Offer Letter
  • Internship Completion Certificate
  • Program Completion Certficate
  • Fee is applicable only for the platform