Course curriculum

  • 1

    Chapter 1 - Introduction to Artificial Intelligence

    • 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
  • 2

    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
  • 3

    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
  • 4

    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
  • 5

    Chapter 5- Introduction to Pandas

    • 5.1 Introduction to Pandas

    • 5.2 Pandas Reading Data

    • 5.3 Pandas Dataman - 1

    • 5.4 Pandas Dataman - 2

    • 5.5 Pandas Dataman - 3
  • 6

    Chapter 6 -Introduction to Machine Learning _ Unsupervised Learning

    • 6.1 Introduction to Machine Learning_UnSupervised Learning
  • 7

    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
  • 8

    Microsoft Content-Azure AI Fundamentals (AI-900)

    • 01_Introduction
  • 9

    M01_Azure AI Fundamentals

    • M01_Fundamentals

    • M01_Azure AI Fundamentals

    • M01_Responsible AI

    • M01_Responsible AI
  • 10

    M02_Azure ML

    • M02_ML
  • 11

    M03_AzureCV

    • M03_Analyze Images with CV

    • M03_Analyze Images with CV

    • M03_Classify Images with CV

    • M03_Classify Images with CV

    • M03_Detectand Analyze Face with Face service

    • M03_Detect and Analyze Face with Face service
  • 12

    M04_AzureNLP

    • 4.1 Azure Bot

    • 4.2 Conversational Language Understanding

    • 4.3 NLP

    • 4.4 Recognize and Synthesize Speech 

    • 4.5_Translate Text and Speech
  • 13

    M05_AzureKnowledgeMining

    • 5.1 Knowledge Mining
  • 14

    Extra Content for AI 900

    • 1 Artificial Intelligence Workloads and Considerations

    • 2- Fundamental Principles of Machine Learning on Azure

    • 3. Features of Computer Vision Workloads on Azure

    • 4.Features of Natural Language Processing (NLP) Workloads

    • 5.Features of Conversational AI Workloads on Azure
  • 15

    Live Session Meeting Links

    • First Live Session- Jul 7, 2022 08:30 PM

    • 2nd Live Session-Jul 11, 2022 08:30 PM

    • 3rd Live Session- Jul 14, 2022 08:30 PM

    • 4th Live Session- Jul 19, 2022 08:30 PM

    • 5th Live Session- Jul 22, 2022 08:30 PM

    • AI-Celebrity Image Classifier - Internship Project Meeting Link
  • 16

    Live Sessions recordings

    • SESSION-1-07-07-2022

    • SESSION-2 11-07-2022

    • SESSION-3 14-07-2022

    • SESSION-4 19-07-2022

    • Session 5- 22-07-2022

    • Internship Project Session recordings
  • 17

    Internship orientation meeting Link

    • Meeting Link- Aug 17, 2022 07:00 PM

    • Orientation Meeting Recordings

  • 18

    Celebrity Image Classifier - Internship Project

    • Celebrity Image Classifier _Project

    • Data Set - CIC
  • 19

    Internship Project Submissions

    • Internship Project Submissions