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

    • 1.4Data types

    • 1.3 Basic,Number,string

  • 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

    Live Session Meeting Links

    • 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
  • 9

    Microsoft Content-Azure AI Fundamentals (AI-900)

    • 01_Introduction
  • 10

    M01_Azure AI Fundamentals

    • M01_Fundamentals

    • M01_Azure AI Fundamentals

    • M01_Responsible AI

    • M01_Responsible AI
  • 11

    M02_Azure ML

    • M02_ML
  • 12

    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
  • 13

    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
  • 14

    M05_AzureKnowledgeMining

    • 5.1 Knowledge Mining
  • 15

    Live Sessions Links

    • First Live Session- Aug 10, 2022 08:00 PM

    • 2nd Live Session-Aug 11, 2022 08:00 PM

    • 3rd Live Session- Aug 12, 2022 08:00 PM

    • 4th Live Session- Aug 13, 2022 08:00 PM

    • 5th Live Session-Aug 15, 2022 08:00 PM

    • Internship orientation meeting- Sep 10, 2022 08:00 PM

    • Internship Project -Fashion MNIST Data Classification
  • 16

    Live Sessions Recordings

    • SESSION-1

    • SESSION-2

    • SESSION- 3

    • SESSION-4

    • SESSION-5

    • Internship Orientation Meeting Recordings

    • Fashion MNIST LIVE SESSION RECORDINGS
  • 17

    Internship Project -Fashion MNIST Data Classification

    • Fashion MNIST Data Classification

    • Deep learning project
  • 18

    Internship project submissions

    • Internship Project Submissions