Microsoft-AI-Classroom-Series

About the Program

• Microsoft AI Classroom series is an initiative by Microsoft in association with NASSCOM FutureSkills® and supported by GitHub to train 1M students over 12 months.
• The AI Classroom series is divided into three (3) easy to consume modules of 2.5 hours each; and includes live demos, hands-on experiments, and post session assignments to enable students to check their knowledge.
• Each module will be introduced by leading data scientists and AI influencers; followed by 2 hours of learning session and 30 minutes of live Q&A with subject matter experts.
• Two weeks of online support at no cost. Post the workshop series, students have access to online experts to address queries and to prepare for industry recognized AI certifications.
• This program is open to students enrolled in Indian universities and are residents of India.

Assessment & Certification

• Post the workshop completion, each student will receive an assessment link for knowledge check and to collect the participation certificate
• The assessment is designed as multiple-choice questions. You have 20 minutes to answer 30 questions
• You will get 3 attempts to clear this assessment
• The assessment link will be live between September 28 to October 10, 2020
• You have to score 80% or more to pass and download your “Microsoft AI workshop | September 2020” participation certificate
• The certificate will be a joint certificate offered by Microsoft and NASSCOM FutureSkills®
• Share your certificate on social media and tag #AlwaysLearning. Be a proud member of the AI Skilled community

Pre-requisites

If you need support to activate any of the following resources, please write in to [email protected] To make the most of your learning sessions and gain practical knowledge via lab exercise, please activate the following pre-requisites:

1. Environment Setup (VS Code Jupyter Notebooks)

   • Visit https://code.visualstudio.com/download and download VS Code as per your machine configuration and then install Python 3. Follow this link for installation https://www.python.org/downloads/
   • Next, open VS Code Editor and install Python, Jupyter, IntelliCode extension and restart it.
   • Go to extension section (left side menu) and search for these extensions. Now to create a new Jupyter Notebook you need to press CTRL + Shift + P and run this command Python: Create Blank New Jupyter Notebook. Once you do this a Jupyter notebook will get created automatically.

2. Azure Student Subscription

   • Visit https://azure.microsoft.com/en-in/free/students/ and click on Activate Now. If you don’t have an account, click on Create New and follow the steps
   • NOTE: Provide your Institute ID to access Azure for Students Subscription

3. Azure ML Studio Classic Subscription

   • Visit https://studio.azureml.net/ and Sign In

4. GitHub Account

   • Click here to login into your account https://github.com/login
   • To create a new account, visit https://github.com/. Click on Sign Up and follow the steps.
   • You will receive an email from GitHub. Verify Email Address to activate your account

5. GitHub Student Developer Pack

   • Visit https://education.github.com/packto get started
     
     

Module 1 : Data Science Basics and Introduction to Microsoft AI Platform

Date : Sept 24 2020
Time slot : 08:00 PM - 10:30 PM | (GMT+05:30) Chennai, Kolkata, Mumbai, New Delhi

Lecture 1 : Tips for being a better Data Scienctist

Speaker : Ganes Kesari | Co-founder & Cheif Decision Scientist, Gramener | LinkedIn

• Tip 1: Sharpen your ability to handle data.
• Tip 2: Techniques are more important than the tools.
• Tip 3: Master the application of techniques.
• Tip 4: Learn secondary skills to stand out from the crowd.
  
  

Lecture 2 : Data Science Basics and Introduction to Microsoft AI Platform

Speaker : Bhavesh Goswami | Founder & CEO, CloudThat | LinkedIn

• Data Science Life Cycle
• Data Nomenclature
• Types of Algorithms
  • Supervised
  • Unsupervised
  • Semi-supervised
• Algorithms
  • Regression (Supervised)
  • Clustering (Unsupervised)
    • K-means
  • Classification (Supervised)
    • Decision Tree
  • Neural Network (Mostly Supervised)
    • Artificial Neural Network
• Responsible AI

Before going into module 1, read this for better understanding.
You can access module 1 Lecture notes here.

Module 2 : Data Science Basics and Introduction to Microsoft AI Platform

Date : Sept 25 2020
Time slot : 02:00 PM - 04:30 PM | (GMT+05:30) Chennai, Kolkata, Mumbai, New Delhi

Speaker : Sandeep Alur | Director Microsoft Technology Center | LinkedIn

• Intro to the Azure AI/ML platform.
• Intro to Azure Machine Learning Service.
• No-code or low-code development environment.
• Automated ML
• Visual Designer

Before going into module 2, read this for better understanding.
You can access module 2 Lecture notes here.