Microsoft   Artificial Intelligence Course

Artificial Intelligence (AI) will define the next generation of software solutions.


Human-like capabilities such as understanding natural language, speech, vision, and making inferences from knowledge will extend software beyond the app.


Job Opportunities

 Job opportunities with the help of a Microsoft Global Employment Manager


12-48 Hours per week



Microsoft Professional Program Certificate in Artificial Intelligence


Online and Mentoring + Live Lectures


  • Job opportunities with the help of a Microsoft Global Employment Manager.

  • Industry-driven comprehensive curriculum

  • 1-1 Mentoring - Mentor as a Service

  • 24/7 access to study material & video lectures

  • Live interactions with experts

  • Real-world Projects & Case Studies

  • Artificial Intelligence Capstone Project

About Us

  • First  Microsoft partner in India for MPP program delivery and certification.

  • Over 2,50,000 users learning online through our different training channels.

  • The only ed-tech company in India to have presence on Mobile, TV and PC with a total reach of 50 million.

  • Offering Industry relevant 21st Century skills for employment.

Program Overview

Program Overview.png

The Millionlights- Microsoft Professional Program in Artificial Intelligence will enable you to:

  • Accelerate your career in one of the hottest fields – Artificial Intelligence

  • Learn Artificial Intelligence fundamentals, key AI topics like Speech Recognition, NLP, and Deep Learning from the industry and academic experts in this unique program created by Microsoft.

  • Develop all the required skills you need to take advantage of 58 million career opportunities that will be created by the end of 2022.

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Program Structure and Format


​Program Structure

  • The AI track takes aspiring AI engineers from a basic introduction of AI to mastery of the skills needed to build deep learning models for AI solutions that exhibit human-like behavior and intelligence.

    Recorded videos in every course, and can be completed at you own pace and practice questions to make sure the topic is understood well.

  • Interactive live lectures and query solving sessions  by industry specialists in Artificial Intelligence.

  • The MPP AI Certificate will be awarded when you achieve a 70% pass rate and obtain a verified certificate for all the 9 courses and complete the capstone project.

  • Guided lab sessions with instructors for hands on practice on various platforms/technologies covered in the program.

Program Details

Program Details: 9 courses + Final Project

Effort: 16 - 32 hours per course

The student needs to complete all the 9 courses along with the labs, assessments and the Capstone project, to be eligible for the MPP Certificate.

Skills Required:

Though, there is no particular prerequisite to learn AI, you will be able to do very well, if you have these basic skills:

  • Basic Programming Languages like C, C++ and Java 

  • High level Programming Language i.e. Python, R or any other

  • Mathematics like Calculus, Probability, Matrices and Statistics.

  • Computer Science.


Who Can Learn:

  • Any professional from Software development background. 

  • Engineering or Non-Engineering aspirants wanting to specialize in Artificial Intelligence

  • Maths students who want to research in Artificial Intelligence and Robotics

  • Managers from Analytics background and those who are leading a team of Analysts .

  • Practicing professionals  who wish to update themselves on AI technologies


Course Curriculum

Module 1

: Introduction to Artificial Intelligence (AI)

  • Introduction
  • Machine Learning
  • Language and Communication
  • Computer Vision
  • Conversation as a Platform
  • Learning More

Module 2

: Introduction to Python for Data Science

  • Python Basics
  • List - A Data Structure
  • Functions and Packages
  • Numpy
  • Plotting with Matplotlib
  • Control Flow and Pandas

Module 3

Essential Math for Machine Learning: Python Edition

  • Equations, Graphs, and Functions
  • Derivatives and Optimization
  • Vectors and Matrices
  • Statistics and Probability

Module 4

Ethics and Law in Data and Analytics

  • Data, Ethics, and Law
  • Data, Individuals, and Society
  • Data Ethics and Law in Business
  • Artificial Intelligence and Future Opportunities

Module 5

Data Science Research Methods: Python Edition

    • Introduction
    • The Research Process
    • Planning for Analysis
  • Research Claims
    • Measurement
    • Correlational and Experimental Design

Module 6

: Principles of Machine Learning: Python Edition

  • Introduction to Machine Learning
  • Exploring Data
  • Cleaning and Preparing Data
  • Getting Started with Supervised Learning
  • Improving Model Performance
  • Machine Learning Algorithms
  • Unsupervised Learning

Module 7

Deep Learning Explained

  • Introduction and Overview
  • Multi-class Classification using Logistic Regression
  • Multi-Layer Perceptron
  • Convolution Neural Network
  • Text Classification with RNN and LSTM

Module 8

: Reinforcement Learning Explained

  • Introduction to Reinforcement Learning
  • Bandits
  • The Reinforcement Learning Problem
  • Dynamic Programming
  • Temporal Difference Learning
  • Function Approximation
  • Policy Gradient and Actor Critic

Module 9

A. Computer Vision and Image Analysis

  • Introduction And Overview
  • Image Features And Classical Methods
  • Object Classification And Detection
  • Deep Segmentation And Transfer Learning

B . Speech Recognition Systems

  • Course Introduction
  • Background and Fundamental Theory
  • Speech Signal Processing
  • Acoustic Modeling
  • Language Modeling
  • Speech Decoding
  • Advanced Acoustic Modeling Techniques

C . Natural Language Processing (NLP)


Introduction to NLP. Neural Models for Machine Translation and Conversation Generation

Deep Semantic Similarity Model and Its Applications DSSM

Natural Language Understanding

Deep Reinforcement Learning Vision-Language Multimodal Intelligence

Module 10

Microsoft Professional Capstone: Artificial Intelligence


Learning Outcome:

  • Upon successful completion of the course, students will be able to: describe how machine learning provides the foundation for AI

  • Leverage cognitive services in developing app; build and derive insights using machine learning models in problem spaces such as classification, regression, and clustering.

  • Solve image classification problem using deep learning models such as convolution neural network (cnn); forecast time series data and process sequential data using deep learning models such as recurrent neural network (rnn) and long short term memory (lstm); frame reinforcement learning problems and solve them using algorithms such as dynamic programming, temporal difference learning.

  • Deep q learning, policy gradient and actor-critic; apply classical image analysis techniques, such as  edge detection,  watershed and distance transformation as well as k-means clustering to segment a basic dataset.

  • Apply deep learning models to solve machine translation and conversation problems

  • Complete and solve a real-world artificial intelligence challenge. 


Career Paths

​AI Job Roles:

  • Research Scientists

  • Machine Learning Engineers

  • Robotics Technician 

  • Business Intelligence Developer

Artificial Intelligence  

  • AI-driven organizations are creating the role of AI engineer, AI Specialist etc. These are people who can who can perform multiple tasks of data engineering, data science, and software development. They understand how to extract data efficiently from a various source, build their own machine learning models, and deploy those models using AI-infused applications.


Job Titles

The popular job titles in the field of Artificial Intelligence

  • Research Scientists

  • Machine Learning Engineers

  • Scientists

  • Robotics Technicians



  • The evaluation of the program is based on completion of assessments in each course as well as the Capstone Project.



Each module contains  graded assignments. You have to  complete the assessments and labs available

  • Some courses contains lab assignments. You can progress through the course at your own speed.

  • Assess your progress with grade/score of each assignment that contributes to the overall grade.

  • The overall passing percentage for each course is 70%, including the lab assessments.

  • The student has to pass in all courses and successfully complete the capstone project to be eligible for the MPP Certificate.


Capstone Project

  • Microsoft Professional Capstone : Artificial Intelligence

  • You will get an opportunity to showcase your AI knowledge and skills and solve a real-world AI  problem by doing the  Microsoft Professional Capstone.

  • The project takes the form of a challenge in which you will explore a dataset and develop a machine learning solution that is tested and scored to determine your grade.


Career Assistance

  • We work with  a Microsoft Global Employment Manager  who helps us identify companies actively looking for new age skill sets. We pass on those requirements to our learners.

  • Our career support team will counsel you on the right career path and also help you prepare for the role.

  • Get specific inputs on updating your resume structure, content and receive personalized feedback to improve on it

  • Interview readiness session to help you to prepare for interviews

  • We conduct 1-1 mock interviews based on the role you wish to apply for and provide you with feedback.

Note: We don’t provide any 100% Job Guarantee


Job Assistance Related

3.How long will I get support for Job Assistance?

We provide job assistance for 3 months after your course completion.

1. What is the Job Readiness Program?

We work with a Microsoft Global Employment Manager who helps us identify companies actively looking for new age skill sets. Our career support team will counsel you on the right career path and also help you prepare for the role of your interest Get specific inputs on updating your resume structure, content and receive personalised feedback to improve on it interview readiness session to help you to prepare for interviews We conduct 1-1 mock interviews based on the role you wish to apply for and provide you with feedback. Note: We don’t provide any 100% Job Guarantee

2. What is the eligibility for job assistance program?

You should have completed the course with a minimum score of 70%. You should have completed all assignments and case studies. You should have successfully completed the capstone project.

4. Will I get referral for jobs?

We will assist in finding job.

Note: We don’t provide any 100% Job Guarantee.

Real Time Projects

1. What is the AI capstone project?

It's the culmination of what you've learned that shows prospective employers what you can do based on real-world experience. You'll apply the knowledge and skills you’ve gained throughout MPP to solve a real-world AI problem. Not only is it the final assessment for completing the program, but it's the beginning of what you'll do next.