Masters in AI & Machine Learning

Masters in AI & Machine Learning program is to become a certified Artificial Intelligence Engineer. Artificial intelligence (AI) & Machine Learning (ML) have been the core research techniques in computer science and in recent years an emergence in research and computational power has made AI development more accessible for developers.

Enrolment validity: Lifetime

About This Course

Masters in AI & Machine Learning certification course is ideal for working professionals with programming knowledge. It covers key concepts like Artificial Intelligence, Statistics, Machine Learning, Deep Learning, NLP, and Reinforcement Learning.

This is an Artificial Intelligence & Machine Learning Masters program that is a comprehensive learning approach for mastering the domains of Artificial Intelligence, Data Science, Business Intelligence, Python coding and Deep Learning. This training program enables you to take on challenging roles in the Artificial Intelligence domain.

The AI courses will make students industry-ready for Artificial Intelligence and Data Science job roles.Upon completion of this AI Engineer Program, you will receive the certificate from our side in the Artificial Intelligence courses on the learning path. This certificate will testify to your skills as an expert in Artificial Intelligence.

You must take an assessment exam to obtain a globally recognized final certificate, and this exam comes at a cost of $172.

The current and future demand is stumbling. According to the New York Times reports candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, and earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for AI Engineers with the required skills.

  • Statistics
  • Python
  • Supervised Learning
  • Unsupervised Learning
  • NLP
  • Neural Networks
  • Computer Vision
  • Keras
  • Tensorflow
  • Reinforcement Learning
  • NumPy

  • Machine Learning Engineer
  • Deep Learning Engineer
  • NLP Engineer
  • Artificial Intelligence Engineer
  • AI Architect
  • Technical Product Manager
  • Data Scientist

In this Masters Course, you will get total 5 real time scenario based projects to work on, as part of these projects, we would help our participant to have first hand experience of real time scenario based software project development planning, coding, deployment, setup and monitoring in production from scratch to end. We would also help you to visualize a real development environment, testing environment and production environments.

Learning Objectives

Well Understanding of the meaning, purpose, scope, stages, applications, and effects of Artificial Intelligence.
Build and design your own intelligent agents, applying them to create practical Artificial Intelligence projects.
Skills to master the essential concepts of Python programming.
How to write your own Python scripts and perform basic hands-on data analysis using Jupyter notebook.
In-depth understanding of Data Science processes: data wrangling, data exploration, data visualization, hypothesis building, and testing.
Perform high-level mathematical and technical computing using the NumPy and SciPy packages and data analysis with the Pandas package.
Master the skill to understand the concepts of supervised and unsupervised learning models, including linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline, recommendation engine, and time series modeling.
Master your skills on advanced topics in Artificial Intelligence, like convolutional neural networks, recurrent neural networks, training deep networks, and high-level interfaces.


  • Understanding of the fundamentals of Python programming
  • Basic knowledge of statistics

Target Audience

  • Developers who are aspiring to be an Artificial Intelligence Engineer or Machine Learning Engineer
  • Analytics Managers who are leading a team of analysts
  • Information Architects who want to gain expertise in Artificial Intelligence algorithms
  • Analytics professionals who want to work in machine learning or artificial intelligence
  • Freshers and Graduates looking to build a career in Artificial Intelligence and machine learning
  • Professionals who would like to tackle Artificial Intelligence in their fields to get more insight


27 Lessons150h

Artificial Intelligence

Introduction to Artificial Intelligence
Search Problems
Constraint Satisfaction Problems
Adversarial Problems
Reinforcement Learning

Data Science Tool kit

Machine Learning

Developing Solutions

Natural Language Processing

Deep Learning



Duration 150 hours
27 lectures

Material Includes

  • 11 months, Online Self Paced
  • 150+ Hrs Learning Aids
  • Downloadable content includes E-books, Scratch Cards etc
  • Practical Exercises/Module Tests/Assessments/Projects
  • Individual Course Completion Certificate
  • Masters in AI & ML Program Certificate