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Master’s in Artificial Intelligence in USA

1,282 Ratings

Get a master’s in Artificial Intelligence in the USA from Intellipaat and become a certified Artificial Intelligence Engineer. Under the guidance of our expert instructors, you can strengthen your knowledge in ANNs, Deep Learning, Machine Learning, etc. You will also receive 24/7 support and work on industry-grade projects during the MS in Artificial Intelligence course.

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Key Highlights

210 Hrs Instructor Led Training
178 Hrs Self-paced Videos
286 Hrs Project & Exercises
Certification
Job Assistance
Flexible Schedule
Lifetime Free Upgrade
Mentor Support
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MS in Artificial Intelligence in the USA Overview

What modules will be taught in this Artificial Intelligence Master's Program in the USA?

  • Artificial Intelligence: Introduction
  • Data Analytics with Python
  • Tableau: Dashboard and reports
  • Using R statistical computing for Data Science
  • Building statistical models
  • MS Excel calculations, formulae, and tables
  • How do Data Science and AI overlap?
  • Developing artificial neural networks
  • Deep Learning using TensorFlow
  • Designing Machine Learning systems

You don’t need to have prior skills to enroll in this AI Master’s in the USA program.

  • Data Science Aspirants
  • BI Experts
  • Software Engineers
  • Data Analysts
Source Information
LinkedIn 37,000+ job openings for AI professionals in the United States
Glassdoor Average pay of an AI expert is US$114,000/year in the United States
Analytics Insight The USA is readily embracing Artificial Intelligence
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Career Transition

57% Average Salary Hike

$1,14,000 Highest Salary

12000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Who can apply for the course?

  • Anyone aiming to start a career as an AI Engineer
  • Business Intelligence Professionals
  • Data Analysts
  • Software Engineers
  • Freshers and Undergraduates can apply for the course as well
who-can-apply

What roles does an AI Engineer play?

AI Engineer

Develop strategies on technologies, frameworks, and infrastructure that could help in creating AI solutions.

Data Scientist

Assess and validate the Artificial Intelligence models using tuning and model fit testing.

Research Engineer

Develop robust optimization algorithms for numerous applications built on Artificial Intelligence.

Machine Learning Engineer

Use Machine Learning tools and techniques to create statistical models consisting of large volumes of data.

Artificial Intelligence Consultant

Scale and prototype the latest Machine Learning and Artificial Intelligence solutions in the cloud environment in order to meet the business requirements.

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Skills to Master

Artificial Intelligence using Python

Data Science with R

Machine Learning

Business Analytics

Business Intelligence

TSA

SVM

Neural Networks

Graph visualization

Keras

Deep Learning with TensorFlow

Natural Language Processing

Excel

Tableau

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Tools to Master

python jupyter numpy Scipy R tensorflow excel tableau AWS EC2 S3
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Course Fees

Self Paced Training

  • 178 Hrs e-learning videos
  • Flexible Schedule
  • Lifetime Free Upgrade

$562

Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 210 Hrs of Instructor-led Training
  • One to one doubt resolution sessions
  • Attend as many batches as you want for Lifetime
  • Job Assistance
06 Jul

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

09 Jul

TUE - FRI

07:00 AM TO 09:00 AM IST (GMT +5:30)

14 Jul

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

20 Jul

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

$1,036 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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Artificial Intelligence Master's Program Content

Live Course Self Paced

Python

42 Hours 12 Module

Preview

Module 01 – Python Environment Setup and Essentials
Module 02 – Python language Basic Constructs
Module 03 – OOP concepts in Python
Module 04 – Database connection
Module 05 – NumPy for mathematical computing
Module 06 – SciPy for scientific computing
Module 07 – Matplotlib for data visualization
Module 08 – Pandas for data analysis and machine learning
Module 09 – Exception Handling
Module 10 – Multi Threading & Race Condition
Module 11 – Packages and Functions
Module 12 – Web scraping with Python

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Tools covered

python jupyter numpy Scipy

Machine Learning

32 Hours 9 Module

Preview

Module 01 – Introduction to Machine Learning
Module 02 – Supervised Learning and Linear Regression
Module 03 – Classification and Logistic Regression
Module 04 – Decision Tree and Random Forest
Module 05 – Naïve Bayes and Support Vector Machine (self-paced)
Module 06 – Unsupervised Learning
Module 07 – Natural Language Processing and Text Mining (self-paced)
Module 08 – Introduction to Deep Learning
Module 09 – Time Series Analysis (self-paced)

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Tools covered

python jupyter

Module 01 – Introduction to Deep Learning and Neural Networks
Module 02 – Multi-layered Neural Networks
Module 03 – Artificial Neural Networks and Various Methods
Module 04 – Deep Learning Libraries
Module 05 – Keras API
Module 06 – TFLearn API for TensorFlow
Module 07 – Dnns (deep neural networks)
Module 08 – Cnns (convolutional neural networks)
Module 09 – Rnns (recurrent neural networks)
Module 10 – Gpu in deep learning
Module 11 – Autoencoders and restricted boltzmann machine (rbm)
Module 12 – Deep learning applications
Module 13 – Chatbots

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Tools covered

tensorflow

Module 01 – Overview of Natural Language Processing and Text Mining
Module 02 – Text Mining, Cleaning, and Pre-processing
Module 03 – Text Classification
Module 04 – Sentence Structure, Sequence Tagging, Sequence Tasks, and Language Modeling
Module 05 – Introduction to Semantics and Vector Space Models
Module 06 – Dialog Systems

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Module 01 – Introduction to Data Science with R
Module 02 – Data Exploration
Module 03 – Data Manipulation
Module 04 – Data Visualization
Module 05 – Introduction to Statistics
Module 06 – Machine Learning
Module 07 – Logistic Regression
Module 08 – Decision Trees and Random Forest
Module 09 – Unsupervised Learning
Module 10 – Association Rule Mining and Recommendation Engines

Self-paced Course Content

Module 11 – Introduction to Artificial Intelligence
Module 12 – Time Series Analysis
Module 13 – Support Vector Machine (SVM)
Module 14 – Naïve Bayes
Module 15 – Text Mining

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Tools covered

R

Module 01 – Entering Data
Module 02 – Referencing in Formulas
Module 03 – Name Range
Module 04 – Understanding Logical Functions
Module 05 – Getting started with Conditional Formatting
Module 06 – Advanced-level Validation
Module 07 – Important Formulas in Excel
Module 08 – Working with Dynamic table
Module 09 – Data Sorting
Module 10 – Data Filtering
Module 11 – Chart Creation
Module 12 – Various Techniques of Charting
Module 13 – Pivot Tables in Excel
Module 14 – Ensuring Data and File Security
Module 15 – Getting started with VBA Macros
Module 16 – Ranges and Worksheet in VBA
Module 17 – IF condition
Module 18 – Loops in VBA
Module 19 – Debugging in VBA
Module 20 – Dashboard Visualization
Module 21 – Principles of Charting
Module 22 – Getting started with Pivot Tables
Module 23 – Statistics with Excel

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Tools covered

excel

Module 01 – Introduction to Data Visualization and The Power of Tableau
Module 02 – Architecture of Tableau
Module 03 – Charts and Graphs
Module 04 – Working with Metadata and Data Blending
Module 05 – Advanced Data Manipulations
Module 06 – Working with Filters
Module 07 – Organizing Data and Visual Analytics
Module 08 – Working with Mapping
Module 09 – Working with Calculations and Expressions
Module 10 – Working with Parameters
Module 11 – Dashboards and Stories
Module 12 – Tableau Prep
Module 13 – Integration of Tableau with R

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Tools covered

tableau
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Project Work

Projects will be a part of your Artificial Intelligence Master’s program to consolidate your learning. It will ensure that you have real-world experience in AI.

Career Services

Career Services
resume

Career Oriented Sessions

Throughout the course

Over 20+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions and that will help you stay on track with your up skilling objective.

linkedin

Resume & LinkedIn Profile Building

After 70% of course completion

Get assistance in creating a world-class resume & Linkedin Profile from our career services team and learn how to grab the attention of the hiring manager at profile shortlisting stage

interview

Mock Interview Preparation

After 80% of the course completion.

Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.

expert

1 on 1 Career Mentoring Sessions

After 90% of the course completion

Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learners’ educational background, past experience, and future career aspirations.

guaranteed

Assured Interviews

After 80% of the course completion

Assured Interviews upon submission of projects and assignments. Get interviewed by our 500+ hiring partners.

job_portal

Exclusive access to Intellipaat Job portal

After 80% of the course completion

Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.

AI Master's in the USA Program Certificates

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The course in USA is created and delivered to help you get the top jobs in the world. The course includes real-world projects that are extremely valuable. The course completion certificate from Intellipaat is awarded upon successfully completing the projects.

This Artificial Intelligence Master’s course is designed for clearing the following industry certifications:

  • Tableau Desktop Qualified Associate Exam

MS in Artificial Intelligence in the USA Reviews

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Master’s in Artificial Intelligence in the USA FAQs

Why should I consider learning MS in Artificial Intelligence in the USA from Intellipaat?

Intellipaat’s AI master’s course will help you upskill yourself in the domains of Deep Learning, Machine Learning, Data Science, R statistical computing, Python, and AI. You will receive Intellipaat’s Artificial Intelligence certification once you successfully complete the training.

This MS in Artificial Intelligence course is carefully curated by industry experts so that you will gain enough practical experience working on real-time projects and assignments. You will find that the projects have extensive applications in the corporate world. With the certification you receive, you will be able to apply for some of the top-paying jobs at MNCs around the world. The course comes with 24/7 learning support, lifetime access to videos, course materials, and their upgrades to the latest version at no extra cost. It is definitely a one-time investment.

Intellipaat brings its course to every corner of the US— Alabama, Arizona, Carolina, California, Florida, Georgia, Indiana, Kansas, Massachusetts, Michigan, New Jersey, New York, Ohio, Texas, Washington, Virginia, etc. From Intellipaat, you will receive the best Artificial Intelligence training in the USA, and you can learn it at any time, sitting at your home or office.

In addition to the AI course in the USA, our courses include R Certification, Machine Learning, Data Analytics, Data Science, Python, Business Analytics Course, and more hands-on practical training.

Intellipaat offers query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.

Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

Apparently, no. Our job assistance is aimed at helping you land your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final hiring decision will always be based on your performance in the interview and the requirements of the recruiter.

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