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PG Program in Artificial Intelligence

This master’s degree program in Artificial Intelligence by Belhaven University and Intellipaat will help you become competent in various aspects of AI, such as Machine Learning with Python, Artificial Neural Networks, Deep Learning with TensorFlow, and several other advanced concepts, through real-time projects. Additionally, you will get exclusive access to IBM Cloud Platforms, Cognitive Classes and IBM Watson Cloud Lab. On completion of the program, you will receive a master’s degree from Belhaven University.

Only Few Seats Left No Prior Programming Knowledge Required

Ranked among the best US regional universities for 8 consecutive years - U.S. News & World Report

Upskill for Your Dream Job

Learning Format

Online

Duration

198 Hours

Career Services

by Intellipaat

30 PLA Credits from

Belhaven University

400+

Hiring Partners

About the Program

In this Master’s Degree Program in Artificial Intelligence, you will master the core concepts in AI along with various tools and technologies in the domain. The program has over 10 courses and 24 industry-based projects that will translate to practical experience in the domain.

Key Highlights

210 Hrs Instructor-Led Training
178 Hrs Self-paced Videos
286 Hrs Projects and Exercises
Master’s Degree from Belhaven University
IBM Certification
1:1 with Industry Experts
3 Guaranteed Interviews by Intellipaat
Flexible Schedule
Lifetime Free Upgrade
Mentor Support

Free Career Counselling

We are happy to help you 24/7

About Belhaven University

Belhaven University is known for its nationally recognized academics, top-rated faculty, and affordability. Belhaven strives for excellence in higher education and has achieved prominence in education dating back to 1883. At Belhaven, every student is encouraged to develop and grow to the best of their potential.

Key achievements of Belhaven University:

  • Recognized three majors for their quality and programming – Colleges of Distinction
  • Ranked among the best regional universities in the South for eight consecutive years – U.S. News & World Report

Upon the completion of this program, you will:

  • Receive a Master’s Degree from Belhaven University

Program in Collaboration with IBM

IBM is one of the leading innovators and the biggest player in creating innovative tools for big data analytical tools. Top subject matter experts from IBM will share knowledge in the domain of analytics and big data through this training program.

Benefits for students from IBM:

  • Industry-recognized IBM certificates
  • Access to IBM Watson for hands-on training and practice
  • Industry in-line case studies and project work

Who can apply for this Master’s Degree Program in Artificial Intelligence?

  • Aspirants aiming to start their careers as AI Engineers
  • SAS Developers wanting to gain skills in open-source technology
  • Business Intelligence Professionals
  • Data Analysts
  • Software Engineers
Who can aaply

What roles does an AI Expert play?

AI Engineer

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

Data Scientist

Assess and validate AI models using tuning and model fit testing.

Research Engineer

Develop robust optimization algorithms for numerous applications built on AI.

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 AI solutions in the cloud environment in order to meet 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

SAS

Excel

Tableau

AWS Big Data

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Tools to Master

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Curriculum

Live Course Self Paced

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

Tools covered

Tools Covered

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

Tools covered

Tools Covered Tools Covered Tools Covered Tools Covered

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)

Tools covered

Tools Covered Tools Covered

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

Tools covered

Tools Covered

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

Module 01 – RBM and DBNs & Variational AutoEncoder
Module 02 – Object Detection using Convolutional Neural Net
Module 03 – Generating images with Neural Style and Working with Deep Generative Models
Module 04 – Distributed & Parallel Computing for Deep Learning Models
Module 05 – Reinforcement Learning
Module 06 – Deploying Deep Learning Models and Beyond

Module 01 – Introduction to Big Data and Data Collection
Module 02 – Introduction to Cloud Computing & AWS
Module 03 – Elastic Compute and Storage Volumes
Module 04 – Virtual Private Cloud
Module 05 – Storage – Simple Storage Service (S3)
Module 06 – Databases and In-Memory DataStores
Module 07 – Data Storage
Module 08 – Data Processing
Module 09 – Data Analysis
Module 09 – Data Visualization and Data Security

Tools covered

Tools Covered Tools Covered Tools Covered

Module 01 – Introduction to SAS
Module 02 – SAS Enterprise Guide
Module 03 – SAS Operators and Functions
Module 04 – Compilation and Execution
Module 05 – Using Variables
Module 06 – Creation and Compilation of SAS Data Sets
Module 07 – SAS Procedures
Module 08 – Input Statement and Formatted Input
Module 09 – SAS Format
Module 10 – SAS Graphs
Module 11 – Interactive Data Processing
Module 12 – Data Transformation Function
Module 13 – Output Delivery System (ODS)
Module 14 – SAS Macros
Module 15 – PROC SQL
Module 16 – Advanced Base SAS
Module 17 – Summarization Reports

Tools covered

Tools Covered

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

Tools covered

Tools Covered

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

Tools covered

Tools Covered
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Program Highlights

210 Hrs Instructor Led Training
178 Hrs Self-paced Videos
24+ Industry Projects and Case Studies
24*7 Online Learning Support

Interested in This Program? Secure your spot now.

The application is free and takes only 5 minutes to complete.

Project Work

The projects are well-suited for learners who want to gain industry experience and hands-on training in the domain.

Practice 100+ Essential Tools

Designed by Industry Experts

Get Real-world Experience

Career Transition

57% Average Salary Hike

$1,14,000 Highest Salary

12000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

Peer Learning

Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends – the possibilities are endless and our community has something for everyone!

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Intellipaat
Intellipaat
Intellipaat

Career Services By Intellipaat

Career Services
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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.

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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

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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.

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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.

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Assured Interviews

After 80% of the course completion

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

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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.

Our Alumni Work At

Master Client Desktop

Reviews

4.8 ( 2,206 )

Program Fee

Total Admission Fee

$ 1,499

Program Cohorts

Next Cohorts

Date Time Batch Type
Regular Classes 29th Jan 2022 08:00 PM IST Weekend (Sat-Sun)

Frequently Asked Questions

Why should I sign up for this master’s degree program in Artificial Intelligence?

This online master’s program by Belhaven University is designed to help you gain hands-on experience in the Artificial Intelligence domain and become a successful AI professional. The various courses meet industry standards and requirements. By the end of the program, you will have a strong background in the various skill sets and tools that are in demand in the corporate world. After completing the program, you will receive a Master’s degree from Belhaven University and an IBM certification.

You will also get the opportunity to work on several projects and assignments that are relevant to the real-industry environment. On completion of the program, you will be qualified to apply for some of the top-paying jobs around the world.

You can start by signing up for our master’s degree program in AI by Belhaven University. Once you successfully complete the program, as well as the projects and assignments, you will receive your master’s degree in Artificial Intelligence.

Our Learning Management System (LMS) provides a customized learning experience with live sessions as well as self-paced videos. If you miss a live session for any reason, you will be able to watch the recorded version of the session without having to worry about missing the lesson.

You will be learning from the faculty at Belhaven University and receive a quality master’s degree program experience.

You can get in touch with our course advisors for more information. They will provide you with all the assistance you need.

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What is included in this course?

  • Non-biased career guidance
  • Counselling based on your skills and preference
  • No repetitive calls, only as per convenience
  • Rigorous curriculum designed by industry experts
  • Complete this program while you work

I’m Interested in This Program

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