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Master’s in Artificial Intelligence in Japan

5 ( 10,022 ) Ratings

Become an expert Artificial Intelligence Engineer by enrolling in Master’s in Artificial Intelligence in Japan from Intellipaat. Our instructors with 12+ years of experience will teach you all about Data Science, Python, ANNs, etc. This MS in Artificial Intelligence course is well-designed with 24/7 support and live projects so that you can gain practical expertise.

In collaboration with

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10+
Courses
24+
Projects
198
Hours
  • Online Classroom Training
    • Course 1
      Data Science with R

    • Course 2
      Python

    • Course 3
      Machine Learning

    • Course 4
      Deep Learning with TensorFlow

    • Course 5
      Natural Language Processing

    • Course 6
      Advanced Deep Learning and Computer Vision

    • Course 7
      AWS Big Data

  • Self Paced Training
    • Course 8
      SAS 

    • Course 9
      Excel 

    • Course 10
      Tableau 

    • Get Master's Certificate

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
Intellipaat-Key-Features
Intellipaat-Key-Features
Intellipaat-Key-Features

Master’s in Artificial Intelligence in JapanOverview

As a learner, you will soon be able to master different concepts such as Deep Learning with TensorFlow, R programming, Tableau, Data Science, Python coding, making use of Watson Assistant to build chatbots, Business Analytics, etc. through this AI Master’s in Japan program.

What modules does this master's training in Artificial Intelligence in Japan cover?

  • Artificial Intelligence: Introduction
  • Building ANNs (artificial neural networks)
  • Data Analytics using Python
  • Designing Machine Learning systems
  • Data Science and AI overlap
  • Deep Learning with the help of TensorFlow
  • Creating statistical models
  • Data Science with R statistical computing
  • Data Analytics, data visualization, and modeling using SAS
  • Tableau dashboards, and reports
  • MS Excel calculations, tables, and formulae

No. We do not have any prerequisites for enrollment in this master’s course in Artificial Intelligence.

  • SAS Developers
  • Data Analysts
  • Data Science Aspirants
  • Software Engineers
  • Business Intelligence Professionals
  • The average salary of AI professionals in Japan is ¥4,083,000/year – PayScale
  • By 2045, AI technologies will generate an economic return of about ¥121 trillion – The Government of Japan
  • Over 450 jobs are listed for AI professionals in Japan – Shine
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Talk To Us

We are happy to help you 24/7

Who can apply for the course?

  • Aspirants aiming to start a career as an AI Engineer
  • SAS Developers who wish to gain skills in open-source technology
  • Business Intelligence Professionals
  • Data Analysts
  • Software Engineers
Who can aaply

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

SAS

Natural Language Processing

Excel

Tableau

AWS Big Data

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Tools to Master

tool-desktop tool-desktop tool-desktop tool-desktop tool-desktop tool-desktop tool-desktop tool-desktop tool-desktop tool-desktop tool-desktop tool-desktop
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Master's in Artificial Intelligence Course Content

Live Course Self Paced
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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Free Career Counselling

We are happy to help you 24/7

Interested in This Program? Secure your spot now.

The application is free and takes just 10-15 minutes to complete.

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.

  • 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

    AI Master's in Japan Program Certificates

    The course in Japan is created and delivered in association with IBM 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 and IBM 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
    • SAS Certified Base Programmer Exam
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    Industry Trends

    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!

    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.

    Resume

    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

    Resume

    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.

    Resume

    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.

    Resume

    Assured Interviews

    After 80% of the course completion

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

    Resume

    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 Master Client Mobile

    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
    • of instructor-led online training
    • One to one doubt resolution sessions
    • Attended as many batches as you want for Lifetime
    • Job Assistance
    21 Sep

    TUE - FRI

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

    26 Sep

    SAT - SUN

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

    02 Oct

    SAT - SUN

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

    09 Oct

    SAT - SUN

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

    $983 10% OFF Expires in

    Corporate Training

    • Customized Learning
    • Enterprise grade learning management system (LMS)
    • 24x7 Support
    • Enterprise grade reporting

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    MS in Artificial Intelligence in Japan Reviews

    5 ( 10,022 )

    Master’s in Artificial Intelligence in Japan FAQs

    Why Should I Learn MS in Artificial Intelligence in Japan from Intellipaat?

    Intellipaat provides the best Artificial Intelligence Master’s Programs in Japan that gives you all the skills needed to work in the domains of AI, Machine Learning, Deep Learning, Data Science with R Statistical computing and Python to give the professionals an added advantage. Upon the completion of the training, you will be awarded the Intellipaat Artificial Intelligence Engineer certification.

    You will be working on real-time projects and step-by-step assignments that have high relevance in the corporate world, and the curriculum is designed by industry experts. Upon the completion of the Master’s Program in Artificial Intelligence, you can apply for some of the best jobs in top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 support and course material upgrading to the latest version at no extra fee. Hence, it is clearly a one-time investment.

    Intellipaat has been serving AI and ML enthusiasts from every corner of Japan. You can be living in any country, be it Tokyo, Yokohama, Osaka, Nagoya, Sapporo, Fukuoka, Kobe, Kawasaki, Kyoto, Saitama, Hiroshima, Sendai, Chiba, or anywhere. You can have full access to the best Artificial Intelligence Master’s programs in the world sitting at home or office 24/7.

    At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

    Intellipaat is offering 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.

    Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

    You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

    Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

    You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

    Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.

    Apparently, no. Our job assistance program is aimed at helping you land in 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 decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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