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ビジネス人工知能

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Overview

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Learning outcomes

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Course content

1

Introduction To Business Artificial Intelligence

2

Artificial Intelligence For Business

3

Business Analytics And Intelligence

4

Intelligent Business Systems

5

Business Intelligence And Data Analytics

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

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Learn on your time
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We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
Ready when you are
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
Open enrolment · Start today

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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

I'm absolutely thrilled with the 'ビジネス人工知能' course at Stanmore School of Business! As a working professional in the US, I was looking to upskill in AI and its applications in business. This course exceeded my expectations in every way. The course content was incredibly relevant, covering everything from machine learning algorithms to natural language processing. I particularly appreciated the emphasis on practical, real-world examples - it really helped me understand how to apply these concepts in my own work. The quality of the course materials was top-notch, with engaging video lectures, comprehensive readings, and hands-on assignments that really reinforced my learning. I've already seen a significant impact on my work, with improved decision-making and problem-solving skills. Overall, I'm so glad I took this course - it's been a game-changer for my career!

LH
Leila Hassan
EG · Course completed

I took the 'ビジネス人工知能' course at Stanmore School of Business with a bit of skepticism, but I was pleasantly surprised by the quality of the content and the expertise of the instructors. As someone working in the Middle East, I was looking for a course that would help me understand the business applications of AI, and this course delivered. I appreciated the detailed explanations of AI concepts, as well as the case studies and group discussions that really helped me think critically about how to apply these concepts in my own work. The course materials were well-organized and easy to follow, although I did find some of the assignments a bit challenging. Overall, I'm really glad I took this course - it's given me a solid foundation in AI and business, and I feel more confident in my ability to make informed decisions. One area for improvement might be more feedback on assignments, but overall, I'm satisfied with the course.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The 'ビジネス人工知能' course at Stanmore School of Business was an incredible experience from start to finish. As someone working in the tech industry in Japan, I was looking for a course that would help me stay up-to-date on the latest developments in AI, and this course absolutely delivered. The instructors were knowledgeable and enthusiastic, and the course content was incredibly engaging - we covered everything from deep learning to computer vision, with plenty of hands-on examples and projects to really drive the learning home. I was blown away by the quality of the course materials, which were always relevant, always current, and always challenging. The discussions with my fellow students were also really valuable - we had people from all over the world, with different backgrounds and perspectives, and it was amazing to learn from them and share my own experiences. Overall, I'm so glad I took this course - it's been a wild ride, and I feel like I've learned so much!

RS
Rafaela Silva
BR · Course completed

I recently completed the 'ビジネス人工知能' course at Stanmore School of Business, and I have to say, it was a really great experience. As someone working in finance in Brazil, I was looking for a course that would help me understand the business applications of AI, and this course really helped me achieve my learning goals. The course content was comprehensive and well-organized, covering everything from data preprocessing to predictive modeling. I appreciated the emphasis on practical skills - we had plenty of assignments and projects that really helped me develop my skills in a hands-on way. The instructors were also really supportive and knowledgeable, always available to answer questions and provide feedback. One thing that might be improved is more interaction with the instructors - sometimes I felt like I was just watching videos and doing assignments on my own, without much feedback or guidance. However, overall, I'm really satisfied with the course, and I feel like I've gained some really valuable skills and knowledge.





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Recently updated!

May 2026