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Columbus, United States · Study online with LSBA

Machine Learning

Certificate program teaches supervised, unsupervised, deep learning, model evaluation, deployment, and real‑world AI applications through hands‑on labs and expert mentorship
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Overview

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Learning outcomes

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Course content

1

Introduction To Machine Learning

2

Supervised Learning

3

Unsupervised Learning

4

Deep Learning

5

Neural Networks

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

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

60 sec
From enrol to start
24/7
Course access
Self-paced
Learn on your time
Certificate
Included in fee

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
Most learners finish reading the FAQs and enrol in the same minute.
Self-paced · Certificate included · 24/7 access · 60-second start.
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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 blown away by the Machine Learning course at Stanmore School of Business! As a data scientist in the US, I was looking to upskill and this course exceeded my expectations. The content was incredibly comprehensive, covering everything from supervised and unsupervised learning to deep learning and neural networks. I particularly appreciated the practical examples and case studies, which helped me understand how to apply machine learning concepts to real-world problems. The course materials were top-notch, with engaging video lectures, informative readings, and challenging assignments that pushed me to think critically. I've already started applying my new skills to projects at work and have seen significant improvements in my results. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to break into the field of machine learning.

LH
Leila Hassan
EG · Course completed

I recently completed the Machine Learning course at Stanmore School of Business and I'm really pleased with what I achieved. The course was well-structured and easy to follow, with a good balance of theory and practice. I found the lectures on natural language processing and computer vision to be particularly interesting, and the assignments helped me develop a solid understanding of how to work with popular machine learning libraries like TensorFlow and PyTorch. One thing that stood out to me was the quality of the course materials - the videos were concise and informative, and the readings provided a lot of valuable context and background information. My only suggestion would be to add more feedback opportunities for students, but overall I'm happy with the course and feel like it's helped me take my skills to the next level.

CS
Catarina Silva
BR · Course completed

Wow, just wow! The Machine Learning course at Stanmore School of Business was absolutely amazing! I was a bit skeptical at first, but from the very first lecture I knew I was in for a treat. The instructors were knowledgeable and enthusiastic, and the course content was incredibly engaging. I loved the interactive coding assignments, which helped me develop a deep understanding of machine learning concepts and how to apply them in practice. The course also covered some really advanced topics, like reinforcement learning and generative models, which I found fascinating. What really impressed me, though, was the level of support provided by the instructors and teaching assistants - they were always available to answer questions and provide feedback, which made a huge difference in my learning experience. Overall, I'm so glad I took this course and would highly recommend it to anyone interested in machine learning!

KN
Kaito Nakamura
JP · Course completed

I took the Machine Learning course at Stanmore School of Business and found it to be a valuable learning experience. The course covered a wide range of topics, from the basics of machine learning to more advanced concepts like deep learning and neural networks. I appreciated the detailed lecture notes and slides, which provided a lot of useful information and context. The assignments were also well-designed, requiring me to apply machine learning concepts to real-world problems and think critically about the results. One area for improvement might be to add more opportunities for student interaction and discussion, but overall I'm satisfied with the course and feel like it's helped me develop a solid foundation in machine learning. The course materials were also very relevant to my current work in the field, which was a big plus.





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Recently updated!

May 2026