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Course Includes:
  • ci Online Study Mode
  • ci 450 Hours
  • ci Study at your own Pace
  • ci Completion Certificate

Key Aspects of Course

  • icon Level 5 Diploma
  • icon Full Online Course
  • icon CPD Approved
  • icon Employer Approved
  • icon Fully Endorsed Course
  • icon 450 Hours Training
  • icon No Entry Requirements
  • icon Boost Your Resume
  • icon Own Pace Study
  • icon Premium Course Material
  • icon Completion Certificate
Special offer

£80

£400
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Statistics and Probability for AI

 

The Statistics and Probability for AI course is designed to build a strong foundation in the mathematical concepts that power artificial intelligence and machine learning. Learners will explore the relationship between artificial intelligence and statistics, understanding how statistical methods and probability theory are applied to train, evaluate, and improve AI models. The course takes a practical approach, making it suitable for beginners as well as professionals seeking to strengthen their analytical skills.

 

By examining real-world examples and practical datasets, students will gain insights into statistics about artificial intelligence and learn how to apply these concepts in AI applications. From descriptive and inferential statistics to probability distributions and Bayesian inference, the course provides all the essential tools needed to make data-driven decisions in AI. By the end of the program, learners will be equipped with both theoretical knowledge and practical expertise in statistics and probability for artificial intelligence projects.

Learning Outcomes
  • Understanding probability and statistical concepts in AI
  • Conducting hypothesis testing and inference
  • Performing Bayesian probability and inference
  • Applying probability in machine learning algorithms
  • Applying descriptive statistics to datasets
  • Using probability distributions in real-world problems
  • Implementing regression analysis in AI models
  • Exploring advanced statistical techniques for AI
Who should learn
this course
  • Aspiring AI professionals
  • Data science beginners
  • Machine learning engineers
  • Software developers
  • Computer science students
  • Researchers in AI and data science
  • Analysts working with AI tools
  • Professionals transitioning to AI careers

SYLLABUS

Module 1

Module 1

Introduction to Statistics and Probability in AI

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Module 2

Module 2

Probability Distributions and Their Applications

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Module 3

Module 3

Descriptive Statistics for Data Analysis

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Module 4

Module 4

Inferential Statistics and Hypothesis Testing

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Module 5

Module 5

Bayesian Probability and Inference

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Module 6

Module 6

Regression Analysis and Its Use in AI

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Module 7

Module 7

Probability in Machine Learning Models

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Module 8

Module 8

Advanced Topics in Statistics and Probability for AI

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Future market Growth
250 Billion

Expected Artificial Intelligence market growth by the end of 2026

90% Growth

Increased in growth in different learning organizations

Career opportunities

Average Salary

£50k - £110k per Annum

Hiring Companies

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Certifications
Frequently Asked Questions (FAQs)

Our AI Intelligence courses are entirely self-paced, allowing you to study whenever it suits you best. Whether you finish quickly or take your time, there are no deadlines or expiry dates.

No attendance is required. All Artificial Intelligence study materials and assessments are delivered online, enabling full home-study learning without any campus visits.

The course fee displayed on the website includes everything—learning materials, registration, and tutor support. Unless you decide to upgrade your certificate, there are no additional charges.

You’ll be guided by a dedicated tutor who specialises in Artificial Intelligence. They will assist with academic questions, clarify difficult topics, and provide detailed assessment feedback.

Absolutely. Our AI Intelligence courses are open to learners worldwide. As long as you have internet access, you can join from any country.

Our introductory AI Intelligence courses are created specifically for newcomers. They focus on foundational AI concepts before moving into advanced algorithms and applications, making them ideal for first-time learners.

All you’ll need is a laptop or computer with a stable internet connection. Every learning resource, including modules and assessments, is provided digitally—no additional software is required.

Yes. The entire learning journey is completed online, including lessons, reading materials, assignments, and tutor communication. There is no requirement for in-person training.

Upon finishing your chosen programme, you’ll receive an endorsed certificate that can enhance your CV and support your entry into the growing Artificial Intelligence industry.

Completing an AI course can lead to roles such as AI technician, data analyst, machine learning assistant, automation specialist, or support positions within tech-driven companies. Advanced study may open doors to senior AI and machine learning roles.