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Full Course

£80

£400
80% OFF

4.8

(1397 reviews)
30-Days money-back guarantee
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
paygroup

AI Data Preprocessing

 

The AI Data Preprocessing course is designed to equip learners with the skills required to prepare raw data for effective use in artificial intelligence applications. A well-structured preprocessed dataset is essential for building accurate and efficient AI models, and this course teaches students how to clean, transform, and structure data to achieve optimal performance. Learners will gain hands-on knowledge of handling missing values, detecting anomalies, and preparing diverse data types for advanced analytics.

 

Through real-world examples and practical exercises, students will learn how to apply preprocessing techniques to different kinds of data, including numerical, categorical, text, and time-series. By mastering AI Data Preprocessing, learners will understand the importance of data quality, develop expertise in feature engineering, and be able to integrate preprocessing steps into end-to-end AI pipelines, ensuring better model performance and trustworthy results.

Learning Outcomes
  • Creating a preprocessed dataset for AI applications
  • noisy
  • Data cleaning and transformation techniques
  • Managing imbalanced datasets effectively
  • Text preprocessing for natural language processing (NLP)
  • Handling missing
  • and inconsistent data
  • Feature engineering for improved model accuracy
  • Preprocessing time-series and sequential data
  • Building end-to-end AI data pipelines
Who should learn
this course
  • Data scientists
  • Machine learning engineers
  • AI researchers
  • Data analysts
  • Software developers
  • IT professionals
  • Students pursuing AI and data science

SYLLABUS

Module 1

Module 1

Introduction to Data Preprocessing in AI

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Module 2

Module 2

Handling Missing Data

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Module 3

Module 3

Data Cleaning and Transformation

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Module 4

Module 4

Feature Engineering for AI

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Module 5

Module 5

Data Balancing Techniques for Imbalanced Datasets

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Module 6

Module 6

Handling Time Series Data

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Module 7

Module 7

Text Data Preprocessing for NLP

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Module 8

Module 8

Integrating Data Preprocessing into AI Pipelines

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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.