Professional Certificate in AI Data Engineering for Anomaly Detection

Thursday, 11 September 2025 14:42:45

International applicants and their qualifications are accepted

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Overview

Overview

AI Data Engineering for Anomaly Detection


This course is designed for data professionals who want to learn how to build and deploy AI models for anomaly detection using data engineering techniques.


By the end of this course, learners will be able to design, implement, and deploy AI models that can detect anomalies in large datasets.


Some key concepts covered in this course include data preprocessing, feature engineering, and model selection.


Data engineers and analysts will learn how to work with AI models to identify unusual patterns in data and make data-driven decisions.

Whether you're looking to improve your skills in data engineering or expand your knowledge of AI, this course is perfect for you.


So why wait? Explore the world of AI data engineering today and start building your skills in anomaly detection!

AI Data Engineering is the backbone of modern data analysis, and our Professional Certificate in AI Data Engineering for Anomaly Detection is designed to equip you with the skills to excel in this field. By mastering AI Data Engineering, you'll gain the ability to design, build, and deploy scalable data pipelines that can detect anomalies with ease. This course offers AI Data Engineering professionals the opportunity to enhance their skills in machine learning, data preprocessing, and data visualization. With this certificate, you'll enjoy career prospects in top tech companies and data science roles. Unique features include hands-on projects, expert mentorship, and a community of like-minded professionals.

Entry requirements

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

•
Anomaly Detection Fundamentals •
Data Preprocessing for Anomaly Detection •
Machine Learning Algorithms for Anomaly Detection (Anomaly Detection) •
One-Class SVM for Anomaly Detection •
Autoencoders for Anomaly Detection •
Isolation Forest for Anomaly Detection •
Local Outlier Factor (LOF) for Anomaly Detection •
Clustering Algorithms for Anomaly Detection •
Deep Learning for Anomaly Detection •
Anomaly Detection in Time Series Data

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): £140
2 months (Standard mode): £90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Professional Certificate in AI Data Engineering for Anomaly Detection

The Professional Certificate in AI Data Engineering for Anomaly Detection is a comprehensive program designed to equip learners with the skills required to build and deploy AI-powered data engineering solutions for anomaly detection. This program is offered by leading institutions and is typically completed in 4-6 months, with a duration of around 12-18 weeks. The learning outcomes of this program include designing and implementing AI data pipelines, building and deploying machine learning models for anomaly detection, and integrating these models with existing data engineering systems. The program covers a wide range of topics, including data preprocessing, feature engineering, model selection, and deployment. Learners will also gain hands-on experience with popular AI data engineering tools and technologies, such as Apache Spark, Apache Beam, and TensorFlow. Upon completion of the program, learners will have the skills and knowledge required to design and deploy AI-powered data engineering solutions for anomaly detection in various industries, including finance, healthcare, and retail. The program is highly relevant to the current job market, with many organizations seeking professionals with expertise in AI data engineering and anomaly detection. The Professional Certificate in AI Data Engineering for Anomaly Detection is an excellent choice for professionals looking to upskill or reskill in the field of AI data engineering. The program is designed to be flexible and can be completed at the learner's own pace, making it an ideal option for working professionals.

Why this course?

AI Data Engineering is a rapidly growing field that has become increasingly important in today's market, particularly in the area of Anomaly Detection. According to a report by the UK's Office for National Statistics, the number of AI and machine learning professionals in the UK is expected to grow by 30% by 2025, with many companies investing heavily in AI-powered solutions to stay competitive.
Year Number of AI Professionals
2020 15,000
2021 18,000
2022 22,000
2023 30,000

Who should enrol in Professional Certificate in AI Data Engineering for Anomaly Detection?

Ideal Audience for Professional Certificate in AI Data Engineering for Anomaly Detection Data professionals in the UK looking to upskill in AI and data engineering are the primary target audience for this course. With the increasing demand for AI-driven solutions in various industries, such as finance and healthcare, professionals seeking to enhance their skills in data engineering and anomaly detection are in high demand. According to a report by the UK's Office for National Statistics, the number of data scientists and analysts in the UK is expected to grow by 13% by 2025, making this course an attractive option for those looking to stay ahead in their careers. The course is also suitable for data engineers, IT professionals, and business analysts who want to gain expertise in AI data engineering and anomaly detection.
Key Characteristics: Professionals with a strong foundation in data engineering, programming languages such as Python, and experience working with data analytics tools. Familiarity with machine learning concepts and data visualization techniques is also beneficial. The course is designed for those who want to acquire hands-on skills in AI data engineering and anomaly detection, enabling them to drive business value through data-driven insights.
Career Benefits: Upon completion of the course, professionals can expect to enhance their career prospects, increase their earning potential, and take on more senior roles in data engineering and AI. According to a report by Glassdoor, the average salary for a data scientist in the UK is £73,000 per annum, making this course an attractive investment for those looking to boost their salaries.