Professional Certificate in AI Data Engineering Tools and Techniques

Tuesday, 07 October 2025 10:59:23

International applicants and their qualifications are accepted

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Overview

Overview

Artificial Intelligence (AI) Data Engineering


is a rapidly growing field that requires professionals to design, build, and maintain large-scale data systems.


Data engineers play a crucial role in this field, using tools and techniques such as Apache Spark, Hadoop, and NoSQL databases to process and analyze complex data sets.


This Professional Certificate program is designed for data professionals who want to acquire the skills needed to work with AI data engineering tools and techniques.


Through a combination of online courses and hands-on projects, learners will gain a deep understanding of data engineering concepts and how to apply them in real-world scenarios.


By the end of the program, learners will be able to design, build, and maintain large-scale data systems that support AI applications.


Join our AI Data Engineering program today and take the first step towards a career in this exciting and in-demand field.

AI Data Engineering Tools and Techniques are in high demand, and this Professional Certificate program will equip you with the skills to excel in this field. By mastering AI Data Engineering Tools and Techniques, you'll gain hands-on experience with popular tools like Apache Spark, Hadoop, and TensorFlow. This course offers AI Data Engineering Tools and Techniques training, focusing on data ingestion, processing, and analysis. You'll also learn about data visualization, machine learning, and cloud-based solutions. With this certification, you can expect AI Data Engineering Tools and Techniques career opportunities in data science, machine learning, and business intelligence.

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


Data Wrangling and Preprocessing •
Machine Learning Engineering Fundamentals •
Big Data Storage Solutions (HDFS, HBase) •
NoSQL Database Management (MongoDB, Cassandra) •
Distributed Computing and Clustering (Hadoop, Spark) •
Data Pipelines and ETL Tools (Apache Beam, Airflow) •
Data Quality and Validation Techniques •
Cloud-based Data Engineering (AWS, GCP, Azure) •
Data Security and Access Control Measures •
Advanced Data Engineering Topics (Graph Databases, 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

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 Tools and Techniques

The Professional Certificate in AI Data Engineering Tools and Techniques is a comprehensive program designed to equip learners with the skills required to design, build, and maintain large-scale AI data pipelines.
This program focuses on the practical application of AI data engineering tools and techniques, such as Apache Spark, Apache Beam, and Apache Flink, to extract insights from complex data sets.
Upon completion of the program, learners will be able to learn how to design and implement scalable data pipelines, process large datasets, and integrate with various data sources.
The duration of the program is approximately 4 months, with learners required to complete a series of assignments and projects to demonstrate their understanding of AI data engineering concepts.
The program is highly relevant to the industry, as AI data engineering is a rapidly growing field with a high demand for skilled professionals.
Learners who complete the program will gain a competitive edge in the job market, with many employers seeking candidates with expertise in AI data engineering tools and techniques.
The program is designed to be flexible, with learners able to complete the coursework on their own schedule and at their own pace.
The Professional Certificate in AI Data Engineering Tools and Techniques is offered by top universities and organizations, ensuring that learners receive high-quality instruction and support throughout the program.
Upon completion of the program, learners will receive a professional certificate, which can be added to their resume or LinkedIn profile to demonstrate their expertise in AI data engineering.
The program is also highly relevant to data scientists, data analysts, and other professionals working in the field of data engineering, as it provides a comprehensive understanding of AI data engineering concepts and tools.
Overall, the Professional Certificate in AI Data Engineering Tools and Techniques is an excellent choice for anyone looking to gain expertise in AI data engineering and advance their career in the field.

Why this course?

AI Data Engineering Tools and Techniques have become a crucial aspect of the modern data landscape, with the UK's data industry expected to reach £16.2 billion by 2025, growing at a CAGR of 13.4% (Source: Digital Catapult). To stay ahead in this competitive market, professionals need to acquire skills in AI data engineering tools and techniques.
Skills Percentage
Data Engineering 85.6%
Machine Learning 78.9%
Data Science 73.4%

Who should enrol in Professional Certificate in AI Data Engineering Tools and Techniques?

Ideal Audience for Professional Certificate in AI Data Engineering Tools and Techniques Data professionals in the UK are in high demand, with a projected shortage of over 30,000 data scientists by 2028 (Source: Data Science Council of America). Our target audience includes:
Professionals with a background in computer science, mathematics, or statistics With a strong foundation in programming languages such as Python, R, or SQL, and experience with data engineering tools like Apache Spark, Hadoop, or TensorFlow, our ideal candidate is looking to upskill and reskill in AI data engineering.
Data analysts, data engineers, and data architects Those working in the public sector, finance, healthcare, or e-commerce are also welcome to apply, as AI data engineering is a highly sought-after skillset in various industries. Our program is designed to equip learners with the necessary skills to drive business growth and innovation.
Individuals seeking career advancement or looking to transition into a new field By completing our Professional Certificate in AI Data Engineering Tools and Techniques, learners can enhance their employability, increase their earning potential, and stay ahead of the curve in the rapidly evolving AI landscape.