AI Data Engineering Training

Sunday, 27 April 2025 19:30:09

International Students can apply

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AI Data Engineering Training

Overview

AI Data Engineering Training

Designed for aspiring data engineers and AI enthusiasts, this training program focuses on equipping participants with the skills and knowledge needed to excel in the field of AI data engineering. Through hands-on projects and real-world case studies, learners will master key concepts such as data preprocessing, feature engineering, and model deployment. By the end of the course, students will be able to design and implement robust data pipelines for AI applications. Join us today and take the first step towards a rewarding career in AI data engineering!


Explore the world of AI Data Engineering Training now!

Embark on a transformative journey with our AI Data Engineering Training program. Gain hands-on experience in designing, implementing, and managing data pipelines using cutting-edge AI technologies. Our expert instructors will guide you through the intricacies of data engineering, preparing you for lucrative career opportunities in the rapidly growing field of AI. By mastering essential skills such as data modeling, ETL processes, and data warehousing, you will become a highly sought-after professional in the industry. With a strong emphasis on practical projects and real-world applications, this course will equip you with the tools and knowledge needed to excel in the competitive job market. Don't miss this chance to future-proof your career and become a leader in AI data engineering. (20)

Entry requirements




International Students can apply

Joining our world will be life-changing with a student body representing over 157 nationalities.

LSIB is truly an international institution with history of welcoming students from around the world. With us, you're not just a student, you're a member.

Course Content

• Data preprocessing
• Feature engineering
• Data visualization
• Machine learning algorithms
• Deep learning models
• Natural language processing
• Model evaluation and validation
• Big data technologies
• Cloud computing
• Data ethics and privacy regulations

Assessment

The assessment is done via submission of assignment. There are no written exams.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration

The programme is available in two duration modes:

6 months: GBP £1250
9 months: GBP £950
This programme does not have any additional costs.
The fee is payable in monthly, quarterly, half yearly instalments.
You can avail 5% discount if you pay the full fee upfront in 1 instalment

6 months - GBP £1250

9 months - GBP £950

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

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Accreditation

Awarded by an OfQual regulated awarding body

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  • 1. Complete the online enrolment form and Pay enrolment fee of GBP £10.
  • 2. Wait for our email with course start dates and fee payment plans. Your course starts once you pay the course fee.
  • Apply Now

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

Career Opportunity Description
AI Data Engineer Primary Keywords: AI, Data Engineering, Secondary Keywords: Machine Learning, Big Data. Responsible for designing and implementing AI solutions using large datasets.
Data Scientist Primary Keywords: Data Scientist, Secondary Keywords: AI, Data Analysis. Utilizes AI and machine learning algorithms to extract insights from data.
Machine Learning Engineer Primary Keywords: Machine Learning Engineer, Secondary Keywords: AI, Model Development. Develops and deploys machine learning models for various applications.
Big Data Engineer Primary Keywords: Big Data Engineer, Secondary Keywords: Data Processing, Hadoop. Manages and optimizes large-scale data processing systems.
AI Research Scientist Primary Keywords: AI Research Scientist, Secondary Keywords: Deep Learning, Neural Networks. Conducts research to advance AI technologies and algorithms.

Key facts about AI Data Engineering Training

AI Data Engineering Training is designed to equip participants with the necessary skills and knowledge to work with large datasets and implement AI solutions. The training covers topics such as data preprocessing, feature engineering, model building, and deployment. Participants will learn how to use tools like Python, TensorFlow, and Apache Spark to manipulate and analyze data effectively.
The duration of AI Data Engineering Training typically ranges from a few weeks to a few months, depending on the depth and breadth of the curriculum. Participants can expect to engage in hands-on projects and real-world case studies to apply their learning in practical scenarios. By the end of the training, participants will have a solid understanding of AI data engineering principles and techniques.
AI Data Engineering Training is highly relevant in industries such as finance, healthcare, e-commerce, and technology, where large volumes of data are generated and analyzed regularly. Professionals with AI data engineering skills are in high demand as organizations seek to leverage data-driven insights for decision-making and innovation. Graduates of AI Data Engineering Training can pursue roles such as data engineer, machine learning engineer, or AI specialist in various industries.

Why this course?

AI Data Engineering Training is crucial in today's market as businesses increasingly rely on data-driven decision-making to stay competitive. In the UK, the demand for AI and data engineering skills is on the rise, with a 45% increase in job postings for data engineers in the past year alone. This trend is expected to continue as more companies invest in AI technologies to drive innovation and growth. According to recent statistics, the average salary for a data engineer in the UK is £50,000 per year, with experienced professionals earning upwards of £80,000. This highlights the lucrative career opportunities available to those with the right skills and training in AI data engineering. By undergoing AI data engineering training, professionals can gain the technical expertise needed to design, build, and maintain data pipelines that support AI applications. This training equips learners with the knowledge of programming languages such as Python and tools like TensorFlow and Apache Spark, essential for working with large datasets and developing machine learning models. In conclusion, AI Data Engineering Training is essential for individuals looking to advance their careers in the rapidly growing field of AI and data engineering. With the right skills and training, professionals can take advantage of the numerous job opportunities and competitive salaries available in the UK market.
Statistic UK Data Engineer Job Postings Increase Average Salary for Data Engineers in the UK
Value 45% £50,000 per year

Who should enrol in AI Data Engineering Training?

The ideal audience for AI Data Engineering Training is individuals with a background in computer science or data analysis who are looking to advance their skills in artificial intelligence and data engineering.
According to a recent study, the demand for AI professionals in the UK has increased by 111% over the past year, making this training essential for those looking to stay competitive in the job market.
Whether you are a recent graduate looking to kickstart your career or a seasoned professional wanting to upskill, this training will provide you with the knowledge and hands-on experience needed to excel in the field of AI data engineering.