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Diploma in Python, Java and Machine Learning
Imperial Academy

5 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | Lifetime Access

Summary

Price
£250 inc VAT
Or £41.67/mo. for 6 months...
Study method
Online
Course format
Video
Duration
450 hours · Self-paced
Access to content
Lifetime access
Qualification
No formal qualification
CPD
150 CPD hours / points
CPD What's this?
Achievement
Endorsed by The Quality Licence Scheme
Certificates
  • Certificate of completion - Free
Assessment details
  • Multiple Choice Questions (MCQ)/Assignment (included in price)
Additional info
  • Tutor is available to students

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Overview

The global software development and artificial intelligence industry is expanding rapidly, with demand for programming and machine learning skills projected to rise by over 35% by 2030. The UK tech sector alone contributes more than £150 billion to the economy, creating increasing opportunities for professionals with strong coding and analytical abilities. Employers across finance, healthcare, engineering, and technology actively seek talent proficient in Python, Java, and machine learning—skills recognised as essential in modern digital innovation.

This course is ideal for aspiring developers, data enthusiasts, and professionals aiming to strengthen their programming and analytical skill set. Career paths include software development, machine learning support roles, data analysis, and automation support, with typical salaries ranging from £32,000 to £65,000 depending on expertise and industry.

Learners gain deep knowledge of coding principles, software structure, algorithms, data handling, and machine learning workflows. By mastering these core competencies, participants build strong logical thinking, problem-solving skills, and coding confidence essential for success in technical fields. Enrol now to gain high-demand skills that offer excellent career progression in the UK’s rapidly growing tech landscape.

Learning Outcomes

After completing this course, you will be able to:

  • Write efficient Python programs using functions, data structures, and object-oriented techniques to solve computational problems across various scenarios.
  • Develop structured Java applications by applying key programming principles and object-oriented design concepts effectively in technical environments.
  • Apply algorithms and problem-solving strategies to analyse challenges and generate reliable solutions using programming techniques confidently.
  • Execute data preprocessing tasks to prepare datasets for machine learning processes and ensure accurate model development workflows consistently.
  • Build supervised and unsupervised machine learning models and evaluate their performance using appropriate metrics and validation methods.
  • Utilise data visualisation techniques to present patterns, trends, and insights clearly using industry-standard libraries and tools efficiently.
  • Integrate Python automation techniques to streamline repetitive tasks and improve operational efficiency within technical or analytical workflows.
  • Produce documented, well-structured code that aligns with professional standards to support collaboration and long-term software maintenance effectively.

Achievement

Certificates

Certificate of completion

Hard copy certificate - Included

Assessment details

Multiple Choice Questions (MCQ)/Assignment

Included in course price

CPD

150 CPD hours / points
Accredited by CPD Quality Standards

Course media

Description

This comprehensive programme offers a structured overview of Python, Java, and machine learning, enabling learners to develop strong technical capabilities across three key areas of modern computing. The course explores programming foundations, including syntax, functions, data structures, and object-oriented approaches that strengthen logical thinking and coding confidence.

Learners will study essential software development concepts while developing skills in handling data, solving algorithmic problems, and writing clean, efficient code. The programme also covers machine learning principles, including data preprocessing, supervised and unsupervised models, evaluation methods, and the use of industry-standard libraries.

By completing this diploma, learners gain the ability to apply programming techniques, analyse datasets, and develop machine learning solutions suitable for diverse technical environments. The knowledge gained prepares participants for further advancement in software development, automation, data-driven tasks, and machine learning-related responsibilities.

QLS Endorsed Courses:

  • Course 01: Diploma in Python Programming at QLS Level 5
  • Course 02: Diploma in Introduction to Java at QLS Level 5
  • Course 03: Certificate in Machine Learning with Python at QLS Level 3
  • Course 04: Diploma in Machine Learning for Apps at QLS Level 5
  • Course 05: Award in Machine Learning Model Using AWS SageMaker Canvas at QLS Level 2

Who is this course for?

  • Learners seeking strong programming knowledge to begin developing software solutions using structured approaches in Python and Java effectively.
  • Those wishing to deepen their understanding of machine learning concepts to enhance analytical and technical capabilities for future advancement.
  • Professionals aiming to broaden their technical skill set to support digital transformation and data-driven tasks within various organisations.
  • People looking to strengthen problem-solving, logical reasoning, and coding proficiency for improved confidence in technical decision-making.
  • Anyone motivated to pursue a recognised qualification that builds essential programming and machine learning competencies for long-term career growth.

Career path

  • Software Developer (£32,000–£55,000)
  • Machine Learning Assistant (£35,000–£60,000)
  • Python Programmer (£32,000–£50,000)
  • Java Developer (£35,000–£55,000)
  • Data Analyst (£30,000–£48,000)
  • Automation Technician (£32,000–£50,000)

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Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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Similar subjects: Java, Python, Machine Learning, Coding, IT
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