Call us: 01582482342 Email: [email protected]

TQUK Level 3 AI Programming with Python (RQF)

Qualification Number : 610/0155/7

ai-python

Emperia College, one of the best UK education provider, offers Level 3 Certificate in AI Programming with Python (RQF) awarded by TQUK, an Awarding Organization recognized by the Office of Qualifications and Examinations Regulation (Ofqual) in England, and by CCEA Regulation in Northern Ireland. This program ensures quality education with comprehensive learning materials, dedicated tutor support, and flexible self-paced study. Assessments after each unit allow smooth progression and skill acquisition, fitting around your existing commitments.

TQUK Level 3 AI Programming with Python (RQF)

Qualification Purpose

This qualification is designed to supercharge your skills and power the country’s digital infrastructure forwards as it equips learners with knowledge and skills for Artificial Intelligence (AI) programming specifically with Python.

When indulging on this qualification, learners will cover key areas such as: basic python functions, writing scripts, libraries used within python, version control using GITHUB and neural networks which will entail linear algebra and calculus.

This qualification also aims to support and drive forward Government and Combined Authorities skill gap strategies for digital skills as this qualification encourages individuals to enter a growing sector.

The AI and python qualification holds a high status within the industry meaning that upon completion, learners will have entry into the programming sector and can path the way for the future of artificial intelligence and software technologies

    Become a Qualified Data and AI Consultant, AI Developer

    Distance Learning

    Online Support

    Flexible Learning

    Excellent Study Material

    No Exams

Entry Requirements

There are no specific entry requirements however learners should have a minimum of level two in literacy and numeracy or equivalent.

The qualification is suitable for learners of 16 years of age and above.

Assessment

You can start this course at any time, and you would be registered for a one year period. You also have access to a personal tutor who can be contacted through the online platform or by email. Your tutor is available to assist with any queries and to mark your assignments for the Awarding Organisation.

This course assesses your knowledge with a variety of end-of-unit assignments. These assignments will be submitted to your tutor for feedback, facilitating your learning and progression. The qualification is assessed by internally set and marked assessments subject to external quality assurance. All learning outcomes and assessment criteria must be met to achieve a pass - there is no grading.

As the course is self-study, you can complete it as quickly as you like. Support extensions are available if students do not complete the course within the one-year period

Progression

Successful learners can progress to other qualifications such as:

    Level 4 Diploma in Software Development

    Software Development technician Apprenticeship standard. Successful learners can apply for job roles such as Data and AI Consultant, AI Developer

Total Credits 24 Duration: 6 months-12 months
UNIT TITLE UNIT-REF LEVEL CREDIT VALUE
1
Introduction to Python

On completion of this unit you will:

  • Be able to use data types and operators in Python
  • Be able to use control flow in Python
  • Be able to use of functions in Python scripted
  • Be able to write Python Scripting
  • Understand Object- Orientated Programming
 J/650/0758 3 4
2
Understand libraries used for Python Programming

On completion of this unit you will:

  • Understand Anaconda library for python programming
  • Understand Jupyter Notebooks library for python programming.
  • Understand the use of NumPy and ndarrays for python programming
  • Understand Pandas library for python programming
  • Understand Matplotlib and Seaborn
 K/650/0759 3 4
3
Introduction to version control using GitHub for Python.

On completion of this unit you will:

  • Understand Version Control
  • Be able to create GitHub Repository and use commits for version control
  • Be able to work with remotes effectively for version control using GitHub.
  • Be able to tag, branch and merge for version control using GitHub.
  • Understand how to review a repositories history and undo changes.
  • Understand the importance for staying in sync with a remote repository for version control.
 T/650/0761 4 6
4
Linear Algebra Essentials for Neural Networks

On completion of this unit you will:

  • Understand the use of Vectors for Neural Networks
  • Know how to use Line Combinations for Neural Networks
  • Understand Linear Transformation and Matrices for Numpy library
  • Understand Neural Networks for Linear Algebra
 Understand Neural Networks for Linear Algebra 3 3
5
Calculus Essentials for Neural Networks

On completion of this unit you will:

  • Understand Neural Networks
  • Understand Derivatives
 A/650/0763 3 2
6
Introduction to Neural Networks

On completion of this unit you will:

  • Introduction to Neural Networks
  • Understand the importance of implementing gradient descent
  • Be able to train Neural Networks
  • Be able to use deep learning with PyTorch.
 D/650/0764 4 5