TQUK
Level 3
QN: 610/0155/7
Curriculum Active
TQUK Level 3 Certificate in AI Programming with Python (RQF)
Official qualification regulated by Ofqual, awarded by TQUK. Classified as a Vocationally-Related Qualification. Total guided learning hours: 197 hours.
Qualification Level
Level 3
Awarding Body
TQUK
Syllabus Units
6 Units
Guided Hours
197 hrs
Instant access to interactive lessons, quizzes, and spaced revision.
Course Syllabus & Study Modules
Complete breakdown of verified curriculum topics and learning objectives.
1
Calculus Essentials for Deep Learning
Verified
Key Learning Objectives:
- Understand Deep Learning.
- Understand Derivatives.
2
Introduction to Deep Learning
Verified
Key Learning Objectives:
- Introduction to Deep Learning.
- Understand the importance of implementing gradient descent.
- Be able to train Deep Learning.
- Be able to use deep learning with PyTorch.
3
Introduction to Python
Verified
Key Learning Objectives:
- 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.
- Be able to write Python Scripting.
- Understand Object-Oriented Programming.
4
Introduction to version control using GitHub for Python
Verified
Key Learning Objectives:
- 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.
5
Linear Algebra Essentials for Deep Learning
Verified
Key Learning Objectives:
- Understand the use of Vectors for Deep Learning.
- Know how to use Linear Combinations for Deep Learning.
- Understand Linear Transformation and Matrices for Numpy library.
- Understand Deep Learning for Linear Algebra.
6
Understand libraries used for Python Programming
Verified
Key Learning Objectives:
- 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.
Regulatory & Verification Details
- Qualification Number (QN)
- 610/0155/7
- Regulated Status
- Available to learners
- Awarding Body
- TQUK
- Qualification Type
- Vocationally-Related Qualification
- Operational Start
- Dec 2021