Python Programming & Machine Learning - QLS Certificate

Imperial Academy

The demand for Python developers and machine learning specialists is accelerating rapidly, with the global AI market projected to grow by over 35% annually and Python remaining the world’s most widely used programming language. Businesses across finance, healthcare, technology and analytics are investing heavily in automation and data-driven intelligence, creating strong employment prospects with salaries often ranging from £35,000–£70,000+ per year. This expanding sector offers exceptional career stability and high-value opportunities for those equipped with the right technical skills.

This bundle is ideal for aspiring programmers, data enthusiasts, career changers and anyone looking to enter the fast-growing world of artificial intelligence. Whether your goal is to move into data analysis, support digital innovation or strengthen computational thinking, the skills gained here open doors across multiple modern industries.

Learners will build competence in Python programming, algorithmic thinking, model development and data processing. The course provides a strong foundation in essential coding principles and machine learning concepts, helping you gain the confidence to work with intelligent systems and analytical tools.

Enrol today to secure in-demand technical skills and position yourself for success in one of the fastest-growing fields of the digital era.

This bundle comprises the following courses:

QLS Endorsed Courses:

• Course 01: Diploma in Python Programming at QLS Level 5
• Course 02: Certificate in Machine Learning with Python at QLS Level 3

CPD QS Accredited Courses:

• Course 03: Azure Machine Learning
• Course 04: Complete Python Machine Learning & Data Science Fundamentals
• Course 05: Machine Learning Model Using AWS SageMaker Canvas
• Course 06: Statistics & Probability for Data Science & Machine Learning
• Course 07: 2021 Data Science & Machine Learning with R from A-Z

After completing this course, you will be able to:

• Write structured Python scripts that perform logical operations, automate tasks and support efficient problem-solving in various technical environments effectively.
• Apply core programming principles to build functional code that manages data, handles inputs and executes calculations using efficient computational methods.
• Analyse datasets using Python techniques that extract insights, reveal trends and support data-driven decision-making across multiple digital applications.
• Develop foundational predictive models by applying basic machine learning concepts that classify information and identify meaningful behavioural patterns reliably.
• Evaluate algorithm behaviour by testing performance, adjusting parameters and refining outputs to improve accuracy and model stability within projects.
• Implement code-based solutions that support automation, computational logic and streamlined processes using structured programming techniques effectively.
• Use analytical thinking to break complex tasks into steps, apply reasoning strategies and design efficient solutions for technical challenges confidently.
• Interpret machine learning workflows to understand how data preparation, training processes and evaluation stages influence predictive reliability.
• Apply coding best practices that enhance readability, maintain structure and strengthen long-term efficiency within programming projects and tasks.
• Integrate programming and analytical methods to produce consistent outputs that support data-focused work and intelligent computational operations efficiently.