College of Contract Management
United Kingdom

Increase your expertise to build intelligent solutions and work with complex data by gaining practical skills in the Professional Diploma in Artificial Intelligence and Machine Learning

Enrolment Options Subscription: £394.00 per 6 months – £394.00 single sign-up fee Full Price: £2,299.00 Pay Full Price →Choose Subscription →

Course Overview of the Professional Diploma in Artificial Intelligence and Machine Learning

The Professional Diploma in AI and Machine Learning provides a practical and structured pathway to the data science sector. Learners will get hands-on experience with no exam involved to ensure that they gain real-life skills rather than just textbook knowledge.

Tutors are available to support learners in their learning journey. They are practitioners and academic experts with years of experience and high-level industry skills. They are also supported by materials from reputable sources, such as books from MIT Press, AI official documentation, Journal of Machine Learning Research, and Python Data Science Handbook. You can freely ask questions, and the lecturers will answer your questions and help you clarify your concepts.

At the end of this course, students are expected to create a project relevant to the industry that is portfolio-ready. For example, they will create a project brief about building an LLM for a ChatGPT alternative or a CNN Model for infrared object detection. This type of portfolio helps them to stand out in the job market.

Why should you take the Professional Diploma in Artificial Intelligence and Machine Learning?

The Professional Diploma in Artificial Intelligence and Machine Learning is built for working professionals who want to move their career forward without pausing it: study at your own pace, on your own schedule, while gaining real, job-ready skills. With AI and machine learning having such an impact across industries nowadays, here’s what you’ll be getting with this course:

• Be up to date in the rapidly changing environment: many methods in AI change quickly; what was considered the latest trend several years ago is already out of date. You will get the knowledge that matches what is practiced in the industry now.
• Apply knowledge in practice: Move beyond the abstract concepts and focus on the practical use of the tools and platforms currently utilised in the industry of Machine Learning or AI.
• Career growth: Improve your skills in AI and machine learning by obtaining an accreditation for showcasing your knowledge to the employer, so that it can help you grow professionally in your career.
• No time limitations: Since this course is online learning, it won’t interfere with working hours and daily productivity.

Not sure if this course fits your career goals? Chat with an advisor today to see how this course can support your career journey.

Course Snapshot of the Professional Diploma in Artificial Intelligence and Machine Learning

Level	Postgraduate
Duration	12 months
Format	Online / Self-paced
Qualification	Professional Diploma in Artificial Intelligence and Machine Learning
Full Price	£2,299.00
Subscription Price	£394.00 per 6 months – £394.00 single sign-up fee

Pay Full Price →   Choose Subscription →

Practical Applications of the Professional Diploma in Artificial Intelligence and Machine Learning

The tutors at the College of Contract Management help students understand concepts through real-world case studies and projects. In the real world, you can use the skills you have learned in the following everyday situations:

1. Build a model to predict trends or results based on past business data.
2. Automate repetitive tasks like sorting or decision-making that have to be reviewed manually
3. Find and select the most suitable AI tools or suppliers for your team.
4. Prepare, clean and analyse large datasets to identify and utilise trends.
5. Build and deploy a machine learning solution for a business problem.

Learning Outcomes of the Professional Diploma in Artificial Intelligence and Machine Learning

By doing the Professional Diploma in Artificial Intelligence and Machine Learning course, students can learn how to:

• Find the structural issues that make it difficult to deploy AI, and establish best practices for ethical data governance and compliance.
• Use advanced visualisation and transformation techniques in the initial exploration of data to highlight important insights.
• Understand how to explain algorithms so that even the most complex machine learning decisions can be understood.
• Explore the biological foundations of CNNs and reinforcement learning to understand how computers can mimic aspects of how we see and react.
• Walk through the whole development process, from setting up the environment in Python to deploying a working Capstone model.

Course Content of the Professional Diploma in Artificial Intelligence and Machine Learning

The course covers key areas of Artificial Intelligence and Machine Learning across each module.

Download the syllabus for the Professional Diploma in Artificial Intelligence and Machine Learning →

01

Introduction to Data Science and AI Understand the historical context of data science and artificial intelligence Differentiate between data science and artificial intelligence Recognise data types and structures Appreciate real-world applications Identify key tools and technologies Acknowledge industry barriers Learn the technical skills you need to understand the big picture of how AI is changing and how it is used in business at the graduate level. Students will also learn about the use of data-driven workflows across industries, including healthcare, logistics, finance, and even the construction sector.

02

Data Management and Preprocessing Understand various data acquisition techniques Master data cleaning and preprocessing techniques Grasp the art of feature engineering Understand data transformation techniques Master data visualisation and exploratory data analysis (EDA) Data governance Develop advanced data collection and cleaning skills to turn raw datasets into high-quality assets ready for postgraduate-level analysis and modelling.

03

Introduction to Machine Learning Introduction to machine learning Probability for machine learning Statistics for machine learning Generalisation theory and bias-variance trade-off Evaluating predictive performance Advanced topics in performance evaluation Transparency and interpretability Hyperparameter tuning Improve your math and statistics so that you can use bias-variance trade-off analysis, state-of-the-art evaluation metrics, and hyperparameter tuning to maximise the performance of your model.

04

Neural Networks Neural networks Convolutional neural networks Biological basis for convolutional neural networks Reinforcement learning Machine learning with Python Building deep learning models with TensorFlow AI Capstone project with deep learning Master advanced Neural Network architectures and backpropagation with Computer Vision and LLM capstone projects in Python.

Who Should Take the Professional Diploma in Artificial Intelligence and Machine Learning?

The course is ideal and useful for:

• Data scientists who want to switch into machine learning jobs. Software developers who want to learn more about AI and machine learning.
• Engineers and IT professionals wanting to transition into more technical, AI-centric roles.
• People looking to change their career and have relevant working experience but want to start a role in data science.

Wondering if this is the right course for you? Tell us about your work experience so far and we can help you decide which course best fits your plans.

Career Paths Supported by the Professional Diploma in Artificial Intelligence and Machine Learning

Students taking this course will acquire valuable skills and knowledge of modern AI and machine learning. The skills you learn through this machine learning training can be applied to a wide variety of data, technology, and AI-related roles. This is especially effective when combined with the right skills, programming ability and project experience.

However, this course alone does not guarantee a high-salary job because the salary levels and the entry requirements vary according to the employer’s local qualifications and previous experience.

Role	Responsibilities	Annual Salary Average (UK)
AI and Machine Learning Specialist	Using AI and machine learning to solve specific business problems such as data cleansing, model making and deployment.	£50,000 – £90,000
Data Scientist	Analyses data, identifies trends and develops models to inform business decisions.	£55,000 – £85,000
Machine Learning Engineer	Use machine learning models in production systems and keep them functioning properly	£60,000 – £95,000
AI Product Manager	Bring together the business team and the technical team to help guide AI-powered products from concept to launch.	£65,000 – £90,000
AI Research Scientist	Conduct research and experimentation to develop new AI or ML models and algorithms.	£70,000 – £110,000

Note: The above salary range may vary depending on work experience, company policy, responsibilities, and project size.

Entry Requirements for the Professional Diploma in Artificial Intelligence and Machine Learning

This course is designed for learners with a basic understanding of programming and algorithmic modelling. Hence, strong basic knowledge in related topics is necessary to ensure students can complete the programme. The following requirements must be met before enrolling in the course:

1. Bachelor’s degree in a relevant field such as computer science, engineering, mathematics or data science.
2. Professional experience in AI, machine learning, or related fields is required.
3. Statistical analysis skills and understanding of data science; knowledge of coding using languages like Python, R, or MATLAB.
4. Basics of algorithms and data structures; knowledge of probability, statistics, calculus, and linear algebra is needed to solve assignments for this class.
5. Proficiency certificate (TOEFL/IELTS) is mandatory for foreign applicants applying for this programme.

Unsure if you meet the requirements for this course? Message us today and we can let you know if this course is suitable for you.

Course Delivery, Duration, and Assessment of the Professional Diploma in Artificial Intelligence and Machine Learning

Delivery The course is entirely conducted online. Students will be provided with 20 hours of instructor-led sessions per module, totaling 80 hours for 4 modules. Additionally, participants will be able to complete this course alongside home study at their own pace. Study materials, tutor support, and structured guidance will be provided throughout the course on our online learning platform Moodle.

Duration This Professional Diploma in Artificial Intelligence and Machine Learning course has 4 modules in total. Thus, this course can be finished in 12 months. However, it is fully online, allowing students to learn at their own pace.

Assessment Assessments include visual presentations, written reports, hands-on labs, and reflective exercises. These variations of assignments help learners to integrate the practical understanding needed in the industry. Therefore, all learning that students do will not only be useful for completing the programme, but also as proof of excellence.

Frequently Asked Questions About the Professional Diploma in Artificial Intelligence and Machine Learning

Q1. What is machine learning? Machine learning (ML) is a subset of artificial intelligence that enables computers to learn how to recognise patterns in data and make decisions or predictions based on that data.

Q2. How can I become an expert in AI/machine learning? If you want to be an AI or machine learning expert, get a degree in something related like computer science, math, or data science. Next, you can learn Python and the core tools of machine learning, and finally you can get training in related areas to gain hands-on experience and knowledge.

Q3. How much time should I schedule into my week? Each module has 20 hours of guided learning. So all 4 modules have 80 hours of guided learning. The course is self-paced, so you can find a time that fits with your other work and life obligations.

Q4. What lessons will I learn throughout this course? The course at the CCM contains 4 modules that cover key areas to learn AI and machine learning, starting from the Introduction to Data Science and AI until deep learning deployment.

Q5. What project will I create at the end of the course? At the end of the course, you will create a project that is portfolio-ready for the relevant industry. This type of portfolio will ensure that learners are capable and will stand out in the job market.

Q6. Will I have any exams for this course? No, you will not have any exams for completing this course, since this is fully assignment-based, with visual presentations, written reports, and practical labs.

Q7. What sort of jobs can I get after completing the course? After finishing this course, you can get several jobs such as AI and Machine Learning Specialist, Data Scientist, AI Product Manager, and AI Research Scientist.

Q8. How much is the salary for the roles in the AI and machine learning industry? Salaries will vary depending on the employer and the duties. Roles such as AI Research Scientist can earn £70,000 – £110,000 a year.

Q9. Do I need any prior background to enrol in the course? Yes, students with a relevant degree and basic knowledge of programming and algorithmic modelling are required for those who will enrol in the course.

Q10. What kind of skills are required to work in the AI and machine learning industry? Important skills include programming (especially Python ), experience with machine learning frameworks such as PyTorch, and relevant industry experience.

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