Diploma

Artificial Intelligence & Machine Learning — Beginners

A 100% online, hands-on programme designed to introduce beginners and non-programmers to AI fundamentals, machine learning algorithms, data analysis, and real-world AI applications.

€290

Enrol now →Speak to admissions →
Data Science

At a glance

Credential
Diploma
Faculty
Data Science
Duration
3–6 months
Format
Online, English
Next intake
January
Tuition
€290

About this programme

Artificial Intelligence & Machine Learning — Beginners

With companies investing billions in AI technologies , skilled professionals in AI and ML are in high demand worldwide. The Diploma in Artificial Intelligence and Machine Learning (Beginners) is a 100% online, hands-on program designed to introduce beginners and non-programmers to AI fundamentals, machine learning algorithms, data analysis, and real-world AI applications . Whether you want to kickstart a career in AI, automate business processes, or simply understand how AI is shaping the world , this program provides a step-by-step learning experience to help you grasp AI concepts, build basic models, and explore AI’s impact on industries .

Why choose this programme

  1. 01

    100% Online & Beginner-Friendly – No prior coding experience required.

  2. 02

    Learn from Industry Experts – Gain insights from AI engineers, data scientists, and tech innovators .

  3. 03

    Hands-On Learning – Work on real AI projects, from chatbots to image recognition .

  4. 04

    Explore the Latest AI Trends – Understand ChatGPT, OpenAI, automation, and deep learning .

  5. 05

    Master Essential AI & ML Tools – Work with Python, TensorFlow, and Scikit-Learn .

What you'll learn

On graduation, you will be able to:

  • Understand the Fundamentals of AI & Machine Learning – Learn how AI mimics human intelligence and how ML models make predictions .

  • Work with Data & Algorithms – Learn how AI processes large datasets, recognizes patterns, and automates decision-making .

  • Build & Train Basic AI Models – Create simple AI applications like chatbots, recommendation systems, and image recognition tools .

  • Explore AI Ethics & Bias – Learn about responsible AI, ethics, and the impact of AI on society .

  • Understand AI in Business & Industry Applications – Discover how AI is transforming finance, healthcare, marketing, and automation .

  • Develop a Portfolio of AI Projects – Work on real-world AI challenges to showcase your skills .

Career horizons

Where alumni land.

  • AI Research Assistant – Assist in data preparation and AI research projects .
  • Machine Learning Engineer (Entry Level) – Work on basic ML models and AI applications .
  • Data Analyst – Use AI-powered tools to analyze business and industry data .
  • AI Product Consultant – Help businesses adopt AI for automation and efficiency .
  • Automation Specialist – Design AI-driven solutions for business process automation .
  • AI Startup Founder – Develop AI-powered business ideas, chatbots, or SaaS products .

Curriculum

5 modules across 3–6 months.

Asynchronous-first delivery. Each module opens with a live cohort seminar, followed by structured study, an applied assignment, and faculty feedback.

  1. 01

    Introduction to AI & Machine Learning

    Learn how AI and ML work, and how they are transforming industries. Understand the difference between AI, ML, and Deep Learning.

  2. 02

    Machine Learning Fundamentals & Algorithms

    Learn about supervised vs. unsupervised learning. Explore decision trees, neural networks, and predictive models.

  3. 03

    AI Tools & Technologies (Python, TensorFlow, Scikit-Learn)

    Learn how to use Python for AI & ML applications. Work with TensorFlow & Scikit-Learn to train basic AI models.

  4. 04

    AI in Business, Automation & Real-World Applications

    Discover how AI is transforming finance, healthcare, marketing, and self-driving cars. Learn how AI-powered automation saves businesses time and money.

  5. 05

    AI Ethics, Security & Future Trends

    Understand the ethical challenges of AI, including bias and job automation. Explore future AI trends like Quantum AI, robotics, and AGI (Artificial General Intelligence). Final Project: Build a beginner-friendly AI model or application using the tools and techniques learned throughout the program.

Admission

What we look for.

Admission to the Diploma is reviewed by a faculty panel. Decisions are returned within fourteen days of a complete application.

Begin an application →

You will need

  • 01No prior programming required.
  • 02Application.
  • 03Background overview.

To complete

  • 01Coursework, project portfolio.

Tuition

One programme. One transparent fee.

Includes coursework, faculty supervision, examinations and the accredited credential.

Full tuition table →

Programme tuition

€290

Enrol now →

What it covers

  • Full programme curriculum and asynchronous content
  • Live cohort seminars and faculty office hours
  • Personal academic supervisor
  • Examinations and the accredited credential
  • Apostille-eligible degree (Hague Convention)
  • PMU Alumni Network & Career Hub access

Tuition shown in euros. EU VAT may apply depending on the candidate's country of residence. All major cards, SEPA and PayPal accepted.

Frequently asked

Questions worth answering.

Is this programme genuinely 100% online?
Yes. The Diploma is delivered fully online, asynchronous-first, with live cohort sessions punctuating each module.
What credential is awarded?
On successful completion, candidates are awarded the Diploma in Artificial Intelligence & Machine Learning (Beginners) by Paris Metropolitan University. The credential bears the institutional seal.
How much time should I commit each week?
A working baseline of eight to ten hours per week. The programme is paced for adults in role.
Are there prerequisites?
No prior programming required. Application. Background overview.
Do you offer financial assistance?
Need-based fee remission is available; speak to admissions before applying so we can discuss the right path for your circumstances.
Can I defer my admission?
Admitted candidates may defer once to a subsequent intake within twelve months, at no additional cost.
Is the credential recognised internationally?
PMU is an ACBSP candidate, an EAHEA institution, and registered under French private higher-education law. Credentials are honoured worldwide.
What happens after graduation?
Alumni retain access to the institutional network, the journal, the careers practice, and library subscriptions.

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