Applied AI & Data Science Diploma

Who this is for

What you'll learn

• Apply Python, SQL, and modern AI frameworks to real-world data problems.
• Build and deploy machine learning and deep learning models.
• Design end-to-end data pipelines and analytical workflows.
• Evaluate AI systems for reliability, bias, and ethical considerations.
• Communicate data insights to technical and non-technical audiences.

The program

Multiple courses of a few weeks each, building on one another.

1. 1

   Data Fundamentals Course

   3 weeks

   Build your foundation in data: the landscape, the tools and the statistics behind every data role. The starting point for the Data & Analytics, Data Science and Data Engineering bootcamps.

   Taught by Patrick Pisani

2. 2

   Data Storytelling Course

   3 weeks

   Learn to present data in a compelling way that sticks. This course teaches you the most important strategies to visualize and communicate your data effectively.

   Taught by Fatemeh Ghaderinezhad, Steven Nijman

3. 3

   Microsoft Excel Essentials Course

   3 weeks

   Maximize your efficiency in using Microsoft Excel. This Essentials course covers all basic functionality and is specially designed to help you increase your productivity with large datasets.

   Taught by Lucia Riscado Cordas

4. 4

   Data Visualization with Power BI Course

   3 weeks

   Do you struggle with making data understandable and impactful? Our course teaches you data visualization skills with hands-on experience building dashboards in Power BI.

   Taught by Ben Galili

5. Final Assignment: Data Analytics

   3 weeks

   The closing module of the Data & Analytics Bootcamp — apply everything you've learned to a real, practical data analytics project.

   Taught by Lucia Riscado Cordas

6. 5

   Programming with Python Course

   3 weeks

   Do you want to leverage Python, the leading programming language for data scientists, to perform powerful calculations on large datasets?

   Taught by Nicholas Kosmicki

7. 6

   Machine Learning with Python Course

   3 weeks

   Learn how to build machine learning models in Python. This course covers common libraries, Pandas, and Scikit-Learn to build your own ML models.

   Taught by Akos Steger

8. 7

   Deep Learning with Python Course

   3 weeks

   Dive into the fundamentals of neural networks, covering architectures like CNNs, RNNs, and transformers for image recognition, NLP, and advanced AI applications.

   Taught by Johanna Ott

9. Final Assignment: Data Science

   3 weeks

   The closing module of the Datascience bootcamp — apply everything you've learned to a real, practical data science project.

   Taught by Akos Steger

10. 8

    SQL Foundations Course

    3 weeks

    Learn the fundamentals of SQL for working with structured data. Covers advanced techniques including subqueries, window functions, and CTEs.

    Taught by Lucia Riscado Cordas

11. 9

    Fundamentals of a Data Stack Course

    3 weeks

    Do you work extensively with data and want to elevate your skills? Learn to use essential tools that streamline data processing, save time, and enable you to work independently.

    Taught by Ali Hurriyetoglu

12. 10

    Azure Data Fundamentals Course

    3 weeks

    Want to build a solid foundation in cloud data management with Microsoft Azure? Learn to work with Azure services for data storage, processing, and analytics.

    Taught by Ali Hurriyetoglu

13. Final Assignment: Data Engineering

    3 weeks

    The closing module of the Data Engineering Bootcamp — apply everything you've learned to a real, practical data engineering project.

    Taught by Sabine Joseph

14. 11

    AI Fundamentals Course

    3 weeks

    The foundation course for every AI professional. Understand what AI is, how large language models work, and how to apply generative AI in your own field.

    Taught by Patrick Pisani

15. 12

    AI Literacy & Ethics Course

    3 weeks

    Explore the ethical, legal, and social implications of AI including the EU AI Act. Learn to evaluate and design responsible AI strategies.

    Taught by Hanan ElNaghy

16. 13

    Vibe Coding with Lovable Course

    3 weeks

    The way we build software has fundamentally changed. In this hands-on course you'll learn to describe what you want to build and let AI do the heavy lifting — no coding background required.

    Taught by Marta Strykowska

17. 14

    Building AI Agents Course

    3 weeks

    Build your own AI agents, no coding needed. Learn to design agents that perceive, reason, act, and remember, then build and automate them with no-code tools like n8n and Claude.

    Taught by Marek Durcek

18. 15

    Retrieval-Augmented Generation (RAG) Course

    3 weeks

    Learn RAG, a cutting-edge technique that enhances LLMs with external knowledge. Combine vector databases with LLMs to build accurate, grounded AI applications.

    Taught by Akos Steger

19. Final Assignment: Applied AI

    3 weeks

    The closing module of the Applied AI Bootcamp — apply everything you've learned to a real, practical AI project.

    Taught by Sabine Joseph

20. 16

    Engineering AI Solutions on Azure Course

    3 weeks

    Learn to work with Azure to design, develop and deploy AI-powered solutions including NLP, Generative AI, and Computer Vision.

    Taught by Akos Steger

21. 17

    Building AI Agents with LangChain Course

    3 weeks

    Learn LangChain, a powerful framework for building applications with large language models. Connect models to external data sources and build custom AI agents.

    Taught by Rohit Kumar Singh

22. 18

    Programming with AI (Claude Code) Course

    3 weeks

    AI-assisted development is the new normal. In this hands-on course you'll learn to direct Claude Code as an agentic coding tool inside a real repository — from context engineering to spec-driven, production-ready delivery.

    Taught by Tristan Bains

23. Final Assignment: AI Engineering

    3 weeks

    The closing module of the AI Engineering Bootcamp — apply everything you've learned to a real, practical generative AI project.

    Taught by Ali Hurriyetoglu

Optional, after your bootcamp: internship & career counseling →

What a week looks like

Every course in this bootcamp runs for 3 weeks, and every week looks like this.

8 hours per week

Teachers for this bootcamp

Patrick Pisani

Data Science, Applied AI & Analytics Education

Patrick is a Data & AI Specialist with an MSc in Data Analytics and extensive experience across finance, tech, and government sectors. Specializing in Python, SQL, and predictive analytics such as e-commerce forecasting models, he guides cohorts through core data engineering, applied statistics, and machine learning principles at Amsterdam Data Academy.

Courses in this bootcamp

• Data Fundamentals
• AI Fundamentals

Fatemeh Ghaderinezhad

AI Transformation and Strategy

Fatemeh holds a PhD in statistics and founded a consultancy helping SMEs through AI transformation. She teaches Data Storytelling.

Courses in this bootcamp

• Data Storytelling

Steven Nijman

Data Storytelling and Visualisation

Steven is a data visualization specialist at Jaaf Information Design, with a background in data journalism and a PhD in epidemiology. He combines analytical skills with visual storytelling to turn complex data into clear, impactful narratives.

Courses in this bootcamp

• Data Storytelling

Lucia Riscado Cordas

Data Analysis (SQL & Excel), Data Storytelling & Visualisation

Lucia has 5+ years of professional experience in SQL-based data analytics and now runs her own Data Storytelling & Visualisation Design practice. She teaches Excel and SQL and assesses final assignments for the Data Analytics bootcamp.

Courses in this bootcamp

• Microsoft Excel Essentials
• SQL Foundations

Ben Galili

Python, SQL, Power BI, AI Agents, Data Storytelling, Tableau, Excel, R

Ben has broad industry experience including eBay and Dell, and teaches across Python, SQL, Power BI, data storytelling, and AI agents in the Analytics and Data Engineering bootcamps.

Courses in this bootcamp

• Data Visualization with Power BI

Nicholas Kosmicki

Programming with Python

Nicholas works with early stage startups to develop their products prior to funding rounds, and teaches Programming with Python.

Courses in this bootcamp

• Programming with Python

Akos Steger

RAG, Language Technology, Deep Learning

Akos trained originally as a linguist before moving into AI and language technology, and now teaches machine learning, RAG, deep learning, and language-technology courses.

Courses in this bootcamp

• Machine Learning with Python
• Retrieval-Augmented Generation (RAG)
• Engineering AI Solutions on Azure

Johanna Ott

Deep Learning and Computer Vision

Johanna Ott is a Senior Deep Learning Engineer who builds computer vision systems for medical screening. She teaches a range of courses, from Prompt Engineering to Deep Learning with Python.

Courses in this bootcamp

• Deep Learning with Python

Ali Hurriyetoglu

Data Engineering, Data Stack, Machine Learning, Natural Language Processing

Ali holds a PhD and degrees in cognitive science and computer engineering, and teaches data pipeline, data stack, and AI model courses, drawing on academic teaching experience at Middle East Technical University (METU) and Koç University.

Courses in this bootcamp

• Fundamentals of a Data Stack
• Azure Data Fundamentals

Sabine Joseph

Data Science, Machine Learning, AI

Sabine is a data science and AI instructor with over 10 years of experience in data science, machine learning, and AI. She specializes in teaching machine learning, generative AI, and practical AI workflows through hands-on, applied training. Previously at Microsoft and Accenture, she led and delivered data and AI projects for global organizations. She holds a PhD in Cognitive Neuroscience from University College London.

Hanan ElNaghy

AI Literacy, AI Ethics, Machine Learning, Computer Vision, Deep Learning, Business Intelligence, Digital Heritage

Hanan ElNaghy is a Blended Learning Lecturer at Amsterdam Data Academy, where she teaches AI Literacy, AI Ethics and Machine Learning to professionals who want to understand and apply AI responsibly and ethically in their work. She is also an Assistant Professor at The American University in Cairo, teaching across the School of Sciences and Engineering and the Onsi Sawiris School of Business. She holds a PhD in Computer Vision from the University of Amsterdam, where her research on 3D digital heritage was part of the EU Horizon 2020 GRAVITATE project, and her work has been published in leading international journals and conferences. With over 18 years of experience across academia, research and industry, Hanan brings academic depth and applied, real-world insights to every learning environment.

Courses in this bootcamp

• AI Literacy & Ethics

Marta Strykowska

Vibe Coding and AI-Native Apps

Marta has over a decade of experience building digital products and now focuses on AI-native app development. She teaches Vibe Coding.

Courses in this bootcamp

• Vibe Coding with Lovable

Marek Durcek

AI Agents for Marketing and Sales

Marek is an independent AI consultant specializing in practical AI implementations, with a strong focus on sales and marketing operations. He helps teams turn complex processes into clear, scalable workflows. He also teaches Building AI Agents at Amsterdam Data Academy.

Courses in this bootcamp

• Building AI Agents

Rohit Kumar Singh

AI Engineering and LangChain

Rohit spent nine years at IBM building production AI systems, including RAG pipelines and LangChain applications on Azure and AWS, and teaches AI Engineering and LangChain app-building.

Courses in this bootcamp

• Building AI Agents with LangChain

Tristan Bains

Head of Technology

Tristan builds the technology behind the academy: our learning platform, the automations that keep everything running, and the adaptive learning work that personalises how you move through a programme.

Courses in this bootcamp

• Programming with AI (Claude Code)

Choose your format

The content, the teacher and the certificate are the same in all three formats. What differs is the focus and the planning, and that's reflected in the price.

Frequently asked questions