Course
Retrieval-Augmented Generation (RAG)
Duration
3 weeks
Levels
Beginner
Format
Blended Learning
Next Group Start
Jun 16, 2026
Design smarter AI solutions powered by your own data
Learn how to connect large language models (LLMs) to your organizationโs data with the Retrieval-Augmented Generation (RAG) framework โ one of the most practical and high-impact AI techniques today.
In this course, youโll discover how to make generative AI systems more accurate, reliable, and context-aware, giving your business a true competitive edge.ย From setup to deployment, youโll learn how to apply RAG to real-world use cases, making AI not just powerful โ but truly useful.
Boost your career
- Improved career opportunities and higher earning potential
- Optional access to top internships in the data world
- Direct access to an online blended learning environment
- A head start on advancing to expert positions
What to expect from this course?
After this course
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Understand how Retrieval-Augmented Generation works and when to use it
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Be able to build and deploy your own RAG-powered applications
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Combine vector databases, embeddings, and LLMs to improve accuracy and relevance
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Confidently explain the benefits and limitations of RAG to non-technical stakeholders
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Take the next step in your AI career โ from concept to implementation
Discover our unique learning approach
What does Amsterdam Data Academy have to offer you?
Amsterdam Data Academy has been offering this bootcamp for 7 years and has trained more than 1,500 individuals. We understand that learning something new isn’t always easy. That’s why we developed our blended learning method, which focuses on a personal approach.
Blended Learning
We provide online learning with highly interactive live sessions.
Personal approach
We have a limited amount of students per course to give you all the personal attention you need.
Official Diploma
Receive the official diploma from the number 1 data educator in the world.
Teachers of this course
Learn from the best in the business. Our Amsterdam data course is taught by seasoned practitioners with decades of hands-on experience at top global companies.
Akos Steger
Akos is a linguist turned data scientist with expertise in language technologies, including AI in Language Technologies such as voice assistants, language learning apps, and RAG applications. With over a decade of teaching experience and 4 years in tech, he combines a passion for AI with a deep understanding of communicationโhelping Amsterdam Data Academy students apply AI effectively in real-world projects.
Ali Hurriyetoglu
Bram Bregman
Don't let budget stop you.
From UWV support to 0% interest TechMeUp loans and flexible installment plans โ we’ve made sure cost is never the reason you don’t start.
Score
Enroll Now
Ready to join over 2500+ graduates?
Duration
3 weeks
Levels
All Levels
Format
Blended Learning
Next Group Start
Jun 16, 2026
Retrieval-Augmented Generation (RAG)
A hands-on, practical learning experience where youโll build and deploy real RAG-powered AI applications guided by industry experts.
The course includes
- Interactive live sessions
- Access to learning platform
- Personal help by your teacher
- Access to community group
- Official certified diploma
What you'll learn
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Fundamentals of LLMs and retrieval-based AI architectures
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Building vector databases and creating embeddings for custom data
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Designing a retrieval pipeline to fetch relevant context dynamically
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Connecting RAG systems to OpenAI, LangChain, and similar frameworks
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Deploying and optimizing RAG solutions for production environments
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Addressing data quality, privacy, and performance trade-offs
Frank Mulders
Nationale golfbond
The instructor took us on a playful, educational, and effective learning journey
Marjolijn van 't Oost
Travel company
We can certainly recommend the training to others
Marcel van Brienen
Marketer
We immediately started working on ML models for our clients
David Roose
Data analist
Dive into data science
Wilbert Groenewoud
Engineering agency
This course is perfectly accessible even without prior knowledge of data
Hanna de Gruijter
Data Scientist
Especially the assignments were very enjoyable to work on
Remko de Jongste
Data Scientist
Due to the course, the promotion quickly became a reality for me
Pascal Bovy
Freelancer
A great introductory course to explore the world of data science
Navneeta Sahal
Data Analyst