AI Engineering Bootcamp: PydanticAI, LLM and Modern AI Systems https://takzenai-hub.pl

This project involves creating a website for an AI Engineering Bootcamp, focused on PydanticAI, Large Language Models (LLM) and modern AI systems. The site was built using Next.js and serves as an interactive platform for students, allowing access to course materials, watching instructional videos, solving exercises and working on a mini-project.
During the bootcamp, participants will dive into various tools such as PydanticAI and LangFuse, gaining hands-on experience in building modern AI applications. The course covers key topics such as retrieval-augmented generation (RAG), PostgreSQL integration and application deployment in Docker. In addition, participants will use Pydantic for data schema management and input validation, ensuring data integrity in their projects.
Key project features:- Website built in Next.js, offering speed and a user-friendly experience.
- Comprehensive course content, including video tutorials, exercises and a final mini-project.
- Hands-on learning with an emphasis on coding and creating AI-powered applications.
- Integration of PydanticAI, LangFuse and Docker to teach real-world AI programming skills.
This project is designed to give developers the tools and knowledge to build modern AI-powered applications, with a focus on Large Language Models (LLM). Whether you are looking to expand your AI expertise or gain hands-on experience with the latest tools and technologies, this bootcamp offers a structured, hands-on approach to learning.
The site is fully responsive and designed to provide an engaging experience for learners. From easy navigation through course materials to clear access to all learning resources, the platform supports students at every stage of their AI programming journey.
Technologies used:- Next.js to build a modern, dynamic website.
- PydanticAI, LangFuse, Qdrant for building AI applications.
- PostgreSQL for database integration in AI-based systems.
- Docker for deploying applications in a containerized environment.
- Pydantic for management and validation of data schemas.
By the end of this bootcamp, participants will gain valuable AI engineering skills, gaining confidence in building their own AI-powered applications. This hands-on approach, combined with a solid project-based curriculum, ensures that students will be able to apply their knowledge in real-world scenarios.