Basic artificial intelligence
Full training of LLMs (basic artificial intelligence)
Teaching the basics of transformers, attention mechanisms, working with APIs and setting up local models.
What will you learn in this course?
You start from the fundamentals of neural networks and the Transformer architecture, then study attention mechanisms in depth. After that you build real projects with commercial large language models (such as OpenAI GPT) and open-source ones (such as Llama and Mistral) using Python tooling. This is the foundational course for stepping into AI engineering.
Workshop syllabus
Transformer architecture and the attention mechanism (Attention Layer)
Setting up a Python environment and working with cloud and local model APIs
Text retrieval systems, or RAG (Retrieval-Augmented Generation)
Model optimisation and introductory fine-tuning
Coordinate your next route.
To find out about the schedule and conditions of the course, send your details so that we can contact you to coordinate.
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