Fullstop Learning Course outline
AI Engineering
Progress from Python, data and machine learning to LLM applications, retrieval, evaluation and deployment.
3 months · 12 weeks · 300 guided course hours. Explore the curriculum, then talk with us about schedule, fees and delivery options.
Course focus
Skills and practice
- Python, data analysis, SQL and mathematics
- Machine learning, PyTorch, transformers and LLMs
- RAG, evaluation, tools and deployment
3-part curriculum
A practical path, one module at a time.
Each module follows the supplied course outline. Weekly topics and representative project work are shown below.
Python, Data and Mathematics
Python fundamentals · Python for applications · Data analysis and SQL · Mathematics for AI
Practical work: Clean and analyse a dataset, then implement a simple prediction model with NumPy.
Machine Learning and Deep Learning
Machine learning basics · Evaluation and improvement · Deep learning with PyTorch · Transformers and LLMs
Practical work: Customer-churn prediction, image classification and semantic-search exercises.
LLM Applications and Deployment
LLM application development · Retrieval-augmented generation · Evaluation and tool use · Deployment and portfolio
Practical work: Deploy a document assistant with citations, abstention and a validated read-only tool.