What do students learn in the SAAI Cricket Intelligence Training Program?

The learning journey connects cricket reasoning with software and AI engineering. Students begin by translating cricket questions into inputs, formulas, conditions and expected outputs. They create APIs with clear schemas, validation, service logic and documented endpoints. They then explore richer analytical questions involving batter, bowler, fielder, team, match and tournament performance. Depending on the pathway, learners may train machine learning models, export model artifacts and expose predictions through APIs. The final system can connect analytical services to an LLM-based agent that selects the right tool, retrieves evidence and produces a grounded response. Students also practise localhost testing, Swagger documentation, GitHub version control, deployment, integration testing, error handling and final project defence.