Automated artificial intelligence teaching and learning environment system and method

A system, comprising:

• at least one processor;
• and
• at least one non-transitory computer readable memory connected to the at least one processor and including computer program code, wherein the at least one non-transitory computer readable memory and the computer program code are configured, with the at least one processor, to cause the system to perform at least:
• providing each capability stack of a plurality of capability stacks, wherein each capability stack provides capability-based training for an artificial intelligence (AI) agent, and wherein each capability stack of the plurality of capability stacks is associated with AI training for a respective set of capabilities, wherein the providing each capability stack includes:
• generating a trained AI agent by training the AI agent using first training data, wherein the training the AI agent includes training the AI agent to have at least one capability that is of the respective set of capabilities associated with the respective capability stack;
• and
• validating the trained AI agent by performing validation testing on the trained AI agent using first validation data that includes at least some synthetic validation data different from the first training data;
• selecting the AI agent from an AI agent pool according to performance of the AI agent after previous training;
• selecting an active capability stack from the plurality of capability stacks according to the set of capabilities associated with the active capability stack and capability requirements for capability based training needed for the AI agent;
• and
• acquiring a first validated AI agent by running the active capability stack for training of the AI agent on the set of capabilities.

A method, comprising:

• selecting an artificial intelligence (AI) agent from an AI agent pool according to performance of the AI agent after previous training and further according to capability requirements for capability-based training;
• and
• providing the capability-based training for the AI agent, wherein the providing the capability-based training includes:
• acquiring first training data comprising synthetic training data;
• generating a trained artificial intelligence (AI) agent by training the AI agent to have at least one capability associated with using the first training data;
• generating synthetic validation data different from the synthetic training data;
• validating the trained AI agent by performing validation testing on the trained AI agent using first validation data that includes the synthetic validation data;
• and
• providing the trained AI agent as a validated AI agent after the validating the AI agent.