daBongo LMS AI Training Courses

Course Learning Outcomes

By the end of this course, students should be able to:

• Apply advanced reasoning patterns such as Chain-of-Thought, Tree-of-Thought, and self-consistency to complex tasks
• Design and run structured self-critique and multi-perspective review loops
• Decompose ambiguous or multi-part problems into clear, manageable steps with explicit assumptions
• Compare alternative solution paths and document trade-offs with supporting rationale
• Maintain rigorous verification habits and clearly communicate uncertainty in AI-assisted work

Course Notes for Instructor Review

This course assumes students have already completed foundational training on goal definition, context, structured output, basic iteration, and verification habits. It focuses on higher-order reasoning techniques and multi-step problem solving. All examples are educational. Students are reminded that even advanced techniques do not remove the need for human judgment on consequential matters. Review for accuracy on current model behaviors as interfaces and capabilities evolve.

—