This chapter presents advice on how to use AI to implement evidence-based teaching practices rapidly and effectively in an advanced computer science topic that lecturers may include in their tertiary classes. I covered mainly three teaching strategies that are effective but are difficult to use in practice due to time and effort constraints. I have demonstrated how AI may assist teachers in creating content that supports these strategies and improves student learning. Among the strategies are various examples and explanations; identifying and correcting student misconceptions; periodic low-stakes testing; monitoring student learning; and distributed practice. This chapter analyses both the benefits and drawbacks of this approach, stating that AI can work as a “Buddy Tutor” for instructors if deployed cautiously and intelligently in support of evidence-based practices. Moreover, in this chapter I have gone beyond the classroom setup and interviewed veteran IT practitioners to understand their perspectives on use of Artificial intelligence (AI) in the real-world that they expect the graduates to practice in. Thus, the research question that I will focus on is: How can AI be used as a tool for learning advanced database concepts? As an outcome I will explore the following deliverables: