Wrap Up

In this course, you learned how to:

• Explain the function of a token in the context of large language models (LLMs) and generative AI
• Explain the importance of prompt engineering
• Demonstrate the most common prompt engineering techniques
• Explain the importance of context engineering
• Explain the difference between reasoning models and traditional LLMs
• Describe the key components of an Agentic AI system, including Tools, Memory, and Planning

What’s Next

In the final course of the AI Fundamentals Learning Path, you'll learn about reinforcement learning and how you can use it to create personalized marketing experiences.

Once you've completed this path, you'll be ready to take the Braze AI Fundamentals Certification exam to validate your knowledge on the topic. Learn more about the Braze AI Fundamentals Certification on Braze Learning.