AI Prompting Course

Congratulations on completing the core modules of the Prompt Academy AI Course! Let's review the key concepts we've covered.

1. Foundations We started by defining what a prompt is and understanding how LLMs work as predictive engines. We learned that clarity, context, and specificity are the pillars of effective prompting.

2. Techniques We explored a range of techniques from **Zero-Shot** and **Few-Shot** prompting to more advanced methods like **Chain-of-Thought** and **Self-Consistency**. Each technique serves a specific purpose and can be chosen based on the complexity of the task.

3. Frameworks We introduced structured frameworks like **COSTAR** and **CRISPE** to help you systematically construct high-quality prompts. These frameworks ensure you don't miss critical components like context, persona, and output format.

Next Steps Continue practicing! The field of AI is rapidly evolving. Experiment with different models, try new techniques, and stay updated with the latest research.