This course takes you on a comprehensive journey from beginner to advanced prompt engineering, starting with setting up your development environment and understanding the basics of API usage with OpenAI and Anthropic models. You'll learn foundational concepts such as tokenization, context windows, and log probabilities, and how to manage API costs while optimizing performance. As you progress, you'll master structuring prompts, including practical labs on persona setting, few-shot learning, and chain-of-thought prompting. These techniques will help you refine AI outputs for specific tasks. Through hands-on projects like building AI-powered Git commit message generators and AI code reviewers, you'll gain real-world experience with designing and deploying AI solutions. In the final sections, the course dives into advanced topics such as function calling, self-critique, and output structuring. These techniques ensure that the AI systems you build are efficient, reliable, and easy to maintain. By the end of the course, you’ll be equipped with the skills to tackle complex AI challenges, create maintainable systems, and apply prompt engineering strategies to a wide range of use cases. This course is ideal for anyone looking to unlock the potential of AI in real-world applications.