AI Fundamentals: Practical Prompting and Responsible Use

Artificial Intelligence is rapidly reshaping industries and daily life. If you feel overwhelmed by the terminology or unsure how to effectively use modern AI tools, this course provides the clarity you need. Gain a solid, non-technical foundation in AI concepts, enabling you to confidently navigate the current landscape and responsibly integrate AI tools into your professional and personal workflows. What you'll learn: Understand the fundamental terminology and history of Artificial Intelligence and its subfields. Learn the core principles of Machine Learning, including supervised and unsupervised learning models. Apply effective prompt engineering techniques to maximize relevant and reliable output from large language models. Analyze the current landscape of AI tools and identify opportunities for practical application in work and daily life. Practice recognizing common issues like algorithmic bias and ethical considerations for responsible AI implementation. The course begins by defining key concepts and differentiating between various AI types. We then move into foundational machine learning principles before focusing on practical application, modern generative AI patterns, and responsible decision-making, supported by written explanations and exercises. This course assumes no prior knowledge of programming or advanced mathematics. Start building your foundational AI literacy today.