Practical Artificial Intelligence: Prompting, Tools, and Everyday Workflows

Artificial intelligence is reshaping how we write, analyze information, and solve problems, yet many users only scratch the surface of what these tools can do. This text-based guide demystifies generative AI and equips you with the structured techniques needed to produce reliable, high-quality results in everyday tasks. You will move beyond basic questions to master systematic prompting strategies, understand model limitations, and apply modern AI workflows effectively. What you'll learn: - Understand core AI terminology, foundational concepts, and how large language models process information - Master structured prompt engineering techniques including zero-shot, few-shot, and role-based framing - Apply AI tools to summarize complex texts, draft content, and structure unstructured data - Learn modern concepts like context management, hallucinations, and basic retrieval patterns - Implement ethical considerations, data privacy principles, and quality verification workflows The course begins with clear explanations of basic vocabulary and architectural concepts before moving into practical text exercises and step-by-step written scenarios. This course is designed for absolute beginners and professionals looking to build practical digital literacy without any prior technical or programming background. Start reading today to unlock the full potential of artificial intelligence in your daily work.