Practical Advanced Prompt Engineering and AI Workflows

Artificial intelligence is changing how we work, but simple chat inputs only scratch the surface of what generative models can achieve. To truly leverage these tools, you must learn to direct them with precision, structure, and strategic intent. This text-only course guides you from foundational AI concepts to sophisticated prompting frameworks. You will transition from typing simple questions to building structured, multi-step instruction sets that produce reliable, professional-grade results. What you'll learn: - Understand foundational LLM mechanics, including tokenization, system instructions, and temperature settings. - Design advanced prompting frameworks such as few-shot prompting, chain-of-thought, and role-based instruction. - Structure AI outputs into predictable formats like JSON and markdown for integration into other tools. - Apply prompt chaining techniques to break down complex professional tasks into manageable, sequential steps. - Configure custom AI assistants with specific knowledge bases and behavioral guardrails. - Explore modern concepts like Retrieval-Augmented Generation to ground AI responses in accurate data. Starting with essential definitions and how language models process instructions, the course progresses step-by-step through practical prompting templates and workflow automation strategies. This course is designed for professionals and curious learners who want to elevate their AI skills, with no programming background required. Start mastering the art and science of prompt engineering today.