Build your skills in crafting, refining and testing prompts for generative AI applications with this free online course. This course teaches you the art of prompt engineering with Generative AI, guiding you in designing precise and effective prompts for high-quality outputs. You will gain a clear understanding of how AI models process information, how to set direction and how to apply chain-of-thought. This course was reviewed and approved by a qualified subject matter expert, Dr. S M Salim Reza, a PhD holder in Computer Science and a Virtual Assistant.
| College | Alison |
| Course ID | 201577 |
| Course Type | Online Learning |
| Course Qualification | CPD Certificate |
| Course Duration | 3-4 hours |
| Course Fee | Free |
| Entry Requirements | Like all courses on the Alison Free Learning platform this is a free, CPD-accredited course. A Graduate can choose to buy a certificate or diploma upon successful completion of a course, but this is not required or necessary. At Alison we believe that free education, more than anything, has the power to break through boundaries and transform lives. Alison is the world’s largest free online empowerment platform for education and skills training, offering over 5000 CPD accredited courses and a range of impactful career development tools. It is a for-profit social enterprise dedicated to making it possible for anyone, to study anything, anywhere, at any time, for free online, at any subject level. Through our mission, we are a catalyst for positive social change, creating opportunity, prosperity, and equality for everyone. |
| Career Path | What You Will Learn In This Free Course • Define the core concepts, scope, and terminology involved in prompt engineering and generative AI models • Explain the way tokens, context windows, temperature, and top-p affect language model outputs and behavior • Identify key use-cases and limitations of prompt engineering across various industries and domains • Distinguish between system prompts, user prompts, and techniques for setting clear instructions effectively • Generate prompts with tailored tone, style, and persona alignment to suit diverse audience requirements • Assess ambiguity, token budgeting, and validation checks to improve prompt reliability and accuracy • Apply chain-of-thought strategies to design stepwise prompts that encourage transparent reasoning paths • Compare methods for dialogue state tracking, slot filling, and session summarization in multi-turn designs • Create programmatic prompts using template variables, conditional logic, and automation tools efficiently • Evaluate prompt performance through A/B testing, cost optimization, and human feedback iterations • Categorize applications of prompt engineering in content generation, data tasks, and specialized domains • Discuss ethical concerns including bias, privacy, copyright, and hallucination management in AI systems |
| Course Code | 7842 |
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