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It covers how models interpret prompts, key prompt structure elements, and major techniques including zero-shot, few-shot, and chain-of-thought, along with iterative refinement. The syllabus also addresses limitations and risks such as hallucinations, bias, data privacy concerns, and responsible usage. It provides practical use cases across business, technical, and creative tasks.","CompTIA AI Prompting Essentials Course Outline  \n COMPANY OVERVIEW  \nFor over 25 years, Eric Reed Cybersecurity Training has been a trusted leader in cybersecurity education, equipping more than 60, 000 professionals with the skills needed to defend against emerging cyber threats. Our mission is t o empower individuals and organizations with comprehensive, hands‑on training that translates directly to real‑world success. Recognized with multiple industry awards—including an unprecedented 10‑time EC Council Instructor of the Year and 7‑time Circle of Excellence honoree—we combine innovative delivery methods with a passion for excellence to ensure our students achieve certification success on the first attempt  \nCOMPTIA AI PROMPTING ESSENTIALS  \nCompTIA AI Prompting Essentials is an entry-level certification focused on teaching individuals how to effectively interact with AI systems using prompts. It emphasizes practical skills for communicating with generative AI tools such as ChatGPT, image generators, and other AI-powered platforms.  \nThe certification is designed for professionals across industries who want to improve productivity, decision-making, and creativity by leveraging AI through well-structured prompts.  \n COURSE OBJECTIVES  \nUnderstand how generative AI models interpret prompts  \n Write clear, effective, and goal-oriented prompts  \n Use different prompting techniques (zero-shot, few-shot, chain-ofthought)  \n Refine and iterate prompts for better outputs  \n Identify limitations and risks of AI-generated responses  \n Apply prompting strategies across business, technical, and creative tasks  \n Evaluate AI outputs for accuracy, bias, and relevance  \nSALARY RANGE  \nAI+ → $60K-$110K  \nThese figures are approximate and depend on location, experience, and job role. Higher salaries are usually seen in major tech hubs and with significant experience.  \nWWW . LINKED IN . COM/ IN/ ERIC REED LIVE/  \nJOB ROLES  \nPrompt Engineer (Junior)  \nAI Content Creator  \nAI-enabled Marketing Specialist Business Analyst using AI tools Customer Support Specialist using AI assistants  \nTechnical Writer leveraging AI Operations or Productivity Specialist  \nONLINE LIVE &  \nON-DEMAND LIVE  \nAll the benefits of live, instructor-led training with the convenience of ondemand.  \n Online Live: Attend our scheduled sessions in real time ( Monday– Friday) . Get immediate interaction with the instructor and fellow students.  \n On-Demand Live: Access recordings of the most recent live sessions on your own schedule, while still having direct instructor support.  \n Flexible Scheduling: Choose a structured approach—one-week boot camp ( M–F), two nights a week for five weeks, or every Saturday for five weeks. Need more wiggle room? Adjust any schedule to fit your lifestyle!  \n\n| \u003Cbr>Contact Us | |\n| --- | --- |\n|  (707) 722-7333\u003Cbr> [info@ericreedlive.com](info@ericreedlive.com)[ ](info@ericreedlive.com) 1401 61st St S\u003Cbr>Gulfport, FL 33707\u003Cbr>|  |\n\nE R I C R E E D L I V E . C O M  \nCompTIA AI Prompting Essentials Course Outline  \nCOMPTIA AI PROMPTING ESSENTIALS OVERVIEW  \n1. Introduction to AI Prompting  \n What is prompting?  \n How generative AI works at a high level  \n Role of prompts in AI outputs  \n2. Prompt Structure Fundamentals  \n Instructions, context, and constraints  \n Role-based prompting ( \"Act as... \")  \n Output formatting techniques  \n3. Prompting Techniques  \n Zero-shot prompting  \n Few-shot prompting  \n Chain-of-thought prompting  \n Iterative prompting  \n4. Improving Prompt Quality  \n Clarity and specificity  \n Reducing ambiguity  \n Controlling tone and style  \n5. Use Cases for Prompting  \n Content creation (blogs, emails, scripts)  \n Data analysis and summaries  \n Coding assistance  \n Business workflows and automation  \n6. Evaluating AI Outputs  \n Accuracy and hallucinations  \n Bias and fairness  \n Relevance and completeness  \n7. Risks and Limitations  \n Overreliance on AI  \n Data privacy concerns  \n Misuse of AI-generated content  \n8. 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