The Complete Ai Prompt Engineering Course for Teachers

Develop clear, specific prompts with strong context and action-oriented verbs. Apply these principles to lesson planning, student feedback, and creative tasks.

Explore basic prompt techniques, including zero short prompting, to elicit effective AI outputs from simple questions without prior context, such as explaining the Pythagoras theorem to a 10th grade class.

Explore few-shot prompting, a technique that guides AI responses by embedding example conversations and formats in the prompt, enabling structured teacher–student interactions.

Use role-playing prompting by assigning a specific role or persona to the AI, focusing on a single task for more accurate outputs, and tailor explanations for students.

Avoid common mistakes by crafting specific prompts, narrowing focus, and breaking tasks into manageable parts; set clear context with grade level, subject, and tone to guide AI output.

Learn advanced prompt patterns for teachers, highlighting the ask for input pattern to trigger AI to request user input before proceeding, with cross-model applicability.

Learn the question refinement prompt pattern to have AI refine questions, paragraphs, or prompts, get better question versions, and integrate patterns for effective prompt engineering for teachers.

The cognitive verifier pattern teaches teachers to use subdivided questions and their own data to generate accurate, personalized outputs from AI that align with explicit instructions.

Master the outline expansion pattern to turn a simple outline into in-depth bullet points and sub bullets for lesson plans and documents.

Explore advanced prompt patterns, including tail generation, semantic filter, menu actions, factor checklist, and chain of thought, to design effective prompts that guide AI outputs for teaching.

Explore the semantic filter pattern to remove unwanted or misleading information from ai output, evaluate accuracy, and tailor content by defining what to filter for different audiences.

Master the fact checklist prompt pattern to evaluate AI outputs, filter misinformation, and verify fundamental facts, ensuring accurate, reliable responses in prompt engineering for teachers.

Explains how to design a 45-minute photosynthesis lesson plan for 7th grade and compares AI tools for generating structured prompts, learning objectives, key concepts, hands-on activities, and assessment.

Explore interactive learning with AI by using role playing with AI, creative writing prompts, and real-time language practice to boost student engagement and critical thinking.

Explore notebook LLM to generate mind maps, study guides, and FAQs from pasted text, and use ai prompts app templates for image, video, or text prompts in education.

Create a custom AI assistant in OpenAI Playground by defining system instructions and selecting a model, then generate physics quizzes for seventh-standard students.

Explore freelance opportunities by applying your subject knowledge and prompt engineering to platforms like Outlier, Upwork, and Fiverr; build a strong portfolio and offer AI training services.

Conclude the course with final thoughts on prompt engineering for teachers and access the course document with project details for a master class on production-ready AI apps for Google Play.