What you will learn
Course Syllabus
An introduction to AI concepts, debunking myths, and understanding its role in education.
Learning Outcomes
- Define AI in simple terms suitable for educators.
- Identify everyday examples of AI.
- Differentiate AI from regular software and search engines.
Lessons
AI in Simple Language for Teachers
Objective: Explain, in plain language, what artificial intelligence is and why it does not "think" the way a person does.
AI, Automation, Software, Search Engines and Calculators
Objective: Distinguish AI from automation, ordinary software, search engines and calculators.
AI in Everyday Life
Objective: Recognise familiar, everyday examples of AI and the boundary between "digital" and "AI".
What Generative AI and Large Language Models Do
Objective: Explain, at a basic level, what generative AI and large language models (LLMs) do — and why fluent output is not proof of truth.
Common Myths, Fears and the Teacher's Continuing Role
Objective: Correct common myths and fears about AI and articulate the teacher's continuing, irreplaceable role.
Module Assessment
Knowledge Check · 5 Questions
Visual Concepts
Comparison Chart
AI vs Automation Comparison
Resources
AI vs Automation Comparison Sheet
PDF classroom resource
Exploring practical applications of AI in school administration and classroom teaching.
Learning Outcomes
- Identify areas where AI can assist in school administration.
- Recognize the benefits and risks of AI in the classroom.
Lessons
The School AI Ecosystem
Objective: Map the people and tasks that AI touches across a school, and see the teacher's place in that map.
AI for Teacher Preparation
Objective: Identify the preparation tasks AI can genuinely help with, and internalise that **drafting is never approval**.
AI for School Administration and Communication
Objective: Identify safe administrative and communication uses of AI, and the privacy boundaries that must not be crossed.
Benefits, Limitations and Unintended Consequences
Objective: Weigh AI's benefits against its limitations and the unintended consequences of over-reliance.
Selecting the Right AI Use Case
Objective: Apply a repeatable six-step decision sequence to decide whether — and how — to use AI for a given task.
Module Assessment
Knowledge Quiz · 4 Questions
Visual Concepts
Comparison Chart
Benefits vs Risks Matrix
Delve deeper into the technical concepts underlying AI models, tailored for non-technical educators.
Learning Outcomes
- Understand how AI learns from data patterns.
- Explain the difference between Machine Learning and Generative AI.
- Identify what AI hallucinations are and how to spot them.
Lessons
Data and Patterns
Objective: Explain how AI learns from data and why the *quality* of that data shapes the output.
Algorithms, Models and Predictions
Objective: Describe the chain rule → algorithm → model → prediction without technical jargon.
Machine Learning and Generative AI
Objective: Distinguish the common types of machine learning and place generative AI among them.
How a Language Model Produces an Answer
Objective: Explain, at a basic level, how a language model builds an answer — and why answers vary and can be wrong.
Hallucinations, Confidence and Human Verification
Objective: Recognise hallucinations and misleading confidence, and apply the **VERIFY** routine to any AI output.
Module Assessment
Knowledge Quiz · 5 Questions
Visual Concepts
Flowchart
AI Concept Flow
Learn the art and science of communicating effectively with AI using the CRAFT framework.
Learning Outcomes
- Define what a prompt is.
- Apply the CRAFT framework to write structured prompts.
- Iterate and improve weak prompts to get better results.
Lessons
What Is a Prompt?
Objective: Explain what a prompt is and identify the parts that make one effective.
Building a Prompt with CRAFT
Objective: Build a complete, effective prompt using the CRAFT framework.
Prompts for Lesson Planning and Explanations
Objective: Write CRAFT prompts for lesson plans and concept explanations across subjects.
Prompts for Worksheets, Quizzes and Rubrics
Objective: Write CRAFT prompts that produce usable worksheets, quizzes and rubrics with the right assessment constraints.
Improving Weak Prompts and Outputs
Objective: Diagnose why a prompt or output is weak and improve it through iteration.
Module Assessment
Prompt Improvement Task · 4 Questions
Visual Concepts
Cycle Diagram
Prompt Improvement Cycle
Resources
Prompt Writing Practice Sheet
PDF classroom resource
Prompt Improvement Checklist
PDF classroom resource
Practical applications to save hours of administrative and prep time every week.
Learning Outcomes
- Generate lesson plans and worksheets quickly.
- Draft professional communications and report comments.
- Integrate AI smoothly into the weekly teaching workflow.
Lessons
AI-Assisted Lesson Planning
Objective: Use AI to produce a strong lesson-plan draft and refine it with professional judgment.
Differentiated and Inclusive Learning Resources
Objective: Use AI to adapt resources for diverse learners while keeping content inclusive and non-stigmatising.
Worksheets, Questions and Formative Checks
Objective: Verify AI-generated worksheets and formative checks for outcome alignment, distractor quality and diagnostic value.
Teacher Communication and Administrative Drafts
Objective: Draft communication and administrative material with AI while protecting privacy and keeping the teacher's voice.
Building a Weekly AI-Supported Workflow
Objective: Design a repeatable weekly workflow that uses AI efficiently, safely and sustainably.
Module Assessment
Artifact Review Task · 4 Questions
Visual Concepts
Flowchart
Teacher Productivity Workflow
Crucial guidance on student privacy, bias, and academic integrity when using AI tools.
Learning Outcomes
- Identify and mitigate bias in AI outputs.
- Protect Student Personally Identifiable Information (PII).
- Address academic integrity issues related to AI use.
Lessons
Human Agency, Accountability and Ethical Judgment
Objective: Explain why the teacher must stay in control of AI-supported decisions, and where human judgment is non-negotiable.
Student Privacy, Data Minimization and Anonymization
Objective: Protect student privacy using data minimisation, anonymisation and synthetic data.
Bias, Fairness and Cultural Representation
Objective: Recognise bias in AI output and address unfair or narrow representation.
Accuracy, Sources and Evidence
Objective: Check AI output for factual accuracy and verify sources and evidence.
Copyright, Originality and Academic Integrity
Objective: Handle copyright, originality, attribution and academic integrity appropriately in AI-supported work.
Module Assessment
Case Analysis · 5 Questions
Visual Concepts
Flowchart
Responsible AI Decision Tree
Resources
Responsible AI Classroom Checklist
PDF classroom resource
Strategies to introduce AI to your students safely and effectively.
Learning Outcomes
- Introduce AI concepts to students age-appropriately.
- Draft clear classroom guidelines for AI usage.
- Communicate effectively with parents about AI.
Lessons
Introducing AI to Students
Objective: Introduce AI to students in ways matched to their age and stage.
Classroom AI Agreements and Boundaries
Objective: Set clear, fair classroom agreements about when and how students may use AI.
Teaching Students to Question AI Output
Objective: Teach students to critically evaluate AI output — finding errors, comparing sources, spotting bias, revising answers.
Parent and School Communication
Objective: Communicate responsibly with parents and school leaders about classroom AI use.
Low-Resource and No-Device AI Literacy Activities
Objective: Run inclusive AI-literacy activities that need few or no devices.
Module Assessment
Classroom Readiness Plan · 4 Questions
Resources
Student Responsible AI Pledge
PDF classroom resource
Parent Communication Draft about AI Use
DOCX classroom resource
Capstone module where you apply your learning to earn your AI Saathi Certification.
Learning Outcomes
- Design a complete AI-supported lesson plan.
- Develop an accompanying student handout.
- Reflect comprehensively on the ethical use of AI.
Lessons
Understanding the Capstone and Rubric
Objective: Understand what the capstone requires, how it is scored, and what causes failure or resubmission.
Create an AI-Supported Lesson Plan
Objective: Produce a complete AI-supported lesson plan with a prompt-iteration log and a verification record.
Create a Student Resource or Assessment
Objective: Develop one student-facing resource or assessment with AI, fully reviewed and with answer guidance.
Create a Responsible-AI Classroom Plan
Objective: Create a practical responsible-AI plan for your own classroom.
Reflection and Portfolio Submission
Objective: Reflect on your AI practice and submit a complete, declared portfolio.
Module Assessment
Capstone Portfolio Submission · 20 Questions
Visual Concepts
Checklist
Portfolio Progress Checklist
Resources
Teacher Portfolio Submission Template
DOCX classroom resource
Certification Portfolio Rubric
PDF classroom resource
AI can draft, but it does not understand or verify. You remain responsible for the accuracy, fairness, privacy and classroom-appropriateness of anything you use.