Students and lifelong learners
Use AI to explore ideas, support learning, organize study, and approach generated information with better judgment.
Beginner AI Course
AI for Everyday Life
A practical, no-code beginner AI course for people who want to learn artificial intelligence confidently for everyday life and work.
A Practical Beginner AI Course
Learn through plain-language explanations, instructor demonstrations, guided exercises, and careful review—without coding or technical experience.
Who this course is for
Professionals and career changers
Practice using AI for planning, communication, research, and everyday work while keeping people accountable for decisions.
Small-business owners
Explore careful ways to support content, organization, customer communication, and repeatable tasks without exposing sensitive information.
Parents, families, and community members
Understand the AI tools affecting daily life, education, work, services, and online information.
Skills you will build
- Explain AI and generative AI in plain language.
- Recognize useful, low-risk opportunities for AI assistance.
- Write prompts with clear goals, context, constraints, and formats.
- Refine drafts and compare outputs instead of accepting the first answer.
- Check claims, sources, privacy, bias, and missing context.
- Map a simple AI-assisted workflow with human approval points.
- Create a personal plan for continued, responsible practice.
Beginner expectations
Know What to Expect Before You Start
The course begins from the basics, but it is designed for active participation rather than passive promises.
Prerequisites
- No AI experience or coding knowledge is required.
- Basic comfort using a web browser, typing, and opening links is helpful.
- A laptop or tablet may be useful for practice; confirmed device and account requirements will be shared before enrollment.
- Bring curiosity, a real task you would like to improve, and a willingness to check AI output.
This course is not designed for
- Learners seeking advanced machine-learning engineering, model training, or programming instruction.
- Anyone expecting AI output to be automatically accurate or suitable without human review.
- People looking for a guaranteed job, income, credential, or business result.
- Organizations seeking a substitute for role-specific legal, medical, financial, security, or compliance advice.
Eight-module course
Full Curriculum, Lessons, and Exercises
Each module adds one practical capability and ends with an activity that turns the ideas into an observable skill.
What Is AI?
Build a plain-language foundation for understanding AI, what it can do, and where its limits begin.
Lesson summaries
- Recognize the difference between traditional software, automation, and AI.
- Describe training and prediction without technical mathematics.
- Question claims that treat AI as human intelligence or guaranteed truth.
Practical exercise
Sort familiar technologies into AI, automation, or neither, then explain the reasoning.
Module outcome: Explain core AI ideas accurately in everyday language.
AI in Daily Life
Notice how AI already influences search, recommendations, communication, services, and devices.
Lesson summaries
- Identify visible and less-visible examples of AI in common services.
- Consider what information a system may use to personalize an experience.
- Recognize when an automated result deserves a closer look.
Practical exercise
Create a personal AI map showing where AI may appear during an ordinary day.
Module outcome: Recognize AI in familiar settings and ask useful questions about its role.
AI for Everyday Tasks
Use AI to support planning, organization, communication, and idea development without handing over judgment.
Lesson summaries
- Choose tasks where AI assistance is useful and low risk.
- Turn a vague task into a clear request with context and constraints.
- Adapt an AI draft so it reflects the real audience and situation.
Practical exercise
Use AI to build and then improve a checklist for a real study, work, or home task.
Module outcome: Use AI as an assistant for a practical task while keeping control of the result.
Generative AI and Prompting
Learn how generative AI produces content and practice a repeatable method for clearer prompts.
Lesson summaries
- Describe what generative AI creates and why results can vary.
- Build prompts using a goal, context, constraints, and output format.
- Improve a response through follow-up questions instead of starting over.
Practical exercise
Write, test, and refine a prompt for a useful explanation, plan, or draft.
Module outcome: Create clearer prompts and improve outputs through an intentional conversation.
AI Agents and Automation
Understand the difference between a chatbot, an automated workflow, and an AI agent that can take multiple steps.
Lesson summaries
- Recognize when a system is answering versus acting.
- Break a multi-step task into inputs, actions, checks, and approvals.
- Identify actions that should always remain under human control.
Practical exercise
Sketch a safe workflow for a routine task and mark every point that needs human review.
Module outcome: Describe a simple AI-assisted workflow and place appropriate human controls around it.
Risks, Privacy, and Safety
Develop habits for protecting information, spotting weak output, and using AI fairly and responsibly.
Lesson summaries
- Decide what information should never be entered into a public AI tool.
- Verify important claims using reliable original sources.
- Review outputs for bias, missing context, and inappropriate confidence.
Practical exercise
Audit a sample AI response for privacy, accuracy, bias, sourcing, and potential harm.
Module outcome: Apply a practical safety check before trusting, using, or sharing AI output.
AI and the Future of Work
Explore how tasks and roles may change while identifying durable human and AI skills to keep developing.
Lesson summaries
- Separate changes to individual tasks from predictions about entire jobs.
- Identify where communication, judgment, creativity, and accountability remain essential.
- Choose one relevant AI skill to practice after the course.
Practical exercise
Review a familiar role and identify tasks to assist, tasks to verify carefully, and tasks to keep human-led.
Module outcome: Create a realistic plan for adapting skills without relying on unsupported predictions.
Guided Practical Session
Bring the course together through a realistic task, structured review, reflection, and a personal next-step plan.
Lesson summaries
- Select an appropriate tool and explain why it fits the task.
- Document the prompt, revisions, checks, and final human decision.
- Reflect on what worked, what failed, and what to practice next.
Practical exercise
Complete a practical scenario from initial goal through verified final result and reflection.
Module outcome: Use a repeatable process to plan, prompt, verify, improve, and responsibly apply AI output.
How You Will Learn
The course uses a repeatable cycle so beginners can build understanding before working independently.
Understand
Build a plain-language mental model and ask questions.
Watch
Follow an instructor demonstration using a realistic task.
Practice
Complete a guided exercise and revise the result.
Apply
Use a safety check and connect the skill to your own goal.
Completion expectations
What Completing the Learning Experience Means
Final attendance rules and any certificate conditions will be confirmed before enrollment. The learning expectations are already clear.
Engage with all eight modules and their guided examples.
Attempt the practical exercises and revise work using feedback.
Complete a final guided scenario using the course’s plan–prompt–check–improve process.
Leave with a personal next-step and responsible-use plan.
Completion does not mean mastering every AI tool. It means being able to use a repeatable process, recognize when more checking is needed, and continue learning responsibly.
Prepare at your pace
Start Learning Before the Live Class
Review beginner AI terms, try a simple prompting method, and learn how to check AI output responsibly.
Live Class Details
Review the confirmed schedule, live online format, 10-participant class size, and $49 USD course fee below. Interest registration does not reserve a seat or collect payment.
Interest Registration Open
AI for Everyday Life
- Date
- September 12–13, 2026 (Saturday & Sunday)
- Time
- 9:00 AM–12:00 PM Eastern Time each day
- Location
- Live Online
- Format
- Instructor-led Live Training
- Class size
- 10 participants
- Course fee
- $49 USD
- Registration deadline
- Registration closes at 11:59 PM Eastern Time on September 11, 2026
Certificate Information
Certificate availability and any participation requirements are still being finalized. Confirmed details will be shared before interest registration becomes enrollment; no certificate should be assumed at this stage.
Continue your learning path
Build on Your AI Foundations
After learning the essentials, explore the AI Productivity course to develop repeatable AI-assisted workflows for everyday work.