Generative AI & AI Tools Course
Learn to use generative AI tools for research, writing, visual ideation, and productivity with verification, privacy, and human review.
ABOUT THE COURSE
About Generative AI & AI Tools Course
Generative AI tools can help people draft, summarize, brainstorm, and explore ideas. Useful work still depends on a clear brief, careful source checks, human judgment, and respect for privacy and rights. This course introduces practical ways to work with generative AI while making its limits visible.
Learn a repeatable AI-assisted workflow
Start with a task and its constraints. Give a tool relevant context, ask for a specific output, inspect the result, verify factual claims, and edit before using it. Keep sensitive or confidential information out of tools unless the organization has approved that use and understands the applicable data terms.
Practice across common work tasks
Exercises cover prompt design, research and writing support, visual ideation, reusable productivity workflows, and output evaluation. The focus is on transferable methods rather than a promise that one platform or feature will remain available. Specific tools, account requirements, terms, and interfaces should be checked for the cohort.
Use AI responsibly
AI-generated text and images may be inaccurate, biased, incomplete, or unsuitable for a particular use. Learners practice checking sources, avoiding unsupported claims, reviewing rights and consent, protecting personal information, and keeping a human accountable for final decisions.
The course is an introduction to practical AI tool use. It does not promise employment outcomes, and it is not a substitute for specialist legal, security, or technical advice.
COURSE CURRICULUM
What you will study
6 modules · Explore the complete learning path below
Understand what generative tools do, where outputs can fail, and why a person remains accountable for decisions and published work.
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Generative AI concepts
- Generated text and images
- Patterns versus verified facts
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Limits and review
- Hallucinations and omissions
- Bias and uncertainty
Evaluate sample outputs, identify unsupported claims, and prepare a review checklist.
Write prompts with a clear task, relevant context, constraints, and a useful output format. Improve results through deliberate iteration rather than vague repeated requests.
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Prompt components
- Task and audience
- Context and constraints
- Output structure
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Iteration
- Reviewing an answer
- Refining one variable at a time
Build a prompt template for a fictional, low-risk task and compare revised outputs against a rubric.
Use AI to organize questions and draft material while maintaining source traceability, checking facts, and protecting private information.
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Research support
- Question framing
- Search plans
- Source notes
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Writing support
- Outlines and drafts
- Factual and tone review
Create a short source-backed explainer from public materials and flag every claim that requires human verification.
Prepare a visual brief for an image-generation tool and review outputs for usefulness, representation, rights, accessibility, and fit with the intended audience.
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Visual briefs
- Subject and composition
- Style references and constraints
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Output review
- Representation and artifacts
- Rights and usage terms
Draft a fictional campaign visual brief, generate or mock up alternatives with approved tools, and document review criteria.
Design small, repeatable workflows that use AI for drafting or organization while preserving human checkpoints, data boundaries, and clear ownership.
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Workflow mapping
- Inputs and outputs
- Quality checkpoints
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Reusable templates
- Prompt libraries
- Version notes and review
Map a fictional meeting-notes or content-planning workflow and identify which steps must remain human-reviewed.
Bring tool use together in a bounded project with an evaluation rubric, privacy review, source checks, documented limitations, and a human approval step.
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Responsible evaluation
- Accuracy and usefulness
- Bias and disclosure
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Privacy and rights
- Data minimization
- Consent and usage terms
Present a fictional AI-assisted workflow with its purpose, sample inputs, review checklist, risks, and stop conditions.
The course moves from generative AI foundations and prompt design to research, writing, visual ideation, reusable workflows, evaluation, and a responsible-use capstone. Tool availability and interfaces can change; confirm the current cohort tool list before enrollment.
TOOLS & TECHNOLOGIES
Tools you will work with
- Generative AI chat tools
- AI image-generation tools
- Prompt and workflow templates
- Source-verification checklist
- Document and spreadsheet tools
WHAT YOU WILL LEARN
Learning outcomes
- Explain common generative AI capabilities, limitations, and failure modes.
- Write and refine prompts with clear context, constraints, and output formats.
- Use AI tools to support research and drafting while verifying claims against reliable sources.
- Create a visual brief and review generated imagery for relevance, rights, and accessibility.
- Design a reusable AI-assisted workflow with human checkpoints and measurable quality criteria.
- Apply privacy, consent, bias, and disclosure checks before using generated outputs.
WHO SHOULD JOIN
Is this course right for you?
Students, professionals, educators, creators, and small-business teams who want a practical introduction to generative AI tools and responsible workflows. The course focuses on tool use and evaluation rather than training machine-learning models.
Prerequisites / eligibility
No programming prerequisite is assumed for the introductory exercises. Learners should be comfortable using a web browser and ready to review AI-generated work critically. Confirm tool access, account requirements, and any cohort-specific prerequisites before enrollment.
FAQ
Frequently asked questions
COURSE TOPICS
Explore Generative AI & AI Tools Course Topics
Generative AI Foundations and Responsible Use
Learn what generative AI tools can do, where they can fail, and how to keep human review and accountability in the workflow.
View full topicPrompt Design for Clearer Generative AI Results
Structure prompts with a clear task, context, constraints, and output format, then refine results with deliberate review.
View full topicAI-Assisted Research and Writing with Source Checks
Use AI for question framing and drafting while keeping sources traceable and factual claims verified.
View full topicGenerative AI Images: Briefs, Rights, and Review
Write visual briefs for image-generation tools and review results for relevance, accessibility, rights, and representation.
View full topicBuild Reusable AI Productivity Workflows
Map a bounded task into inputs, AI assistance, human checkpoints, and quality measures before reusing a prompt or workflow.
View full topicResponsible AI: Verification, Privacy, and Human Review
Apply practical checks for accuracy, privacy, bias, consent, rights, and accountability before using AI-generated work.
View full topicLocal course pages
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