Generative AI & AI Tools Course
How to Write Clearer Prompts for Generative AI
Improve prompt clarity by specifying the task, audience, context, constraints, and output format, then review the answer against a rubric.
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Generative AI & AI Tools Course
A Practical Beginner Workflow for Generative AI Tools
A repeatable process for choosing a suitable task, providing safe context, reviewing an AI output, and keeping a human accountable.
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Verify AI-Generated Information Before You Use It
Use a source ledger and claim-by-claim review to catch fabricated citations, missing context, and unsupported statements in AI-assisted drafts.
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Use AI Tools for Research Without Losing Source Traceability
Use AI to organize research questions and outlines while preserving original sources, checking citations, and protecting sensitive information.
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Responsible AI Workflows: Privacy, Bias, and Human Review
Build responsible AI workflows around data minimization, fairness checks, rights, clear accountability, and a human approval step.
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AI-Generated Images: Briefs, Rights, and Human Review
Plan image-generation requests with a visual brief, then check outputs for artifacts, accessibility, representation, usage terms, and misleading details.
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Python Full-Stack Developer Roadmap: From Python to Django
A practical learning sequence for Python, web fundamentals, PostgreSQL, Django, REST APIs, testing, and an integrated full-stack project.
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HTML Forms and Django: A Reliable Browser-to-Server Workflow
Trace an accessible browser form through an HTTP request, Django validation, application logic, and a clear response.
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PostgreSQL Data Modeling for Django Applications
Design relational tables and relationships, protect data with constraints, and connect PostgreSQL concepts to Django models and queries.
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Django Models, Migrations and ORM Queries Explained
Understand how Django models map to database tables, how migrations evolve a schema, and how ORM queries retrieve related records.
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Build Django REST Framework APIs with Validation and Permissions
Design predictable API endpoints with serializers, server-side validation, permissions, useful errors, and tests for client workflows.
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Python Full-Stack Capstone: Plan, Test and Present a Web App
Plan a focused Django capstone that connects browser forms, PostgreSQL, APIs, automated tests, Git history, and clear setup documentation.
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