LV-08 · Generative AI & automation

AI prompt engineering and automation with ChatGPT.

A hands-on professional course for turning ChatGPT from an ad-hoc assistant into a repeatable work system: better prompts, stronger evaluation, reusable workflows, and practical automation with human oversight.

Professional development Prompt systems Workflow automation Governance ready

ChatGPT, OpenAI, GPT and related marks are trademarks of OpenAI. This LogicVersity course is not affiliated with, sponsored by, endorsed by, or certified by OpenAI unless expressly stated in a separate written agreement.

Course overview

Use ChatGPT with structure, context, tests, and controls.

Participants learn how to design prompts that define goals, context, constraints, examples, output formats, review criteria, and escalation rules—then convert those prompts into reusable workflows for daily work.

Engineer reliable prompts

Move beyond casual prompting by building structured instructions, role context, examples, output schemas, rubrics, and iteration loops.

Automate repeatable work

Identify tasks suitable for AI assistance, standardize inputs and outputs, and design workflows for writing, analysis, research support, operations, and documentation.

Control risk and quality

Apply human review, verification, privacy boundaries, data handling rules, and output evaluation so AI is useful without becoming unmanaged risk.

Learning outcomes

By the end of the course, participants will be able to:

  • Write prompts that specify task, context, constraints, audience, tone, source boundaries, and output format.
  • Use examples, rubrics, checklists, and self-review instructions to improve consistency and reduce rework.
  • Design reusable prompt templates for writing, summarization, research support, data interpretation, ideation, and decision preparation.
  • Build AI-assisted workflows that combine human judgment, source verification, automation triggers, and quality gates.
  • Evaluate outputs for accuracy, completeness, bias, hallucination risk, privacy exposure, and business usefulness.
  • Define team-level rules for safe use of ChatGPT, including what data may be entered, when escalation is required, and how outputs are approved.

Capstone output

Participants finish with a practical prompt library, an automation opportunity map, and a governance checklist tailored to their role, team, or organization.

Curriculum

A practical sequence from prompt basics to governed automation.

01

How ChatGPT fits into modern work

Understand what generative AI is useful for, where it fails, why context matters, and why important outputs require human verification.

02

Prompt anatomy and instruction design

Build prompts using task definition, role context, audience, constraints, examples, source boundaries, assumptions, and output requirements.

03

Prompt patterns for business work

Practice patterns for drafting, rewriting, summarizing, extracting, comparing, brainstorming, planning, customer support, and structured analysis.

04

Evaluation, iteration, and quality control

Use rubrics, test cases, adversarial checks, source verification, expected-output examples, and review gates to improve reliability.

05

AI workflow automation

Map repetitive tasks, define inputs and outputs, identify automation candidates, and design AI-assisted workflows for no-code, low-code, or technical environments.

06

Governance, privacy, and adoption

Create practical rules for confidential data, personal information, approval workflows, recordkeeping, model limitations, and responsible team rollout.

Who should enrol

Built for professionals who need AI to produce usable work.

Managers and team leads

Define AI use cases, review standards, and team adoption rules without turning experimentation into uncontrolled risk.

Marketing and content teams

Create briefing prompts, campaign drafts, brand-review checklists, content variations, and editing workflows with quality controls.

Operations and support teams

Standardize repetitive analysis, documentation, customer reply drafts, process notes, SOPs, and knowledge-base updates.

Analysts and product teams

Use AI to structure research questions, compare options, summarize feedback, generate hypotheses, and prepare decision materials.

Practical applications

From prompt craft to repeatable AI-enabled workflows.

Writing and editing systems

Create prompts for briefs, drafts, rewrites, tone variants, summaries, executive notes, and quality review.

Research support

Use AI to frame questions, compare sources, summarize materials, identify unknowns, and prepare follow-up research tasks.

Workflow automation maps

Identify high-friction tasks, define human-in-the-loop checkpoints, and document what should and should not be automated.

Data and privacy boundaries

Establish practical rules for confidential information, personal data, client materials, access control, and approval before use.

FAQ

Questions before enrolling?

Is this an official OpenAI or ChatGPT certification course?

No. This is a LogicVersity professional development course. It is not affiliated with, sponsored by, endorsed by, or certified by OpenAI unless expressly stated in a separate written agreement.

Do participants need programming experience?

No. The core course is designed for non-technical professionals. Optional automation exercises can be adapted for no-code, low-code, or technical teams.

Will this course guarantee perfect AI outputs?

No. The course improves prompt quality, workflow design, and evaluation practices, but important outputs still require human review and source verification.

Can it be customized for a company?

Yes. LogicVersity can adapt examples, workflows, templates, governance rules, and exercises to your team’s functions, tools, and risk profile.

Enrolment

Train your team to use ChatGPT with discipline.

Tell us about your team, use cases, and preferred format. A LogicVersity advisor will follow up with availability, delivery options, and pricing.

  • Useful for writing, analysis, operations, support, research, marketing, documentation, and productivity workflows.
  • Can be scoped as an introductory workshop, role-specific training, or an organization-wide AI adoption program.
  • Designed to produce usable prompt templates, workflow maps, and governance checklists.

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