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ChatGPT Course
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ChatGPT Course

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Master ChatGPT from the ground up and turn it into your most productive professional tool. Learn to write powerful prompts, automate repetitive tasks, create compelling content, and lead AI adoption in your organisation. This course covers everything from AI basics to advanced strategies used by top professionals.

Dedika for students

What your team will master:

You will learn how ChatGPT and large language models actually work so that you can use them with confidence and accuracy. You will master prompt engineering techniques, from zero-shot basics to chain-of-thought reasoning, to get consistently high-quality outputs. You will apply ChatGPT to real tasks including content creation, research, data analysis, coding support, and project management. You will also learn how to use AI responsibly, protect sensitive data, and avoid common pitfalls like hallucinations. By the end, you will have the skills to integrate ChatGPT into your workflows and lead AI initiatives in your team or organisation.

How your team learns in practice ChatGPT Course

How your team practises ChatGPT Course

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Course content

8 Chapters • 38 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Introduction to ChatGPT and AI Basics

  • Lesson 1 • Capabilities and Limitations Overview

    Maps what ChatGPT can and cannot reliably do, including hallucination risks. Sets realistic expectations that prevent misuse throughout the course.

  • Lesson 2 • Understanding Large Language Models

    Explains transformer architecture, training data, and token-based processing in plain language. Connects model behaviour to practical user expectations.

  • Lesson 3 • What Is Generative AI

    Covers the definition, history, and mechanics of generative AI models. Establishes the conceptual baseline needed for all subsequent ChatGPT instruction.

  • Lesson 4 • ChatGPT Platform Orientation

    Guides learners through account creation, interface navigation, and settings configuration. Ensures every student can operate the platform before advancing.

Chapter 2See details

Prompt Engineering Fundamentals

  • Lesson 1 • Iterative Prompt Refinement

    Teaches a structured feedback loop for improving outputs through follow-up prompts. Builds the habit of treating prompting as an iterative dialogue, not a single query.

  • Lesson 2 • Common Prompting Mistakes to Avoid

    Catalogues frequent errors such as overloading prompts and ignoring context limits. Learners apply diagnostic checklists to audit and fix their own prompts.

  • Lesson 3 • Instruction Clarity and Specificity

    Demonstrates how vague instructions produce poor results and precise ones yield quality output. Learners practise rewriting ambiguous prompts into specific directives.

  • Lesson 4 • Zero-Shot and Few-Shot Prompting

    Introduces zero-shot, one-shot, and few-shot techniques with practical examples. Learners select the right technique based on task complexity and desired consistency.

  • Lesson 5 • Anatomy of an Effective Prompt

    Breaks down the components of a well-formed prompt: role, context, task, and format. Teaches learners to diagnose weak prompts and improve them systematically.

Chapter 3See details

Advanced Prompting Techniques

  • Lesson 1 • Chain-of-Thought Prompting

    Teaches prompts that instruct ChatGPT to reason step by step before answering. Improves accuracy on analytical, mathematical, and logical tasks significantly.

  • Lesson 2 • Constraint-Based and Negative Prompting

    Teaches how to exclude unwanted content and enforce strict output boundaries. Learners use negative constraints to reduce hallucinations and off-topic responses.

  • Lesson 3 • Role-Playing and Persona Prompts

    Explores assigning expert personas to shape tone, depth, and domain accuracy. Learners practise persona prompts for consulting, coaching, and creative scenarios.

  • Lesson 4 • Structured Output Formatting

    Covers prompting for JSON, tables, bullet lists, and markdown-formatted responses. Enables learners to integrate ChatGPT outputs directly into tools and documents.

  • Lesson 5 • Multi-Turn Conversation Design

    Designs extended dialogues that build context progressively across multiple turns. Learners architect conversation flows for research, tutoring, and decision support.

Chapter 4See details

Content Creation with ChatGPT

  • Lesson 1 • Summarisation and Repurposing Content

    Teaches extraction of key insights from long documents and reformatting for new uses. Learners convert reports, transcripts, and articles into multiple derivative formats.

  • Lesson 2 • Writing and Editing Professional Documents

    Covers drafting reports, memos, proposals, and emails with ChatGPT assistance. Learners apply editing prompts to improve clarity, tone, and structure in existing text.

  • Lesson 3 • Marketing and Persuasive Copywriting

    Teaches prompts for ad copy, landing pages, taglines, and persuasive narratives. Learners align copy with brand voice and audience psychology using targeted prompts.

  • Lesson 4 • Social Media Content at Scale

    Produces platform-specific posts, captions, and content calendars using ChatGPT. Learners batch-create content efficiently whilst preserving engagement and authenticity.

  • Lesson 5 • Long-Form Content and Blogging

    Guides learners through outlining, drafting, and refining articles and blog posts. Covers SEO-aware writing and maintaining a consistent authorial voice at scale.

Chapter 5See details

Research and Analysis Applications

  • Lesson 1 • Using ChatGPT for Research Assistance

    Covers literature exploration, topic mapping, and question generation for research tasks. Learners understand how to verify ChatGPT-generated information against authoritative sources.

  • Lesson 2 • Critical Evaluation of AI-Generated Analysis

    Develops skills to identify bias, gaps, and errors in ChatGPT analytical outputs. Learners apply a verification checklist before using AI analysis in professional deliverables.

  • Lesson 3 • Data Interpretation and Summarisation

    Teaches prompts that extract meaning from datasets, tables, and statistical summaries. Learners translate raw data descriptions into clear narrative insights for stakeholders.

  • Lesson 4 • Competitive and Market Analysis

    Applies ChatGPT to structure competitive landscapes, SWOT analyses, and market maps. Learners build reusable prompt templates for recurring strategic analysis tasks.

Chapter 6See details

Responsible and Ethical AI Use

  • Lesson 1 • Organisational AI Use Policies

    Guides learners in drafting, reviewing, and complying with workplace AI usage policies. Connects ethical principles to enforceable organisational standards and governance.

  • Lesson 2 • Intellectual Property and Attribution

    Addresses ownership questions around AI-generated content and proper disclosure norms. Learners apply attribution guidelines appropriate to their professional and creative contexts.

  • Lesson 3 • Privacy and Data Security Practices

    Covers what data should never be entered into ChatGPT and how to anonymise inputs. Learners apply data hygiene rules that protect clients, colleagues, and organisations.

  • Lesson 4 • Avoiding Misinformation and Hallucinations

    Teaches verification habits that prevent AI-generated errors from reaching stakeholders. Learners build a fact-checking workflow integrated into every AI-assisted deliverable.

  • Lesson 5 • Understanding AI Ethics Principles

    Introduces fairness, transparency, accountability, and harm-avoidance as core AI ethics pillars. Learners map these principles to real decisions made when using ChatGPT at work.

Chapter 7See details

Productivity and Workflow Automation

  • Lesson 1 • Measuring Productivity Gains

    Establishes metrics and tracking methods to quantify time saved through AI assistance. Learners build a personal ROI case for continued and expanded ChatGPT adoption.

  • Lesson 2 • Automating Repetitive Writing Tasks

    Identifies high-frequency writing tasks and builds reusable prompt templates for them. Learners reduce time spent on routine communications, reports, and documentation.

  • Lesson 3 • Integrating ChatGPT with Other Tools

    Covers copy-paste workflows, browser extensions, and API-adjacent integrations. Learners connect ChatGPT outputs to productivity suites, note-taking apps, and documents.

  • Lesson 4 • Building Personal Prompt Libraries

    Teaches systematic organisation of proven prompts into searchable personal libraries. Learners create categorised prompt collections that accelerate future task completion.

  • Lesson 5 • ChatGPT for Project Management Support

    Uses ChatGPT to draft project plans, risk registers, status updates, and agendas. Learners integrate AI assistance into existing project management frameworks seamlessly.

Chapter 8See details

Strategic AI Integration and Leadership

  • Lesson 1 • Training and Upskilling Teams

    Covers adult learning principles applied to AI training programme design and delivery. Learners create training plans that build team competency progressively and sustainably.

  • Lesson 2 • Sustaining and Scaling AI Initiatives

    Addresses governance, continuous improvement, and scaling successful AI pilots. Learners design feedback loops that keep AI programmes aligned with evolving business needs.

  • Lesson 3 • Communicating AI Value to Stakeholders

    Teaches how to frame AI benefits in business terms for executives and decision-makers. Learners craft compelling narratives and data-backed cases for AI investment.

  • Lesson 4 • Assessing Organisational AI Readiness

    Provides frameworks for evaluating team skills, infrastructure, and cultural readiness for AI. Learners produce a readiness scorecard to guide phased adoption planning.

  • Lesson 5 • Designing an AI Adoption Roadmap

    Teaches phased rollout planning with milestones, pilots, and success metrics. Learners draft a 90-day adoption roadmap tailored to their organisational context.

Certification

Your valid completion certificate

This course is for you:

  • Marketing professional: needs faster content production without sacrificing brand voice.

  • Project manager: wants AI support for planning, reporting, and team communication.

  • Freelance writer: looking to scale output and take on more diverse client work.

  • Small business owner: ready to handle more tasks independently using smart AI tools.

  • HR or L&D specialist: aiming to design and deliver AI training for their organisation.

  • Career changer: building practical AI skills to stay competitive in a new field.

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