SkillGeek Facebook ad: “AI Communication & Content Creation”

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Date : July 11,2026 (Saturday) Time : 9:00 am to 12:00nn Investment Fee : Php 700 per participant / 3 or more Php 600.00 Reserve your slot now! https://forms.gle/ng3kYk6bYR2wcRGS7 Learning Objectives By the end of this 3-hour webinar, participants will be able to: – Identify the right AI tools for communication and content creation tasks – Draft professional workplace communications using AI — emails, announcements, reports, meeting summaries – Create external and marketing content using AI — social media, copy, presentations, proposals, training materials – Write effective prompts that control tone, structure, clarity, and audience relevance – Edit, fact-check, and refine AI-generated content to maintain accuracy and brand voice – Use AI responsibly and ethically in professional communication and content work MODULE 1 Introduction to AI for Communication & Content Creation Establishes shared vocabulary and sets the scope for the session. This module is concept-only — no writing tasks are attempted here. 1.1 The AI Writing Landscape – Categories of AI writing tools: conversational AI, writing assistants, content generators – Key platforms: Claude, ChatGPT, Gemini, Copilot, Jasper, Copy.ai — what each is best for – Which tool to use for which task: a quick decision framework 1.2 Two Domains — One Session – Workplace communication: internal messages, reports, formal documents – Content creation: marketing, social media, external-facing materials – Why they require different skills, tones, and AI approaches — covered in Modules 2 and 3 separately 1.3 What AI Writing Can and Cannot Do – Where AI excels: drafting, reformatting, tone-shifting, and generating options fast – Where it falls short: factual accuracy, insider knowledge, nuanced judgment – The human-AI collaboration model: AI drafts, humans lead MODULE 2 AI for Workplace Communication Covers internal and professional business writing only. 2.1 Professional Email Writing with AI – Drafting clear, professional emails from bullet points or rough ideas – Writing tone-appropriate messages: formal, semi-formal, and direct styles – Difficult emails: decline messages, follow-ups, escalations, and sensitive topics – Proofreading and improving existing email drafts using AI 2.2 Announcements & Internal Communications – Writing company announcements, policy updates, and team memos with AI – Adapting messages for different internal audiences: all-staff vs. leadership vs. team-level – Maintaining clarity and appropriate tone in official internal communications 2.3 Reports & Meeting Summaries – Using AI to structure and draft business reports from notes or data points – Turning meeting notes or transcripts into clean, action-oriented summaries – Generating action items, decisions, and follow-up tasks from discussion records MODULE 3 AI for Content Creation Covers external-facing and marketing content only. Internal communications were completed in Module 2. This module focuses on content that reaches customers, audiences, or external stakeholders. 3.1 Social Media Content with AI – Writing platform-specific posts: LinkedIn, Facebook, Instagram, and X/Twitter – Generating content calendars and post ideas from a brief or campaign theme – Adapting a single message for multiple platforms without rewriting from scratch – Captions, hashtags, and calls to action: prompting for each element separately 3.2 Marketing Copy & Campaigns – Writing product descriptions, taglines, and promotional copy with AI – Generating variations: A/B testing different headlines, angles, and CTAs – Campaign briefs: using AI to draft a short creative brief from a product or goal 3.3 Presentations & Proposals – Building slide content, talking points, and executive summaries using AI – Drafting business proposals and pitch decks from a brief or background document – Structuring a data-driven narrative: context → insight → recommendation MODULE 4 Prompting for Better Content Outputs Dedicated entirely to prompt engineering technique. 4.1 What Makes a Good Prompt – The four elements of an effective prompt: Role, Context, Task, Format – Vague vs. specific: why the quality of your input determines the quality of the output – Giving AI the right information without overloading it 4.2 Controlling Tone, Clarity & Structure – Prompting for specific tones: professional, conversational, urgent, empathetic, persuasive – Controlling length and structure: bullet points, paragraphs, numbered lists, headers – Specifying the audience in your prompt: ‘write this for a C-suite executive’ vs. ‘write this for a new employee’ 4.3 Iteration & Refinement – When the first output isn’t right: how to follow up without starting over – Refinement prompts: ‘make this shorter’, ‘change the tone to be more direct’, ‘add a closing call to action’ – Building a reusable prompt template for your most common writing tasks 4.4 Audience-Relevant Content – Writing for different audiences in one session: using AI to adapt the same message – Prompting for cultural sensitivity and professional appropriateness – Testing audience fit: asking AI to critique your draft from a specific reader’s perspective MODULE 5 Content Quality, Brand Consistency & Ethical Covers the skills needed after AI generates content: editing, verification, brand alignment, and responsible use. 5.1 Editing AI-Generated Content – Why all AI output requires human review before publishing or sending – The editing checklist: clarity, accuracy, tone, audience fit, and completeness – Spotting AI tells: generic phrasing, overlong sentences, and unnatural transitions – Making AI content sound like you: the humanization pass 5.2 Fact-Checking & Accuracy – AI hallucinations: what they are, why they happen, and how to catch them – What to verify: statistics, names, dates, quotes, product claims, and legal statements – Cross-referencing AI output with primary sources before publishing 5.3 Maintaining Brand Voice – What brand voice is — and why AI defaults to a generic version of it – How to train AI to write in your brand’s tone: voice descriptors and examples – Brand consistency checklist: language, terminology, formatting, and values 5.4 Ethical AI Use in Communication & Content – Transparency: when to disclose AI assistance in professional and public-facing content – Originality and attribution: avoiding unintentional plagiarism from AI-generated text – Confidentiality: what business information should never be entered into a public AI tool – Accuracy as a professional responsibility: your name is on the output, not the AI’s

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AI Communication & Content Creation

AI Communication & Content Creation

Date : July 11,2026 (Saturday) Time : 9:00 am to 12:00nn Investment Fee : Php 700 per participant / 3 or more Php 600.00 Reserve your slot now! https://forms.gle/ng3kYk6bYR2wcRGS7 Learning Objectives By the end of this 3-hour webinar, participants will be able to: – Identify the right AI tools for communication and content creation tasks – Draft professional workplace communications using AI — emails, announcements, reports, meeting summaries – Create external and marketing content using AI — social media, copy, presentations, proposals, training materials – Write effective prompts that control tone, structure, clarity, and audience relevance – Edit, fact-check, and refine AI-generated content to maintain accuracy and brand voice – Use AI responsibly and ethically in professional communication and content work MODULE 1 Introduction to AI for Communication & Content Creation Establishes shared vocabulary and sets the scope for the session. This module is concept-only — no writing tasks are attempted here. 1.1 The AI Writing Landscape – Categories of AI writing tools: conversational AI, writing assistants, content generators – Key platforms: Claude, ChatGPT, Gemini, Copilot, Jasper, Copy.ai — what each is best for – Which tool to use for which task: a quick decision framework 1.2 Two Domains — One Session – Workplace communication: internal messages, reports, formal documents – Content creation: marketing, social media, external-facing materials – Why they require different skills, tones, and AI approaches — covered in Modules 2 and 3 separately 1.3 What AI Writing Can and Cannot Do – Where AI excels: drafting, reformatting, tone-shifting, and generating options fast – Where it falls short: factual accuracy, insider knowledge, nuanced judgment – The human-AI collaboration model: AI drafts, humans lead MODULE 2 AI for Workplace Communication Covers internal and professional business writing only. 2.1 Professional Email Writing with AI – Drafting clear, professional emails from bullet points or rough ideas – Writing tone-appropriate messages: formal, semi-formal, and direct styles – Difficult emails: decline messages, follow-ups, escalations, and sensitive topics – Proofreading and improving existing email drafts using AI 2.2 Announcements & Internal Communications – Writing company announcements, policy updates, and team memos with AI – Adapting messages for different internal audiences: all-staff vs. leadership vs. team-level – Maintaining clarity and appropriate tone in official internal communications 2.3 Reports & Meeting Summaries – Using AI to structure and draft business reports from notes or data points – Turning meeting notes or transcripts into clean, action-oriented summaries – Generating action items, decisions, and follow-up tasks from discussion records MODULE 3 AI for Content Creation Covers external-facing and marketing content only. Internal communications were completed in Module 2. This module focuses on content that reaches customers, audiences, or external stakeholders. 3.1 Social Media Content with AI – Writing platform-specific posts: LinkedIn, Facebook, Instagram, and X/Twitter – Generating content calendars and post ideas from a brief or campaign theme – Adapting a single message for multiple platforms without rewriting from scratch – Captions, hashtags, and calls to action: prompting for each element separately 3.2 Marketing Copy & Campaigns – Writing product descriptions, taglines, and promotional copy with AI – Generating variations: A/B testing different headlines, angles, and CTAs – Campaign briefs: using AI to draft a short creative brief from a product or goal 3.3 Presentations & Proposals – Building slide content, talking points, and executive summaries using AI – Drafting business proposals and pitch decks from a brief or background document – Structuring a data-driven narrative: context → insight → recommendation MODULE 4 Prompting for Better Content Outputs Dedicated entirely to prompt engineering technique. 4.1 What Makes a Good Prompt – The four elements of an effective prompt: Role, Context, Task, Format – Vague vs. specific: why the quality of your input determines the quality of the output – Giving AI the right information without overloading it 4.2 Controlling Tone, Clarity & Structure – Prompting for specific tones: professional, conversational, urgent, empathetic, persuasive – Controlling length and structure: bullet points, paragraphs, numbered lists, headers – Specifying the audience in your prompt: ‘write this for a C-suite executive’ vs. ‘write this for a new employee’ 4.3 Iteration & Refinement – When the first output isn’t right: how to follow up without starting over – Refinement prompts: ‘make this shorter’, ‘change the tone to be more direct’, ‘add a closing call to action’ – Building a reusable prompt template for your most common writing tasks 4.4 Audience-Relevant Content – Writing for different audiences in one session: using AI to adapt the same message – Prompting for cultural sensitivity and professional appropriateness – Testing audience fit: asking AI to critique your draft from a specific reader’s perspective MODULE 5 Content Quality, Brand Consistency & Ethical Covers the skills needed after AI generates content: editing, verification, brand alignment, and responsible use. 5.1 Editing AI-Generated Content – Why all AI output requires human review before publishing or sending – The editing checklist: clarity, accuracy, tone, audience fit, and completeness – Spotting AI tells: generic phrasing, overlong sentences, and unnatural transitions – Making AI content sound like you: the humanization pass 5.2 Fact-Checking & Accuracy – AI hallucinations: what they are, why they happen, and how to catch them – What to verify: statistics, names, dates, quotes, product claims, and legal statements – Cross-referencing AI output with primary sources before publishing 5.3 Maintaining Brand Voice – What brand voice is — and why AI defaults to a generic version of it – How to train AI to write in your brand’s tone: voice descriptors and examples – Brand consistency checklist: language, terminology, formatting, and values 5.4 Ethical AI Use in Communication & Content – Transparency: when to disclose AI assistance in professional and public-facing content – Originality and attribution: avoiding unintentional plagiarism from AI-generated text – Confidentiality: what business information should never be entered into a public AI tool – Accuracy as a professional responsibility: your name is on the output, not the AI’s