Course Overview AI-powered Social Media Video Strategy, Content Creation & Performance Optimisation
Course Synopsis
This 2-day AI-Powered Social Media programme equips participants with practical skills to use AI tools for social media video strategy, content planning, scriptwriting, visual prompting, AI-assisted video production, digital presenter concepts, workflow design and performance optimisation. The AI-Powered Social Media course is designed as a practical content production lab, where participants learn the thinking process behind effective content and apply AI to create usable outputs for their organisation or personal brand.
Training Prerequisites
- Basic computer and internet browsing skills
- Basic understanding of social media platforms such as TikTok, Instagram, Facebook or LinkedIn
- No advanced design, editing or programming background required
- Participants are encouraged to bring a laptop and one real business/product/service topic to work on
Course Structure
| Day | Focus Area | Participant Output |
| Day 1 | Social media strategy, content discovery, AI planning and scriptwriting | Content pillars, content ideas, hooks and one short-form video script |
| Day 2 | AI visual/video prompting, digital presenter concepts, workflow and optimisation | Visual/video prompts, avatar use case, workflow map and performance checklist |
Training Methodology
- Mini lecture: Explain key concepts in a clear and structured manner.
- Live demonstration: Show practical AI-assisted content creation workflows.
- Guided prompt practice: Help participants improve AI outputs through better briefing and iteration.
- Case study review: Compare good and weak content examples to strengthen judgment.
- Hands-on activity: Enable participants to create content ideas, scripts, prompts and workflows.
- Group sharing and feedback: Improve participant outputs through discussion and trainer feedback.
- Action planning: Support workplace application after the training.
Assessment Method
- Formative assessment: Q&A, trainer observation, discussion and group sharing during activities.
- Practical task: Participants create content pillars, hooks, scripts, prompts and workflow maps.
- Final output review: Participants present a simple AI-assisted content plan or workflow.
- Implementation checklist: Participants complete a workplace action plan for applying the training.
Suggested AI Tools for Demonstration
The AI-Powered Social Media course should focus on practical workflow rather than tool overload. The trainer may demonstrate a small set of tools depending on participant readiness and available access.
- Research, ideation and writing: ChatGPT, Gemini or Claude
- Visual generation: Adobe Firefly, Midjourney or similar AI image tools
- Video generation: Veo, Kling, Seedance or similar AI video tools
- Digital presenter / avatar: HeyGen or similar avatar platform
- Editing and repurposing: CapCut, Canva or platform-native editing tools
Trainer Capability Alignment
- Creative Director background: Supports brand direction, visual quality, content judgment and storytelling.
- AI Creative Trainer experience: Supports practical AI tool demonstrations and prompt workflow guidance.
- Brand Consultant experience: Supports content pillars, positioning, messaging and audience alignment.
- Social media and content creation work: Supports hooks, carousel thinking, short-form video formats and content planning.
- Digital presenter / avatar knowledge: Supports AI avatar, digital twin and clone-yourself use cases.
- HRD Corp trainer profile: Supports structured delivery, learning outcomes, activities and workplace application.
Scope Control for Delivery
- The AI-Powered Social Media course is not positioned as an advanced video editing software class.
- The course does not require participants to master every AI tool in the market.
- The focus is on content thinking, AI briefing, practical workflow and workplace application.
- Demonstrations should use 3 to 5 core tools only to avoid overwhelming participants.
- Final outputs should remain practical: content pillars, hooks, script, prompts, workflow and checklist.
Recommended HRD Positioning Statement
This is a practical AI-assisted content strategy and production workflow course for modern workplace communication, marketing and social media teams.
Learning Outcomes
By the end of the AI-Powered Social Media programme, participants will be able to:
- Explain how social media platforms distribute and recommend video content.
- Identify suitable content formats for TikTok, Instagram, Facebook and LinkedIn.
- Use AI tools to support content research, ideation, planning and scriptwriting.
- Develop content pillars and platform-specific content angles for a brand or organisation.
- Create short-form video scripts using practical storytelling frameworks.
- Generate effective AI prompts for image, video and social media content creation.
- Apply basic editing and retention strategies for social media videos.
- Explore AI avatar and digital presenter use cases for marketing, communication and training.
- Build a simple AI-assisted content production workflow.
- Apply responsible AI practices, including fact-checking, copyright awareness and editorial review.
- Create a basic content performance optimisation plan.
Who Should Attend
- Business owners and entrepreneurs
- Marketing, communication and social media teams
- Sales and business development teams
- HR, L&D and internal communication teams
- Trainers, coaches, consultants and educators
- Professionals responsible for creating or managing digital content
Training Prerequisites
- Basic computer and internet browsing skills
- Basic understanding of social media platforms such as TikTok, Instagram, Facebook or LinkedIn
- No advanced design, editing or programming background required
- Participants are encouraged to bring a laptop and one real business/product/service topic to work on
Course Content
Day 1: Social Media Strategy, Content Discovery & AI Planning
| Module | Topic | Learning Outcome | Practical Activity |
| 1 | Today’s social media and video-first landscape | Explain how short-form video, attention behaviour and recommendation systems affect content reach. | Review good vs weak content examples and identify hook, message, visual and CTA. |
| 2 | Platform behaviour and content formats | Compare suitable content formats for TikTok, Instagram, Facebook and LinkedIn. | Match different business objectives with the right platform content format. |
| 3 | AI-assisted content research and trend discovery | Use AI to generate content ideas, analyse audience interests and identify relevant content angles. | Create an AI content brief based on audience, brand, offer and goal. |
| 4 | Content pillars and brand messaging | Develop content pillars that support brand positioning, trust-building and business objectives. | Build 3 content pillars and 10 AI-assisted content ideas. |
| 5 | Scriptwriting and storytelling for social media video | Create short-form video scripts using hook, problem, message, proof and CTA structure. | Write one 30-second video script and generate 3 alternative hooks. |
Day 2: AI Content Production, Workflow & Performance Optimisation
| Module | Topic | Learning Outcome | Practical Activity |
| 6 | AI visual and video content creation | Write structured prompts for AI image and video generation using subject, action, style, camera, lighting and format. | Create 3 image/video prompts based on the Day 1 script. |
| 7 | AI avatar, digital presenter and clone-yourself concepts | Identify practical AI presenter use cases for marketing, training, sales and internal communication. | Design one digital presenter or avatar content use case. |
| 8 | Editing for attention, retention and CTA | Apply basic editing principles to improve clarity, pacing, retention and call-to-action effectiveness. | Turn a script into a simple shot list with visual, caption and CTA notes. |
| 9 | AI-assisted content workflow | Design a repeatable workflow from research to publishing, approval and repurposing. | Map a weekly AI-assisted content workflow for a team or individual. |
| 10 | Performance optimisation and responsible AI use | Review basic performance indicators and apply responsible AI checking practices. | Complete a content performance checklist and responsible AI review checklist. |
