Generative AI For Content Creation

In today’s content-driven landscape, Generative AI has become a practical tool for accelerating creativity, sharpening ideas and enhancing production quality across formats. For modern creators, understanding how to work with AI is no longer optional. It has become an essential capability that shapes how visuals are crafted, videos are produced and entire content pipelines are scaled.

This 1-day course introduces participants to the fundamentals of multi-modal Generative AI and its role in supporting end-to-end content creation. Through a structured exploration of prompting techniques, image workflows, AI-assisted video and audio production and node-based workflow automation, participants will learn how to work with aggregator platforms such as Figma Weave that bring together models from providers including Google, OpenAI and ByteDance alongside dedicated audio tools such as Eleven Labs and Minimax for voiceover and narration. The course also highlights common AI limitations such as hallucinations, visual inaccuracies and audio artefacts, so creators can manage risks and maintain quality across published work.

As creators increasingly upload brand assets, client materials and proprietary content into third-party AI platforms, understanding data privacy and confidentiality becomes a core professional responsibility rather than an afterthought. The course addresses how participants can evaluate platform data policies, safeguard sensitive information and apply responsible usage practices, particularly around copyright, attribution and commercially safe deployment, when generating images, videos and audio at scale.

By the end of the session, participants will gain practical skills to produce compelling visuals, prototype video concepts, generate supporting audio and build automated workflows using Figma Weave that multiply their creative output. The goal is to equip creators with a clear, confident understanding of how Generative AI and workflow automation can enhance creativity, streamline production and elevate the overall content development process.

Upon completing the course, participants should be able to:

• Explain the core concepts underpinning multi-modal Generative AI, including how language, image, video and audio models operate within modern content creation workflows
• Recognise data privacy, confidentiality and responsible-use considerations when incorporating brand and client information into AI platforms
• Develop AI-assisted video content by transforming prompts into scenes and converting still images into dynamic clips using appropriate video models
• Produce AI-generated voiceover, narration, music and localised audio tracks that strengthen the emotional and narrative impact of video content
• Design automated, node-based workflows using Figma Weave to batch-produce brand-consistent content across multiple formats
• Integrate brand assets and domain-specific resources into automated workflows to ensure contextual accuracy, consistency and commercially safe deployment at scale

• Content Creators seeking to enhance their creative workflows with AI-driven image, video, and audio tools.
• Marketing & Communications Teams responsible for producing brand-aligned visual and video content at scale.
• Designers and Creative Executives exploring AI-assisted ideation, automation, and visual production.
• Social Media Managers who require fast, consistent, and engaging content production at volume.
• Business Professionals who develop internal or external content and want to integrate Generative AI and workflow automation into daily processes.
• Anyone interested in multi-modal AI tools and node-based automation for content production.

Module 1: The Creator’s Guide to Multi-Modal Generative AI

• Understanding the fundamentals of Generative AI, covering LLMs, NLP, model fine-tuning and tokenisation in creator-focused terms.
• Overview of aggregator platforms such as Figma Weave, Krea and OpenArt that provide access to multiple image and video models from a single subscription with a free monthly credit refresh, rather than one-time-use tools.
• Evaluating data privacy and confidentiality when using AI platforms, including what is safe to upload, how to handle client and brand information and how to assess platform data policies.
• Hallucinations as a core limitation across text, images, videos and audio, and why creators must recognise these behaviours when producing public-facing content.
• AI as a production partner that speeds up ideation, visual development and content execution across modern workflows.

Module 2: Transforming Ideas into Images with Prompting Techniques

• Structure of an effective image prompt.
• A working overview of the image models most commonly found on aggregator platforms, including where each one performs best and where it tends to fall short (e.g. ChatGPT Images, Nano Banana, Imagen)
• Using prompts to generate custom images for marketing, storytelling, branding and thumbnail design.
• Using prompts to edit, refine and enhance existing images, including adjustments to style, lighting, composition and visual details.
• Understanding the limitations of image generation.
• Copyright and attribution considerations for commercially safe use of AI-generated images.

Module 3: Video and Audio Prompt Engineering for Modern Storytelling

• How to create a complete video clip directly from prompts.
• How to convert images into video clips.
• A working overview of the video models most commonly found on aggregator platforms, including where each one
• performs best and where it tends to fall short (e.g.Veo, Seedance, Kling)
• Generating AI voiceover and narration for scripted content with a natural, brand-appropriate tone.
• Using AI music generation and sound design to score scenes and match narrative mood.
• Voice cloning and multilingual dubbing for personalised, localised video delivery.
• Understanding current limitations in video realism and persistence, and in audio naturalness and licensing.

Module 4: Workflow Automation with Figma Weave

• Introduction to node-based creative canvases and how they differ from single-prompt generation.
• Building automated workflows that chain prompts, reference images and models to produce multiple outputs in a single pass.
• Ingesting brand kits, including colours, typography and logos, so every generated output stays on-brand without manual adjustment.
• Multi-format batch production, generating image, video and campaign-size variations from a single workflow.
• Connecting workflow outputs to export and publishing pipelines for faster campaign turnaround.
• Understanding current limitations of workflow automation, including node complexity and quality control at scale.