AI Content Creator Pro

●   Understanding prompts — what makes a good prompt vs. a bad one

●   The C.T.R.F.C. prompting framework: Context, Task, Role, Format, Constraints

●   Writing scripts for the ear: Hook → Message → CTA structure

●   AI voice fundamentals: how text-to-speech works, and voice-cloning ethics

●   Practical: rewrite 3 weak prompts using C.T.R.F.C.

●   Practical: write a 30-second voiceover script for your own brand

●  Practical: generate the voiceover in ElevenLabs, testing 2 voice styles

●   Write scripts built specifically for spoken/AI narration

●   Generate a professional AI voiceover from your own script

●   Apply ethical practice around AI voice use and disclosure

●        Matching music mood to brand identity

●        Podcast structure basics: intro, segment, outro

●        Practical: generate a background track/jingle in Suno

●        Practical: generate 1–2 style variations and choose the best fit

●        Practical: layer your Day-1 voiceover over today’s music track

●        Combine voice and music into one simple audio piece

●        Understand music licensing and AI-disclosure basics

●        Prompt structure for images: Subject + Style + Lighting + Composition + Mood

●        Google Flow as the primary image tool; alternatives (Leonardo AI, Firefly, Ideogram)

●        Copyright and commercial-use basics for AI images

●        Practical: generate 3 brand/product images using structured prompts

●        Practical: explore style modifiers (minimalist, photorealistic, 3D render)

●        Practical: generate a logo concept and a marketing poster background

●        Generate usable, on-brand marketing visuals

●        Understand licensing considerations before commercial use

●        Building a Brand Kit: logo, brand colors, fonts

●        Design principles: consistency, hierarchy, whitespace, platform sizing

●        Practical: set up your own Brand Kit

●        Practical: build a marketing poster combining an AI image with an AI-written headline

●        Practical: clean up an AI image using Background Remover / Magic Eraser

●        Practical: export designs in platform-correct sizes

●        Edit and clean up AI images professionally

●        Export content correctly sized for each platform

●        Google Flow as the primary video tool — the same workspace used for images on Day 3, now generating motion

●        Prompting for video: Subject + Action + Camera motion + Setting + Style

●        Clip-length constraints and planning for multiple clips

●        Practical: animate a Day-3 image into a short video clip in Google Flow

●        Practical: generate one image-to-video clip and one text-to-video clip in Google Flow

●        Practical: select your best 2 clips for the campaign folder

●        Apply camera-motion vocabulary in video prompts

●        Plan a video as a sequence of short generated clips

●        Keeping visual style and pacing consistent across generated clips in Google Flow

●        Practical: write a shot-by-shot storyboard for your capstone video

●        Practical: generate a full raw clip sequence in Google Flow using consistent style prompts

●        Practical: peer-check whether the sequence reads as one connected video

●        Recognize and fix style or pacing mismatches between clips

●        Layering voiceover and music underneath video

●        Adding captions/subtitles for sound-off viewing

●        Exporting in platform-correct formats (9:16, 1:1, 16:9)

●        Practical: import and arrange raw clips on a timeline

●        Practical: trim, add transitions, and layer voiceover + music

●        Practical: add captions and export for the target platform

●        Layer audio correctly and add captions

●        Export video in the correct format for each platform

●        Content pillars: Educate, Entertain, Inspire, Promote

●        Caption formula: Hook → Value/Story → CTA

●        Hashtag strategy: mix of broad + niche + branded tags

●        Practical: generate platform-specific captions for your capstone content

●        Practical: generate a hashtag set (broad/niche/branded)

●        Build an effective hashtag strategy

●        Match content tone to each platform’s audience

●        Posting cadence and consistency

●        Native platform scheduling tools

●        Practical: build a 7-day content calendar

●        Practical: assemble the full capstone package into one project folder

●        Practical: run a pre-publish quality-control checklist pass

●        Assemble a complete, ready-to-publish content package

●        Run a pre-publish quality-control check

●        Final quality-control pass on the complete campaign

●        Publishing at least one piece of content to a real social account

●        Student presentations: each student explains their campaign

●        Peer feedback and instructor review

●        Course wrap-up: next steps, resources

●        Publish real AI-assisted content to a real platform

●        Present and explain a campaign’s creative and strategic reasoning