π Quick Access to Modules
π Detailed Content
Explore each topic in the modules below. Click to expand.
π Module 1: Introduction to Creative AI
Learn about the ecosystem, tools, and ethical foundations of generative AI in 2026.
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What is: The 4 pillars of creative AI in 2026βgeneration, editing, automation, and agentsβand how the ecosystem is organized after Sora was discontinued (Mar/2026).
Why learn: Without understanding the landscape, you waste time learning the wrong tools. This lesson defines the landscape.
Key concepts: Foundation models, the Chinese ecosystem (Kling, Hailuo, Seedance), open source (FLUX, ComfyUI), licensing.
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What is: Comprehensive overview of current tools: Midjourney V8.1, Kling 3.0, Runway Gen-4.5, FLUX.2, Veo 3.1, Suno v5.5, ElevenMusic, and more.
Why learn: Knowing which tool to use for each case prevents rework and unnecessary spending.
Key concepts: Tool categories, value for money, freemium vs. paid, affordable Chinese models.
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What is: Brazilian and European legal framework, active lawsuits (Suno/Udio vs RIAA), commercial licenses, and attribution best practices.
Why learn: Using AI without understanding licenses can invalidate your work for commercial use. ElevenMusic has the clearest license on the market in 2026.
Key concepts: Fair use, training opt-out, deepfake, deepvoice, transparency.
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What is: Hardware setup (GPU, RAM), essential software, accounts, and asset organization.
Why learn: A well-designed workflow saves hours every day.
Key concepts: Minimum VRAM, prompt management, asset library, backups.
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π¨ Module 2: Image Creation
From prompt to the perfect image with Midjourney V8.1, FLUX.2, and Stable Diffusion 3.5.
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What is: V8.1 (released 2026-04-30) brings native 2K HD, better prompt adherence, and generation 4-5Γ faster than V7.
Why learn: Midjourney leads in aesthetics. Mastering V8.1 is the shortest path to professional concept images.
Key concepts: Prompt anatomy, parameters (--ar, --s, --c), image reference, V8 Alpha vs V8.1.
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What is: FLUX.2 Pro leads in photorealism. SD 3.5 remains a benchmark for customization.
Why learn: Open-source = full control + zero cost when running locally. Essential for high-volume production.
Key concepts: LoRA, ControlNet, samplers, FLUX.1.1 Pro vs FLUX.2 Pro.
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What is: Keep the same character or style across multiple scenes using reference, --cref, and trained LoRAs.
Why learn: Without consistency, you can't create a visual narrative. A key skill for storyboards.
Key concepts: --cref, --sref, IPAdapter, custom LoRA training.
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What is: Generate product mockups and photos with FLUX.2 Pro and lighting/material techniques.
Why learn: The e-commerce market demands endless photos. AI produces in minutes what takes a studio days.
Key concepts: Lighting, materials, angles, photoreal vs. hyperreal.
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π¬ Module 3: Your First Videos
Create your first AI videos: Kling 3.0, Runway Gen-4.5, Pika 2.5, Hailuo, and ElevenLabs.
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What is: Kling 3.0 (released 2026-02-05): native 4K, multi-shot storyboard, and synchronized audio in one pipeline.
Why learn: Unbeatable value for Brazilian creators. Built-in audio eliminates the need for a separate TTS step.
Key concepts: Image-to-video, motion brush, native lip sync, per-second costs.
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What is: Runway Gen-4.5 leads benchmarks (1247 Elo). Pika 2.5 introduced Pikaswaps and Pikaffects.
Why learn: Runway is the professional option. Pika is more beginner-friendly ($8/month, 30-40s of generation).
Key concepts: Aleph editing, camera control, Pikaswaps, Pikaffects.
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What is: Hailuo at $0.28/video, Vidu Q3, Seedance 2.0 (native multi-shot), Wan open-source.
Why learn: For volume and cost, Chinese tools make hundreds of videos per month feasible.
Key concepts: MiniMax, Seedance multi-shot, ByteDance, Alibaba Wan, comparative costs.
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What is: ElevenLabs v3 β the most expressive TTS on the market, with audio tags and voice cloning.
Why learn: Good voice transforms video. In May/2026, ElevenMusic unifies voice+music+SFX on iOS.
Key concepts: Voice cloning, audio tags, Scribe v2 STT, SFX v2, ElevenMusic.
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βοΈ Module 4: Editing and Post-Production
CapCut with AI, automatic captions, VFX, and professional finishing.
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What is: CapCut with AI: automatic cuts, beat sync, background removal, smart captions.
Why learn: Manual short-form video editing is a bottleneck. AI speeds it up 10Γ while maintaining quality.
Key concepts: Auto-cut, beat sync, background removal, smart captions.
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What is: Complete captioning pipeline (Scribe v2, Whisper) + translation + lip-sync dubbing.
Why learn: Internationalizing content multiplies your reach without redoing recordings.
Key concepts: Speech-to-text, multilingual voice cloning, lip sync.
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What is: Accessible VFX with AI: automatic rotoscoping, background replacement, intelligent color grading.
Why learn: Effects once out of reach for solo creators now fit into simple workflows.
Key concepts: Mask, AI rotoscoping, color grading, slow motion.
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What is: Codecs, export formats (vertical/horizontal), AI thumbnails, optimization for each platform.
Why learn: A well-edited video can fail if exported poorly. Proper finishing multiplies engagement.
Key concepts: Codecs (H.264, H.265, AV1), aspect ratios, thumbnails, A/B testing.
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π Module 5: Level 1 Final Project
Do it all: plan, produce assets, edit, and publish your first complete project.
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What is: Briefing, script, storyboard, and realistic scope definition.
Why learn: 90% of projects stall due to lack of planning.
Key concepts: Briefing, persona, mood board, story beats.
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What is: Coordinated generation of images, videos, and audio using all the tools from modules 2β3.
Why learn: Producing at scale while maintaining visual consistency is what defines a professional.
Key concepts: Asset library, naming convention, version control.
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What is: Editing with pacing, color grading, soundtrack, and mixing.
Why learn: Editing is where the project becomes a story.
Key concepts: Pacing, color, mix, J-cut, L-cut.
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What is: Platform-specific exports, copy, hashtags, scheduling, and metrics.
Why learn: Each platform has its own rules.
Key concepts: YouTube, TikTok, Reels, metrics, retention.
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