Course Overview

🎵 **Generative AI Music Creation & Voice-Over**

🧠 **Course Overview:**
This course teaches how to use generative AI to compose original music, create soundscapes, synthesize vocals, and produce high-quality voice-overs for videos, games, and media. You'll learn tools, workflow design, and how to fine-tune AI models for emotion, tone, and language.

🕒 **Duration:**
8 weeks (can be adapted for 4-week intensive or 12-week deep program)

🎯 **Learning Outcomes:**
By the end of the course, learners will be able to:
• Compose music using AI-powered tools and models
• Generate vocals and harmonies from text or MIDI inputs
• Create professional-grade voice-overs in multiple accents and tones
• Apply AI sound design to games, film, and marketing content
• Mix, master, and refine AI-generated audio
• Build an AI-assisted production workflow

🧩 **Module 1: Introduction to Generative AI in Music**
• History of AI-generated music
• Overview of key AI models (Jukebox, Riffusion, Suno, MuseNet, Mubert, OpenAI Audio Tools)
• Understanding prompt-based and data-driven generation
• Ethics and copyright in AI music

🧰 **Practical:** Explore and experiment with free AI music generators

🧩 **Module 2: Fundamentals of Music Theory & Digital Audio**
• Basics of scales, chords, rhythm, and harmony
• Introduction to Digital Audio Workstations (Ableton, FL Studio, Logic, LMMS)
• Understanding BPM, MIDI, VST, and sound layering

🧰 **Practical:** Create a simple track using AI-generated stems

🧩 **Module 3: AI Tools for Music Composition**
• Text-to-music generation
• Fine-tuning AI for specific genres (LoFi, EDM, Classical, Cinematic)
• Combining AI instruments and human touch
• Leveraging AI plugins in DAW

🧰 **Practical:** Generate a genre-specific song using AI prompts

🧩 **Module 4: AI in Voice Synthesis and Cloning**
• Understanding TTS (Text-to-Speech) and voice synthesis models
• Emotional tone and speech control
• Ethical voice cloning and consent frameworks

🧰 **Practical:** Generate a custom AI voice from text input

🧩 **Module 5: Voice-Over Production Workflow**
• Script writing for voice-overs
• Using AI for speech pacing and intonation
• Editing, noise reduction, and mastering
• Multilingual voice-over generation

🧰 **Practical:** Create a 1-minute commercial voice-over in two accents

🧩 **Module 6: AI Music and Voice Integration**
• Syncing AI music with AI voice for videos
• Adaptive background scoring for games and animation
• Using AI to match emotional tone between narration and music

🧰 **Practical:** Produce a short video clip with AI music and AI voice

🧩 **Module 7: Mastering, Copyright & Publishing**
• AI mastering tools (LANDR, iZotope Ozone, MasteringBox)
• Audio branding and sound signature creation
• Understanding copyright, licensing, and royalty for AI music
• Uploading to streaming platforms

🧰 **Practical:** Master an AI song and prepare for Spotify/YouTube release

🧩 **Module 8: Final Project**
• Students build a 2–3 minute AI-generated soundtrack or ad with AI voice-over
• Presentation and feedback session
• Showcase of top projects on social platforms or class album

🛠️ **Tools & Software Covered:**
• AI Music: Suno, Mubert, Soundful, MuseNet, Jukebox, Riffusion
• Voice Generation: ElevenLabs, Play.ht, Resemble.ai, Coqui.ai
• DAW & Editing: Ableton, FL Studio, Audacity, Reaper
• Mastering & Mixing: iZotope Ozone, Auphonic, LANDR
• Video Sync (Optional): Adobe Premiere, DaVinci Resolve

🎓 **Certification:**
Students receive a "Certified AI Music & Voice-Over Creator" certificate upon completion, plus a personalized project portfolio.

💡 **Bonus Add-ons (Optional):**
• Guest sessions by AI music composers & voice artists
• Live hackathon: "Create a song in 2 hours with AI"
• Mentorship on commercializing AI compositions