Overview
You need background music for videos, voiceovers for e-learning, or clean audio from noisy recordings—but you’re not an audio engineer and you don’t have a recording studio. This one-day intensive course teaches you to use AI tools that generate royalty-free music, create professional voiceovers, clone voices for consistent narration, and rescue poor-quality audio recordings.
You’ll master AI music generation for videos and podcasts, create synthetic voices that sound natural and on-brand, clean up noisy or low-quality recordings automatically, and understand the ethical and legal considerations of voice cloning. Whether you’re producing podcasts, creating video content, building e-learning courses, or managing social media, this course gives you practical audio skills that don’t require expensive equipment or technical expertise.
Format: 1 Day | VILT
Who Should Attend
- Content creators and video producers needing background music and voiceovers
- Podcasters wanting to improve audio quality and create consistent content
- E-learning developers and instructional designers producing narrated courses
- Social media managers creating audio and video content regularly
- Marketers building audio ads, video content, and multimedia campaigns
- Anyone who needs professional audio but lacks recording equipment or audio engineering skills
What You’ll Learn
- Generate royalty-free music tailored to your content’s mood and style
- Create natural-sounding voiceovers using AI text-to-speech tools
- Clone voices ethically for consistent narration across projects
- Clean up and enhance poor-quality recordings automatically
- Remove background noise, echo, and other audio problems without editing skills
- Navigate copyright, licensing, and ethical considerations in AI audio
Course Outline
Module 1: AI Audio Tools Overview and Getting Started
- Understanding the AI audio landscape: music, voice, and repair tools
- Free vs. paid options: which tools deliver professional results
- Copyright and licensing: using AI-generated audio legally and safely
- Ethics of voice cloning: consent, disclosure, and responsible use
- Platform requirements and compatibility across tools
- Setting up your AI audio toolkit for different content needs
Module 2: AI Music Generation for Content
- Getting started with Suno, Udio, Soundraw, and AIVA
- Describing what you want: mood, genre, tempo, and instrumentation
- Creating background music for videos, podcasts, and presentations
- Generating loops, intros, outros, and transitions
- Customizing length, intensity, and musical variations
- Downloading in the right format and integrating into your projects
- When AI music works vs. when to use licensed or stock music
Module 3: AI Voice Generation and Voice Cloning
- Text-to-speech tools: ElevenLabs, Play.ht, Descript, and platform comparisons
- Creating professional voiceovers from scripts
- Choosing voices: tone, accent, gender, and matching to your brand
- Voice cloning: creating synthetic versions of your own voice
- Controlling pacing, emphasis, and emotional tone
- Multi-speaker conversations and dialogue generation
- Ethical guidelines: consent, disclosure, and appropriate use cases
- Editing and refining AI-generated speech for naturalness
Module 4: Audio Repair and Enhancement
- Adobe Podcast Enhance Speech: one-click audio improvement
- Descript Studio Sound: removing background noise and echo
- Cleaning up interviews, lectures, and field recordings
- Removing specific sounds: clicks, pops, hums, and unwanted noise
- Equalizing and balancing audio levels automatically
- Repairing problematic recordings: rescuing what you thought was unusable
- Understanding limitations: when audio is too damaged to fix
Module 5: Practical Workflows and Production
- Podcast production: voiceovers, music, and clean final audio
- Video content: background music, narration, and sound effects
- E-learning and training: consistent narration across modules
- Social media: quick audio creation for reels, stories, and ads
- Combining multiple AI tools in a single project workflow
- Quality control: when AI output is good enough vs. needs professional work
- Building repeatable processes for regular audio content needs
- Exporting in the right formats for different platforms
Prerequisites & Technical Requirements
- Basic computer skills and comfort with web-based tools
- Understanding of your audio content needs (videos, podcasts, e-learning, etc.)
- No audio engineering, music theory, or technical background required
- Headphones or speakers for listening during class
- Sample audio files you want to improve (optional but recommended)
Customization Options
This course can be customized for specific audio production needs—podcast and audio content creation, video production and YouTube content, e-learning and training development, social media and marketing content, or corporate communications and internal training. We can focus on the tools and workflows most relevant to your content type and practice with your actual audio projects for immediately applicable skills.