Ultimate Voice AI Course for Complete Beginners (No code)

Create your first voice ai agent with vaapi, adjusting the first message and system prompt, publishing changes, and understanding how user prompts and system prompts shape responses.

Personalize the agent's voice by selecting 11 labs, using the Jessica in 11 flash v2 model, and publishing the assistant, with a note to use setup 4.1.1 instead of GPT-5.

Explore how agents fuse a large language model, tools, memory, and planning to power voice AI tasks like calendar booking, email, and internet search, with current_time providing real-time context.

Learn how to give our AI agent external tools by specifying a tool name, description, and server URL to fetch random facts and interact with outside resources.

Go live with a real phone call by setting up an online number, choosing free Vappie numbers or international options via talk you now or open phone, and testing calls.

Discover how voice AI agents work from speech-to-text to llm reasoning and text-to-speech output. Explore latency, drop it real-time API, and the roles of transcriber and 11 labs.

Set up an email workflow with the AI agent via n8n, extracting caller name and number from transcripts and emailing them to you for follow-up, with no coding required.

Learn how to set up n8n, start a free trial, verify email, create workflows with a webhook, and automate emails after calls.

Create and configure your own Vapi voice assistant from scratch, choosing a provider, setting prompts, tokens, voice, and end-of-call reporting, then publish and prep structured data.

Set up n8n and email by configuring a webhook with a production url and post method, connect Gmail, and email transcripts of calls.

Learn how prompt engineering shapes AI outcomes by giving clear role definitions, context, and examples, and by specifying format and positive and negative examples to improve results.

Explore the four pillars of prompt engineering—role, context, guidelines, and examples—as the foundation for building effective voice AI prompts, detailing persona, environment, rules, and sample conversations.

Master markdown formatting to structure information for readability and AI and LMS workflows, using hashtags for h1, h2, and h3 headings, bullet lists, and clear sections to improve prompts.

Outline seven essential sections of a good voiceover prompt—role, context guidelines and examples, tone and style, closing call, and notes—and compare inbound versus outbound agents for production use.

Learn to apply course prompts to your use case—adapt example prompts for a real estate agent, filter spam calls, collect names and reasons, and route leads to live agents.

Explore how a no-code website builder uses natural language prompts to create a modern site, lets you customize colors and content, and publish with free credits.