A chatbot interaction can become confusing long before the underlying technology reaches its limits. Google’s Conversation Design Fundamentals introduces the planning, scripts and interaction choices that help a virtual agent guide someone toward a useful result.
This free introductory course approaches the conversation as a designed experience. It is a useful choice for people working on service journeys, chatbot content or virtual-agent requirements who want a clearer structure before implementation. The focus is on how an interaction unfolds, including what happens when the expected path breaks down.
Course at a glance
| Provider | |
|---|---|
| Platform | Google Skills |
| Level | Beginner |
| Language | English |
| Estimated time | 1 hour 30 minutes; individual study pace varies |
| Format | Self-paced course with linked lessons, three quizzes and a review document |
| Access | Free instruction; sign in with a free learner account |
| Recognition | Completion badge advertised; no professional certification promised |
What you’ll learn
- Explain conversation design and its role in virtual-agent interactions.
- Compare traditional deterministic agents and generative AI agents for different conversational needs.
- Plan goal-oriented conversation flows and write opening, main and closing sequences.
- Explore personality, conversation repairs, clarification and escalation to live agents.
Skills you’ll gain
- Conversation flow planning
- Chatbot script writing
- Interaction structure
- Conversation repair design
- Service handoff planning
Plan the conversation before polishing the wording
The first part of the course examines conversation types, agent selection and the design process. The second develops the script: planning a template, writing an opening, handling ambiguity and building the main and closing sequences. This gives you a useful order of work before adjusting the tone of individual messages.
Later lessons introduce a persona and ways to improve interactions, repair a conversation, escalate to a live agent or reject a request. These topics matter because a useful experience needs more than a pleasant greeting. It also needs a sensible response when the user cannot follow the expected path.
The course covers both traditional and generative AI agents. Its learning value is in comparing the approaches and considering suitable use cases, rather than assuming that the newest model is automatically the right choice for every service interaction.
Try a short service conversation on paper
For an optional exercise, invent a library assistant that helps someone find opening hours. Write a short opening, a clarification question and a closing. Keep the service and its information fictional so that the exercise remains simple.
Now add a user who asks for something the assistant cannot answer. What should the next message do? Could it ask a clearer question, explain a boundary or offer another route? This is independent study guidance, not an advertised Google assignment or a complete chatbot specification.
Read the conversation aloud and look for places where the user is asked to guess what happens next. The aim is to turn the course’s script and repair concepts into something you can discuss, without deploying a live agent or paying for a service platform.
Google presents the course as introductory; WikiFree uses the standard Beginner label. Programming is not added as an admission requirement here. The material is particularly relevant when your contribution involves content, interaction planning or service design rather than building the model itself.
Free instruction and completion details
Google Skills currently advertises the course as Free. Use a free learner account to access the linked lessons and track progress. The public curriculum includes seventeen linked instruction activities, three required quizzes and a review document, with no hands-on cloud lab.
The page advertises a completion badge. It is course recognition, not academic credit or professional certification. Building and hosting an independent chatbot is separate from studying the free design instruction and may involve software or cloud costs.
Browse the free course catalogue to find further learning that fits the foundations you want to build.
Frequently asked questions
Is this a coding course?
Its stated objectives focus on conversation design, choosing an agent approach, writing scripts, personality and handling obstacles or escalation. No hands-on coding lab is listed in the public curriculum.
Does it cover conversations that go wrong?
Yes. The curriculum includes disambiguation, conversation repair, escalation to live agents and rejecting a request, alongside opening, main and closing sequences.
What is included in the free course?
Google Skills advertises the instruction as Free. The current curriculum lists seventeen linked lessons, three required quizzes and a review document. A free learner account is used; independently hosting a chatbot is separate.
Questions & discussion
Share a useful question or correction. Comments appear after moderation. Please avoid personal or sensitive information.