Gen AI Chatbot with Gemini & Chainlit - Develop to Deploy
Course Overview
What You'll Learn
- Build a chatbot interface using Chainlit
- Integrate Gemini using the Google Gen AI SDK
- Add custom functionality using tools
- Dockerize your chatbot application
- Build and store your container image using Google Artifact Registry
- Deploy the chatbot to Google Cloud Run
- Test your deployed AI application in the cloud
About This Free Course
Want to build your first real Gen AI Chatbot application with Google's Gemini models?
This short, hands-on course takes you from your first Gemini API call all the way to developing & deploying a working AI chatbot on google cloud professional cloud architect practice test 2026.
You will learn how to use Google's Gen AI SDK to interact with Gemini models, control model behavior, manage tokens and costs, connect models to tools, and build conversational applications.
Then we will put those concepts into practice by building a real chatbot using Gemini, the Gen AI SDK, and Chainlit.
But we won't stop at local development.
You will also learn how to:
Build a chatbot interface using Chainlit
Integrate Gemini using the Google Gen AI SDK
Add custom functionality using tools
Dockerize your chatbot application
Build and store your container image using Google Artifact Registry
Deploy the chatbot to Google Cloud Run
Test your deployed AI application in the cloud
The course is intentionally short and focused on practical development. Rather than spending hours on theory, you will learn the essential concepts and immediately apply them by building a working application.
What You Will Learn
By the end of this course, you will be able to:
Understand the fundamentals of Google's Gen AI SDK
Work with Google's Gemini model family
Create applications using the Gemini API
Configure system instructions, temperature, and safety settings
Understand and manage tokens and Gen AI costs
Ground a model using tools
Create and use custom tools with Gemini
Build a conversational chatbot using Chainlit
Package your chatbot using Docker
Push container images to Google Artifact Registry
Deploy your Gen AI chatbot to Google Cloud Run
Take a Gen AI application from local development to a cloud deployment
Course Content:
Section 1: Getting Started with Google's Gen AI SDK
Start by understanding the Google Gen AI SDK and how it can be used to build applications with Gemini.
You will create a Gemini API key, explore Google's model family, and write your first Gemini application.
You will then learn how to control model behavior using system instructions, temperature, and safety settings.
We will also look at token usage and cost management before exploring how models can be grounded using tools and custom functions.
Finally, you will learn how to use the chat functionality provided by the Gen AI SDK.
Section 2: Build and Deploy a Chatbot
Now we put everything together.
You will build a complete chatbot using:
Gemini + Google Gen AI SDK + Chainlit
You will start with a basic chatbot and gradually turn it into a more complete application.
You will then:
Develop → Test → Dockerize → Push to Artifact Registry → Deploy to Cloud Run
By the end of this section, you will have a working Gen AI chatbot running on Google Cloud.
Why Take This Course?
Many Gen AI courses stop after showing you how to send a prompt to an LLM.
This course takes the next step.
You will learn how to take a Gen AI model and turn it into an actual application with a user interface, package it as a container, and deploy it to Google Cloud.
The goal is simple:
Build something that learn ai product management build what actually works.
Who Should Take This Course
"Gen AI Chatbot with Gemini & Chainlit - Develop to Deploy" is aimed at people who want a practical, structured introduction to udemy without paying full price for it. It's a solid fit if you're starting out in udemy and want a guided course rather than piecing tutorials together yourself, if you've tried free YouTube content on the topic and want something more organized, or if you already work in a related area and want a refresher you can finish at your own pace. Since enrollment happens on Udemy itself, you keep full access to view the lectures, download any provided resources, and revisit the material later — this isn't a stripped-down or time-limited version of the course.
Why This Course Is Worth Taking
Our take: this listing earns a spot on FreeWebCart because the coupon we verified actually brings the price to $0, not just a token discount, and the course carries a 5/5 rating on Udemy. That combination — real reviews plus a working 100% OFF code — is what we look for before publishing a udemy course. It won't replace hands-on experience or a full degree program, but as a low-risk way to test whether udemy is worth pursuing further, or to pick up one specific skill, the free price tag makes it an easy yes while the coupon lasts.
Pros & Cons
👍 Pros
- 100% free to enroll via this coupon (normally $19.99)
- Lifetime access on Udemy once enrolled, even after the coupon expires
- Rated 5/5 by past students on Udemy
- Self-paced — no fixed schedule or live sessions to attend
👎 Cons
- Coupon is time-limited and can expire before you enroll
- No live instructor support — questions go through Udemy's Q&A, not us
- Certificate is a Udemy completion certificate, not an accredited qualification
Frequently Asked Questions
Is "Gen AI Chatbot with Gemini & Chainlit - Develop to Deploy" really free?
Yes — we verified a 100% OFF Udemy coupon for this udemy course before publishing it. Enroll directly on Udemy using the button below; no credit card is needed while the coupon is active.
How long will this coupon last?
Udemy coupons typically last 1–3 days or expire after roughly 1,000 enrollments, whichever comes first. If the price on Udemy no longer shows $0 when you click through, the coupon has expired since we last checked it.
Do I keep access after the coupon expires?
Yes. Once you enroll while the coupon is live, "Gen AI Chatbot with Gemini & Chainlit - Develop to Deploy" is yours to keep on Udemy — including any future updates the instructor makes — even after the coupon runs out.
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