Plan, build, launch fast: Apply a rapid-prototyping framework to scope, build, and deploy an interactive GenAI app.
CourseIntermediate9 hours 21 mins
Fast Prototyping of GenAI Apps with Streamlit
Instructor: Chanin Nantasenamat
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Also available on Coursera
- Intermediate
- 9 hours 21 mins
- 45 Video Lessons
- 3 Graded Assignments PRO
- Earn a certificate with PRO
- Instructor: Chanin Nantasenamat
Snowflake- Learn more aboutMembership PRO Plan
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Also available on Coursera
What you'll learn
Build inside Snowflake: Develop in Snowflake’s secure data environment, tap its LLM-powered insights, and publish to Snowflake or Streamlit Community Cloud for instant feedback.
Iterate toward production: Use a prioritized feedback loop plus prompt engineering and RAG to refine your prototype and move it confidently toward real-world deployment.
Why Enroll?
Fast Prototyping of GenAI Apps with Streamlit tackles a simple but costly problem: product ideas lose momentum when they linger in discussions, drawn-out specifications, and intangibles that slow down the decision-making process. In the constantly evolving world of generative AI, the ability to prototype quickly is a significant competitive advantage. Teams that can show working demos and iterate fast influence roadmaps, shape decisions, and win resources. Generative AI makes this speed accessible to everyone.
This course gives you that speed advantage. You’ll explore how GenAI streamlines the prototyping workflow, facilitates fast iteration and validation of product-market fit, and allows anyone, regardless of coding experience, to participate in the app creation process.
You’ll learn to turn a few lines of Python into a shareable Streamlit web app, cut down iteration time from weeks to hours, and improve the performance of your application easily using Cortex AI (free 120-day trial included).
You’ll start with a basic chatbot, layer on prompt engineering and RAG, and publish the result to Snowflake or Streamlit Community Cloud for real-time feedback.
By course end, you’ll leave with a working GenAI app, a repeatable MVP-first framework, and the skills to validate any new idea as soon as it strikes.
What is Streamlit?
Streamlit is an open-source Python library that turns a few lines of code into interactive, data-driven web apps in minutes, no front-end skills required. Its simplicity and speed have made it a go-to tool for thousands of developers who need to share insights or prototype AI features fast.
In partnership with
We partnered with Snowflake so you can turn ideas into GenAI prototypes fast and spend more time acting on feedback. Inside Snowflake’s secure platform, you’ll pair Streamlit with Cortex AI to build and refine apps in a secure and production-ready environment.
Instructor
Course Outline
Fast Prototyping of GenAI Apps with Streamlit
Module 1: Introduction to Prototyping Generative AI Applications
Module 2: Fast Prototyping with Streamlit in Snowflake
Module 3: Iterative Improvement
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Build GenAI prototypes in hours, not weeks
Build share-ready Generative AI apps without wrestling with front-end code. In this course, you’ll start from a few lines of Python and Streamlit, the open-source library that turns scripts into interactive web apps, then incrementally shape your prototype into a more capable LLM application.
Build an interactive Streamlit analytics assistant that mines a customer-review dataset for sentiment insights within your own Snowflake account (120-day free trial included).
Improve response quality with structured prompt engineering and RAG, grounding each answer in the review data.
Ship your prototype to internal Snowflake workspaces, or publish it to Streamlit Community Cloud, gather feedback, and iterate fast with the course’s MVP playbook.
Skills you will gain
Rapid MVP Prototyping
Fast MVP Prototyping
Generative AI App Development
Prompt Engineering
Retrieval Augmented Generation (RAG)
Vector Search
Iterative Development & Feedback Loops
Cloud Deployment
Who this course is for
If you’re comfortable coding in Python and familiar with generative AI and the basics of prompting, this course is perfect for you! Basic knowledge of SQL is helpful but optional.
Learner reviews from other DeepLearning.AI courses
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What I loved about the “AI for Everyone” course was the comprehensive coverage of essential AI topics, guided by the expertise of Andrew Ng. The course provided a clear roadmap for initiating and managing AI projects, from project selection to implementation. It also offered insights into building AI teams and introduced the technical tools necessary for AI success
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Simple enough to make it easy to understand in spite of being a complex topic, inspiring speaker. Time well spent, and a good fit with “lifelong learning” approach.
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What stood out to me about this course was the clarity and simplicity with which complex AI concepts were explained. The real-life examples and case studies helped me grasp the practical implications of AI in different sectors. The interactive nature of the course made learning engaging and enjoyable.
Krystal L.
I am an educator and looking to incorporate AI into my career and help my colleagues to do the same. The course did a great job explaining AI concepts to people like myself who are just learning about any of this for the first time.
John S.
I took this course purely out of curiosity. After becoming aware of ChatGPT and Midjourney and then taking a short course on engineering the prompts to get the desired result, I became more intrigued with the topic of AI. I found this most helpful with regards to getting an idea about what AI actually is as opposed to what Hollywood conditioned me to believe it might be.
Muhammad S.
Loved the content. It brought simplicity to the complex topic of AI, separated signal from noise, presented a great flow and covered the most relevant topics.
Andrew’s knowledge and passion about the subject of AI was amazing. It was inspiring to listen to him, even via recorded videos. Its really great to be in this era of technology, as it makes it possible to get access to the wealth of knowledge so easily.
Frequently Asked Questions
Do I need to know a programming language?
Yes, the course is designed for practitioners already familiar with basic Python programming.
Do I need to have experience with generative AI models?
You do not need to have any prior experience with generative AI, but knowing the basics of how generative AI works and how to interact with a model will be helpful.
Do I need to have a subscription to OpenAI, Snowflake or any other app?
No, the course includes a free trial of the Snowflake platform that will provide any required API calls to relevant generative AI models.
Do I need to take the courses in a specific order?
We recommend taking the courses in the prescribed order for a logical and consistent learning experience.
I have questions about my subscription of this course, whom can I ask?
Please use the Coursera Learner Help Center for questions about your subscription.
How much does this course cost?
A Coursera subscription costs $49 / month.
Can I apply for financial aid?
Yes, Coursera provides financial aid to learners who cannot afford the cost of a subscription.
Can I preview this course?
> Yes! You can preview the course for free by accessing the entire first module at no cost. This allows you to explore the learning experience before deciding if you’d like to continue. If you want full access to all modules, assessments, and the certificate of completion, you’ll need to upgrade to the paid version.
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