🎈 The 30 Days of AI challenge starts today!

[dataprofessor]

30 Days of Streamlit is back…this time with an AI twist! Get ready for an exciting journey to build AI-powered apps with Streamlit and Snowflake’s Cortex AI.

Streamlit

What You’ll Learn

Over the next 30 days, you’ll progress from basic concepts to advanced techniques:

• Week 1 (Days 1-7): The Basics - Your first LLM calls, streaming, and caching
• Week 2 (Days 8-14): Building Chatbots - Chat interfaces and session state
• Week 3 (Days 15-21): RAG Applications - Retrieval-Augmented Generation
• Week 4 (Days 22-30): Advanced Features - Multimodal AI, Agents, and Deployment

The Challenge Starts TODAY!

Daily challenges will be posted at https://30daysofai.streamlit.app/ as we progress through the 30-day journey. Each day, you’ll find:

• A new coding challenge
• Detailed explanations
• Key concepts and best practices

Prerequisites

• FREE Snowflake Trial Account with Cortex AI enabled
• Python 3.10+
• Basic Python knowledge

Get Ready

Make sure you have:

1. Installed the required dependencies (pip install -r requirements.txt)
2. Have your Snowflake credential ready
3. A curious mind and enthusiasm to learn!

Finish the challenge and earn some swag!

What do you say? Challenge accepted? Share your progress using hashtag 30daysofai here or on X/LinkedIn.

Get started: https://30daysofai.streamlit.app

[Sohini1]

Thanks for the detailed explanation. Excited to participate in this challenge!

[leon5]

let’s lock in! thank you!

[Antony5]

I cant see day 6 challenge.

[Sudeep2]

Thank you for this initiative. I have already joined the challenge and completed it till day 6.

[Tim11]

Thank you for this! Getting a bit of a late start but looking forward to learning and sharing the journey with others. Let’s do this!

[Radu]

Ok, i am on board

[Jessica_Smith]

Hey @Antony5, were you able to see Day 6 eventually? The new days typically populate around 9am PT

[Sohini1]

I love the explanation provided for every task, every code block. It’s day 8 (officially week 2) and we have already created a linkedin post generator app with a perfect UI and content status tracking that keeps users updated about content drafting. Impressive! I hope the community keeps on hosting new challenges like this throughout the year

[Swati4]

@dataprofessor I am very excited sir, enrolled for this challenge today.

[leon5]

Hi everyone!

it’s almost 2 weeks…in fact, it is, considering today. I have been enjoying playing around Streamlit, to think there was a framework like this! Wow! love it!

making my github look pretty in Jan! Day 14, let’s go!

[Mahantesh_Hiremath]

I am onboard it’s nicely thought structured learning

[Sudeep2]

Sharing My YouTube Series: 30 Days of AI Coding with Streamlit

Hey Streamlit Community

I’ve started a YouTube series called “30 Days of AI Coding Challenge”, where I’m building AI apps step-by-step using Streamlit (along with Snowflake).

The goal is simple:

• Make AI + Streamlit beginner-friendly

• Build real, practical apps

• Explain concepts in easy language, one day at a time

What’s covered so far:

• Connecting Streamlit apps with Snowflake

• Streaming AI responses live

• Caching for faster performance

• Building a LinkedIn Post Generator AI app

• Status UI, chat elements & session state

• Slowly moving towards a context-aware chatbot

Each video is short, focused, and builds on the previous day.

YouTube Playlist:
https://www.youtube.com/playlist?list=PLXFE-k6D-ZlWCOmJovH6DHLb2YNWqEfdL

I’d genuinely love feedback from this community — especially on:

• Clarity of explanations

• Streamlit best practices

• What topics you’d like to see next

Thanks to the Streamlit team & community for creating such an amazing platform
Happy building!

[leon5]

30daysofai journey with Snowflake! Here’s what I’ve been exploring in days 25-27:

- Deep dive into SnowSight platform, discovering its robust visualization and analytics features

-

The combination of these tools is revolutionizing how we interact with data and automate processes. Voice interfaces are making data accessibility more intuitive, while Multi-Tool agents are streamlining complex workflows.

Most impressive is how SnowSight brings it all together with powerful visualizations and analytics capabilities.

[leon5]

CHALLENGE COMPLETE!

it was an amazing journey and which i will continue for the rest of the year - I feel like working with Snowflake for Cloud has just highlighted it’s importance - might go pro.

[coder]

Started Jan 2 and wrapped up Jan 31 building daily AI apps with Python, Streamlit, Snowflake, and LangChain. Learned so much along the way!

Day 30 with PydanticOutputParser gave me clean, type-safe outputs
Big thanks to the amazing Streamlit team 30daysofai streamlit #Python snowflake #LangChain #AIApps

[Sohini1]

Completed 30daysofai Challenge. Started on Jan 3, 2026 and today marks the end of this wonderful opportunity. Learned so many new things. Thank you Streamlit community for hosting this program. Would love to participate in the next challenges. See you there!

[Radu]

Done…my Frankenstein is now live https://aiclinicaltrial.mlradu.com/

[Mahantesh_Hiremath]

@dataprofessor @Jessica_Smith Done with 𝗗𝗮𝘆 30/𝟯𝟬

#𝟯𝟬𝗗𝗮𝘆𝘀𝗢𝗳𝗔𝗜 Streamlit | 𝗙𝗿𝗼𝗺 𝗽𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗲𝘀 𝘁𝗼 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴.

𝐶𝑜𝑚𝑝𝑙𝑒𝑡𝑒𝑑 30 𝑑𝑎𝑦𝑠 𝑜𝑓 𝑡ℎ𝑒 30 𝐷𝑎𝑦𝑠 𝑜𝑓 𝐴𝐼 𝑤𝑖𝑡ℎ Streamlit 𝑐ℎ𝑎𝑙𝑙𝑒𝑛𝑔𝑒 𝑏𝑦

Chanin Nantasenamat

𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗲𝗱 𝗮𝗹𝗹 𝗶𝗻 𝘀𝗵𝗼𝗿𝘁 𝘃𝗶𝗱𝗲𝗼𝘀: https://lnkd.in/dTiKU87s(25/30)

(𝗟𝗶𝘃𝗲)𝗔𝗽𝗽 𝗹𝗶𝗻𝗸: LinkedIn (30/30)

The app (where-my-money-went) analyzes chat to identify anomalies/recommendations for spending. It uploads bank statements of 365+ days. I tried ICICI Bank and found some interesting insights about my spending.

app : https://where-my-money-went.streamlit.app/

#LIKE

#SHARE

#𝟯𝟬𝗗𝗮𝘆𝘀𝗢𝗳𝗔𝗜 #𝗚𝗲𝗻𝗔𝗜 #𝗟𝗟𝗠 #𝗥𝗔𝗚 #𝗦𝘁𝗿𝗲𝗮𝗺𝗹𝗶𝘁 #𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲

#𝗔𝗜𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 #𝗠𝗟𝗢𝗽𝘀 #𝗗𝗮𝘁𝗮𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 #𝗕𝘂𝗶𝗹𝗱𝗜𝗻𝗣𝘂𝗯𝗹𝗶𝗰

[Kieran]

Just finished Week 2! I’ve been taking my time going through the excercises slowly. Here’s a deep dive into everything I found out building my first set of AI chatbots.

It also features a deep dive into Streamlit’s order of execution model, and some additional practices I’ve found helpful when writing code for these challenges.

Let me know if you find this helpful, or I’ve missed anything. Looking forward to week 2!

https://medium.com/@kieran_adair/building-an-llm-chatbot-with-streamlit-snowflake-30-days-of-ai-challenge-week-2-c37a8a76eaf6