Top 6 Udemy Courses to Learn Streamlit and Build LLM-Powered Web Apps (2025)

My favorite Udemy courses to learn Streamlit for building LLM powered UI and Apps + StreamLit RoadMap

StreamLit RoadMap

Hello guys, In today’s AI-driven world, building and deploying web applications that integrate Large Language Models (LLMs) is a highly valuable skill.

Streamlit, an open-source Python framework, has become the go-to tool for data scientists, ML engineers, and AI enthusiasts to create beautiful, interactive apps — without needing to master front-end development.

If you’re looking to harness the power of Streamlit to build dashboards, deploy machine learning models, or integrate LLMs into production apps, Udemy offers some fantastic courses that can guide you step-by-step.

If you want to learn Streamlit framework and looking for resources then you have come to the right place.

Earlier, I have shared best ChatGPT courses, best Data Science courses and best Machine Learning courses as well as 10 Must Read AI And LLM Engineering Books and in this article, I am going to share best Udemy courses to learn Streamlit and building LLM powered UI and apps in 2025.

These courses will help you gain confidence with Streamlit and start building real-world AI-powered web apps.

Let’s dive into the 6 best courses to master this game-changing skill.

By the way, if you are new to AI world then I highly recommend you to start with The AI Engineer Course 2025: Complete AI Engineer Bootcamp, one of the most comprehensive resource to become an AI Engineer in 2025.

6 Best Udemy Courses to Learn Streamlit in 2025

Here are my favorite Udemy courses to learn Streamlit and how to use it to build LLM Powered UI and Web Apps.

1. Master Streamlit: Build Dashboards with Streamlit & Python

This is one of the most practical courses for learning how to build data apps and dashboards with Streamlit.

You’ll learn not only Streamlit basics but also how to integrate Pandas and Python effectively. The course even touches on how you can freelance using these skills.

Here are the key skills you’ll learn:

  • Build and deploy Streamlit data products
  • Use Pandas for data manipulation
  • Design and publish dashboards that look professional
  • Tips for becoming a Streamlit freelancer

This Udemy course is best for Python developers who want to create clean, production-ready dashboards.

Here is the link to join this Streamlit course — Master Streamlit: Build Dashboards with Streamlit & Python

2. Learn Streamlit Python

If you want a fast track to creating attractive and functional ML web apps without worrying about HTML/CSS/JS, this course is a great choice. It focuses on Streamlit’s rapid app development capabilities and is designed for beginners to intermediates.

What you’ll learn:

  • Quickly build data science and ML apps with Python
  • Add charts, widgets, and interactivity
  • Build apps to share with stakeholders and clients

This online course is best for those who want a quick, hands-on intro to Streamlit.

Here is the link to join this course — Learn Streamlit Python

3. Machine Learning Model Deployment with Streamlit

This course focuses on the deployment side of things — a crucial skill if you want to showcase your ML models or LLM projects to the world. The instructor walks you through deploying models and making them accessible via interactive web apps.

What you’ll learn:

  • Deploy ML models using Streamlit
  • Package your models and apps for sharing
  • Build user-friendly front-ends for ML projects

This course is best for ML engineers and data scientists who want to share their work easily.

Here is the link to join this course — Machine Learning Model Deployment with Streamlit

4. Streamlit for Snowflake Masterclass Hands-On

If you want to combine Streamlit with cloud data platforms like Snowflake, this course is for you. It teaches how to build apps locally and then deploy them within Snowflake’s environment.

Here are things you will learn in this course:

  • Build Streamlit apps from scratch
  • Integrate with Snowflake
  • Create native apps inside Snowflake

This Udemy course is best for data engineers and analysts working with big data ecosystems.

Here is the link to join this course — Streamlit for Snowflake Masterclass Hands-On

5. 2025 Deploy ML Model in Production with FastAPI and Docker

While not 100% Streamlit-focused, this bestseller is a must if you want to learn how to deploy LLM models (ViT, BERT, TinyBERT) with Streamlit, FastAPI, and Docker. It’s ideal for those aiming for production-level deployment on AWS.

Here are key things you will learn in this course:

  • Fine-tune HuggingFace transformers (BERT, ViT)
  • Build Streamlit apps for ML models
  • Use FastAPI, Docker, and AWS for scalable deployment

This online course is best for engineers building AI SaaS apps or looking for end-to-end deployment skills.

Here is the link to join this course — 2025 Deploy ML Model in Production with FastAPI and Docker

6. Master Streamlit: Build Interactive Data Apps with Python

This is a comprehensive course designed to take your Python scripts and turn them into full-fledged interactive web apps. If you’re aiming to build dashboards with features like widgets, layout management, API integrations, and visualizations, this course covers it all.

What you’ll learn:

  • Creating interactive UI with Streamlit widgets
  • Managing layouts for responsive designs
  • Integrating APIs into your apps
  • Deploying data apps to the web

This course is great for data enthusiasts who want to transform notebooks into interactive applications with minimal frontend work.

Here is the link to join this course — Master Streamlit: Build Interactive Data Apps with Python

That’s all about the top 6 Udemy courses to learn Streamlit in 2025. If you’re serious about building LLM-powered web apps, learning Streamlit is one of the smartest moves you can make in 2025. These Udemy courses offer hands-on, practical guidance — from basic app creation to production deployment.

Whether you’re a student, a data scientist, or an ML engineer, mastering Streamlit will help you present your AI/ML models in the best possible light.

Pick a course that suits your current level, roll up your sleeves, and start building!

By the way, if you want to join multiple course on Udemy, its may be worth getting a Udemy Personal Plan, which will give instant access of more than 11,000 top quality Udemy courses for just $30 a month.

If you got a lot of time and want to save money, Udemy Personal Plan will be perfect for you.

If you found this helpful, don’t forget to share or bookmark it for your AI learning journey!

Other AI, LLM, and Machine Learning resources you may like

Thanks a lot for reading this article so far, if you like these best LLM fine-tuning courses on Udemy then please share with your friends and colleagues. If you have any feedback or questions then please drop a note.

P. S. — If you want to learn from books and looking for best AI and LLM Books then I highly recommend you to read AI Engineering by Chip Huyen and The LLM Engineering Handbook by Paul Iusztin and Maxime Labonne, both of them are great books and my personal favorites. They are also highly ecommend on REddit and HN.

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