Description
Build Local AI Apps with Ollama, Python, and Streamlit is a course on using Ollama, Python, and Streamlit to develop AI-based applications published by Udemy Online Academy. This course is a practical guide to developing AI-based applications that run entirely on your local machine using Ollama, Python, and Streamlit. Designed for developers, AI enthusiasts, and data scientists, this course teaches you how to build private, offline AI solutions without relying on cloud-based services. This hands-on course teaches you how to create complete local AI applications without relying on paid AI APIs or sending sensitive data to external cloud services.
Individuals will learn how to install and manage large local language models with Ollama, integrate them into Python applications, create interactive user interfaces with Streamlit, implement rapid engineering techniques, process documents, and build intelligent assistants for a variety of real-world use cases. By the end of the course, you will have learned how to structure multi-page Streamlit applications, manage models and documents, optimize performance, implement event logging and validation, evaluate retrieval quality, compare model responses, rebuild vector indices, and monitor user feedback.
What you will learn in Build Local AI Apps with Ollama, Python, and Streamlit:
- Connect Python applications to Ollama models.
- Build interactive AI applications with Streamlit.
- Create chatbots with memory, personas, and conversation history.
- Process PDF and text documents for local AI workflows.
- Create embeds and perform semantic search with ChromaDB.
- Build citation-enhanced retrieval generation applications.
- Create JSON outputs, summaries, flashcards, and structured quizzes.
- Build AI applications and research workflows using tools.
- Evaluate, optimize, and manage production-ready local AI applications.
- And…
Course specifications
Publisher: Udemy
Instructors: School of AI and Arjun Vaid
Language: English
Level: Introductory to Advanced
Number of Lessons: 42
Duration: 7 hours and 29 minutes
Course topics
Build Local AI Apps with Ollama, Python, and Streamlit Prerequisites
Basic computer skills and confidence installing software.
A Windows, macOS, or Linux computer capable of running Ollama.
At least 8 GB of RAM; 16 GB or more is recommended.
Sufficient free storage for downloading local AI models.
Basic Python knowledge is helpful but not required.
No previous machine learning or AI experience is necessary.
No paid AI API subscription is required.
A code editor such as Visual Studio Code is recommended.
An internet connection is needed initially to install tools and models.
A willingness to follow practical exercises and experiment with code.
Pictures
Build Local AI Apps with Ollama, Python, and Streamlit introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 2160p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
6.8 GB