Run customized LLM models on your system privately | Use ChatGPT like interface | Build local applications using Python
InstructorStart-Tech AcademyComidoc has tracked 5 coupons for this course since 2025, last checked 10 months, 6 days ago. On average, a new coupon appears roughly every 82 days.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| EDUFREE | 100% off | Expired | ~4 daysRan full term | |
| NOVSAVER | 100% off | Expired | ~4 daysRan full term | |
| WINTERCOMING | 100% off | Expired | ~3 daysRan full term | |
| SMARTLEARNFREE | 100% off | Expired | ~5 daysRan full term | |
| SEPT2025FREE | 100% off | Expired | ~4 daysRan full term |
Coupon
Coupon
Coupon
Coupon
Coupon
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This slide introduces the target audience for Ollama applications, illustrating developers, data scientists, and tech enthusiasts as key user groups.
This course overview slide introduces the topic of creating local LLM applications with Ollama, highlighting key learning objectives such as running models locally and understanding their capabilities.
This course features slide outlines that no prerequisites are required to start, while noting that basic knowledge of Python and Command Prompt is advantageous for learners.
This slide introduces the course instructors, Abhishek Bansal and Pukhraj Parikh, detailing their backgrounds in AI, analytics, and relevant industry experience.
Covers diverse model types including text, vision, and code generation, alongside creating custom models from .gguf files.
Includes the full Retrieval-Augmented Generation pipeline through document loading, chunking, and embedding using LangChain.
One signal from a review created before the displayed update suggests that certain libraries have moved to different packages, requiring manual troubleshooting. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
A signal from a review created before the displayed update indicates that instructions for running the Ollama server on Mac were not sufficiently detailed. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
A report indicates that some provided commands may no longer function as intended; note that the update label does not prove a correction has been made.