
Building Real World Affordable AI Apps With Ollama Locally. Leverage the Power of Llama, DeepSeek, and Codallma..etc.
LLMs & Ollama: Building Real World Free AI Apps with Ollama.
InstructorTemotec Learning Academy
Building Real World Affordable AI Apps With Ollama Locally. Leverage the Power of Llama, DeepSeek, and Codallma..etc.
InstructorTemotec Learning AcademyComidoc has tracked 2 coupons for this course since 2026, last checked 1 month, 6 days ago.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| Coupon code5BCCDC388F40330FF590 | Discount100% off | Added | StatusExpired | Lifetime30d 23h |
| Coupon code193F3490CC936C386AC4 | Discount100% off | Added | StatusExpired | Lifetime30d 23h |
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CouponEditorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This introductory slide outlines the course focus on programming, AI, and large language models using Python, emphasizing that basic knowledge is helpful but expertise is not required.
This instructional slide outlines the necessary development environment setup, specifying that Python must be installed and recommending VS Code as the preferred code editor.
This slide clarifies that the course does not cover Python and VS Code installation steps, directing learners to an external knowledge base for setup assistance.
This slide outlines the course's learning approach, emphasizing a mix of theory for understanding concepts and hands-on practice to ensure practical experience sticks.
The curriculum features structured workflows for creating a RAG application with vector embeddings and an AI code assistant with chat capabilities.
Instruction covers interaction with various local interfaces such as Msty, LM Studio, and Open Web UI, alongside the Ollama Python library.
One signal from April 2026 suggests that video edits containing added keywords can disrupt the learning flow; note that the Udemy update label does not prove this has been corrected.
The curriculum aligns well with the stated goals of Python programmers and privacy-focused developers.