Mastering DeepScaleR: Build & Deploy AI Models with Ollama

About this course

Mastering DeepScaler and Ollama is your gateway to building, fine-tuning, and deploying AI models locally without relying on expensive cloud APIs. This hands-on course will teach you how to harness the power of open-source AI to create intelligent applications that run on your own machine. You will learn how to work with DeepScaler, a fine-tuned version of DeepSeek-R1-Distilled-Qwen-1.5B, optimized for math reasoning, code generation, and AI automation, while Ollama enables seamless local AI model deployment for efficient and cost-effective AI applications. (AI)This course is designed to take you from beginner to advanced AI development. You will start by setting up DeepScaler and Ollama on Mac, Windows (WSL), or Linux. From there, you will learn how to run AI models locally, eliminating the need for cloud-based APIs. You will build a fully functional AI chatbot using DeepScaler and deploy it via FastAPI. You will also develop an AI-powered Math Solver that can solve complex equations in real time.

A major focus of the course is fine-tuning DeepScaler using LoRA and QLoRA. You will train DeepScaler on custom datasets to improve responses and adapt the model to domain-specific tasks such as finance, healthcare, and legal analysis. The course will also guide you through building an AI-powered Code Assistant, which can generate, debug, and explain code efficiently.

One of the most important aspects of working with AI models is optimization for low-latency responses. You will learn how to improve AI inference speed and compare DeepScaler’s performance against OpenAI’s o1-preview. The course will also introduce Gradio, a tool that allows you to c

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.