Create Local AI Models with DeepScaler and Ollama

Enroll in this Free Udemy Course to learn how to develop and deploy AI models locally with DeepScaler and Ollama!

Mastering DeepScaler and Ollama empowers you to build, fine-tune, and deploy AI models locally, completely independent of expensive cloud services. This hands-on course is designed to equip you with the skills necessary to harness the potential of open-source AI tools, allowing you to create intelligent applications that can run seamlessly on your own machines.

Starting from the basics, this course guides you through the setup of DeepScaler and Ollama on Mac, Windows (WSL), or Linux. You’ll learn how to run sophisticated AI models without relying on external APIs, culminating in the creation of various applications like AI chatbots and a Math Solver that addresses complex equations in real-time. Fine-tuning models using advanced techniques such as LoRA and QLoRA will be a key focus, helping you adapt DeepScaler to specific domains such as finance, healthcare, and legal scenarios.

Further expanding your expertise, this course will introduce you to optimizing AI inference speed through practical benchmarks against OpenAI’s models. With Gradio, you can design interactive web-based AI applications, enabling easier model deployment and testing in user-friendly interfaces. By the conclusion of this course, regardless of your previous knowledge in AI, you will have the tools to create multiple fully functional AI-powered applications that operate locally and efficiently.

What you will learn:

  • Set up DeepScaler & Ollama for local AI model execution.
  • Run AI models locally without relying on cloud APIs.
  • Build an AI-powered chatbot using DeepScaler & FastAPI.
  • Develop an AI Math Solver that handles complex equations.
  • Deploy DeepScaler models via REST APIs for real-world use.
  • Integrate DeepScaler with Gradio for web-based AI tools.
  • Benchmark DeepScaler vs OpenAI models in performance tests.

Course Content:

  • Sections: 2 sections
  • Lectures: 6 lectures
  • Duration: 1h 25m

Requirements:

  • Basic Python knowledge (helpful but not mandatory).
  • Familiarity with command-line tools (Linux/Mac/Windows Terminal).
  • A computer with at least 8GB RAM (higher for better performance).
  • Ollama installed (we’ll guide you through setup).
  • Internet connection for downloading models (offline use supported after setup).
  • Interest in AI, LLMs, and model deployment.
  • No prior deep learning or ML experience needed!

Who is it for?

  • AI Developers & Engineers – Learn to build, fine-tune, and deploy AI models efficiently.
  • Data Scientists – Optimize AI-powered applications for local and enterprise use.
  • Software Developers – Integrate AI into projects without relying on cloud APIs.
  • AI Enthusiasts & Researchers – Experiment with local AI models and custom fine-tuning.
  • Tech Startups & Entrepreneurs – Deploy AI chatbots, assistants, and automation tools.
  • Students & Learners – Gain hands-on experience with AI model deployment.
  • Makers & Hobbyists – Run AI models on personal devices for fun projects.

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