Mastering DeepScaleR: Build & Deploy AI Models with Ollama

Course Overview

• Course Title: Mastering DeepScaleR: Build & Deploy AI Models with Ollama
• Instructor: Vivian Aranha
• Target Audience: AI developers, software engineers, data scientists, tech enthusiasts, students, and beginners interested in local AI model development.
• Prerequisites:
  • 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 (guidance provided)
  • 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

Curriculum Highlights

• Key Topics Covered:
  • 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
• Key Skills Learned:
  • Building and fine-tuning AI models locally
  • Deploying AI models via REST APIs
  • Creating AI-powered chatbots and math solvers
  • Fine-tuning DeepScaler using LoRA and QLoRA
  • Building AI-powered code assistants
  • Optimizing AI inference speed
  • Using Gradio for interactive AI web applications

Course Format

• Duration: 1 hour on-demand video
• Format: Self-paced online course
• Resources:
  • 4 downloadable resources
  • Access on mobile and TV
  • Certificate of completion