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