What You'll 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.
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 This Course is 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.
Your Instructor
School of AI
AI Academy
4.4 Instructor Rating
8,562 Reviews
328,933 Students
86 Courses
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