Development

[ES] IA Full-Stack con Ollama: Llama, Deepseek, Mistral, QwQ

Course Overview

  • Course Title: ES IA Full-Stack con Ollama: Llama, Deepseek, Mistral, QwQ
  • Instructor: Jet Drag Academy: School of AI
  • Target Audience:
    • Developers
    • Data scientists
    • Entrepreneurs
    • Researchers
    • AI enthusiasts
  • Prerequisites:
    • Basic programming knowledge
    • Basic understanding of AI and machine learning
    • Familiarity with web development (optional)

Curriculum Highlights

  • Key Topics Covered:
    • Implementing AI models with Ollama
    • Creating AI-powered applications
    • Natural language processing tasks
    • Developing AI assistants
    • Code generation and debugging with CodeLlama
    • Integrating AI in web apps with FastAPI
    • Automating tasks with AI
    • Using real data and APIs for AI insights
    • Optimizing AI performance
  • Key Skills Learned:
    • Installing, configuring, and running AI models
    • Building and deploying AI applications
    • Text summarization and content generation
    • Creating chatbots and personal assistants
    • Code generation and debugging
    • Real-time data processing with APIs
    • Performance optimization

Course Format

  • Duration: 4.5 hours on-demand video
  • Format: Self-paced online course
  • Resources:
    • 13 downloadable resources
    • Access on mobile and TV
    • Certificate of completion
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