Development

[NL] Full-Stack AI met Ollama: Llama, Deepseek, Mistral, QwQ

Course Overview

  • Course Title: [NL] Full-Stack AI met Ollama: Llama, Deepseek, Mistral, QwQ
  • Instructor: School of AI (AI Academy)
  • Target Audience:
    • Beginners in AI development seeking hands-on guidance
    • Experienced developers looking to integrate large language models (LLMs) into applications
    • Data scientists, entrepreneurs, researchers, and AI enthusiasts
    • Professionals interested in AI automation, NLP, and full-stack AI integration
  • Prerequisites:
    • Basic programming knowledge (Python experience helpful but not required)
    • Fundamental understanding of AI/Machine Learning (no deep expertise needed)
    • Optional: Familiarity with web development (HTML, JavaScript, FastAPI)

Curriculum Highlights

  • Key Topics Covered:

    • Local AI model installation & execution with Ollama
    • Working with LLaMA 3, Mistral, CodeLlama, Mixtral, DeepSeek-R1, QwQ, Phi-2, MedLlama2, Granite3.2
    • Natural Language Processing (NLP) tasks: summarization, generation, correction, extraction
    • AI assistant development: chatbots, customer service bots, personal assistants
    • Code generation & debugging with CodeLlama
    • Task automation: emails, meeting notes, resumes/CVs with AI
    • Live data integration via news & financial APIs
    • Full-stack AI app development with FastAPI, Python, and REST APIs
    • Real-time data processing for news summarization, financial analysis, and job application screening
  • Key Skills Learned:

    • Installing and running open-source LLMs locally without cloud dependencies
    • Building AI-powered web applications with FastAPI & Python
    • Developing NLP-driven tools for text analysis, sentiment analysis, and document processing
    • Creating AI chatbots & virtual assistants for customer service and personal use
    • Automating business workflows (emails, reports, CV screening) with AI
    • Integrating real-time APIs for dynamic AI applications
    • Debugging and optimizing AI-generated code with CodeLlama
    • Designing end-to-end AI solutions from model selection to deployment

Course Format

  • Duration: 4.5 hours of on-demand video
  • Format: Self-paced online course (lifetime access)
  • Resources:
    • 13 downloadable resources (code samples, project files, guides)
    • Mobile & TV access
    • Certificate of completion

Additional Information

  • Language: Dutch (with potential English subtitles/captions, if available)
  • Projects Included:
    • AI-powered news summarizer
    • Proofreading & grammar correction tool
    • Customer service chatbot
    • Business automation assistant (emails, reports)
    • Real-time financial data analyzer
    • Job application screening tool
    • Code generation & debugging assistant with CodeLlama
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