Advanced ハンズオン学習 Tools for Professionals

Discover cutting-edge ハンズオン学習 tools built for intricate workflows. Perfect for experienced users and complex projects.

ハンズオン学習

  • Botley the Coding Robot teaches coding through play for kids as young as 5.
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    What is Botlly.com - AI Content Generation Tool?
    Botley the Coding Robot makes learning to code fun and engaging for young children. Designed for kids aged 5 and up, Botley offers a screen-free coding experience that encourages hands-on learning. The robot comes with an easy-to-use remote programmer, detachable robot arms, and coding cards. Botley can be programmed to navigate obstacle courses, follow looping commands, and even perform transformations, making it an exciting and educational tool for early STEM education.
    Botlly.com - AI Content Generation Tool Core Features
    • Screen-free coding
    • Remote programmer
    • Detachable robot arms
    • Obstacle navigation
    • Looping commands
    • Transformations
  • Discover the power of generative AI with our comprehensive course.
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    What is Corso intelligenza artificiale: AI coach?
    Our course delves into generative AI and SEO, targeting both novices and experienced professionals. You'll explore underlying concepts and practical applications, guided by Piergiorgio Zotti, a seasoned trainer with a decade of experience in digital marketing. The coursework combines theoretical knowledge with hands-on exercises to equip you with skills needed to leverage AI effectively in your work. Whether you're seeking enhancement in your career or personal projects, this course is designed to help you gain practical insights and strategies.
  • An open-source tutorial series for building retrieval QA and multi-tool AI Agents using Hugging Face Transformers.
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    What is Hugging Face Agents Course?
    This course equips developers with step-by-step guides to implement various AI Agents using the Hugging Face ecosystem. It covers leveraging Transformers for language understanding, retrieval-augmented generation, integrating external API tools, chaining prompts, and fine-tuning agent behaviors. Learners build agents for document QA, conversational assistants, workflow automation, and multi-step reasoning. Through practical notebooks, users configure agent orchestration, error handling, memory strategies, and deployment patterns to create robust, scalable AI-driven assistants for customer support, data analysis, and content generation.
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