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0. GenAI:データサイエンス修士

Explore LLMs, AI, Gemini, Groq, and Ollama. Learn about cutting-edge artificial intelligence technologies and their applications.

10h 30m
Certificate
Aaron Sanchez
Aaron SanchezData Scientist

Course Content

0. GenAI:データサイエンス修士 is an all-levels Udemy course taught by Aaron Sanchez. It runs 10h 30m, is taught in Japanese, and includes a certificate of completion. It is a paid course, first published August 2025.

Explore the world of Generative AI and unlock its potential for data science! This course delves into the fundamental principles of generative models and their diverse applications, equipping you with the skills to tackle real-world challenges.

Understanding Generative Models & LLMs:

  • Grasp the core concepts of generative models and Large Language Models (LLMs).
  • Learn how LLMs function and how to leverage their capabilities.
  • Master the basics of prompt engineering: crafting effective prompts to elicit desired responses.
  • Discover techniques for adapting LLM outputs to specific contexts.

Evaluating & Processing Data for Generative AI:

  • Understand key metrics for evaluating model output quality, including coherence, relevance, and factual accuracy.
  • Learn about automatic text metrics and how they contribute to model assessment.
  • Explore data preprocessing strategies for text, images, and documents to prepare them for generation and search tasks.

Advanced Techniques & Applications:

  • Analyze inference, fine-tuning, and embedding model fine-tuning techniques.
  • Learn how to utilize embeddings for enhanced performance.
  • Discover few-shot learning and custom solution development strategies.
  • Integrate powerful techniques like RAG (Retrieval-Augmented Generation), semantic search, multimodal information retrieval, contextual reasoning, and multimodal analysis into practical applications.

Hands-on Projects:

This course provides practical experience through engaging projects:

  • Invoice Automation: Automate the conversion of PDF invoices to structured Excel reports, extracting key data for streamlined workflows.
  • Legal Document Assistant: Build an LLM-based assistant that leverages PDF legal documents to answer legal questions.
  • Image Captioning: Design a model that analyzes images and generates descriptive captions for improved search and understanding.
  • SQL Query Generation with RAG: Build a tool that allows users to query databases using natural language, enhanced by RAG for improved results.

By combining theoretical knowledge with practical application, this course empowers you with the skills to drive automation, perform advanced analysis, and build intelligent solutions using the latest advancements in generative AI.

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LLM features, RAG, agents and automation wired into a real product — built by the devs who shipped this site.