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Generative AI All-in-One Guide: From Basics to Latest Trends

Hello. This course is designed to go beyond simply teaching tool usage, helping you understand the 'true principles' of generative AI and develop the insight to read future trends. With countless AI services emerging now, the most important thing is a deep understanding of 'how' AI works and 'why' it produces such results. I have packed all the core knowledge and practical know-how gained through years of AI technology research and project experience into this course. 📚 What Makes This Course Special (3 Key Points) - A compilation of highly reliable knowledge: I created the videos using Google's NotebookLM with vast AI-related materials I personally collected. This allows me to provide the most accurate, in-depth, and organic learning roadmap. - Broad perspective from principles to trends: In Part 2, you'll understand the fundamental principles of generative AI (transformers, diffusion models), and in Part 6, we'll broadly cover the hottest latest trends including AI agents and on-device AI. - Mechanisms for active learning: We don't stop at passive knowledge delivery. Through 'Missions' and 'Summary Reviews' in each section, we provide an active learning environment where learners think directly and make the learned content completely their own. Through this course, you will build a solid foundation to grow as an expert who won't waver in the rapidly changing AI era.

3 learners are taking this course

  • aitutorlab
AI 활용법
AI 코딩
AI
Generative AI

What you will learn!

  • Mastering Core Principles of Generative AI: From Turing Test to Transformers and Diffusion Models, you will systematically understand and be able to explain the core theories that run through all generative AI technologies.

  • Advanced Prompt Engineering Practical Application: Master advanced conversation techniques such as Chain-of-Thought (CoT) that maximize AI's thinking capabilities, enabling you to derive the highest quality results needed for work and creative projects.

  • Understanding AI Extension Technologies and Latest Trends: You can understand how to reduce AI hallucinations using RAG (Retrieval-Augmented Generation) and how to train AI with your own data through fine-tuning.

💡 Course Planning Background and Introduction

Hello. This course is designed to go beyond simply learning how to use tools, and to help you develop insights to understand the 'true principles' of generative AI and read future trends.


With countless AI services emerging today, the most important thing is a deep understanding of 'how' AI works and 'why' it produces such results. I have packed all the core knowledge and practical know-how I've gained through years of AI technology research and project experience into this course.


📚 What Makes This Course Special (3 Key Points)

  1. A highly reliable knowledge repository: I have used Google's NotebookLM to conduct in-depth analysis and systematic structuring of the vast collection of AI-related materials I personally gathered. This has enabled me to provide the most accurate, comprehensive, and organic learning roadmap.


  2. Broad perspective from fundamentals to trends: Understand the fundamental principles of generative AI (transformers, diffusion models) in Part 2, and comprehensively cover the hottest latest trends including AI agents and on-device AI in Part 6.

  3. Devices for Active Learning: We don't stop at passive knowledge transfer. Through each section's 'Mission' and 'Summary Review', we provide an active learning environment where learners directly utilize AI, think critically, and completely make the learned content their own.

Through this course, you will build a solid foundation to grow into professionals who remain unshaken in the rapidly changing AI era.


Features of this course

📌Organic and Systematic Learning: Content from Part 1 (Basic Concepts) to Part 6 (Future Trends) is logically connected, providing not fragmented knowledge but one complete AI roadmap.

📌Part 2 provides an in-depth exploration of key ideas in AI history such as Turing Test, Transformers, and Attention Mechanisms, along with the principles of large-scale data learning, allowing you to build a solid understanding of the technical background.

📌 In Part 4, you'll learn how to maximize AI's potential by mastering the 4 core elements of prompt engineering that govern conversations with AI, along with advanced techniques like Chain-of-Thought (CoT) and few-shot prompting through hands-on practice.

I recommend this for people like this

Someone who feels overwhelmed and doesn't know which one to learn among the countless AI tools like ChatGPT, Gemini, Midjourney, etc., and feels limited in deeply understanding AI with just individual tool usage methods

Beyond simply asking questions to chatbots, utilizing AI for work automation and service expansion, but technical terms like prompts, fine-tuning, and RAG are not clearly understood by current developers or planners

Those who are curious about the future of AI technology and want to prepare for future technological changes by deeply learning about the latest technology trends such as AI agents and on-device AI, rather than simply following trends, and who want to prepare for future technological changes


After taking the course

  • Understanding the precise definition of generative AI, you can gain insight into the historical flow including the background of the emergence of Transformers and LLMs.

  • You can explain the fundamental operating principles of how AI creates creative outputs, including large-scale data learning, generative models vs. discriminative models, and foundation models.

  • You can understand the differences and core technologies (such as diffusion models) of various multimodal AI technologies including GPT, DALL-E, Sora, and select the appropriate tools for different situations.

  • Prompt engineering's advanced techniques can be utilized to give clear instructions to AI and induce expert-level results.

  • Using RAG to reduce AI hallucination, and understanding fine-tuning and optimization techniques, you can plan and design AI services tailored to specific purposes.

  • You can proactively respond to future technological changes by analyzing the potential of AI agents and latest trends like on-device AI.


You'll learn this kind of content.

This video lecture is developed based on NotebookLM utilization and optimized prompts, providing two powerful visual learning experiences that allow anyone to easily and logically understand the principles of complex generative AI.

Understanding Various Cases Through Illustrations

We provide complex and difficult AI concepts through intuitive image visualization. Abstract principles and technical structures that were hard to understand through text alone can now be grasped at a glance, maximizing learning immersion and comprehension speed. We help you grasp the core concepts directly without boredom.


Step-by-step Understanding of COT Reasoning Process

Rather than simple memorization, you can understand by following the logical flow of 'why it works that way'. For example, you can systematically learn the attention process of transformers or the noise removal principles of diffusion models to solidify your knowledge.

Recommended for
these people

Who is this course right for?

  • IT/Service Planners + Those who want to clearly understand how generative AI works and its technical limitations before designing AI services

  • Research developers or graduate students in AI/data fields + Those who want to gain deep insights into the conceptual and theoretical background of LLM fundamentals (transformers) and key optimization techniques like fine-tuning and RAG

  • Leaders and managers interested in future technology trends + Those who want to systematically learn about the latest trends such as AI ethics and AI agents, and the direction of future changes to reflect them in their organization's strategic planning

Hello
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안녕하세요! 여러분의 AI 성장 파트너, AI 튜터랩입니다. 🤖

하루가 다르게 쏟아지는 AI 기술의 홍수 속에서 길을 잃은 기분이 드시나요? 🧭
걱정 마세요! AI 튜터랩이 여러분이 AI 시대의 흐름을 놓치지 않고, 오히려 주도해 나갈 수 있도록 든든한 가이드가 되어드릴게요.

 

💡AI 튜터랩은 무엇을 제공하나요?

  • 📚무료 강의: AI 시대를 살아가는 모두를 위한 필수 기초 지식을 아낌없이 나눠드립니다.

  • 🚀심화 유료 강의: 기초를 넘어, AI를 '제대로' 활용하고 싶은 분들을 위한 깊이 있고 체계적인 전문 지식을 제공합니다.

💬질문은 언제나 환영합니다!
궁금한 점은 언제든 이메일로 보내주세요.
(물론, 좋은 질문을 생성형 AI에게 직접 던져보는 것도 최고의 학습법 중 하나랍니다! 😉)

 

👨‍💻이력 요약

  • 💻 (전) 소프트웨어 개발 경력 (3년)

  • 🏢 (전) 미국 빅테크(FAANG) 엔지니어 3년 경력

  • (현) AI 튜터랩 채널 운영 · AI 전문 서적 작가 활동


🔗더 많은 AI 이야기와 만나보세요!

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51 lectures ∙ (2hr 3min)

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