From Random Forest to LangChain Knowledge Retrieval Systems: Practical Applications of Data Analysis and LLMs

Simple tutorials alone make it difficult to apply in practice. I will clearly pass on my professional know-how, covering complex state management and multi-agent design methods.

This hands-on course teaches you how to use AI to analyze sales and inventory data and create evidence-based ordering plans. You’ll learn how to clearly communicate your objectives, constraints, and desired outputs to AI, then apply those skills to sales analysis, demand forecasting, and multi-item order optimization. Using the provided training data, prompts, and code, you’ll verify calculation results and test the basis for your decisions by changing the conditions. By the end, you’ll complete an ordering plan for 30 products and a one-page decision-making report, which you can use for job preparation and to expand your practical skills.

From PC control to high-level research and app development A guide to building your own 'AI Work Assistant' ready for immediate real-world deployment

1. Python coding study to obtain the AI certification, AICE Associate 2. Step-by-step Python coding study from basics to applications 3. Lectures by Professor Joongheon Kim of Korea University, a scholar in the field of AI

For office workers who feel overwhelmed about what to entrust to AI and how, we transform repetitive tasks into step-by-step workflows based on practical experience.

Have you introduced AI but still find yourself losing time to repetitive tasks? The problem isn't the AI; it's the 'system.' This course guides you through the process of building a team of six AI assistants—including an executive assistant, content assistant, marketing assistant, CRM assistant, and personal productivity assistant—all using Notion AI. Based on my experience automating hundreds of repetitive tasks in real-world business settings, we will build actual workflows from start to finish, covering everything from organizing notes and automatically generating meeting minutes to blog writing, CRM construction, and automated KakaoTalk notifications. After completing this course, you will have a system where your own AI assistant team works automatically, powered solely by a Notion Business plan.

AI Finally Gets a Body - What is My Survival Strategy in the Age of Robots? Physical AI is not just about robots. It is an overthrow of the economic paradigm created by the grand convergence of artificial intelligence, robotics, and energy technology. This course explores various perspectives, from the background of Physical AI's emergence to the strategies of global big tech, hardware sovereignty, and future social issues such as robot taxes, basic income, and global inequality.

Learn deep learning through PyTorch. Ultimately, the course covers image classification.

In the era of AI and Big Data, are you utilizing your organization's data effectively? This course builds essential capabilities for reading and interpreting data, covering everything from the foundations of statistical thinking to the core principles of machine learning and deep learning. Grow into a practical leader capable of discovering patterns amidst volatility and making data-driven decisions.

From the solid foundational theories of contract law to practical drafting guides and advanced review techniques using generative AI, this course covers it all in one place. Beyond simply learning how to use AI, it helps you become a 'smart contract expert' capable of independently identifying and managing legal risks.

"Are you still studying with coding books?" A course, rated 5.0/5.0 by MBA and business undergrads at a London management university. You can take AI data analysis lectures from home. Even for humanities-background non-majors: practical data analysis skills immediately usable in the field, plus a data analysis portfolio for job search completion. I am a British Professor (British Professor) teaching data analysis and project classes with ChatGPT, no coding knowledge required.

Non-Majors Welcome: Real-World Vibe Coding Projects Created Through Conversations with AI

We transform distribution reports that merely list numbers into a single page that supports decision-making. Drawing on 24 years of experience in distribution operations and headquarters, we use Excel and AI to analyze changes in sales and contribution margin and examine hypotheses about their causes. By calculating simulated distribution data ourselves, we complete performance reports containing key conclusions, execution conditions, and approval requests.

I’ll show you, through an actual work session building a to-do page from scratch, the process of requesting, checking, and revising that I refined after using more than 58.3 billion tokens with Codex. You’ll learn how to ask for the results you want without knowing all the code and how to directly verify the changes.

This is a practical course that uses Codex to connect business planning, website creation, marketing materials, task organization, and email automation. Even if you are not a developer, you will learn how to delegate tasks to AI and refine the results using Notion, Linear, Figma, and Google Workspace in an actual workflow sequence.

From the basics of AI video to completing a short film all at once?! All-in-one video production connecting principles, theory, and practice.

Have you wanted to implement RAG but felt overwhelmed by connecting everything from embeddings to vector storage and search? Based on real-world service development experience, this course explains the core concepts of pgvector and the service source code. By calling the API directly, you can quickly understand the entire flow of how RAG vector search works.

Is the practical exam daunting because you’re new to Python? An instructor with over 10 years of experience teaching data analysis will guide you step by step, starting with a single variable and progressing through Type 1 preprocessing, Type 2 modeling and result.csv submission, and Type 3 statistical testing. Each video comes with a fill-in-the-blank notebook, allowing you to follow along hands-on in a practice environment that most closely resembles the actual test site. This makes it learning that stays with you, rather than studying that ends when you finish watching. Use the self-assessment to choose your track (complete beginner: 6 weeks · experienced learner: 3 weeks · two weeks before the exam) and take only the lessons you need.

Even without knowing a single line of code, deploy the idea you came up with today as a working web service today. A hands-on course that takes you through planning, design, functionality, data, and deployment all at once with Google Antigravity.

Sensational video content created with just a single line of text! A quick and easy introduction to SNS content creation starting with Kling AI