IoT-based Manufacturing Data Analysis and Anomaly Detection Master Class

This is a practice-oriented course for experienced developers with a computer science background transitioning to the latest AI technology stack. From the design to the implementation of LLM-based applications, you will establish AI solution adoption strategies by leveraging existing software engineering knowledge. Rebuild your career by integrating traditional development experience with modern AI technology.

You will learn the concepts of ontology and their practical application methods, focusing on the secondary battery cathode material manufacturing process. You will learn how to transform fragmented process data into meaningful knowledge assets and build AI-based quality prediction and defect root-cause reasoning systems. You will acquire practical ontology engineering capabilities to lead the digital transformation (DX) and artificial intelligence transformation (AX) of manufacturing sites.

This is the process of a tech-based startup CEO, who previously focused only on product development, overcoming their fear of sales and building a repeatable sales system. Through weekly action learning that involves approaching actual potential customers, they establish a value-driven sales mindset and complete a systematic, data-driven sales system.

This course focuses on the strategic application of Design Thinking for startups. It provides an in-depth look at the five-stage process of Design Thinking (Empathize, Define, Ideate, Prototype, and Test)—a human-centered innovation methodology—and teaches how to manage the uncertainties startups face while securing product-market fit. Additionally, the course explores integration strategies with Lean Startup and Agile methodologies and analyzes successful domestic and international startup cases such as Airbnb, Netflix, Toss, and Baedal Minjok. By covering a wide range of topics, including measuring the financial value of Design Thinking (ROI, KPI), strategies for organizational adoption, and the future outlook of Design Thinking combined with Artificial Intelligence (AI), this course helps strengthen practical business innovation capabilities.

This is a systematic introductory stock investment course for beginner investors in their 20s. From basic concepts to actual investment strategies, you will learn everything a young investor needs to know step-by-step. It is designed to help you develop safe and wise investment habits through real-world cases and exercises. We provide practical knowledge that can be applied immediately, such as investment risk management, portfolio construction, and market analysis methods.

This course is a pilgrimage guide that provides a deep historical, theological, and archaeological exploration of the Seven Churches of Revelation located in western Türkiye (Roman Asia). It analyzes the political oppression of Rome and the temptations of pagan culture faced by each church, alongside the specific messages of Christ. Furthermore, it offers an integrated learning experience that facilitates both spiritual reflection and practical travel planning by providing a detailed 7-day recommended itinerary, tips for visiting historical sites, and information on transportation and accommodations for modern travelers.

This course provides an in-depth analysis of the changes in the South Korean government's support policies for startups and SMEs in 2026, offering practical strategies for startup CEOs to maximize their chances of being selected for government projects. With "Deep Tech" and "Global" expansion as core keywords in a rapidly changing policy environment, the course comprehensively covers optimal strategies for support programs at each growth stage—from pre-startup to the leap stage—as well as R&D ecosystem innovation, policy fund utilization, and successful PSST (Problem-Solution-Scaleup-Team) business plan writing tactics. Through this course, startup CEOs can accurately understand the shifted policy directions and establish customized strategies tailored to their business models to seize opportunities for a quantum jump.

The automotive and parts manufacturing industry is a field where innovation is essential amid fierce global competition and complex supply chains. This course focuses on how AI technology can be applied in the field, explaining actual cases including production efficiency improvement, quality inspection automation, equipment predictive maintenance, and supply chain optimization. From the foundational understanding needed for AI implementation to strategies and risk management considerations for field application, this course covers topics step by step, providing knowledge and insights that practitioners and managers can immediately utilize.

This course covers practical strategies for leveraging AI in the machinery and metal processing industry to enhance productivity and quality. It analyzes key process data from CNC, welding, cutting, and other operations, explaining how AI technology is applied to reduce defect rates, enable predictive maintenance, and manage worker safety through real-world case studies. Learners will understand AI-based processing optimization methods that can be immediately implemented in the field, from small and medium enterprises to large corporations, and gain insights to realize manufacturing innovation in global competition.

From Multi-Head Attention to the Original Transformer model, BERT, the Encoder-Decoder based MarianMT translation model, and even Vision Transformer, you'll learn Transformer inside and out by implementing them directly in code.

"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.

This is a replay of our second webinar on how to use the free, no-coding data visualization tool, 'HEARTCOUNT'. Don't spend too much time learning data or learning tools, use that time to find the insights you need from your data for your work.