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Basic / Python, AI, AI Agent, claude, Vibe Coding

Are you just telling Claude Code, “Build it for me”? It works well at first. But as the project grows, the AI modifies the wrong files, forgets the rules, and repeats the same mistakes. In this course, you’ll learn how to leverage **the latest Claude Code** to delegate coding while still keeping the developer in control of **design, permissions, context, and verification**. **Design → Plan → Implement → Test → GitHub PR** Based on the developer’s judgment and review, AI-powered development automation is applied throughout this entire process.

Basic

Python, AI, AI Agent

2026 Claude Code in Practice: Automating AI Development from Design to Implementation, Testing, and PRs

YoungJea Oh

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Basic / Python, AI, AI Agent, claude, Vibe Coding

Building Autonomous AI Agents in Practice - Including Web UI using OpenAI Agents SDK, MCP, and LangChain Deep Agents

YoungJea Oh

Intermediate / Python, openAI API, AI Agent, Model Context Protocol, LangChain, LLM, Flask

Beyond a chatbot that simply generates answers, you will directly implement an autonomous AI Agent that makes its own judgments, calls tools, and performs multi-step tasks. You will learn through step-by-step practice, covering everything from OpenAI Agents SDK's Tool Calling, Handoff, Guardrail, Session, and Tracing to connecting external tools and databases using MCP, as well as LangChain and Deep Agents' Planning, Subagents, Filesystem, and Memory. The ultimate goal is to equip you with the ability to design and implement tool-integrated AI Agents that can be applied to real-world tasks.

Intermediate

Python, openAI API, AI Agent

Building Autonomous AI Agents in Practice - Including Web UI using OpenAI Agents SDK, MCP, and LangChain Deep Agents

YoungJea Oh

Intermediate / Python, openAI API, AI Agent, Model Context Protocol, LangChain, LLM, Flask

Introduction to Machine Learning and Deep Learning Using Python

YoungJea Oh

Beginner / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib, Anaconda, Tensorflow, Keras, CNN

4.9

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Do you want to take your first step into the world of data? Learn machine learning and deep learning, the core technologies of AI, with Python. This course will guide you step by step, from the basics of machine learning and deep learning to practical applications. Traditional machine learning and deep learning are based on many of the same principles and technical systems. Therefore, this course does not separate the two into separate subjects, but rather organizes them into one connected course so that beginners can increase their understanding of machine learning as a whole.

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Machine Learning(ML), Deep Learning(DL), Python

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Beginner / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib, Anaconda, Tensorflow, Keras, CNN

4.9

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From Introduction to Reinforcement Learning to Deep Q-learning/Policy Gradient

YoungJea Oh

Intermediate / Python, Deep Learning(DL), Reinforcement Learning(RL), PyTorch

4.7

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Recently, all the remarkable achievements in the field of artificial intelligence are being announced in the area of reinforcement learning. This covers reinforcement learning technology—which is bringing about true innovation in AI such as robotics, autonomous driving, and humanoid machines—from basic to advanced levels in an easy-to-understand way for beginners.

Intermediate

Python, Deep Learning(DL), Reinforcement Learning(RL)

From Introduction to Reinforcement Learning to Deep Q-learning/Policy Gradient

YoungJea Oh

Intermediate / Python, Deep Learning(DL), Reinforcement Learning(RL), PyTorch

4.7

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YoungJea Oh

Basic / Deep Learning(DL), Artificial Neural Network, PyTorch, Anaconda, CNN

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Deep Learning(DL), Artificial Neural Network, PyTorch

[Pytorch] Building Deep Learning Models Using PyTorch

YoungJea Oh

Basic / Deep Learning(DL), Artificial Neural Network, PyTorch, Anaconda, CNN

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Practical LangChain Agent: AI Agent Workflows and Service Building for Intermediates

YoungJea Oh

Intermediate / Python, AI, AI Agent

4.8

(4)

If you only know LangChain, it's just a chatbot; but if you know LangGraph and Multi-Agent patterns, it becomes a service. An active AI instructor will share the know-how to build operational AI Agent workflows from start to finish—going beyond simple prompt calls to handling tools, maintaining memory, and incorporating human-in-the-loop verification—using 17 practice notebooks and 4 multi-agent patterns (Subagents, Handoffs, Router, and Skills).

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Python, AI, AI Agent

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Intermediate / Python, AI, AI Agent

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Intermediate / Deep Learning(DL), NLP, AI, LLM

4.9

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Basic / AI, ChatGPT, prompt engineering, LLM

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Basic / AI, ChatGPT, prompt engineering, LLM

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Beginner / Python, Pandas, Anaconda, Flask

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Are you new to coding or looking to take your coding skills to the next level? This course will introduce you to Python, a powerful and flexible language, designed for all levels of learners. Taught in a “follow-along” fashion, this course will allow you to learn by actually writing and running code. You’ll discover why Python is one of the most popular programming languages. From artificial intelligence to web development, learning the Python language offers endless possibilities, and it’s an opportunity to greatly expand your personal potential.

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Follow along unconditionally from basic to advanced Python coding

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Beginner / Python, Pandas, Anaconda, Flask

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Hands-on! Building Intermediate AI Agent Services with LangChain and LangGraph: From RAG to Multi-Agents

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Basic / AI, ChatGPT, prompt engineering, LangChain, AI Agent

4.7

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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.

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Basic / AI, ChatGPT, prompt engineering, LangChain, AI Agent

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4.5

(10)

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Python, Machine Learning(ML), Deep Learning(DL)

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Intermediate / Python, Machine Learning(ML), Deep Learning(DL), Tensorflow, Recommendation System

4.5

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4.7

(21)

Time is constantly flowing, and data is constantly accumulating. In this dynamic world, time series data plays a vital role in every aspect of our lives. From the volatility of financial markets to subtle signals of climate change, time series data captures it all. Now learn how to interpret and leverage this powerful data using the power of Python and deep learning!

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AI, python3, Deep Learning(DL)

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Intermediate / AI, python3, Deep Learning(DL), Financial Engineering, Algorithm, Investment

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Introduction to Machine Learning/Deep Learning and Python Introductory Course for Learning

YoungJea Oh

Beginner / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib

4.8

(44)

600+

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Introduction to Machine Learning/Deep Learning and Python Introductory Course for Learning

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OpenAI API Practical Mastery: Designing and Deploying High-Performance AI Services for Intermediates

YoungJea Oh

Basic / Python, NLP, AI, ChatGPT, openAI API

4.5

(13)

Are you feeling stuck on how to apply what you've learned to real-world tasks even after mastering the basics? I will help you complete complex RAG and agent designs using my professional industry know-how.

Basic

Python, NLP, AI

OpenAI API Practical Mastery: Designing and Deploying High-Performance AI Services for Intermediates

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Basic / Python, NLP, AI, ChatGPT, openAI API

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(13)

Understanding the latest big data and artificial intelligence trends

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Beginner / Big Data, AI

4.7

(28)

Find your way through the sea of data and explore the future of artificial intelligence. This course explores the two massive technological trends of Big Data and Artificial Intelligence (AI), examining how they are bringing innovation to our lives and work.

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Intermediate / Python, openai, multimodal, AI, transformer

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(106)

Understand the operating principles of generative AI models using deep learning and acquire practical application skills through hands-on exercises.

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Understanding the Fundamentals and Operating Principles of Generative AI

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Practical Financial Machine Learning: Building Intermediate Investment Strategies with Python

YoungJea Oh

Basic / Python, Machine Learning(ML)

4.5

(24)

Basic knowledge is not enough for real-world investing; build your own profit model using the machine learning know-how of a 10-year veteran quant.

Basic

Python, Machine Learning(ML)

Practical Financial Machine Learning: Building Intermediate Investment Strategies with Python

YoungJea Oh

Basic / Python, Machine Learning(ML)

4.5

(24)

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