Courses

Structured lessons and lectures — from fundamentals to hands-on practice.

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AI Learning

Courses on AI — deep learning, LLMs, prompting and agents

Prompt Engineering

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Prompt Engineering & AI Agent Design

Learn the principles and core techniques of prompt engineering, along with AI agent architecture and design principles through live coding demos using open-source tools.

Prompt Engineering AI Agent LLM Open Source

Deep Learning: From Basics to Production

A comprehensive course designed for everyone from beginners to those looking to apply deep learning in production. Learn from neural network fundamentals to practical projects with CNN, RNN, and Transformer.

Deep Learning TensorFlow Python Neural Networks

AI Image Processing

Learn computer vision and deep learning–based image processing from fundamentals to advanced techniques through hands-on projects with tools like OpenCV and PIL.

Image Processing Computer Vision Python OpenCV

Dev Workflow

Git/GitHub collaboration, DevOps, MLOps and open-source contribution

Cover image — Git & GitHub Collaboration

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Collaborative Development with Git & GitHub

Walk through Git/GitHub fundamentals, Git Flow-based collaboration, and how AI code generators combine with the workflow. The instructor demonstrates building a simple timer app end-to-end by combining Claude Code with Git Flow, visualized through Sourcetree.

Git GitHub Git Flow Sourcetree

DevOps in Practice: CI/CD and Infrastructure Automation

Learn the core concepts of DevOps through hands-on examples, from building CI/CD pipelines to deploying applications with Docker and Kubernetes.

DevOps CI/CD Docker Kubernetes
MLOps course main image

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MLOps: Production Machine Learning Pipelines

Automate and manage the full ML lifecycle—data, training, serving, and monitoring—with hands-on MLOps pipelines and tooling.

MLOps Machine Learning MLflow Kubernetes

Fundamentals

Courses that build programming and software fundamentals

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Part 3: GitFlow + AI Development Tool-Based Collaboration Practice

Understand Git not as a simple version control tool but as a mental model for team collaboration, and practice efficient collaboration workflows using AI tools.

Git GitFlow Collaboration Pull Request

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Part 2: TDD and Development Thinking in the AI Era

In an era where AI generates code, understand why relying on autocomplete without testing is dangerous, and develop habits that ensure maximum safety with minimum testing effort.

TDD Testing AI Development Code Quality

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Part 1: Python for the AI Era: Automation, Data, and Model Integration

Understand why Python is the essential language of the AI era, and build practical foundations for workflow automation, data processing, and AI library integration that you can apply immediately.

Python Automation Data Processing AI Integration