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Category: AI
Build in-demand AI skills with practical courses in Artificial Intelligence, machine learning, data, and automation.
Maven – AI Problem Framing for Agentic AI
AI Problem Framing is to AI teams what System Design is to software engineers and Product Sense is to PMs. Whether you’re building, evaluating, or leading AI work, this is the foundational thinking skill that separates results from rework.
Claude Code for DevOps
Go beyond basic AI. This course shows you how to use Claude Code in real DevOps and SysAdmin engineering environments, secure it on a VPS, automate practical workflows, ship a live portfolio site from scratch, and more.
The AI for Ethical Hacking and Cybersecurity Bootcamp
Learn to use AI for real cybersecurity work, both offensive and defensive. You’ll build practical tools, improve ethical hacking workflows, explore AI threats and defenses, and use Python, ChatGPT, LangChain and the OpenAI API in hands-on security scenarios.
The Complete Claude AI Course: From Chat to Cowork
Master Claude Chat, Deep Research, Artifacts, Connectors, Skills , Plugins, Scheduled Tasks and No-Code AI Workflows
Telecom AI: Neural Networks for Wireless Transceivers
Explore AI-based modulation and demodulation techniques for wireless communication systems
Claude Code for Business – Build with Agentic AI Systems
Use the power of Claude Code to build truly useful AI systems, websites and specific tools for your business
Claude Code: AI Crash Course for Developers
Master AI-powered development with Claude Code—from setup to advanced workflows, automation, etc
AI Prompt Engineering for Bioinformatics
Master the art of communicating with AI for scientific research
Agentic AI & Prompt Engineering Bootcamp: Build AI Employees
Master RAG, Prompt Engineering, Automation, Safety, Debugging & Production AI Systems with Hands-On Projects
Generative AI with Large Language Models
This is an intermediate course, so you should have some experience coding in Python to get the most out of it. You should also be familiar with the basics of machine learning, such as supervised and unsupervised learning, loss functions, and splitting data into training, validation, and test sets.
OpenClaw AI Agents: Build Autonomous AI Employees in 7 days
Deploy a real AI employee in 7 days — local setup, tools, memory, automation, and VPS deployment theory & fully hands on
Master Qwen_Image Edit
designed for architects, designers, and archviz professionals. Learn powerful techniques for sketch-to-render, relighting, people integration, furniture placement, and multi-camera scene generation and more.
















