4-HOUR AI Agent Development with Python and Claude Video Bundle
Build intelligent agents powered by Claude's advanced capabilities using Python in 4 focused hours. • Claude Integration – Connect to Anthropic's powerful AI model • Agent Architecture – Design agents that can reason and act • Practical Examples – Build agents for real-world scenarios Create AI agents that actually understand and solve complex problems.
This course includes.
Curriculum & lectures.
+ Welcome 4 lectures Preview
+ Build a simple research AI agent 4 lectures
+ Edit Files with LLM Tool Use Python AI Agent 5 lectures
+ Build AI Agents with Claude Computer Use 5 lectures
+ Python Business Productivity Agent Development 8 lectures
+ Build a Finance Agent with LLM Tool Use in Python 6 lectures
+ Generate financial forecasts with Anthropic Tools Python Agent 4 lectures
+ Fundamental Agent Monetization Course 5 lectures
About this course.
Ever wanted your own software to do the thinking, editing, or even run your computer? This course hands you the tools.
Learn how to create small, focused systems that can:
Take a question, research it, and remember what it learned
Read files, rewrite them, and save updated versions
Interact with your computer via text input—yes, really
You’ll use Python, set up real-world agent workflows, and launch experiments that blur the line between user and assistant.
You’ll build:
A research agent with short- and long-term memory
A file-editing assistant that can reason through context
A desktop command agent with serious access
🛠️ All code included. Get lifetime access today!
Taught by people who ship.
Team Mammoth
Produced by a team of Mammoth Club industry experts. Over 14 years, Mammoth Club has built a global student community in 190+ countries with 9+ million courses sold, releasing over 1,000+ courses and 5,000+ hours of video content.
Ready to start building?
Build intelligent agents powered by Claude's advanced capabilities using Python in 4 focused hours. • Claude Integration – Connect to Anthropic's powerful AI model • Agent Architecture – Design agents that can reason and act • Practical Examples – Build agents for real-world scenarios Create AI agents that actually understand and solve complex problems.