Towards AI-Supported Python Programmer

Course overview

Objective "Towards AI-Supported Python Programmer" provides an introduction to Python development with AI support and demonstrates how Python programmers can productively integrate AI assistants into their development routine. This training is aimed at beginners and experienced Python programmers who want to enhance their development speed and code quality through AI tools. The course covers all relevant areas of AI-supported Python development - from prompt engineering to scripting and AI applications with LangChain. Content (Selection) Python Programmers & AI: Basics & Introduction to the AI Stack Prompt Engineering for Python Programmers: Precisely Controlling AI Accelerating Python Development with GitHub Copilot & Cursor Scripting & Automation as an AI-Supported Python Programmer Rapid Prototyping & MVP Development with Python and AI LangChain & LLM Integration for Python Programmers Testing, Debugging & Refactoring with AI Support Agentic AI for Python Programmers: Developing Autonomous Workflows Deployment & Monitoring of AI-Supported Python Code Career Coaching: Positioning as an AI-Supported Python Programmer Methodology This training is implementation-oriented: All content is applied in Python projects with AI assistants. The training is designed as a seminar, guided by experienced trainers from the tech industry. Competencies (Outcome) Independently conduct Python development with AI assistants Apply prompt engineering for Python development tasks Implement LangChain & LLM integration as a Python programmer Develop agentic AI workflows in Python Position oneself as an AI-supported Python programmer Career Perspectives and Practical Application Python programmers with AI skills are highly prevalent in data science, backend development, automation, and AI engineering. Graduates significantly develop Python applications with AI assistants. Tools (Examples) Cursor, GitHub Copilot, ChatGPT, Claude, Python, LangChain, FastAPI, Docker Summary This course guides Python programmers on the path to AI-supported development. It shows how AI tools accelerate Python development and how LangChain integration opens up new possibilities.

Upcoming dates

• 2026-10-27T23:00:00.000Z · 2027-01-18T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-10-27T23:00:00.000Z · 2027-04-12T22:00:00.000Z · Virtuelles Klassenzimmer
• 2026-10-27T23:00:00.000Z · 2027-01-18T23:00:00.000Z · Köln · Hybrid Learning
• 2026-10-27T23:00:00.000Z · 2027-04-12T22:00:00.000Z · Köln · Hybrid Learning
• 2027-01-17T23:00:00.000Z · 2027-04-10T22:00:00.000Z · Virtuelles Klassenzimmer