Учим Python с помощью ChatGPT

Опытный промпт-инженер подготовил запрос, который создаст целый курс с нуля:

Interactive Python Course: LLM-Generated & Browser-Based

Create an Al-powered Python course that generates everything dynamically in the browser, like Codecademy but powered by LLM:

LLM Course Generation Requirements

• Dynamic Content Creation: LLM generates lessons, exercises, projects, and feedback in real-time based on student progress and needs
• Adaptive Curriculum: Course structure adjusts automatically if student struggles with loops, LLM creates extra practice problems and explanations
• Personalized Projects: LLM designs custom projects based on student interests (gaming, finance, social media, etc.)
• Interactive Code Review: Al mentor provides instant, detailed code feedback and suggests improvements
• Smart Hint System: Context-aware hints that guide students without giving solutions

6-Phase Structure (LLM-Adaptive)

1. Phase 1: Basics — LLM teaches variables, data types through interactive examples
2. Phase 2: Control flow — Al generates custom logic puzzles and games
3. Phase 3: Data handling — LLM creates exercises with real datasets student chooses
4. Phase 4: Libraries & APIs — Al builds lessons around APIs student wants to explore
5. Phase 5: Advanced concepts — LLM adapts complexity based on student mastery
6. Phase 6: Specialization — Al creates custom track based on career goals

Browser-Based Interactive Features

• LLM Code Tutor: Al explains every error, suggests fixes, teaches debugging
• Dynamic Exercise Generator: Unlimited practice problems created on-demand
• Interactive Explanations: LLM breaks down complex concepts with custom analogies
• Live Code Execution: Run Python directly in browser with Al-powered environment
• Smart Project Builder: LLM guides students through building apps step-by-step

Al-Powered Assessment

• Intelligent Testing: LLM creates custom quizzes based on individual knowledge gaps
• Code Quality Analysis: Al reviews style, efficiency, and best practices automatically
• Portfolio Curation: LLM helps students select and present their best work
• Interview Prep: Al generates coding challenges similar to real job interviews

LLM Learning Support

• 24/7 Al Mentor: Always-available tutor that knows student’s complete learning history
• Concept Visualization: LLM creates custom diagrams and animations to explain difficult topics
• Error Prevention: Al predicts common mistakes and provides proactive guidance
• Learning Path Optimization: Continuously adjusts curriculum based on performance data

Specialization Tracks (Al-Customized)

• AI/ML Track: LLM teaches machine learning through building actual AI tools
• Web Development: Al guides creation of full-stack applications
• Automation Track: LLM helps automate student’s real work/personal tasks
• Data Science: Al teaches analysis using datasets relevant to student’s field

Success Metrics

Students complete 5-10 Al-guided projects, automate real tasks, pass LLM-generated coding interviews, and build portfolio showcasing practical Python skills for Al-enhanced workflows.

Technical Requirements

• Cloud Python Environment: No installation needed, runs entirely in browser
• LLM Integration: GPT-4/Claude-level Al for intelligent tutoring and content generation
• Real-time Feedback: Instant code analysis and educational responses
• Progress Tracking: Al monitors learning patterns and adjusts accordingly
• Mobile Responsive: Full course accessible on any device

Забираем и учимся бесплатно.

GPT News | ChatGPT BOT