Why take this course
Enhance your practical programming skills and learn how to write, optimize, and debug Python code faster with the support of AI. You’ll explore how AI tools can accelerate project development and help you build more efficient and scalable solutions.
What you’ll learn
- Write clean and efficient Python code
- Use AI to accelerate programming and debugging
- Apply Python libraries and AI tools in practice
- Build a complete project for your portfolio
Certificate & Exam
Upon completion, you will receive a personalized certificate confirming your skills in intermediate-level Python programming and practical use of AI in projects. There is no final exam – active participation in the sessions is sufficient.
Who is this course for
- Programmers with basic Python knowledge who want to deepen their skills
- Developers looking to use AI for code optimization and automation
- Testers and data analysts applying Python and AI to data analysis and real projects
- Individuals eager to strengthen their understanding of algorithms, Python libraries, and data processing
Training schedule
Day 1: Error Handling and File Operations
Goal: Learn error handling and file operations in Python.
- Hours 1–2: Error handling
- Exceptions: try, except, finally
- Custom exceptions and their use cases
- Debugging with AI: finding and fixing errors
- Hours 3–4: File operations
- Reading and writing text files
- Working with CSV and JSON files
- Using AI to generate file-handling code
- Hours 5–6: Standard libraries
- Key modules: math, random, datetime
- Exercise: Build small programs using libraries
- Mini project:
- Create a program analyzing CSV data (e.g., sales report)
- Use AI to optimize data parsing
Day 2: Python Libraries and AI Integration
Goal: Explore core Python libraries and their integration with AI.
- Hours 1–2: External libraries
- Introduction to NumPy and Pandas
- Installation and basic data operations
- Handling missing data
- Generating Pandas code with AI
- Hours 3–4: Data visualization with Seaborn
- Introduction to Seaborn
- Short visualization project built with AI assistance
- Hours 5–6: Algorithms basics
- Sorting algorithms (bubble sort, quicksort)
- Searching: linear and binary
Day 3: Algorithms and Code Optimization
Goal: Learn fundamental algorithms and optimize code with AI.
- Hours 1–2: Predictive processes with Scikit-learn
- Transformers and estimators as core building blocks
- Machine learning pipelines and branching workflows
- Object-oriented implementation of predictive components
- Pipeline configuration optimization
- Hours 3–4: Code optimization
- Analyzing computational complexity (Big O)
- Refactoring code with AI support
- Exercise: Improve the efficiency of a simple algorithm
- Hours 5–6: Practical project
- Implement sorting and searching algorithms
- Testing and optimization with AI
- Project work:
- Analyze a small dataset (e.g., weather data) with Pandas
- Use AI to generate data visualizations
Day 4: AI in Practice
Goal: Apply AI to larger projects and advanced algorithms.
- Hours 1–2: AI in code generation
- Build more complex scripts with AI
- Examples: generating REST APIs, automation scripts
- Hours 3–6: Advanced algorithms II – Neural networks
- Neuron mechanics and activation functions
- Multilayer perceptron
- Neural network training process
- Configuration and optimization
- Using neural networks for predictive tasks
Prerequisites
This course is intended for participants with basic Python knowledge, as well as intermediate programmers who want to expand their skills and learn how to leverage AI in programming.
If you’re not ready yet, you can join our AI-Assisted Python Programming – Beginner Level course, held the weekend before this training, to prepare for the intermediate level: AI-Assisted Python Programming – basic level [EN] – Sii Poland
Hardware requirements:
- Computer with internet access
- Installed Python 3.9+ and VS Code with AI plugins (e.g., GitHub Copilot)
- Account on an AI platform (e.g., ChatGPT, Grok)
Additional Information
Before starting this course, you can strengthen your knowledge by attending the AI-Assisted Python Programming – Beginner Level, scheduled the week immediately before the intermediate course. This ensures your newly acquired skills stay fresh and immediately applicable.
👉 Sign up for the full training package (Beginner + Intermediate) and get a special discount. It’s the best way to quickly build a solid foundation and advance your Python and AI skills.
