AI-Assisted Python Programming – intermediate level [EN]

Level Intermediate
The number of participants 5-15 people
Duration 4 days

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.

Have questions about this training?

Katarzyna Borowiak Sales and Delivery Operations Specialist

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790 EUR

+ VAT

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