AI Python for Beginners Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This beginner-friendly course introduces Python programming and foundational AI concepts through hands-on practice and an AI-powered notebook assistant. Designed for learners with no prior coding experience, the course spans approximately 10 hours of engaging content across four core modules. You'll start by learning Python basics in Jupyter notebooks, then progress to data manipulation, introductory AI tasks like text and image generation, and finish with practical mini-projects that combine coding and prompt engineering. Each module includes interactive exercises and real-time feedback from an AI tutor, ensuring a supportive and effective learning experience.
Module 1: Python Fundamentals & Jupyter Basics
Estimated time: 2 hours
- Installing Python and setting up the environment
- Navigating Jupyter notebooks
- Understanding basic Python syntax and variables
- Using control flow: conditionals and loops
Module 2: Data Structures & File I/O
Estimated time: 2 hours
- Working with lists and dictionaries
- Manipulating strings and data types
- Reading text files in Python
- Writing and parsing CSV files
Module 3: Introductory AI Tasks
Estimated time: 3 hours
- Generating text using a large language model (LLM)
- Basics of prompt crafting and engineering
- Demonstrating simple image generation
- Integrating AI APIs in Jupyter notebooks
Module 4: Mini AI Projects
Estimated time: 3 hours
- Planning and structuring small AI projects
- Combining Python code with prompt-based AI
- Building a text summarizer, keyword extractor, and rule-based recommender
Prerequisites
- No prior programming experience required
- Basic computer literacy
- Access to a web browser and internet connection
What You'll Be Able to Do After
- Write and run Python code from scratch
- Navigate and use Jupyter notebooks effectively
- Manipulate data using core Python data structures
- Apply prompt engineering to guide AI tools
- Complete practical AI mini-projects with real-world relevance