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Python for Artificial Intelligence

Designed for aspiring professionals aiming to build strong foundations in AI programming, integrates Python basics, data handling, and visualization with essential libraries and tools to equip participants with practical coding skills for real-world artificial intelligence applications.

 

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    What to Expect From This Python for Artificial Intelligence Course?

    By the end, participants will be able to:

    • Understand Python fundamentals, including variables, loops, and functions.
    • Work effectively with different data types and structures.
    • Utilize key libraries such as NumPy and Pandas for data handling.
    • Perform data cleaning and manipulation tasks.
    • Create basic data visualizations using Matplotlib.
    • Navigate the Linux command line and use essential programming tools.

    Who Should Enroll in this Python for Artificial Intelligence Course?

    • Beginners and professionals seeking to start coding with Python for AI.
    • Data enthusiasts aiming to process and analyze datasets effectively.
    • Developers and engineers looking to integrate Python into AI workflows.
    • Students and researchers exploring data science and artificial intelligence.
    • Anyone interested in building strong foundations in AI programming.

    What are the acquired skills from this Python for Artificial Intelligence Course?

    • Writing and structuring Python code effectively.
    • Handling variables, loops, and functions with confidence.
    • Managing and transforming data with NumPy and Pandas.
    • Cleaning and preparing datasets for analysis.
    • Visualizing information with Matplotlib.
    • Navigating Linux command line and essential programming tools.

    Python for Artificial Intelligence Self-Study

    Course 

    • Reading Learning Materials. 
    • Pre and Post Course Questions.  
    • Modules Exercises. 
    • The language will be English. 
    • Module 1: Python Fundamentals (Variables, Loops, Functions) 
    • Module 2: Data Types & Structures. 
    • Module 3: Working with Libraries: NumPy, Pandas. 
    • Module 4: Data Cleaning & Manipulation. 
    • Module 5: Basic Data Visualization with Matplotlib. 
    • Module 6: Introduction to Linux Command Line & Programming Tools. 

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