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Programming Foundations: Artificial Intelligence

This is the repository for the LinkedIn Learning course Programming Foundations: Artificial Intelligence. The full course is available from LinkedIn Learning.

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AI is driving innovation and efficiency in the tech industry. As businesses and organizations seek to leverage AI, there's a high demand for skilled professionals who can understand, develop, and ethically implement AI technologies. In this course, award-winning tech innovator and AI/ML leader Kesha Williams helps developers to upskill and merge their existing programming knowledge with AI competencies. Learn about the concept of artificial intelligence and how it revolutionizes traditional programming methodologies. Explore the tools you need to interpret, evaluate, and harness AI technologies effectively. Through Python code examples, get an introduction to the fundamental pillars of AI, including machine learning, neural networks, and computer vision, while addressing ethical considerations for responsible development. By the end of the course, you will be ready to tackle the technological challenges of today and tomorrow with confidence and creativity.

Learning objectives
• Upskill existing programming knowledge with AI competencies.
• Interpret and evaluate AI technologies and their applications.
• Gain hands-on experience with building, testing, and debugging AI models.
• Learn practical Python programming skills for developing AI solutions.
• Explore the use of key Python libraries essential for AI development.
• Understand the ethical considerations and best practices in AI development.
• Integrate AI with traditional programming approaches.
• Inspire innovation and creativity in applying AI to solve real-world problems.\

Installing

  1. To use these exercise files, you must have the following installed:
    • Python
    • Jupyter
    • Python Libraries (must be installed before running code): NumPy, Pandas, TensorFlow, Scikit-learn, Matplotlib, OpenCV
  2. Clone this repository into your local machine using the terminal (Mac), CMD (Windows), or a GUI tool like SourceTree.

Instructor

Kesha Williams

Award-Winning Tech Innovator and AI/ML Leader

Check out my other courses on LinkedIn Learning.

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This repo is for the Linkedin Learning course: Programming Foundations: Artificial Intelligence

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