Introduction to Artificial Intelligence with Python

(4 customer reviews)

71,327.32

Description

This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, machine learning, large language models, and other topics in artificial intelligence as they incorporate them into their own Python programs. By the course’s end, students will emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that will enable them to design intelligent systems of their own.

What you'll learn

  • graph search algorithms
  • adversarial search
  • knowledge representation
  • logical inference
  • probability theory
  • Bayesian networks
  • Markov models
  • constraint satisfaction
  • machine learning
  • reinforcement learning
  • neural networks
  • natural language processing

Modules

  1. Introduction to AI
    • What is AI?
    • History and evolution of AI
    • Applications of AI in various industries
  2. Python Basics for AI
    • Python installation and setup
    • Basic syntax and data types
    • Functions and control flow
    • Libraries relevant to AI (NumPy, pandas, etc.)
  3. Data Handling and Preprocessing
    • Data collection and data types
    • Data cleaning and preprocessing techniques
    • Using pandas for data manipulation
  4. Machine Learning Fundamentals
    • Introduction to machine learning vs. traditional programming
    • Supervised vs. unsupervised learning
    • Key algorithms (linear regression, decision trees, clustering)
  5. Deep Learning Basics
    • Introduction to neural networks
    • How deep learning differs from conventional machine learning
    • Overview of frameworks (TensorFlow, Keras)
  6. Natural Language Processing (NLP)
    • Basics of NLP and its applications
    • Text preprocessing and vectorization
    • Sentiment analysis project
  7. Computer Vision
    • Introduction to computer vision and image processing
    • Convolutional Neural Networks (CNNs)
    • Image classification project
  8. Ethics in AI
    • Understanding bias and fairness in AI
    • Ethical implications of AI technologies
    • Responsible AI development
  9. Capstone Project
    • Hands-on project applying learned skills
    • Options for projects: building a chatbot, image classifier, etc.
    • Presentation of projects

4 reviews for Introduction to Artificial Intelligence with Python

  1. Yemisi

    “Outstanding course! I was amazed by the depth and clarity of the content. The hands-on Python exercises reinforced my understanding, and the instructor’s engaging style made learning AI a breeze. The course gave me a solid foundation in the fundamentals, inspiring me to pursue advanced AI concepts. Highly recommended for anyone looking to embark on an AI journey.”

  2. Adeyemi

    “This course was an excellent introduction to AI using Python. The instructor presented the concepts clearly and provided engaging examples that helped me grasp the fundamentals. The assignments and projects allowed me to apply my knowledge and solidify my understanding. I highly recommend this course to anyone looking to gain a solid foundation in AI.”

  3. Funmilayo

    “This course was an excellent introduction to the world of AI and Python. The materials were well-organized and easy to follow. The concepts were explained in a clear and concise manner. The assessments were challenging and helped me test my understanding. It has given me a solid foundation in AI and Python, which I know I’ll be able to apply in my future endeavors.”

  4. Hawau

    “This course was an exceptional introduction to the world of AI and Python. The instructors were knowledgeable and approachable, guiding us through complex concepts with clarity. The hands-on projects reinforced our learning, equipping us with practical skills in AI algorithms and Python programming. The course exceeded my expectations, igniting a passion for AI and providing me with a solid foundation to pursue further exploration in this field.”

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