
This course includes our updated coding exercises so you can practice your skills as you learn.
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Explore Python basics in Google Colab, write your first Hello World program with print and f-strings, and learn variables, data types, tuples, lists, and dictionaries.
download the required data files from attachments, unzip on desktop, and upload the skillet courses folder to Google Drive so you can import and use those files in your program.
Learn to build a handwritten digit classification model using the mnist 784 dataset and logistic regression in sklearn, working with 28 by 28 pixel images and 784 features.
Train a logistic regression model to classify handwritten digits using 28 by 28 images, tune tolerance and max iterations, and predict digits from test data.
Learn to build a content-based movie recommendation system using cosine similarity and the count vectorizer to suggest movies similar by keywords, cast, genre, and director.
Leverage Google's pre-trained mobilenet v2 as a frozen base, add global average pooling and a three-class dense head to recognize rock, paper, or scissors, then integrate it into the game.
Unlock the world of Artificial Intelligence with this comprehensive beginner's course, designed to teach you Python programming and AI fundamentals through engaging, real-world projects. Start your AI journey with zero prior programming experience, and gain a strong understanding of the core concepts of AI and Machine Learning, including Regression, Classification, Clustering, and Neural Networks.
In 'Artificial Intelligence for Beginners: Python & AI Basics,' we take you from scratch to mastering AI principles and Python programming, ensuring a solid foundation for your AI and programming journey. With our expert guidance and practical approach, you'll quickly build your skills and confidence in applying AI to solve real-life problems.
By the end of this course, you will:
Acquire a strong understanding of Artificial Intelligence fundamentals and their real-world applications.
Become proficient in Python programming, even if you're a complete beginner.
Learn and implement essential AI algorithms such as Regression, Classification, Clustering, and Neural Networks.
Develop and deploy Python-based AI models for various tasks and challenges.
Design an interactive game that leverages AI principles using Python.
Join us on this exciting journey to explore the fascinating world of AI, and empower yourself with the knowledge and skills to navigate the future of technology. Whether you're an aspiring AI professional or simply curious about this transformative field, our beginner-friendly course is the perfect starting point for your AI adventure.