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Are you looking to dive into the world of Python and Artificial Intelligence but feel overwhelmed by lengthy courses and complex software installations? Look no further! Udemy’s “Python in 3 Hours! [+ Machine Learning & Deep Learning]” course, taught by the esteemed Dr. Mohammad H. Rafiei, is a game-changer for aspiring data scientists and programmers.

Dr. Rafiei, a researcher and instructor at Johns Hopkins University and Georgia State University, brings a wealth of knowledge and practical experience to this concise yet comprehensive course. What sets this course apart is its unique approach: learning Python and machine learning entirely on free cloud-based platforms like Google Colab. This means no bulky software installations, no need for a high-end computer, and the flexibility to learn from anywhere with just a Gmail account and a Chrome browser.

The course is meticulously designed for beginners, even those with little to no prior programming or machine learning knowledge. In under three hours, you’ll cover the essentials of Python 3+, understand fundamental machine learning concepts and neural networks, and learn to build machine learning models using TensorFlow. The curriculum is broken down into 12 digestible lectures, covering everything from setting up your environment on Google Colab to data processing, visualization with Matplotlib and Seaborn, and implementing regression and classification models with TensorFlow Keras.

Whether you’re a complete Python novice, looking to leverage free cloud computing resources, or a seasoned programmer wanting a quick refresher and an introduction to ML/DL, this course caters to your needs. It’s perfect for those who are short on time but eager to gain practical skills efficiently. Dr. Rafiei’s expertise ensures that even complex topics are explained clearly, allowing you to start applying your knowledge immediately.

If you’re ready to embark on your AI journey without the usual setup hassles, “Python in 3 Hours!” is an excellent starting point. It’s a time-efficient, cost-effective, and highly practical way to get hands-on with Python and the exciting fields of machine learning and deep learning. Highly recommended!

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