This course is designed to provide a strong foundation in Artificial Intelligence (AI) for beginners. It covers all the essential concepts needed to understand and build AI-powered applications. You will learn about fundamental AI techniques, including machine learning, deep learning, neural networks, and natural language processing (NLP).
The course starts with the basics of AI, explaining how machines learn from data and improve over time. It then progresses to more advanced topics such as supervised and unsupervised learning, neural network architectures, and AI-driven automation. You'll also get hands-on experience with industry-standard tools like TensorFlow, PyTorch, and Scikit-learn, enabling you to implement AI models efficiently.
By the end of this course, you will have a clear understanding of how AI works, how to train models, and how to deploy them for real-world applications. Whether you're a student, developer, or tech enthusiast, this course will help you take the first step toward mastering AI and building intelligent systems.
