What is covered in an Artificial Intelligence certification course?
An Artificial Intelligence certification course covers the essential concepts, tools, and techniques used to build intelligent systems. Learners gain a solid foundation in machine learning, deep learning, neural networks, and natural language processing (NLP). The course also explores AI model training, data preprocessing, computer vision, and AI ethics. Through hands-on projects and real-world case studies, participants learn to design, train, and deploy AI models across industries. Topics like Python for AI, TensorFlow, and AI automation are also included to ensure practical proficiency. By the end, learners are well-prepared for AI development, data science, or machine learning roles.
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