Explore the fundamentals of Artificial Intelligence (AI) and gain practical experience in applying AI techniques to real-world challenges. This course provides a comprehensive introduction to AI concepts, machine learning, and deep learning, equipping participants with the knowledge and skills necessary to build AI-driven solutions. *Participants will begin by understanding core AI principles, including its history, key definitions, and future impact. The course will then dive into machine learning techniques, covering supervised, unsupervised, and reinforcement learning methods. Through hands-on exercises, learners will gain experience in building and implementing Natural Language Processing (NLP) models, such as chatbots and sentiment analysis tools, as well as developing computer vision applications for tasks like object recognition and image classification. * The course also explores deep learning, where students will design and train neural networks using modern AI frameworks. Additionally, learners will analyze the ethical and societal implications of AI, focusing on issues such as bias, transparency, and accountability. Case studies of AI applications across various industries will help students evaluate the practical impact of AI in sectors like healthcare, finance, and marketing. * By the end of the course, participants will complete a capstone AI project, applying their acquired knowledge to design, develop, and present an AI-driven solution. Whether you are an aspiring AI specialist, a tech professional, or an industry leader looking to integrate AI into your business, this course will provide you with a strong foundation and hands-on experience in artificial intelligence.
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Note :
Time and Date subject to changes depends on course schedule of implementation.
Our team has carefully curated this schedule to provide a rich and immersive experience for all attendees.
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