Course description

The Introduction to Artificial Intelligence (AI) course is designed to provide participants with a foundational understanding of AI concepts, applications, and technologies. This comprehensive curriculum aims to introduce learners to the exciting world of AI, covering its history, core principles, and practical implementations. By the end of the course, students will have a clear grasp of AI fundamentals and its impact on various industries.

What will i learn?

• Fundamental Understanding of AI Concepts: Participants will gain a strong foundation in artificial intelligence, including its history, key terminology, and core principles. They will comprehend the differences between AI, machine learning, and deep learning.
• Knowledge of AI Techniques and Algorithms: Participants will be familiar with various AI techniques and algorithms used for problem-solving, game playing, and agent-based systems. They will understand how search algorithms work and their applications.
• Introduction to Machine Learning: Participants will grasp the basics of machine learning, including supervised, unsupervised, and reinforcement learning. They will become acquainted with common regression and classification algorithms and learn how to evaluate model performance.
• Insight into Neural Networks and Deep Learning: Participants will have an understanding of neural networks and deep learning. They will explore the workings of multi-layer perceptrons (MLPs) and convolutional neural networks (CNNs), along with their applications in various domains.
• Awareness of AI Applications in Diverse Industries: Participants will gain insights into real-world applications of AI across industries such as robotics, automation, business, finance, healthcare, and natural language processing (NLP). They will appreciate the potential and challenges of integrating AI in different sectors.

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