The Artificial Intelligence Skill Set is designed to introduce learners to the core concepts and technologies underpinning AI. The course starts with an overview of AI, its history, and its impact on different industries. Participants will explore the ethical considerations and societal implications of AI, ensuring a balanced understanding of both its potential and risks. Next, the course delves into machine learning, a key component of AI. Learners will study various machine learning algorithms, including supervised and unsupervised learning techniques. The course emphasizes practical applications, providing hands-on experience with tools such as Python and popular machine learning libraries like TensorFlow and scikit-learn. In addition to machine learning, the course covers natural language processing (NLP). Participants will learn how to process and analyze human language data, enabling them to build applications such as chatbots and language translation systems. The course includes practical sessions on text mining, sentiment analysis, and language modeling. The final section of the course focuses on AI deployment. Learners will gain insights into the challenges and best practices for deploying AI models in real-world environments. Topics covered include model evaluation, scaling, and integration with existing systems. The course also explores emerging trends in AI, such as reinforcement learning and AI ethics.