What Will You Learn?

• Grasp core AI concepts: Students will gain a comprehensive understanding of fundamental AI principles like search algorithms, knowledge representation, reasoning, machine learning, and deep learning.
• Identify AI applications: Students will be able to recognize situations where AI techniques can be effectively applied to solve problems.
• Evaluate AI strengths and limitations: The course will equip students to assess the capabilities and limitations of different AI approaches.
• Implement basic AI algorithms: Students will develop hands-on skills in implementing core AI algorithms using a chosen programming language (e.g., Python).
• Utilize AI libraries and tools: The course will introduce students to popular AI libraries and tools, enabling them to work with real-world AI applications.
• Design intelligent systems: Students will gain the ability to design and develop simple intelligent systems by applying learned AI techniques.
• Analyze complex AI models: Students will be able to critically analyze and interpret the behavior of complex AI models like deep neural networks.
• Adapt AI models for new tasks: The course will equip students to adapt existing AI models for solving new and unseen problems.
• Explore ethical considerations: Students will gain a critical understanding of the ethical implications surrounding the development and deployment of AI systems