Artificial Intelligence and Machine Learning Engineer

The Artificial Intelligence & Machine Learning Engineer course equips students with the knowledge and skills needed to design, develop, and deploy AI and machine learning models. The course covers key concepts such as supervised and unsupervised learning, neural networks, deep learning, natural language processing, and computer vision. Participants will learn to work with popular frameworks like TensorFlow, PyTorch, and scikit-learn. The curriculum includes hands-on projects to build real-world AI applications. Additionally, the course emphasizes ethical AI practices and the impact of AI on society. Graduates will be prepared for roles in AI research, development, and application.

Outcome:-

AIML (Artificial Intelligence Markup Language) is a language designed to create and manage conversational agents or chatbots. Its outcome is the development of more sophisticated and interactive virtual assistants that can handle a wide range of user queries. AIML facilitates the creation of conversational patterns and responses, enabling chatbots to provide relevant and context-aware answers. By structuring responses and handling variations in user input, AIML enhances the user experience in automated conversations. Overall, AIML contributes to advancing human-computer interaction through improved and more natural dialogue capabilities.