About the Programme
Articial Intelligence (AI) is the buzzword today that has touched almost every aspect of our life in a short span of time. Every industry has been inuenced by these emerging technologies at an unbelievable pace. Almost every organization from startups to large companies across the globe is looking for AI based solutions to fulll their business needs. AI experts are in high demand at as organizations need to analyze the market requirements, explore the meaningful business insights, predict the consumer behavior and take wise decisions from this data. This course will provide the in-depth knowledge on Articial Intelligence techniques and inculcate innovative and critical thinking to cater complex problems from industry
OBJECTIVE OF THE PROGRAMME
The objective of this one year diploma course is to inculcate innovative and critical thinking with expert knowledge in the eld of AI amongst the students. In this programme our focus is to provide the in-depth knowledge of in-demand skills of top companies. Our experts have designed a specialized curriculum to provide the in-depth knowledge on AI techniques and inculcate innovative and critical thinking to cater complex problems from industry. We have a strong faculty team dedicated to AI domain to make you job ready for top companies. We invite you to learn from AI experts and gain practical knowledge for solving complex problems in different application domain such as Medical, Manufacturing, Healthcare, Retail, Finance and Agriculture industries.
PROGRAMME OUTCOME
Upon successful completion of this course, the student shall be able to - 1. Demonstrate fundamental understanding of the history of articial intelligence (AI) and its foundations. 2. Apply basic principles of AI in solutions that require problem solving, inference, perception, knowledge representation, and learning. 3. Demonstrate awareness and a fundamental understanding of various applications of AI techniques in intelligent agents, expert systems, articial neural networks and other machine learning models. 4. Have insight into the main methods used in machine learning (ML) and articial intelligence (AI). 5. Demonstrate prociency in applying scientic method to models of machine learning. 6. Demonstrate an ability to share in discussions of AI, its current scope and limitations, and societal implications. 7. Design and conduct experiments using the methods, with emphasis on evaluation.
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