Participants may gain a deeper understanding of machine learning, data science principles, and the emerging field of General Artificial Intelligence (Gen AI).
Participants had Hands on Experience with implementing machine learning models, analyzing data, and experimenting with AI algorithms.
Participants have developed essential skills such as programming, data analysis, problem-solving, and critical thinking in the fields of machine learning and data science.
Participants may develop improved problem-solving skills by applying machine learning and data science techniques to real-world problems.
Around 290 Participants (Internal and External) registered the Two Weeks Online STTP on “Machine Learning, Data Science and Gen AI” organized by department of CSE (Artificial Intelligence and MAchine Learning), KPR Institute of Engineering and Technology from 05.02.2024 to 16.02.2024. This STTP is designed to cover a wide range of topic such as Segmentation Techniques in deep learning, AI in Healthcare, Exploratory data analysis, ML flow, Understanding of data for designing ML and DL applications, Deep learning unleashed: PyTorch and TensorFlow, Industrial applications of computer vision, Generative deep learning models and applications, Overview of LLM and Strategic transformation in insurance and SaT through GenAI, xAI and NLP. This event was highly enriching and impactful program that provided participants with valuable knowledge, skills, and insights in the rapidly evolving fields of AI and data science. The session was most covered by industry professionals which provided valuable insights into the application of machine learning and data science in various sectors. The participants had the chance to interact with experts in the respective research area and gained an interdisciplinary perspective, recognizing the intersection of machine learning with other fields and the potential of General AI in various domains.
21st Century Engineering College in Coimbatore
World is transforming everyday. In the rapidly evolving engineering landscape, we have an Increased responsibility to transform the engineering education from traditional curriculum to meet the 21st century skills like Creativity, Critical Thinking, Collaboration and Communication. Through our unique and strategic approach we enable our students to learn beyond and prepare them for life long success.
