An Industrial Visit at HCL Noida on “AI , ML , IoT & its Applications with Data Science” was organized for ITS Engineering College students.. The Industrial Visit aimed to equip budding engineers with essential skills and knowledge in the rapidly evolving fields of AI , ML , IoT & its Applications with Data Science Whether it’s Full Stack Application Development, AI, ML, Data Science, Cyber Security, Cloud Computing or IoT , Flexible Courses cater to diverse interests and schedules gain practical skills, industry insights, and invaluable expertise from seasoned professionals.
HCL Technologies Limited (HCLTech) is an Indian multinational information technology (IT) consulting company headquartered in Noida. Founded by Shiv Nadar, it was spun out in 1991 when HCL entered into the software services business. The company has offices in 59 countries and over 220,000 employees.
Saransh Saxena (General Manager, GUVI-HCL), Kaushal Kashyap (Marketing & Business Growth Head, GUVI-HCL) & Jatin (Relationship Manager Institute-Industry Alliance, GUVI-HCL) alongwith other result-oriented AI , ML , Data Science Project Dev. Team having years of experience in Data Science, Machine Learning and data Science market and has been working with cross-functional teams (Technology, Marketing, Sales) for driving impactful business solutions, currently working in HCL Group, Noida. Development software Company empowers B. Tech. Students for high-demand sectors, ensuring job-ready in less time also having years of experience in Full Stack Application Development, Data Science & Analytics with AI/ML, Cloud Computing, AWS and UI/UX Training and has been working with cross-functional teams (Technology, Marketing, Sales) for driving impactful business solutions.
The opening of the program was made by welcoming the guests speakers Saransh Saxena (General Manager, GUVI-HCL), Kaushal Kashyap (Marketing & Business Growth Head, GUVI-HCL) & Jatin Sir (Relationship Manager Institute-Industry Alliance, GUVI-HCL) . HCL Technologies Limited (d/b/a HCLTech) is an Indian multinational information technology (IT) consulting company headquartered in Noida. Founded by Shiv Nadar, it was spun out in 1991 when HCL entered into the software services business. The company has offices in 59 countries and over 220,000 employees. Company also trained many professionals / students for transitioning their career in Data Science/Machine Learning roles to top companies in the world. Ghanshyam Yadav A.P.(CSE) also briefed about the objective and the plan of the Industrial Visit . Following were the details about the Industrial Visit .
Navigations about career scope in Data Science/ Machine Learning/ AI: Roadmap for career transition
The rationale behind this technical Industrial Visit is to offer hands-on learning, and practical knowledge in Data Science which is relevant for the industries. The Industrial Visit was conducted through interactive sessions and engaging activities that can empower the participant with valuable insights and technical knowledge which can help in their academic and professional pursuits.
The first half of the Industrial Visit commenced with an engaging keynote speech by Saransh Saxena (General Manager, GUVI-HCL), Kaushal Kashyap (Marketing & Business Growth Head, GUVI-HCL) who highlighted the immense potential of data science and machine learning in solving complex engineering problems and revolutionizing industries. He emphasized the importance of understanding data-driven decision-making and the impact it can have on the future of engineering.
In second half of the Industrial Visit , 3rd year students dived into practical sessions, where they learned the fundamentals of data science, including data preprocessing, exploratory data analysis and feature engineering. They also gained insights into different machine learning algorithms and techniques. The second half of the Industrial Visit focused on hands-on coding exercises and project work on Data Science & its Applications with Machine Learning. The participants were divided into teams and provided with real-world datasets to apply their newfound knowledge and skills. Industrial Visit guided by experienced faculties, the students worked collaboratively to build predictive models and extract meaningful insights from the data.
