DPGITM is ranked among the top 10 B. Tech in Computer Science (Artificial Learning) college in Gurgaon, India. B. Tech in Computer Science (Artificial Learning) is a program for high school graduation that provides information on new and advanced technologies such as machine learning, often referred to as in-depth learning and artificial intelligence.
The last decade has seen an escalation in the number of applications, solutions, platforms and tools based on Artificial Intelligence (AI). The newer technological prospects and digitalization being facilitated by AI are driving the major social and economic transformations since the industrial revolution. Systems that can learn from experiences, simulate reasoning and mimic human behavior are being developed worldwide.
Therefore, the demand of professionals with ability to research, discover and implement AI based solutions is increasing exponentially. The Bachelor of Technology (Artificial Intelligence & Machine Learning) programme is designed keeping in mind the current needs and skillset required for applying AI in diverse domains, designing and implementing AI solutions, and improvising the existing solutions into AI based solutions.
Artificial intelligence has emerged as the vital force behind several revolutionary digital innovations and technologies. It has been growing at an increased pace due to its versatility and advanced features in areas including health, transport, security and many more. With the world been quietly reshaped by machine learning, it has led to an enormous change in the course of our lives. Implementing Machine Learning(ML) in day to day lives resulted in making our jobs both easier and productive. Apart from providing advanced solution it has turned out to be an important metric for competitive edge business and innovation.
This course would be a pathway for students to focus on real time applications across all fields including information technology, media and entertainment, gaming, automative industry, and even banking and finance. Hands on training would keep students connected to advanced features of such intelligent learning systems and enhance the quality of present-day technology. The course would provide them in finding a lucrative career and a bright future both in terms of technology, research and innovation.
Career PathsOver the past decade, an explosion of IT careers has arrived on the scene. Some of career choices for CSE(AI ML) Undergraduate includes:
• Data Scientist
• Data Technology Engineer – AI
• Applied ML Engineer
• Qualitative Expert
• Analytics Manager
• Algorithm Specialist
• Computer Vision Engineer
• Deep Learning Engineer
• AI Architect
Since technology is growing and evolving at a breakneck speed, so are the jobs in Information Technology. Information Technology has become the foundation on which industries rest and the next decade will give birth to new opportunities and see the evolution of existing careers.
Infrastructure:
Artificial Intelligence being the most sought-after skill in the industry, DPGITM is in process to partnering with Nvidia, the technology leader in AI computing. As a part of this initiative, DPGITM will be procured Nvidia DGX Station, with four Nvidia Tesla V100 Tensor Core GPUs each with 32 GB memory and Intel Xeon processor with 20 cores, the workstation delivers 500 teraFLOPS of AI power. The DGX Station can accelerate machine learning training up to 215X faster and carry out deeper exploration in the fields of Data Science, Machine Learning and Deep Learning. Also the department has signed an MoU with IBM India Pvt Ltd. The IBM Big Data Software Centre of Excellence is an initiative with a vision to enable the students and faculty in higher education to gain the relevant skills in Big Data Analytics, experiential learning and to make them adept with latest Big Data technology and tools. Currently the researchers are involved in research projects on Bio-medical text mining, Analytics in surveillance videos, Data Analytics on Social Media data, Drug Analysis, Predictive Analytics for cancer, fraudulent data Analytics, and traffic data analytics.
