Bachelor of Technology (B.Tech) in Artificial Intelligence and Data Science:
Bachelor of Technology (B.Tech) in Artificial Intelligence and Data Science is a four-year full-time undergraduate programme offered at BIET. B.Tech in Artificial Intelligence and Data Science is an advanced learning solutions imparting knowledge of advanced innovations like machine learning, often called deep learning and artificial intelligence. Aim of Artificial Intelligence and Data Science (AI&DS) is to tackle complex real-world problems (web search, speech recognition, and machine translation) that span across various practices of engineering with rigorous mathematical tools. The objective of this course is to present an overview of the principles and practices of AI to address such complex real-world problems.
The department of AI and DS is established in the year 2021 with highly qualified senior faculty with doctoral degree. This newly added department of AI and DS has been set up with a goal of training students as leaders and researchers in the fields of Artificial Intelligence & Data Science with world class infrastructure, curriculum and comprehensive hands on experience through industry connect programs. The course is designed to develop a basic understanding of problem solving, knowledge representation, reasoning and learning methods of AI. The major focus of this programme is to sensitize students with statistical, mathematical reasoning, knowledge discovery, affective skills, psychomotor skills and visualization skills. This program has an intake of 60.Learners aspiring to get exposed to nascent technologies in the realm of computer and digital technology with an aptitude for tracking mathematical complexities shall aspire to join this 4 years degree program in AI and DS which is getting established in the current year. It is an excellent opportunity to satisfy intellectual ego in addition to massive market opportunities.
About Artificial Intelligence and Data Science:
Data science, deep learning, and Artificial Intelligence (AI) have all been subject to much research and consideration in the last decade. The current use of these three forms and an expected increase in their future applicability means that they will correlate with each other to form the basis of a smart society. To understand the differences between the three and how they correlate with each other, it’s imperative to comprehend what they are and how they work towards creating a more technologically advanced society.
Artificial Intelligence :
The term “AI” is used so often nowadays that we have a basic understanding of what it means: a computer’s ability to perform tasks such as visual perception, speech recognition, decision-making, and language translation. AI has progressed rapidly over the last few years, but it is still nowhere near matching the vast dimensions of human intelligence. Humans make quick use of all the data around them and can use what they have stored in their minds to make decisions. However, AI does not yet boast such abilities; instead, it is using huge chunks of data to clear its objectives. This ultimately means that AI might require huge chunks of data for doing something as simple as editing text.
Data Science:
Data science is much more than just simple machine learning. Data here may not have been obtained through a machine, and it may not even be for learning purposes. Put, data science tends to cover the whole spectrum of data processing as we know it. Data science is not just related to the statistical aspect of the process, but it feeds the process and derives benefits from it through data engineering. Data engineers and data scientists have a huge role to play in propelling AI forward.
Applications of Data Science and Artificial Intelligence:
• Expert Systems:
Watson by IBM is a perfect example of how expert systems can benefit from the collaboration between deep learning, data science, and AI. The computer, which is powered by AI, can collect, absorb, and process data much quicker than humans. Watson can not only display a solution quickly, but it can also diagnose cancer with an unbelievable accuracy of 90 percent due to its vast knowledge. In contrast, well-trained doctors know only around 20 percent of the updates present in the diagnosis.
• Speech Recognition:
Thanks to the use of AI and numerous endeavors by Smartphone manufacturers, you can ask speech recognition software to locate the nearest ice-cream shop or order pizza, without typing a word. It is the creation of artificial neural networks that enforces the understanding computers have of what you say. It takes exhaustive machine learning to do this through AI.
• Google:
Google is pleased to have made use of enhanced deep learning and data science algorithms that make sure to provide users with content deemed relevant for them. The search engine uses machine learning algorithms to find out a plethora of data regarding what people are searching for and combs through more than a billion pages to rank the ones that are best for you first. All of this is done within a matter of microseconds. Amazing, right?
• Robotics:
A lettuce production company by the name of Spread has revealed its plans to equip robots for handling affairs within the farms. By harvesting 30,000 lettuce heads every day, robots will drastically increase efficiency. The processors within these robots have been fed a high plethora of data regarding the process it takes to harvest lettuce. Not only will this AI revolution increase efficiency, but it will also open doors to new possibilities.
B.Tech - AI and DS Advantages:
Well Researched and Carefully Crafted Curriculum.
Design Based Learning and Innovative Pedagogies.
State of the Art Infrastructure and Research facilities.
Skill Development & Personality Development.
Internships, Placements & Bright Career Prospects.
Annual Exhibition of AI Prototypes.
Facilities for Innovation, Incubation and Entrepreneurship.
Course delivery through real world applications.
Career Opportunity after completion of the course:
o Software Engineer.
o Data Manager.
o Data Analyst.
o Data Scientist .
o Product Analyst.
o System Analyst.
o Software Quality Assurance Analyst.
o Information Security Analyst.
o Machine Learning Engineer and Architect
o Artificial Intelligence Engineer