B. Tech in Computer Science (Artificial Learning and Machine Learning) is an undergraduate program with adaptive learning solutions by imparting knowledge of Artificial Intelligence, and its sub domains such as machine learning, artificial neural networks, soft computing natural language processing, deep learning, cognitive science and robotics.
The primary objective of this specialization is to enable students to learn how to build intelligent tools and intelligent agents with cutting-edge technologies using a combination of Linear Calculus, Statistics, Artificial Intelligence, machine learning and Data Science by applying various techniques and methods.
Today in the real world, many successful applications have been developed based on artificial intelligence and Machine learning. Some of the applications that use AI and ML inour everyday lives are :
1. Google Maps
2. Amazon , Flipkart ,Swiggy
3. Carpooling services like Uber , Ola
4. Music apps like Wynk and Spotify
5. Smart Personal Assistants like Alexa
6. Social media Apps like Facebook, Twitter and Instagram
7. Movie Recommendations
8. HDFC bank uses a smart assistant called EVA
9. Video Games
The CSE with AI & ML specialization covers Linear algebra, statistics, foundations of artificial intelligence, formal concepts and models, natural language processing, artificial neural networks, machine learning, soft computing tools and deep learning, Internet of things, computer vision systems, and intelligent agents.
• Machine Learning Engineer
• Data Analyst
• Data Scientist
• Big Data & AI Architect
• Big Data Scientist
• Artificial Intelligence Engineer
• Research Engineer - Artificial Intelligence
• Data and AI Consultant
• Robotics Professional
• Software Engineer
• IoT Architect
• Machine Learning Architect
Artificial Intelligence is influencing people and businesses on a massive scale and has become indispensable. The Artificial Intelligence Industry in India is currently estimated to be US$ 230 million (annual) in terms of revenue, up from US$180 million a year ago.
According to an IDC report commissioned by Intel India, over 68% of Indian firms are all set to adopt AI by 2020.
These companies include product companies (chatbots, AI-powered visual search and recommendation engines) and services firms offering either offshore, recruitment or training services.
The number of companies setting up dedicated AI teams in India is growing by 30% annually.
The median salary of AI professionals in India is INR 14.3 lakhs across all experience levels. Around 4% of AI professionals in India command a salary higher than Rs 50 lakhs, reflecting the massive demand for mid and senior-level AI talent in the country.AI and ML graduates can expect a starting salary from 4 lakhs to 6 lakhs
A professional can even expect a salary increase of 60-80% after they’ve developed some important AI skills.
Amazon, Google, Infosys, TCS, IBM, Microsoft are all on the lookout for qualified AI and ML engineers.
1: An ability to apply the fundamental knowledge of mathematics, computing, science, and engineering to solve Information Technology problems.
2: An ability to design and conduct engineering experiments as well as to analyze and interpret data with rubrics.
3: An ability to design and construct a hardware and software system, component, or process to meet desired needs within realistic constraints with core instruction and state-of-the art knowledge.
4: An ability to function on multi – disciplinary teams.
5: An ability to identify, formulate and solve engineering problems in the Information Technology field.
6: An understanding of professional, social and ethical responsibility with informed citizenship.
7: An ability to apply the broad education necessary to understand the impact of engineering solutions in a global, economic, and societal context.
8: An ability to recognize the need for and to engage in life – long learning.
9: An ability to apply computational skills and knowledge to maintain environmental sustainability.
10: An ability to use computer programming skills and modern engineering tools in networking and security necessary for engineering practice.
11: An ability to communicate effectively in both verbal and written usage.
12: An ability to understand and implement inter disciplinary concepts for project management and finance.
|S.NO||NAME OF THE FACULTY||DESIGNATION||DEPARTMENT|
|1||DR.S.KALAIMAGAL||Ph.D||PROFESSOR & HOD|
|2||DR.M.ABHILASH KUMAR REDDY||Ph.D||PROFESSOR|