BTech in Artificial Intelligence

BTech Artificial Intelligence

BTech in Artificial Intelligence itself is specialization is designed to enable engineering aspirants and computer science enthusiasts to build intelligent machines with a cutting-edge combination of machine learning, data analytics and visualization technologies.

One person’s “paranoia” is another person’s “engineering redundancy”-Marcus J. Ranum, Author The Myth of Homeland Security

By 2020, insights-driven businesses will steal $1.2 trillion per annum from their less-informed peers. Forrester Predictions 2017: Artificial Intelligence will drive the Insights Revolution. NASSCOM says by 2020, the artificial intelligence market will surpass $60 billion. Here are some of the roles an AI professional can look forward to in major organizations.

Artificial Intelligent solutions are particularly promising for India (given the availability of a large corpus of data) where it can have a major positive impact on several critical domains such as healthcare, crop and soil management, weather prediction, surveillance and security, and defence. Long term and robust solutions to problems in these domains require a systematic and disciplined approach that is rooted in the fundamentals of artificial intelligence. However, the demand for professionals trained in this area far exceeds the current supply. The BTech Programme in Artificial Intelligence is a step in the direction of addressing this highly skewed demand-supply scenario.

Computer-based solutions are becoming smarter and intelligent with the recent advances in machine learning, otherwise called as deep learning. BTech in Artificial Intelligence is specialization is designed to enable engineering aspirants and computer science enthusiasts to build intelligent systmes with a cutting-edge combination of machine learning, data analytics and visualization technologies.

Here are some of the programme outcomes after doing BTech Artificial Intelligence

Acquire knowledge of fundamental concepts, design strategies, advance technical architecture, progress infrastructural requirements, services, deployment model, tools and techniques.

Programmes offered by IITs has got augment curriculum with pragmatic approach through projects, knowledge exchange forums and sessions by professionals.

Gain the  ability to explain and apply key ideas in artificial intelligence and machine learning and how they are being used in IBM, Google, Amazon, Facebook, etc.

Understand and be knowledgeable about the related domains such as natural language processing, text mining, robotics, reasoning and problem solving

Acquire ability to design, develop and test intelligent solutions to problems in a variety of domains and business applications

Attain insights required to analyse, compare and select the best among the different methods for machine learning and intelligent reasoning

Gain hands-on experience and skills to implement scalable solutions using AI and machine learning components, technologies and tools

Expected jobs after BTech Artificial Intelligence

Machine Learning Engineer

  • Data Scientist in Machine Learning
  • Research Engineer – AI
  • Big Data & Artificial Intelligence Architect
  • Big Data & Artificial Intelligence Consultant
  • Robotics Professional
  • Data Engineer
  • Research Scientist
  • Natural Language Processing Scientist
  • Automation and Optimization Engineer
  • Game developer

IT Industry has transformed and is dominating across other disciplines with the advent of globalization, and technological advancement in the recent decades. This has in turn helped the job market to expand. Programmes like BTech in Artificial Intelligence offered as specialization are designed to match the needs of the industry. They help the engineering aspirants to prepare for the well-rewarding jobs of future. In addition to all the mandatory subjects of a traditional BTech, this specialized programme offers in-depth practical knowledge of the fast-growing technology domains. This is not just c, but in all the related and interdisciplinary domains.  Domains related with BTech Artificial Intelligence are specializations focusing on cutting edge technologies in the field of Artificial Intelligence, Data Science, Internet of Things, Cloud Computing, Mobile Application Development and Information Security.

BTech Artificial Intelligence (AI) degree programme is a branch of computer science specializing in artificial intelligence, machine learning and data analytics that have seen exponential usage in the last few years. It is fueled with explosion with the heavy usage of internet and related technologies. This includes extensive penetration of cellular and mobile phones, increasing use of online services including ecommerce, social media, e-banking and increasing incidents on human workload across all the job levels in all the domains. Artificial Intelligence is a well-established, exciting and challenging specialization in computer science engineering domain concerned with methods to make computer machines and systems intelligent enough to find a solution of its own. So that they are able to learn from experience to derive implicit knowledge from the one given understand natural languages to determine the content of images to work collaboratively.

It is a great time to pursue careers in technology with technology being at the forefront of economic development for any developing country, driving businesses and creating jobs. The sector is noticing a dynamic shift as against the popular perception of fading glory of the IT sector, with innovation taking the front seat.

The future of job sector is changing in all the emerging domains, as the technology industry today is very different from how the IT industry has been over the last three decades. It is because of the innovation being the key differentiator, says Mohan Sekhar, senior managing director, Accenture Technology and Lead – Accenture Advanced Technology Centers in India.

“We strongly believe that students need to shape their innovative and creative thinking for transition to the technology industry. Students should inculcate an agile learning culture and continuously learn to stay relevant in today’s world of constant change,” says Sekhar.

Initiatives such as Accenture Innovation Challenge are opening up opportunities for students and surge in participation in the competitions shows the increasing urge to innovate. In the last seven years, the entries have increased from 1,000 (in 2012) to 13,000 entries in 2018.

Artificial Intelligence (AI) will be the single most disruptive technology to shape future jobs, he says.

“AI is the future of growth, it will change how businesses operate. If we look only at the AI prism for example, we are talking of three types of talent needed to design, manage and run an AI project: data scientists with machine learning background, technologists with a computer vision or similar background, and specific domain experts depending on the problem being solved,” says Sekhar.

Some of the other new areas witnessing traction are cloud computing, blockchain, internet of things (IoT), quantum computing and security. These technologies will necessitate new skills and roles, opening up possibilities for the talent pool and next-generation of professionals.

Author: Admin

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