B.Tech Artificial Intelligence itself is an engineering specialisation designed to enable engineering aspirants and computer science enthusiasts to build intelligent machines with a cutting-edge combination of machine learning, data analytics and visualisation technologies. If you are planning for the best career in engineering for future, you should choose B.Tech in Artificial Intelligence. Learn more about the AI applications.
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. As a result, an AI engineering professinal can look forward to join in major organisations across the globe.
Artificially Intelligent solutions are particularly promising for Indian scenario. The reason is that, 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 intelligent applications. However, the demand for professionals trained in this area far exceeds the current supply. The B.Tech Artificial Intelligence programme 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. It is otherwise called as deep learning. As a result, B.Tech in Artificial Intelligence programme came out. It is a B.Tech specialisation designed for engineering aspirants and computer science enthusiasts to build intelligent solutions. As a result, this will be along with cutting-edge combination of machine learning, data analytics and visualisation technologies.
Programme outcomes of B.Tech 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 their application 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 as a result, gain skills to implement scalable solutions using AI and machine learning components, technologies and tools
Career opportunities in B.Tech 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 Optimisation Engineer
- Game developer
IT Industry has transformed and is dominating across other disciplines with the advent of globalisation, and technological advancement in the recent decades. This has in turn helped the job market to expand. Programmes like B.Tech in Artificial Intelligence are designed to match the needs of the industry. Therefore, they help the engineering aspirants to prepare for the well-rewarding jobs of future. In addition to all the mandatory subjects of a traditional B.Tech, this specialised programme offers in-depth practical knowledge of the fast-growing technology domains. Domains related with B.Tech Artificial Intelligence are specialisation focusing on cutting edge technologies in the field of Artificial Intelligence, Data Science, Internet of Things, Cloud Computing, Mobile Application Development and Information Security.
Applications of Artificial Intelligence
B.Tech Artificial Intelligence degree programme is a branch of computer science specialising in artificial intelligence, machine learning and data analytics that have seen exponential usage in the last few years. This includes extensive penetration of cellular and mobile phones, increasing use of online services including e-commerce, social media, e-banking. It is also because of the increasing incidents on human workload across all the job levels in all the domains. Artificial Intelligence is a well-established, exciting and challenging specialisation in computer science engineering domain. It concerned with methods to make computer machines and systems intelligent enough to find a solution of its own. To sum up, machines will 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. In other words, 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 a result, 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 undergoing B.Tech Artificial Intelligence need to shape their innovative and creative thinking for transition to the technology industry. More importantly, 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. Therefore, 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 instance, 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. As a result, these technologies will necessitate new skills and roles, opening up possibilities for the talent pool and next-generation of professionals.