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Artificial Intelligence is the future of IT. It incorporates human intelligence & algorithms to offer comprehensive discernibility into the functionality of the IT systems. The course on Artificial Intelligence with Xebia enables you to learn techniques by which machines demonstrate specific aspects of human intelligence such as learning, reasoning, and self- correction.
Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/Biotechnology/Biology or any Vocational subject.
Obtained at least 45% marks (40% in case of candidate belonging to reserved category) in the above subjects taken together.
B. Tech. With Xebia Technologies –
Tuition Fee:
Other Charges:
Prospectus Fees – 1000
Caution Money – 2000
Uniform Fee – 3250
Exam Fee -1500
Imagine computers or computer programs becoming intelligent enough to imitate human behavior – this is what Artificial Intelligence
Machine Learning is a subset of AI that uses data to solve tasks. This information is derived from probability theory and linear algebra. ML algorithms use data to learn and automatically solve tasks.
There are many examples of AI and Machine Learning in our world today, that touch our everyday lives, but some aren’t even aware of it. For example, every time you do a web search, when Netflix recommends a movie when Facebook selects posts, when Amazon recommends a book, it’s machine learning that’s behind.
Interestingly almost anyone who has a computer or smart phone or Smart Device, is using AI. Example: Siri, Alexa, Cortona, etc.
AI in Education
AI is transforming the education Sector in an exceptional manner. The beginning of presence of AI in education is seen as Tutoring and support outside the classroom where bots become your tutor and peer.
AI in Science and Research
AI is making lots of progress in the scientific sector. Artificial Intelligence can handle large quantities of data and processes it quicker than human minds. This makes it perfect for research where the sources contain high data volumes.
AI in Cyber Security
To keep data and resources secure, organizations are making massive investments in cybersecurity. The future scope of AI in cybersecurity is bright.
AI in Data Analysis
Data analysis can benefit largely from AI and ML. AI algorithms are capable of improving with iterations, and this way, their accuracy, and precision increase accordingly.
AI in Transport
The transport sector has been using AI for decades. Airplanes have been using autopilot to steer them in the air since 1912.
AI in Home
AI has found a special place in people’s homes in the form of Smart Home Assistants. Amazon Echo and Google Home are popular smart home devices that let you perform various tasks with just voice commands.
AI in Healthcare
The medical sector is also using this technology for its advantages. AI is helping medical researchers and professionals in numerous ways.
For example, the Knight Career Institute and Intel have made a collaborative cancer cloud. Read about it to know more.
To be a proficient AI Engineer, it is essential to tune yourself with the mandatory technical skills. The candidate must be educated in both practical and theoretical concepts as pointed below:
Jobs in the artificial intelligence industry are expected to increase by 2.3 million positions by the year 2030, and according to a report produced by Capgemini’s Digital Transformation Institute, 83% of companies that use AI technologies confirm that AI is already contributing to the creation of new jobs. Artificial intelligence is being used for a variety of applicationsfor the purpose of making computers smarter, and below are some of the jobs you can apply for with a degree and certification in AI.
Machine Learning Engineer
The role of a machine learning engineer is at the heart of AI projects and is suitable for those who hail from a background in applied research and data science with a thorough knowledge of multiple programming languages.
AI Engineer: An AI engineer builds AI models using machine learning algorithms and deep learning neural networks to draw business insights, which can be used to make business decisions that affect the entire organization
AI Architect:
AI architect is like the chief data scientist, planning the implementation of solutions, choosing the right technologies and evaluating the evolution of the architecture as the clients’ needs change
Computer Vision Engineer:
A computer vision engineer solves real-world problems by using computer vision research that is focused on a vast volume of data.
NLP Engineer:
NLP Engineers are responsible for the interaction between everyday human language and a computer’s ability to process and analyze natural language data.
Deep Learning Engineer
Deep Learning Engineers are experts in Machine learning and Deep Learning. Their primary responsibility is to use DL platforms and algorithms for performing specific tasks to further the bigger goal – Artificial Intelligenc
AI Specialist
The majority of AI specialists work in applied AI, their purpose is to program computer smart systems. These systems cover a number of aspects, ranging from recognizing voices to solving complicated problems.
Data Scientist
Data scientists are charged with collecting, analyzing, and interpreting large, complex datasets by leveraging both machine learning and predictive analytics. They also play a vital role in developing algorithms that enable the collection and cleaning of data for analysis.
Business Intelligence Developer
Careers in artificial intelligence also include the position of business intelligence (BI) developer. The primary objective of this role is to analyze complex data sets to identify business and market trends.
Research Scientist
Individuals as Research Scientists are experts in multiple AI disciplines, including applied mathematics, machine learning, deep learning, and computational statistics.
Almost the whole industry is hiring Ai engineers but to name a few, giants like Google, Instagram, Oracle, Dell, Deloitte, JP Morgan, PayPal, Microsoft and many are actively hiring Ai engineers as it’s the need of the industry. The demand is high but skilled people are not readily available.
Yes Definitely! Xebia Academy under its academic alliance program is currently working with several prestigious higher education institutions organizing specialized courses for computer science students in Artificial Intelligence and other IT related programs in emerging technologies.
Xebia is providing end to end support and helping students acquire the required skills and knowledge to become Job-ready in these technologies. Industry researched and innovative curriculum along with access to knowledge repository, mentorship with experts and fun filled student engagements is provided to all the students enrolled in this program.
You just need to have the passion to learn and will be easily able to cope up with the course. Also needs the required qualification as per the university guidelines.
Xebia is not just a training institute, we are an IT based Consultancy with our origins in Netherlands. We are a company who is also using these technologies in our projects and we are working live on them.
Xebia provides has introduced some unique concepts to help students learn better such as the Agile Learning Lab. This concept provides a world-class learning environment with infrastructure that is proven to be most conducive for collaboration, creative ideation and convenient progress tracking for learners and faculty.
This model faster innovative thinking, problem-solving and collective learning in classrooms where students can complete not just their theory and tutorials but also their practical (lab projects) tutorials with ease.
Xebia will also provide assistance in placements and internships through the network of companies with which we are working , such as Microsoft, SAP, Amdocs, Etc.
Other benefits include regular webinars & tech talks by the industry giants, regular hackathons and tech events, world-class digital courseware, access to Xebia events, industry projects and much more.
