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Concept
Artificial Intelligence (AI) is the concept of having machines “think like humans” — in other words, performing tasks like reasoning, planning, learning, and understanding language. While no one is expecting parity with human intelligence today or in the near future, AI has a big application in our day to day lives. The brain behind artificial intelligence is a technology called machine learning, which is designed to make our jobs easier and more productive.
A lot of things have aligned to make this an exciting time for major advancements in AI.
Yes. Almost everyone who has a computer, smartphone, or other smart device is already using AI to make life easier:
Let’s think of AI as an iceberg. What you see as a user is just the tip — but beneath the surface lurks a behemoth support system of data scientists and engineers, massive amounts of data, labor-intensive extraction, preparation of the data, and a huge technology infrastructure. It takes a specialized team of data scientists and developers to access the correct data, prepare the data, build the correct models, and then integrate the predictions back into an end-user experience application.
Machine learning is the core driver of AI. It’s the concept of having computers learn from data with minimal programming. Machine learning works with structured data to detect patterns that provide insight. Everyday examples are personalised recommendations from services like Amazon or Netflix. In the financial arena, machine learning predicts bad loans, finds risky applicants, and generates credit scores.
Deep learning is AI that uses complex algorithms to perform tasks in domains where it actually learns the domain with little or no human supervision. In essence, the machine learns how to learn.
While there’s lots of exciting experimentation happening with deep learning, most practical applications you’re familiar with are based on image analysis. With image analysis, a computer learns to classify random images by analysing thousands or millions of other images and their data points. For example, consumer apps like Google Photos and Facebook use deep learning to power face recognition in photos.
NLP is AI that recognizes language and its many usage and grammar rules by finding patterns within large datasets.
One application of NLP that’s gaining traction is sentiment analysis within social media. Computers use algorithms to look for patterns in user posts across Twitter, Facebook, or other social networks to understand how customers feel about a specific brand or product.
Training and Career Assistance
The courses at AILABS range from Beginner to Advanced levels. There is a possibility that you may be inducted in course that is compatible with your experience in this field.
AILABS is constantly in touch with various companies for their hiring and training needs. We shall identify the right opportunities for the students and help them get in touch with the relevant HR teams.
AI has application in:
Automotive Banking
Finance
Government
Healthcare
Insurance
Manufacturing
Mobile App market
Pharmaceuticals
Retail
Sports
Telecommunication
Course and Certification
AILABS offers programs in Artificial Intelligence category that broadly fall under Data Analytics, Machine Learning and Deep Learning.
Yes, you will get a certificate at the end of every AILABS upon successful completion of the same.
This course is a classroom cum web based professional course conducted by faculties inducted from premier institutions with proven expertise in the academic and IT industry, with the aim to accelerate transition from existing AI knowhow to its escalating scope.
AILABS has as its backbone, the tech solutions team of DataCore, a one-stop shop for breakthrough tech solutions, working with Fortune 1000 companies and government organizations.
DataCore is also a member of the DC group of companies which has transnational presence in engineering consultancy, besides significant footprints in healthcare and education.
Thus a certificate from AILABS would add credibility and acceptance in the market.
Enrollment and Payment
Participants can pay through online transfer, debit card or credit card.
All fees are payable at the beginning of the coursework. For more options, please contact AILABS counselors.
