Frequently Asked Questions


1I have heard about AI. What is it?
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.
2Why is AI such a hot topic lately?
A lot of things have aligned to make this an exciting time for major advancements in AI.
  • Processing power has improved at an amazing rate — there’s been a trillion-fold increase in performance over the last 60 years
  • The cost of data processing has become more affordable
  • There’s more data that needs to be analysed because businesses are capturing more signals from customer interactions
  • Application of AI has already improved consumer apps significantly — leading to further expectations in making life easier, spurring the need for AI technical knowhow and R&D
3Am already using AI?
Yes. Almost everyone who has a computer, smartphone, or other smart device is already using AI to make life easier:
  • Siri and Cortana act as your personal assistants using voice processing
  • Facebook recommends photo tags using image recognition
  • Amazon recommends products using machine learning algorithms
  • Waze suggests optimal driving routes using a combination of predictive models, forecasting, and optimisation techniques
4What are the main challenges with AI Technology?
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.
5What is machine learning? What are some examples?
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.
6What is deep learning? What are some examples?
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.
7What is natural language processing (NLP)? What's a good example?
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

1How does AILABS training work?
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.
2What kind of career assistance does AILABS offer?
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
Mobile App market

Course and Certification

1What program or course does AILABS offer?
AILABS offers programs in Artificial Intelligence category that broadly fall under Data Analytics, Machine Learning and Deep Learning.
2Do i get certificate at the end of my course?
Yes, you will get a certificate at the end of every AILABS upon successful completion of the same.
3Is the AILABS certificate recognized by the industry?
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

1What are the different modes of payment available for enrollment?
Participants can pay through online transfer, debit card or credit card.
2Can the fee be paid in installments?
All fees are payable at the beginning of the coursework. For more options, please contact AILABS counselors.