welcome to IIHT Jaipur

course details

Artificial Intelligence and Machine Learning @ IIHT

The courses in Artificial Intelligence and Machine Learning provides a comprehensive insight into the key concepts and trends in machine learning, data mining, and strategic pattern recognition. The courses draw from a blend of case studies, VILT sessions, and numerous lab exercises, ensuring that learners are adept at applying what they’ve learnt in real-world scenarios. The carefully architected course structures will cover varying topics, from supervised and unsupervised learning to deep learning.

 

Already know which course to sign up for?

Explore a wide range of courses offered in a blended learning environment and find the course you want to enroll for.

View Courses

Not sure which course is ideal for you?

Speak to an expert and explore what the industry is looking for, and identify which course will help you with your career.

Call Us

 

Artificial Intelligence and Machine Learning

Machine Learning and Data Science is piercing into almost every aspect of life and work – right from spam filters to algorithmic trading, playing a crucial role in today’s IT environment. Machine learning is now becoming a mainstay in almost all forms of technology, with over 50% of firms that have implementing it in their products. Over the last few years, innovations in machine learning technologies and algorithms have resulted in fraud detection, speech recognition, self-driven cars, accurate web searches and a constantly increasing understanding of the human genome. Meanwhile, emerging from the need to analyse and leverage large volumes of data more effectively, enterprises are turning to data science and data scientists to explore the potential of Big Data. While traditionally data is gathered from a single source, data science takes it a step further, analysing data across multiple sources and platforms to gain insight into how an enterprise can enhance their business model.

 

What do you gain from IIHT’s Blended Learning ?

IIHT’s learning model is integrated with the latest Learning trends to ensure that the audience remains engaged and their overall learning experience is flexible, convenience and productive. What more? We provide you a unique and engaging content on a user friendly and immersive learning platform that helps you to not only attend the training sessions, but watch Learning videos, read Learning Materials, interact with fellow students, write to the faculty members, practice labs, 24x7 support from a single window that makes learning effective. The assignments and assessments designed as part of the course ensures you develop right capability to prove your worth in your existing job or with prospective employer. Our state of the art learning system helps you to connect with fellow learners who are mostly working professionals that helps you to learn through collaboration and knowledge sharing.

Key concepts will be explained by Online / Live Instructor led sessions, where syllabus material will be presented and the subject matter will be illustrated with demonstrations and examples. Tutorials and/or labs and/or group discussions (including online forums) focused on projects and problem solving will help one practice in the application of theory and procedures, allow exploration of concepts with mentors and other fellow students. You get regular feedback on your progress and understanding; assignments, as described in Overview of Assessment (below), requiring an integrated understanding of the subject matter; and private study, working through the course as presented in classes and learning materials, and gaining practice at solving conceptual and technical problems.You get access to informative Learning videos from Global Experts that helps you to get larger perspective from real time perspective that you would not get in any other Live session.

LEARNING OUTCOMES

  • Evaluate Machine Learning behaviourthms
  • Forecast behavior and trends using existing data
  • Analyze data to find relative patterns to predict outcomes
  • Analyze continuous data in varying scenarios