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Artificial Intelligence - Program Overview

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artificial_intelligence

Artificial Intelligence - Program Overview

Course Structured for Working Professionals

Case Studies and Assignments

Interactive Mentoring Sessions with Industry Experts

Student Advisor to help you complete the course

Hands on Assignments

Teaching Associate for Code Reviews

No Cost EMI Option

Advanced ML Algorithms, NLP, Deep Learning, Image Processing and Computer Vision, Mathematics and Statistics for AI, Data Wrangling, Deploying Scalable ML Models.

Tools Covered:

Scikit Learn, Pytorch, Hadoop, Luigi, Spark/PySpark, Docker and Containers, Terraform, NumPy, Pandas, Python, Dask, SQL/NoSQL, Keras/TensorFlow, SparkML, CuPy(L).

Job Opportunities:

ML Engineer, Data Scientist, Deep Learning Engineer, Data Analyst, Data Engineer, NLP Engineer, NLP Analyst, Research Opportunities

Course Structured for Working Professionals with Programming Experience.

Learn Artificial Intelligence and Machine Learning with hands-on projects and learning support, all designed to help you become an expert.

Artificial Intelligence is an actively growing subject in the world today. The Artificial Intelligence Course at GMA comprise of the basics of the subject as well as representative applications of the subject such as Machine Learning, Data Science, Statistics, Artificial Neural Networks, etc, among others. The numerous applications and the huge possibilities of AI are always exciting and will help to expand human capabilities beyond our imagination. This course is designed for the students to get a grip on the fundamentals and also apply AI to build intelligent computing systems and models.

What Is Artificial Intelligence?

AI can be defined as the science of creating machines that work in a manner that humans do with the help of intelligent programs. This is accomplished by studying to find out as to how human brains think and act while trying to solve a problem. The outcome of this study is used as the basis to develop intelligent software and systems.

AI is based on many subjects such as computer science, biology, mathematics, linguistics, engineering, and psychology among others.

Where Is AI Applied?

AI is currently used in applications such as in programs of strategic games such as chess and poker. The machine here can think of any possible outcomes on the basis of heuristic knowledge. It is applied in natural language processing when a computer should understand naturally spoken language by humans. Experts systems that use applications integrating hardware, software, and other special information that will impart reasoning capabilities rely on AI. Vision systems using AI are able to understand, interpret visual input on a computer. Speech recognition systems use AI to listen to speech and comprehend their different meanings when spoken by humans. There are many more applications being developed that would use AI to makes lives easy for human beings.

Experienced Faculty

Our experienced faculty from renowned institutions is integral to the development and widespread adoption of Artificial Intelligence and Machine Learning. They have wide teaching experience.

Guided Hands-On Projects

Build confidence in your ability by working on 12+ industry-relevant artificial intelligence and machine learning projects. These hands-on projects, with guidance from the program’s learning support team, will give you an opportunity to learn by doing. Through this program, you will build a project portfolio to showcase your expertise to the world.

Explore this game changing opportunity

Duration : 6 months