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Artificial intelligence (AI) is already a part of our day to day life. When you are opening your mobile with your face ID or when you are using browsing your social media feeds, AI is working behind the scenes in more than one way. Even though deep learning models have been around for more than 4 decades, it gained traction within last decade only. Since the 2010s, advances in both machine learning algorithms and computer hardware have led to more efficient methods for training deep neural networks that contain many layers of non-linear hidden units and a very large output layer.
In November 2015, Google released TensorFlow, a deep learning framework with a flexible architecture that allows for the easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices. One year later in 2016 September, Facebook released the initial version of PyTorch, a deep learning library in Python. These two libraries started the revolution in deep learning and AI.
Since its release both the framework has been leading the industry leaving their competitors far behind. For this course though we will go with TensorFlow 2.0 released September 2020.
Anyone who wants to become Artificial Intelligence Engineer
Duration of the course if 11 months
(350 hours)
Jain University
You will start by learning the basics. Core Python, Object-Oriented Python, Python for Data Science are all covered thoroughly.
You will learn all the important algorithms in Supervised and Unsupervised Machine Learning.
You will explore more into deep learning in the domains of Time Series Analysis, Natural language Programming, and Computer Vision.
You will learn the basics of deep neural networks (DNN) and implement the same using TensorFlow and Keras. Further, you will go through Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN).
You will learn more advanced topics and applications of deep learning; Variational Autoencoders, Generative Adversarial Networks (GANs), and Deep Reinforcement Learning.
Someone who is having their Python and Data Science basics covered up can learn this course
The companies like Google, Amazon, Facebook, NVIDIA, Adobe, Microsoft, Uber, and Accenture are hiring skilled AI Engineers with mindboggling salary hikes ( 2 to 3 times the current salaries). They have around 20% positions still vacant. More and more companies are becoming AI ready and thus the number of jobs are also getting increased.
Of course! While studying a course with Learn Digital Academy, you’re assigned a dedicated Program Mentor who not only supports you academically, but also guides you on the most suitable career path. Throughout the course, your Program Mentor will encourage you to finish projects, engage in classes and get the most out of this Course
Classes will be both Online /Offline, Weekday/Weekends as per your Convenience and Comfort.
Always there will be a backup class for every class.
Yes, we Provide TOP Interview Questions and Answers which are frequently asked in interviews, Latest tips and tricks to clear your technical rounds.
Candidate must have at least 80% attendance for each module and should have knowledge of all the modules that has been taught.
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Copyrights © 2021 Learn Digital Academy.
All Rights Reserved. Powered By Webi7
