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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 the 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. Learn Digital Academy is also concerned to provide AI Training In Bangalore since 2017 by awarded agency based industry experts
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 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 in September 2020.
Someone who is having their Python and Data Science basics covered up can learn this course
6 months (200 hours)
Jain University
♦ Artificial Intelligence
♦ Machine Learning
♦ Deep Learning
♦ The Promise of AI
♦ Linear Algebra
• Vector and Matrix Operations
♦ Introduction to Probability
• Probability and Sets
• Conditional Probability and the Bayes Rule
• Random Variable and Probability Distributions
♦ Information Theory
♦ Differential Calculus
♦ Perceptrons
♦ Multi-Layer Perceptrons
♦ Activation Functions
♦ Feed Forward Process
♦ Error Functions
♦ Optimization Algorithms
♦ Backpropagation
♦ CNN Architecture
♦ Convolutional Layers
♦ Pooling layers and Subsampling
♦ Fully Connected Layer
♦ Image Classification with CNN
♦ Adding Dropout Layers to avoid Overfitting
♦ Transfer Learning
Style Transfer
♦ Sequential Memory and Sequential Modelling
♦ Back Propagation
♦ Vanishing Gradient Problem
♦ Long-Short Term Memory (LSTM)
♦ Gradient Recurrent Unit (GRU)
♦ Bidirectional RNN
♦ Stateful RNN
♦ What is GAN?
♦ DCGAN
♦ SRGAN
♦ CycleGAN
♦ InfoGAN
♦ Word Embedding
♦ Distributed Representations
♦ Neural Embedding
♦ RNN Topologies
♦ Encoder-Decoder Architecture
♦ Attention Mechanism
♦ Transformer Architect
♦ Using CNN for Sentiment Analysis
♦ Using an Attention Mechanism to Make Feed Forward Networks More Time-Aware
♦ CNN for Time Series
♦ RNN for Time Series
♦ Autoencoders
♦ Combination Architectures
♦ Introduction to RL
♦ Introduction to Open AI Gym
♦ Deep Q Networks
♦ Deep Deterministic Policy Gradient
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 explore more into deep learning in the domains of Time Series Analysis, Natural language Programming, and Computer Vision.
You will learn more advanced topics and applications of deep learning; Variational Autoencoders, Generative Adversarial Networks (GANs), and Deep Reinforcement Learning.
Artificial intelligence (AI) promises to deliver some of the most significant and disruptive innovations of this century. Self-driving cars, robotic assistants, and automated disease diagnosis are all products of an emerging AI revolution that will reshape how we live and work.
You can be an AI Engineer in any of the following domains and more:
• Retail
• Construction
• Supply Chain Management
• Business Intelligence
• Information Technology
• Education
• Transportation
• Manufacturing
• Healthcare
• Cyber Security
• Cryptocurrency
Artificial Intelligence is one of the fastest-growing technology in different sectors of our life. Having so wide usage, multiple industry sectors require skilled AI engineers. So regardless of which industry you are in, AI is the skill you should acquire.
Our Diploma program is exclusive and the university certificate is proof that you have taken a huge leap in mastering the course.
The knowledge and skills you’ve gained working on projects, simulations, case studies will set you ahead of the competition.
Talk about it on LinkedIn, Twitter, Facebook, boost your resume, or frame it – tell your friends and colleagues about it.
Anyone who is looking to get a job in any of the vast domains that uses Python as programming Language.
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.
Python is known as the beginner’s language. Because it is similar to English, it is easier to learn than many other languages out there. It has better readability and most of the concepts can be written with lesser line of codes than other languages.
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.
Copyrights © 2021 Learn Digital Academy. All Rights Reserved. Powered By Webi7
Copyrights © 2021 Learn Digital Academy.
All Rights Reserved. Powered By Webi7
