Deep Learning Career Transition Program
Become a Deep Learning Engineer who can work from designing Deep Learning Solution Architecture like Feed Forward Networks, CNN's, Computer Vision Problems, Video Analytics, Audio Recognition Algorithms using LSTM's. etc. Build Deep Learning Solutions with Deployment.
Co-Developed by Senior AI Engineers
700+
11Lac - 47Lac
Online
3 Months
Learners
Avg. Salary/annum
Mode of Learning
Learning Duration
Industry Specific Projects
15+ Real Life Projects while learning
Live projects going to be provided based on your current experience & industry.
Get eligibility to collect internship certificate for 4Months
2 Hackathon's on DL
Connect with Trainer's 24x7 help
Build one POC(Proof of Concept) from specific industry with complete solution with deployment
We believe in connecting our trainers with students via whatsapp, linkedin and instagram.
3+ Live Projects Demonstration
Starting from neural network architecture design choosing right activation function, right loss function, optimiser and choosing around GPU's etc upto deployment.
No Cost EMI
No need to worry about payment, we got you No cost EMI option. Start now!
MOVE
AS A
DL
ENGINEER
Tools Covered
Data Scientist must be flexible with tools and coding.
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Lead Instructor
Mr. Kanth
Data Scientist | Consultant | Podcaster | Youtuber | Mentor
Mr. Kanth is a Data Scientist and Six Sigma Certified. He is a Data Science Consultant for various Top-MNC's like Nokia, EY, Cognizant, BMW etc. He delivered end-to-end AI Solutions using Machine Learning and Deep Learning on Embedded Devices. Built various AI Solutions which impacted financial gains and human effort reduction.
Mr. Kanth is an Orator & Mentor delivered AI, Machine Learning, Deep Learning, IOT, Industry 4.0 & Digital Twin Customised Training Programs across Dubai, Malaysia, Singapore, South Africa, Sudan etc. He delivered more than 100+ trainings on both sides like client side and vendor side.
Program Syllabus
Best in industry career transition based syllabus built by Senior AI Engineers which helps learners to build knowledge from zero level to real time working confidence on Deep Learning Projects.
Program Syllabus
INTRODUCTION TO DEEP LEARNING & FEED FORWARD
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Feed Forward Neural Network
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Different Optimizer
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Different FFN - Archt
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Hidden Layers
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How inforamtion is flowing from one neuron to another neuron
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Different Activation Function
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Different Loss Function
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Back - Propagation
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Building Feed Forward Neural Net
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Assignmnet on FFN
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Evaluation of FFNN
DEEP DIVE INTO COMPUTER VISION
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Architecture of CNN
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Padding
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Strides
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Conv layer, Max Polling,
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Maths in Convolution Neural Network
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Diff conv matrix to choose
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Diff max pooling sizes to choose
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Different filter matrix in Conv
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2-d image features are extracted
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3-d feature extracted
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Which activation to use in different layers of CNN
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What is FC - Fully connected layer
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VGGNEt, Stylnet, Lenet
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Using double conv layer
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How we see an output in CNN, Argmax
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Assigmnet
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Emotion Detection - Project 1
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Project - 2 - Different Garbage classification
DEEP DIVE INTO VOICE RECOGNITION
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Why RNN
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Purpose of Tanh in RNN
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Various Gates in RNN
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Limitation of RNN
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Build a model on RNN Network, songs or we use voices, NLP
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LSTM's
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Arch of LSTM Cell
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Gates inside LSTM
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Building a network with LSTM for Sequential Prediction - Voice Prediction
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Bidirectional LSTM's
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Try to submit a document - How RNNS can be used for Self-Driving Car
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Project on LSTM - NLP /Voice
UNSUPERVISED DEEP LEARNING USING AUTOENCODERS
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DeConv Autoencoders
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Sparse Autoencoders
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Encoding and Decoding
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Autoencoders for DR
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Project - Blurred images and need to convert them into HD Images
DEEP DIVE INTO GENETIC ALGORITHMS
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Gene
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Parent
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Child
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Mutation
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Genetic Algorithm
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Project - 1: Improving the model accuracy of an algorithm - FFNN by using different child's of GA
STOCHASTIC MODELS USING HMM'S
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Stochastic Mechanism
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Probab of Events
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Why Markov Chains
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Limiataion of Markov Chain
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Project : 1 NLP Text Mining
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Why HMM?
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Prupose of HMM
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Predicting the current event based on it's subevent
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Predicting under closed state
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Study: How Google Search Engine is working based on HMM
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Study2 : How HMM Can be used for Self - Driving cars in Path planning & Localization
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Project:1 HMM
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Tensorflow Deployement
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Tensorflow Parallel processing
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Tensorflow Weight Saving
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Weights importing
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Tensorboard
"I'm a Project Manger with 15+ years of experience in BFSI. I'm impressed with projects they provided and articulated my CV and detailing of every topic as a project manager to master like pitching, CBA, ML Design etc are greatly nailed by Mr.Kanth"
Debashish - 42LPA
Avg. 10+ Career Transitions Every
Month
Every month we are making our students and participants from different backgrounds and different learning formats we're making them to get placed. We fix every block and hurdle to make your career transition.
Our Alumni Working At
Q & A Session from Recently Placed Participants:
We're trying all the possible ways to make your career transition more simplified with Q & A Session from recently placed participants, to build great exposure towards real-time interviews and how every learner need to prepare for their program as well as for their interviews. We host Q & A Sessions from different learners who got placed recently.
Q & A Sessions helping every learner to crack their Data Science Interviews or AI Interviews with a more simplified approach.