Deep Learning and Artificial Intelligence (AI)
- Avail ExcelR's JUMBO PASS (Limited Period Offer)
- World class training from working AI experts / AI researchers
- Programs Tailored to Suite the Industries / Sectors / Domains of the Participants
- Learn Python Libraries including TensorFlow, Keras, OpenCV
- 10+ Neural Network Architectures explained in detail using Real-Life Case Studies
- 220 Hours of Training including Assignments and Industry Projects
- Extensive coverage on Machine Learning,Deep Learning
- Enable you to compete in real kaggle competitions
You May Have Heard About Offers, But Have You Heard Of ExcelR's JUMBO PASS? Well, Here's Your Chance To Avail The JUMBO PASS!! Watch The video
Course Description
Deep Learning & Artificial Intelligence (AI) Training
Artificial Intelligence (AI) is the big thing in the technology field and a large number of organizations are implementing AI and the demand for professionals in AI is growing at an amazing speed. Artificial Intelligence (AI) course with ExcelR will provide a wide understanding of the concepts of Artificial Intelligence (AI) to make computer programs to solve problems and achieve goals in the world.
What is Artificial Intelligence (AI) ?
Artificial Intelligence (AI) makes computers to perform tasks such as speech recognition, decision-making and visual perception which normally requires human intelligence that aims to develop intelligent machines.
The basic grounding in the ExcelR’s practices in AI is likely to become valuable in the field of business, and profession. This course is intended to cover the concepts of Artificial Intelligence (AI) from the basics to advanced implementation.
What are the course objectives?
Artificial Intelligence (AI) is becoming smarter day by day in all business functions to elevate performances. AI is used widely in gaming, media, finance, robotics, quantum science, autonomous vehicles, and medical diagnosis. AI technology is a crucial prerequisite of much of the digital transformation taking place today as organizations position themselves to capitalize on the ever-growing amount of data being generated and collected.
To build a successful career in Artificial Intelligence, this course is intended to give a complete understanding of Artificial Intelligence concepts. This course offers you get practical, hands-on experience to ensure hassle-free execution of real-life projects. This AI course leverages world-class industry expertise in making you professional data scienceexperts.
ExcelR familiarises you with the basic terminologies, problem-solving, and learning methods of AI and also discuss the impact of AI
What skills will you learn?
In this Artificial Intelligence (AI) course, you will be able to
- Understand the basics of AI and how these technologies are re-defining the AI industry
- Learn the key terminology used in AI space
- Learn major applications of AI through use cases
Who should take this course?/h2>
ExcelR’s course on Artificial Intelligence (AI) gives you the basic knowledge of Artificial Intelligence. This course doesn’t need any programming skills and best suited for:
- Well-suited for management and non-technical participants
- Students who want to learn Artificial Intelligence
Newbies who are not familiar with AI or its implications
Course Curriculum
Module 1 - Introduction to Machine Learning
Basic Concept
- Train,Test & Validation Distribution
- ML Strategy
- Computation Graph
- Evaluation Metric
- Human Level Performance
Module 2 - Machine Learning
Supervised
- Linear Regression
- Logistic Regression
- Gradient Descent
- Decision Tree
- Random Forest
- Bagging & Boosting
- KNN
Module 3 - Python Programming
Python
- Basic Programming
- NLP Libraries
- OpenCV
Module 4 - Mathematics Foundation
Basic Statistics
- Sampling & Sampling Statistics
- Hypothesis Testing
Calculus
- Derivatives
- Optimization
Linear Algebra
- Function
- Scalar-Vector-Matrix
- Vector Operation
Probability
- Space
- Probability
- Distribution
Module 5 - Intro to Neural Network & Deep Learning
Introduction
- Intro
- Deep Learning Importance [Strength & Limiltation]
- SP | MLP
Feed Forward & Backward Propagation
- Neural Network Overview
- Neural Network Representation
- Activation Function
- Loss Function
- Importance of Non-linear Activation Function
- Gradient Descent for Neural Network
Module 6 - Parameter & Hyperparameter
Practical Aspect
- Train, Test & Validation Set
- Vanishing & Exploding Gradient
- Dropout
- Regularization
Optimization
- Bias Correction
- RMS Prop
- Adam,Ada,AdaBoost
- Learning Rate
- Tuning
- Softmax
Module 7 - Data Processing
Environment
- Scikit Learn
- NLTK
- Spacy & Gensim
- OpenCV
- Tensorflow
- Keras
Text Processing
- Representation
- Data Cleaning
- Data Preprocessing
- Similarity
Image Processing
- Image
- Image Transformation
- Filters
- Noise Removal
- Correlation & Convolution
- Edge Detection
- Non Maximum Suppression & Hysterisis
- Fourier Domain
- Video Processing
Speech Data Analytics
Feature Extraction
- Image Feature
- Descriptors
Object Detection
- Detection & Classification
Module 8 - CNN
CNN
- Computer Vision
- Padding
- Convolution
- Pooling
- Why Convolution
Deep Convolution Model
- Case Studies
- Classic Networks
- Inception
- Open Source Implementation
- Transfer Learning
Detection Algorithm
- Object Localization
- Landmark Detection
- Object Detection
- Bounding Box Prediction
- Yolo
Face Recognition
- What is Face Recognition
- One Shot Learning
- Siamese Network
- Triplet Loss
- Face Verification
- Neural Style Transfer
- Deep Conv Net Learning
Module 9 - RNN
- Why Sequence Model
- RNN Model
- Backpropogation through time
- Different Type of RNNs
- GRU
- LSTM
- Biderectional LSTM
- Deep RNN
- Word Embedding
- Debiasing
- Negative Sampling
- Elmo & Bert
- Beam Search
- Attention Model
Module 10 - Generative Adversial Network
- Autoencoders & Decoders
- Adversial Network
- Active Learning
Module 11 - Reinforcement Learning
- Q Learning
- Exploration & Exploitation
Module 12 - Assignments
Introduction to Machine Learning
- Business Case evaluation
- Data requirements and collection
- Evaluation metrics
Machine Learning
- Profit of 50_startups data prediction
- Extra marital affair prediction
- Fraud data analytics
- Fabric sales analysis
- Classification of animals data
- Crime data analysis using clustering method and airlines data to obtain optimum number of clusters.
Python Programming
- Resource Information Analysis
- Text Cleaning of Customer reviews using NLP
- Image Manipulation (Loading, Rotation etc.)
Mathematics Foundation
- Sampling & Sampling Statistics
- Hypothesis Testing
- Calculus Problems
- Linear Algebra Problems
- Probability Problems
Intro to Neural Network & Deep Learning
Parameter & Hyperparameter
- Risk Evaluation
- Prediction of claim amount
- Emotor temp prediction
- User Behavioural Pattern
(2 ANN assignments+ 2 Parameter and hyperparameters)
Data Processing
- User review data load and familiriaty with data and environment
- E commerce Product Similarity
- Sentiment classification of movie reviews
- Emotion Mining of user reviews"
- Vehicle edge detection
- Cleaning of hand-written digits data
- Image data Augumentation
- Facial feature detection
- Image data wrangling for classification
- Video Analysis of a short film
- Speech data Analysis w.r.t emotion
CNN
- Ecommerce product image classification
- Disease prediction based on images
(2 CNN algorithms)
- Vehicle identification(Object Detection)
- Animal Classification(Object Classification)
- Spatial Image classification (Image segmentation)
- Face detection
- Face recognition (Attendance using facial recognition)
RNN
- Next word prediction (Vanilla RNN)
- Twitter data analysis using Named Entity Recognition(NER)
- Retail data - Word2vec
- NER and Forecasting of Oil price prediction
- Auto text composer (NER language model)
- Auto text composer (NER language model)
- Q and A Chatbot
- Real life voice Recognition
Generative
- Machine Translation
- New Image generation based on existing images
Reinforcement Learning
- Game Intelligence
Module 13 - Projects
1.Chatbot project
- Build end to end chatbot right from data storage schema to final output for a domain
2.Emotion Analytics
- Identifying and analyzing the full spectrum of human emotions including mood, attitude and emotional personality.
3.Object Detection
- Detection of objects in images
4.Face detection from CC camera feed
- Analysis of video feed from CC cameras
Contact Our Team of Experts
Why ExcelR?
Testimonials
FAQs
What Is JUMBO PASS?
- The all new and exclusive JUMBO PASS is the latest initiative taken by ExcelR to offer you access to attend unlimited batches over the duration of 365 days. You will be able to attend unlimited number of classes for the course of your choice.
What is Artificial Intelligence?
- It is the scienceof developing intelligent computer programs which can understand human intelligence.Automating the tasks by applying predictive modelling and machine learning algorithms is called as Artificial Intelligence(AI).
What is intelligence?
- Intelligence is the computational part of the ability to achieve goals in the world.
What are the career opportunities of Artificial Intelligence?
- Becoming AI expert is the most logical move for people working on sata or Related work. One can choose to be a data modelle, ML expert,Data Scientist,etc., By learning AI & DL.
What are prerequsities for the course?
- Basic knowledge of mathematics, programming concepts and a sense of curiosity and willingness to learn AI.
What are the modes of training for this course?
We offer this course in the below formats:
- Live Virtual / Online Classroom
- Online Self-Learning
- Classroom Training
What if I miss a class?
- We arrange for recordings of each session you appear for your reference.
Is there any group discount offered for classroom training?
- Yes, for our online training programs we do offer group discounts. For further details, please reach out us: enquiry@excelr.com
What are the available payment options?
Available payment options: (to be filled)
- Net Banking
- Debit card
- Cheque
What Programming languages and libraries will I learn as part of this AI training?
- Participants will learn majorly about Python and introduction to R programming in accomplising Artificial Neural Network Deep Learning algorithm. Python deep learning libraries including TensorFlow, Keras and Computer Vision, Image Processing Python library OpenCV will be explained practically while working on Deep Learning Neural Network architectures.
What are the various neural network deep learning architecture we are going on learn?
- Participants will start by learning about Artificial Neural Network (ANN) and Multi-Layered Perceptron (MLP). This is followed by Convolution Neural Network (CNN), Recurrent Neural Network (RNN), Long-Short Term Memory (LSTM), Gated Recurrent Units (GRU), Generative Adversarial Network (GAN), Autoencoders, Restricted Boltzmann Machine (RBM) and many other variants. For further details please go through the Course curriculum
Will we be doing use-cases, case studies, mini-projects on images and videos?
- Major portion of the training will focus on computer vision, image processing using OpenCV, which is de facto library for dealing with images. Also we will work on CNN, RNN-CNN variants to built prediction models for image and video problems
What Is Instructor-Led Online Training?
- Instructor-led online training is an interactive mode of training where you and the trainer will log in at the same time and live sessions will be done virtually. These sessions will provide scope for active interaction between you and the trainer.
How Many Batches Can I Attend, If Enrolled For Training?
- ExcelR offers a blended model of learning. In this model, you can attend classroom, instructor-led live online and e-learning (recorded sessions) with a single enrolment. A combination of these 3 will produce a synergistic impact on the learning. You can attend multiple Instructor-led live online sessions for one year from different trainers at no additional cost with the all new and exclusive JUMBO PASS.
Is This A Live Training Or Recorded Sessions?
- It is a live instructor-led interactive session which is done at a specific time where you and the trainer will log in at the same time. The same session will be also recorded and access will be provided to revise, recap or watch any missed session.
What If I Miss A Live Session?
- Not a problem even if you miss a live Deep Learning and Artificial Intelligence session for some reason. Every session will be recorded and access will be given to all the videos on ExcelR’s state-of-the-art Learning Management System (LMS). You can watch the recorded Deep Learning and Artificial Intelligence sessions at your own pace and convenience.
Will I Get A Deep Learning and Artificial Intelligence Course Completion Certification From ExcelR?
- Yes, after successfully completing the course you will be awarded a course completion certificate from ExcelR.
Whom Should I Contact If I Want More Information About The Training?
- You can reach out to us by visiting our website and interact with our live chat support team. Our customer service representatives will assist you with all your queries. You can also send us an email at enquiry@excelr.com with your query and our Subject Matter Experts / Sales Team will clarify your queries or call us on 1800-212-2121 (Toll-Free number – India), +1(281) 971-3065 (USA), 800 800 9706 (India), 203-514-6638 (United Kingdom), 128-520-3240 (Australia).
What Are The Different Modes Of Payment Available?
- The different payment methods accepted by us are
- Cash
- Net Banking
- Cheque
- Debit Card
- Credit Card
- PayPal
- Visa
- Mastercard
- American Express
- Discover
Global Presence
ExcelR is a training and consulting firm with its global headquarters in Houston, Texas, USA. Alongside to catering to the tailored needs of students, professionals, corporates and educational institutions across multiple locations, ExcelR opened its offices in multiple strategic locations such as Australia, Malaysia for the ASEAN market, Canada, UK, Romania taking into account the Eastern Europe and South Africa. In addition to these offices, ExcelR believes in building and nurturing future entrepreneurs through its Franchise verticals and hence has awarded in excess of 30 franchises across the globe. This ensures that our quality education and related services reach out to all corners of the world. Furthermore, this resonates with our global strategy of catering to the needs of bridging the gap between the industry and academia globally.
