AI & Deep Learning with TensorFlow Certification Training in Atlanta, GA

    • Learn and get certified in Deep Learning with Tensor Flow from the comfort of your home and transform your career

    • Curated by industry experts, the course will help you master concepts such as SoftMax function, Autoencoder Neural Networks, Restricted Boltzmann Machine (RBM) and work with libraries like Keras & TFLearn

    • 30 hours of Instructor-led AI & Deep Learning Online Classes with Hands-on practice with Cloud Lab

    • We guarantee great value at lowest price in the industry


Live-Virtual Class
  • Attend AI and Deep Learning training from the comfort of your home with a computer
  • Classes are taught in 10 sessions of 3 hours each or 15 sessions of 2 hours each
  • Lifetime access to Learning Management System (LMS) where presentations & class recordings are available
  • Deep Learning Engineer certification based on the project completed during the training
  • 24x7 support for lifetime through ticket based support system
  • 30 Hours of Live Classes taught by experts over online training platform
  • Taught using real life case studies and practicals are performed using Cloud Lab
  • In case you miss a session, you can either attend the missed session in any other live batch or view the recorded session in the LMS
  • Access to community forums for peer interaction and knowledge sharing
Date : Aug 23 Sep 21 (Weekend)
Time : 08:30 PM to 11:30 PM (CDT)
USD 399 349

Filling fast

Aug 23Fri Aug 24Sat Aug 30Fri Aug 31Sat Sep 06Fri Sep 07Sat Sep 13Fri Sep 14Sat Sep 20Fri Sep 21Sat
Date : Sep 21 Oct 20 (Weekend)
Time : 10:00 AM to 01:00 PM (CDT)
USD 399 349
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Description

Encertify's AI and Deep learning with TensorFlow course will make you an expert in training and optimizing basic and convolutional neural networks using real time projects and assignments. You will also master the concepts such as Keras, TFlearn, SoftMax function, Autoencoder Neural Networks, Restricted Boltzmann Machine (RBM).

 

After the completion of this training, you should be able to:

  • Define Deep Learning
  • Express the motivation behind Deep Learning
  • Apply Analytical mathematics on the data
  • Choose between different Deep networks
  • Explain Neural networks
  • Train Neural networks
  • Discuss Backpropagation
  • Describe Autoencoders and varitional Autoencoders
  • Run a Hello World program in TensorFlow
  • Implement different Regression models
  • Describe Convolutional Neural Networks
  • Discuss the application of Convolutional Neural Networks
  • Discuss Recurrent Neural Networks
  • Describe Recursive Neural Tensor Network Theory
  • Implement Recursive Neural Network Model
  • Explain Unsupervised Learning
  • Discuss the applications of Unsupervised Learning
  • Explain Restricted Boltzmann Machine
  • Implement Collaborative Filtering with RBM
  • Define Autoencoders and discuss their Applications
  • Understand Keras Implementation
  • Understand TFlearn implementation

Who should take this AI & Deep Learning with TensorFlow course?

This course is designed for all those who want to learn Deep Leaning which would include understanding of Deep Learning methods, Neural Networks, Deep Learning uses Tensorflow, Restricted Boltzmann Machines (RBM) and Autoencoders.

The following professionals can go for this course:

  • Developers aspiring to be a 'Data Scientist'
  • Analytics Managers who are leading a team of analysts
  • Business Analysts who want to understand Deep Learning (ML) Techniques
  • Information Architects who want to gain expertise in Predictive Analytics
  • Professionals who want to captivate and analyze Big Data
  • Analysts wanting to understand Data Science methodologiesHowever, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.   

Required pre-requisite is basic programming knowledge in Python Concept of Arrays Concepts about Machine Learning. We offer you a complimentary self-paced course on Statistics and Machine learning algorithms Python Essentials.

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Agenda

Topics:

  • Deep Learning: A revolution in Artificial Intelligence
  • Limitations of Machine Learning
  • What is Deep Learning?
  • Advantage of Deep Learning over Machine learning
  • 3 Reasons to go for Deep Learning
  • Real-Life use cases of Deep Learning
  • Review of Machine Learning: Regression, Classification, Clustering, Reinforcement Learning, Underfitting and Overfitting, Optimization

Hands-On 

  • Implementing a Linear Regression model for predicting house prices from Boston dataset
  • Implementing a Logistic Regression model for classifying Customers based on a Automobile purchase dataset
  • How Deep Learning Works?
  • Activation Functions
  • Illustrate Perceptron
  • Training a Perceptron
  • Important Parameters of Perceptron
  • What is TensorFlow?
  • TensorFlow code-basics
  • Graph Visualization
  • Constants, Placeholders, Variables
  • Creating a Model
  • Step by Step - Use-Case Implementation
  • Why Deep Networks
  • Why Deep Networks give better accuracy?
  • Use-Case Implementation on SONAR dataset
  • Understand How Deep Network Works?
  • How Backpropagation Works?
  • Illustrate Forward pass, Backward pass
  • Different variants of Gradient Descent
  • Types of Deep Networks
  • Introduction to CNNs
  • CNNs Application
  • Architecture of a CNN
  • Convolution and Pooling layers in a CNN
  • Understanding and Visualizing a CNN
  • Introduction to RNN Model
  • Application use cases of RNN
  • Modelling sequences
  • Training RNNs with Backpropagation
  • Long Short-Term memory (LSTM)
  • Recursive Neural Tensor Network Theory
  • Recurrent Neural Network Model
  • Restricted Boltzmann Machine
  • Applications of RBM
  • Collaborative Filtering with RBM
  • Introduction to Autoencoders
  • Autoencoders applications
  • Understanding Autoencoders
  • Define Keras
  • How to compose Models in Keras
  • Sequential Composition
  • Functional Composition
  • Predefined Neural Network Layers
  • What is Batch Normalization
  • Saving and Loading a model with Keras
  • Customizing the Training Process
  • Using TensorBoard with Keras
  • Use-Case Implementation with Keras
  • Define TFLearn
  • Composing Models in TFLearn
  • Sequential Composition
  • Functional Composition
  • Predefined Neural Network Layers
  • What is Batch Normalization
  • Saving and Loading a model with TFLearn
  • Customizing the Training Process
  • Using TensorBoard with TFLearn
  • Use-Case Implementation with TFLearn
  • How to approach a project? 
  • Hands-On project implementation
  • What Industry expects?
  • Industry insights for the Machine Learning domain
  • QA and Doubt Clearing Session

Certification & Exam

Towards the end of the course, you will work on a project involving Deep Learning with TensorFlow. On successful completion of the project, you will be certified as "Deep Learning Engineer".

Why Us

Popular

More than 12000 satisfied learners have taken this course on Deep Learning.

We have batches both on weekends and weekdays to accommodate the need of different professionals.

Without compromising on quality, we have priced our AI & Deep Learning with TensorFlow certification courses very competitively. We guarantee that you will find us more economical than any other training provider.

We along with our affiliate partners are dedicated in creating the best quality study materials and student experience across our products. All content complies with quality conformance standards to ensure that our content is the best in class and free of any errors.

Based on years of experience in delivering effective professional training, our courses are designed not only to provide you the Deep Learning certification, but also to empower with best practices. We achieve this by providing a unique blend of concepts, case studies, and simulations that guarantee our students know how to implement Deep Learning concepts in real life.

All our trainers are highly qualified and certified in various industry frameworks. They have years of professional experience in their respective fields and they are not only experts in their domains but are also passionate about sharing their knowledge and expertise with other professionals thereby enriching careers of students.

In case you miss a session because of any reason, you can either attend the missed session in any other live batch or view the recorded session in the LMS.

You get lifetime access to the Learning Management System (LMS). Class recordings and presentations can be viewed online from the LMS.

We are here to ensure you get heard 24/7, and to take care of every single questions and doubts you have. Our dedicated support team will provide you best in class round the clock customer support. Superior customer service is the hallmark of our company and we always go the extra mile to satisfy each of our customers whether an individual or a corporate client.

FREQUENTLY ASKED QUESTIONS


How do I enroll and pay for this course?

Please click on the "ENROLL" button against the course you wish to enroll for. You need to provide your details (Name, Email ID, etc) and pay the course fee.

Payments can be made using global payment gateways such as PayPal and Stripe. Indian customers can pay using CCAvenue or PayUmoney.

You can register and pay for a course online with most of the major Credit or Debit Cards.

Do you provide any group or corporate discounts for this training/course?

Yes, we do offer additional discounts to group and corporate training customers. Please get in touch with us by email ([email protected]) to find out more about our group discount offerings.

Whom do I contact to know more about the training program?

Use the "Drop a query"section in this page or check "Contact Us" section. Alternatively, please send an email to [email protected] to find out more about our course offerings.

Can I switch from Classroom Training to Online Instructor-Led Class or Self-Learning Course, and vice-versa?

We strongly recommended to continue with one mode of training for better learning experience. However, in case situation demands, you can switch mode of training upon availability of respective courses with other training modes. Check with our team well in advance for any change request to avoid logistics and operational inconvenience.

Do you provide discounts to unemployed individuals or students?

If you're between jobs and have been unemployed for last the 6 months, or you're a student taking a course for career growth, we do provide additional discounts for you on selected courses. Please email [email protected] to avail this benefit and discount coupon.

Note: These discounts are available on selected courses, have a limited number and on a first-come-first-serve basis.

Do you provide discounts to Military Veterans?

Yes, we do provide additional discounts for military veterans on selected courses. Please email [email protected] for more details.

Who do we contact after making the payment, if we have not received any confirmation or email on payment and course info?

Firstly, we recommend you to check your spam folder, since the confirmation emails land up in spam sometimes. If you have not received any email on payment confirmation, or respective course details even in your spam folder, please email [email protected] for a quick resolution.

Can I cancel my enrollment and get a refund?

Please refer to the Cancellation Policy and Refund Policy.

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