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Home / Courses / Artificial Intelligence / Advanced Artificial Intelligence Certification

Advanced Artificial Intelligence Certification in Atlanta, GA

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[Rate this training]
    • Learn and get certified as Artificial Intelligence Engineer from the comfort of your home       

    • Unleash the power of Artificial Intelligence and accelerate your career

    • Curated by the industry experts after extensive research to meet the latest industry requirements and demands

    • Attend 30 hours of an instructor-led Advanced Artificial Intelligence training program

    • Makes you industry-ready and help you to kickstart your career in Artificial Intelligence domain

  • Training Delivery
  • Skill Level
  • Enrolled 18805 students
35 students
  • Courses & Enrollment
  • Overview
  • Course Agenda
  • Certification & Exam
  • Why Us
  • FAQs
Online Self-Learning

Online self-learning courses are currently not available.


Please email [email protected] to enquire for more information.

Advanced Artificial Intelligence Course Overview

Artificial intelligence (AI) certification is becoming increasingly valuable in today's job market, as businesses across all industries are looking to integrate AI technology into their operations. By obtaining an Artificial intelligence certification, you can demonstrate to potential employers that you possess the skills and knowledge necessary to work with Artificial intelligence. This can help you stand out from other candidates.

Encertify's Advanced Artificial Intelligence certification course helps you master essentials of text processing and classifying texts along with important concepts such as Tokenization, POS tagging, Stemming, Lemmatization, and many more. The course is a well researched amalgamation of Natural Language Processing (NLP) and Deep Learning, specifically designed for professionals and beginners to meet the industry standards. 

The Advanced Artificial Intelligence certification course gives you an in-depth understanding of Tokenization, Stemming, Lemmatization, POS tagging, Named Entity Recognition, Syntax Tree Parsing using Python’s NLTK package, RCNN, RNN, LSTM, CNN, RBM, and their implementation using TensorFlow 2.0 package. You will also be able to learn to perform image pre-processing, image classification, transfer learning, object detection, computer vision and be able implement popular algorithms like CNN, RCNN, RNN, LSTM, RBM using the latest TensorFlow 2.0 package in Python.

The main focus of Encertify's Advanced Artificial Intelligence Course is to enable you to move ahead in your career by helping you get skilled with the fundamentals of AI. 

Who should take up the Advanced Artificial Intelligence Certification Course?

The Advanced Artificial Intelligence certification course is suitable for anyone who wants to stay up-to-date with the latest advances in AI and wants to build the skills needed to develop and deploy intelligent systems.

This course will be ideal for the following professionals.

  • Freshers
  • Python Developers
  • Researchers
  • Data Scientists
  • Data Analysts
  • Machine Learning Engineers
  • NLP Engineers
  • Software Testers
  • Software Developers

What are the prerequisites for taking the Advanced Artificial Intelligence Course?

It will be helpful to have prior knowledge of Python and Machine Learning (ML); however, it is not at all mandatory. To enable you to refresh your skills in Python and ML, we will provide self-paced videos free as prerequisites in your LMS.

What will you learn after taking the Advanced Artificial Intelligence Certification Course?

The course focuses on providing hands-on experience to make you ready for any AI related opportunity. Further, you will learn the fundamentals of Natural Language Processing (NLP), sentiment analysis, language translation, text summarization, deep learning, convolutional neural networks, recurrent neural networks, and autoencoders. You will also work with the OpenCV library, object detection, image segmentation, and image classification along with various real-life projects.

Are there any system requirements for the Advanced Artificial Intelligence Certification Course?

Following are the system requirements needed for taking the course:

  • A system with an Intel i3 processor or above
  • A minimum of 4GB RAM (8GB or above is recommended for faster processing)
  • 50 GB HDD Storage
  • Operating system: 32-bit or 64-bit

How are practicals executed in the Advanced Artificial Intelligence Course? 

You will complete your Assignments/Case Studies using Python Jupyter Notebook/Google Colab. Detailed step-by-step installation guides are made available on the LMS. In case you come across any doubt, the 24*7 support team will promptly assist you.
 

Drop a Query

Advanced Artificial Intelligence Certification Course Topics

Introduction to Text Mining and NLP  
  • Overview of Text Mining
  • Need of Text Mining
  • Natural Language Processing (NLP) in Text Mining
  • Applications of Text Mining
  • OS Module
  • Reading, Writing to text and word files
  • Setting the NLTK Environment
  • Accessing the NLTK Corpora
Extracting, Cleaning and Pre-processing Text  
  • Tokenization
  • Frequency Distribution
  • Different Types of Tokenizers
  • Bigrams, Trigrams & Ngrams
  • Stemming
  • Lemmatization
  • Stopwords
  • POS Tagging
  • Named Entity Recognition
Analyzing Sentence Structure  
  • Syntax Trees
  • Chunking
  • Chinking
  • Context Free Grammars (CFG)
  • Automating Text Paraphrasing
Text Classification-I               
  • Machine Learning: Brush Up
  • Bag of Words
  • Count Vectorizer
  • Term Frequency (TF)
  • Inverse Document Frequency (IDF)
Introduction to Deep Learning  
  • What is Deep Learning?
  • Curse of Dimensionality
  • Machine Learning vs. Deep Learning
  • Use cases of Deep Learning
  • Human Brain vs. Neural Network
  • What is Perceptron?
  • Learning Rate
  • Epoch
  • Batch Size
  • Activation Function
  • Single Layer Perceptron
Getting Started with TensorFlow 2.0  
  • Introduction to TensorFlow 2.x
  • Installing TensorFlow 2.x
  • Defining Sequence model layers
  • Activation Function
  • Layer Types
  • Model Compilation
  • Model Optimizer
  • Model Loss Function
  • Model Training
  • Digit Classification using Simple Neural Network in TensorFlow 2.x
  • Improving the model
  • Adding Hidden Layer
  • Adding Dropout
  • Using Adam Optimizer
Convolution Neural Network  
  • Image Classification Example
  • What is Convolution
  • Convolutional Layer Network
  • Convolutional Layer
  • Filtering
  • ReLU Layer
  • Pooling
  • Data Flattening
  • Fully Connected Layer
  • Predicting a cat or a dog
  • Saving and Loading a Model
  • Face Detection using OpenCV
Regional CNN  
  • Regional-CNN
  • Selective Search Algorithm
  • Bounding Box Regression
  • SVM in RCNN
  • Pre-trained Model
  • Model Accuracy
  • Model Inference Time
  • Model Size Comparison
  • Transfer Learning
  • Object Detection – Evaluation
  • mAP
  • IoU
  • RCNN – Speed Bottleneck
  • Fast R-CNN
  • RoI Pooling
  • Fast R-CNN – Speed Bottleneck
  • Faster R-CNN
  • Feature Pyramid Network (FPN)
  • Regional Proposal Network (RPN)
  • Mask R-CNN
Boltzmann Machine & Autoencoder  
  • What is Boltzmann Machine (BM)?
  • Identify the issues with BM
  • Why did RBM come into the picture?
  • Step-by-step implementation of RBM
  • Distribution of Boltzmann Machine
  • Understanding Autoencoders
  • Architecture of Autoencoders
  • Brief on types of Autoencoders
  • Applications of Autoencoders
Generative Adversarial Network (GAN)  
  • Which Face is Fake?
  • Understanding GAN
  • What is Generative Adversarial Network?
  • How does GAN work?
  • Step by step Generative Adversarial Network implementation
  • Types of GAN
  • Recent Advances: GAN
Emotion and Gender Detection (Self-paced)  
  • Where do we use Emotion and Gender Detection?
  • How does it work?
  • Emotion Detection architecture
  • Face/Emotion detection using Haar Cascade
  • Implementation on Colab
Introduction to RNN and GRU (Self-paced)  
  • Issues with Feed Forward Network
  • Recurrent Neural Network (RNN)
  • Architecture of RNN
  • Calculation in RNN
  • Backpropagation and Loss calculation
  • Applications of RNN
  • Vanishing Gradient
  • Exploding Gradient
  • What is GRU?
  • Components of GRU
  • Update gate
  • Reset gate
  • Current memory content
  • Final memory at current time step
LSTM (Self-paced)  
  • What is LSTM?
  • Structure of LSTM
  • Forget Gate
  • Input Gate
  • Output Gate
  • LSTM architecture
  • Types of Sequence-Based Model
  • Sequence Prediction
  • Sequence Classification
  • Sequence Generation
  • Types of LSTM
  • Vanilla LSTM
  • Stacked LSTM
  • CNN LSTM
  • Bidirectional LSTM
  • How to increase the efficiency of the model?
  • Backpropagation through time
  • Workflow of BPTT
Auto Image Captioning Using CNN LSTM (Self-paced)  
  • Auto Image Captioning
  • COCO dataset
  • Pre-trained model
  • Inception V3 model
  • The architecture of Inception V3
  • Modify the last layer of a pre-trained model
  • Freeze model
  • CNN for image processing
  • LSTM or text processing
Developing a Criminal Identification and Detection Application Using OpenCV (Self-paced)  
  • Why is OpenCV used?
  • What is OpenCV
  • Applications
  • Demo: Build a Criminal Identification and Detection App
TensorFlow for Deployment (Self-paced)  
  • Use Case: Amazon’s Virtual Try-Out Room.
  • Why Deploy models?
  • Model Deployment: Intuit AI models
  • Model Deployment: Instagram’s Image Classification Models
  • What is Model Deployment
  • Types of Model Deployment Techniques
  • TensorFlow Serving
  • Browser-based Models
  • What is TensorFlow Serving?
  • What are Servables?
  • Demo: Deploy the Model in Practice using TensorFlow Serving
  • Introduction to Browser based Models
  • Demo: Deploy a Deep Learning Model in your Browser.
Text Classification-II (Self-paced)  
  • Converting text to features and labels
  • Multinomial Naive Bayes Classifier
  • Leveraging Confusion Matrix
In Class Project (Self-paced)  
  • Sentiment Classification on Movie Rating Dataset

Advanced Artificial Intelligence Certification & Exam

Towards the end of the course, you will work on a project. On successful completion of the project, you will be certified as an "Artificial Intelligence Engineer".

 

1.    Why do you need to take the Advanced Artificial Intelligence Course?

Ans: Artificial intelligence forms the basis for all computer learning, allows organizations to improve core business processes and is the future of all complex decision making. The best way to land you a good job with a handsome salary in this domain is to get Artificial intelligence (AI) Certification. AI certification is becoming increasingly valuable in today's job market, as businesses across all industries are seeking to integrate AI technology into their operations. Obtaining an AI certification can demonstrate to potential employers that you possess the skills and knowledge necessary to work with AI and can help you stand out from other candidates.

2.    What are the benefits of taking Encertify’s Advanced Artificial Intelligence Certification course?

Ans: Following are some potential benefits of obtaining an AI certification: 

Demonstrates expertise: An AI certification helps to demonstrate your proficiency in a specific area of AI technology, such as machine learning or natural language processing. 

Increased job opportunities: Having an AI certification can offer job opportunities that require knowledge of AI technology. This can include jobs in data analysis, software development, and other technical roles. 

Higher salary potential: In general, individuals with specialized technical skills, such as AI, can command higher salaries than those without such skills. An AI certification can help increase your earning potential. 

Competitive advantage: An AI certification can help you stand out from other candidates when applying for jobs or pursuing business opportunities. 

Professional development: Pursuing an AI certification can help you continue to learn and grow in your field, keeping you up-to-date with the latest technology and trends. 

Overall, obtaining an AI certification will be a valuable investment in your career and help you stay competitive in the rapidly evolving job market.

Why Choose Us

Popular
 

More than 800 satisfied learners have taken this course on Advanced Artificial Intelligence certification.

Convenient Schedule

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

Low Cost

Without compromising on quality, we have priced our Advanced Artificial Intelligence certification courses very competitively. We guarantee that you will find us more economical than any other training provider.

Unmatched Quality

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.

Course Design

Based on years of experience in delivering effective professional training, our courses are designed not only to provide you the Advanced Artificial Intelligence certification, but also to empower you 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 Artificial Intelligence concepts in real life.

Trainers

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.

Lifetime Access

You get lifetime access to the Learning Management System (LMS). 

Customer Satisfaction

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.

Advanced Artificial Intelligence Training Frequently Asked Questions

What all is covered in the 1 day orientation class?

The orientation class is a preparatory session which gives a basic overview of the course and also guides the learners about any software/license installation required for the course. This will prepare you for the actual class, which will start the next week. Attending the orientation class is optional.

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, Stripe or PayUmoney. You can register and pay for a course online with most of the globally accepted 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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