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BUILDING INTELLIGENT APPLICATIONS WITH AI AND ML - LEVEL 2

Learn Deep Learning concepts and concepts of NLP with this intermediate AI
course.

Most intelligent applications involve using huge quantities of data in various
formats. Deep learning and linguistics are widely becoming a part of intelligent
applications in every field. Natural Language processing is one of the broadly
applied areas of machine learning to effectively analyze massive quantities of
unstructured, text-heavy data. Intelligent applications using NLP include models
that analyze speech and language, uncover contextual patterns, and provide
insights from text and audio.

This course focuses on covering deep learning concepts required to understand
NLP and then focuses on introducing you to the concepts of NLP slowly taking you
to basic and advanced NLP models for text processing, analytics, and building
applications using NLP.

 * Global Knowledge Delivered Course
 * Training Exclusives

 * Live Instructor
   
   LIVE INSTRUCTOR
   
   Experience live expert-led training in person, from your home, office or
   anywhere with an internet connection.

 * Group Training
   
   GROUP TRAINING
   
   Live expert-led training for your team or entire organization that can be
   customized to fit your exact needs.

 * Virtual Classroom Live (5)

Virtual Classroom Live | May 23 - 24, 2024 | 8:30 AM - 4:30 PM EDT | ONLINE
Virtual Classroom Live | May 23 - 24, 2024 | 8:30 AM - 4:30 PM EDT | ONLINE
Virtual Classroom Live | Jun 27 - 28, 2024 | 8:30 AM - 4:30 PM EDT | ONLINE
Virtual Classroom Live | Jul 11 - 12, 2024 | 8:30 AM - 4:30 PM EDT | ONLINE
Virtual Classroom Live | Aug 05 - 06, 2024 | 8:30 AM - 4:30 PM EDT | ONLINE
Virtual Classroom Live | Sep 05 - 06, 2024 | 8:30 AM - 4:30 PM EDT | ONLINE
Start learning as soon as today! Click Add To Cart to continue shopping or Buy
Now to check out immediately.
Access Period:
Scheduling a custom training event for your team is fast and easy! Click here to
get started.

IS THIS THE RIGHT COURSE?

 * Basic familiarity with Python programming.
 * Basic understanding of Data Terminologies.
 * Familiarity with enterprise IT.
 * Foundational knowledge in mathematical concepts like linear algebra and
   probability
 * Basic Linux skills
 * Basic SQL skills
 * Should have attended 'Building Intelligent Applications with Artificial
   Intelligence (AI) and Machine Learning (ML) Level 1

WHO SHOULD ATTEND?

This is an Intermediate-level hands-on course suitable for everyone who wants to
explore the field of Artificial Intelligence (AI) and Machine Learning (ML).
This course covers Deep Learning concepts, Natural Language Understanding and
Natural Language Processing, Text Analytics and identifying customer/user
sentiment in the available data. This is a level 2 course in building your
skills for developing Intelligent applications using Machine Learning and
Artificial Intelligence. Anyone who wants to shift their career to AI and ML and
who attended Level 1 course can attend this course such as

 * Business Analysts
 * Data Analysts
 * Developers
 * Administrators
 * Architects
 * Managers

WHAT YOU'LL LEARN

 * Understand the basics of Deep Learning
 * Understand Convolutional Neural Networks, their architectures and their
   applications.
 * Understand Recurrent Neural Networks, their architectures and their
   applications
 * Understand the basics of Natural Language Processing.
 * Understand various NLP Libraires
 * Understand and perform Text Analytics
 * Apply NLP techniques to predict customer sentiment
 * Dealing with Real-World data

COURSE OUTLINE

 1. Deep Learning Essentials
    
    * Understanding Neural Networks, Artificial Neural Network, Perceptron
      concepts
    * Understanding activation functions and why they are important?
    * Understanding Convolutional Neural Networks
    * CNN Architectures
    * CNN applications
    * Understanding Recurrent Neural Networks
    * RNN Architectures
    * RNN Applications
    * Natural Language Processing
      
      * Foundations of NLP
      * Various NLP Libraries
      * Understand NLP concepts like Morphology, Lemmetization, Stemming,
        Part-of-Speech tagging
      * Understanding Text Analytics
      * Performing Text Analytics with a case study
    * Natural Language Processing with Deep Learning
      
      * Applications of Deep Learning in NLP
      * Deep Learning Libraries for building NLP applications
      * Word Embeddings
      * Identifying Sentiments in Customer Reviews - case study
 2. Advanced NLP Models
    
    * Understand and Differentiate between LSTMs, GRUs, GPT Models
    * Understand Sequence to Sequence Models
    * Understand Attention Models
    * Understand Transformer Models
    * A Deep Dive into Machine Translation using NLP
    * Building a real-world End-End NLP Application
      
      * Data Gathering
      * Data Cleaning and Pre-processing
      * Building and evaluating NLP Models
    * GUI and REST APIs
      
      * Building UI for your Machine Learning Models
      * Building a REST API for your Models

BUY NOW

PREREQUISITES

 * Basic familiarity with Python programming.
 * Basic understanding of Data Terminologies.
 * Familiarity with enterprise IT.
 * Foundational knowledge in mathematical concepts like linear algebra and
   probability
 * Basic Linux skills
 * Basic SQL skills
 * Should have attended 'Building Intelligent Applications with Artificial
   Intelligence (AI) and Machine Learning (ML) Level 1

 * Building Intelligent Applications with AI and ML - Level 1

$1950
GK# 821537 Vendor# AI/ML Level 2
Vendor Credits:

Your Selections:
Virtual Classroom Live
2 Days: May 23 - May 24
8:30 AM - 4:30 PM EDT
Location: ONLINE
Access Period:
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