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.

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

Daha fazla +

Bu eğitimi kendi kurumunuzda planlayabilirsiniz.

Önkoşullar

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

Daha fazla +

Neler Öğreneceksiniz

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

Daha fazla +

Outline

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
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

Daha fazla +

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Diğer

IT departmanınızda kaç kişi çalışıyor?

0 – 50

50 – 250

250 – 1000

1000+

Building Intelligent Applications with AI and ML - Level 2 Eğitimi Azerbaycan

Kardeş ülke Azerbaycan (resmi adıyla Azerbaycan Cumhuriyeti) Kafkasya’da, Güney Kafkas Dağları bölgesinde bulunmaktadır. Çok zengin bir kültüren mirasa sahip olan Azerbaycan’ın, Hazar Denizi, Rusya, Gürcistan, Ermenistan ve İran gibi sınır komşuları vardır. Kafkasya’nın en büyük yüzölçümlü ülkesi olan Azerbaycan’da harika bir doğa çeşitliliği mevcut olup, hayvan yaşamının zenginliği de dikkat çekicidir. Üniter bir devlet olan Azerbaycan’ın Cumhurbaşkanı İlham Aliyev, resmi dili Azerice’dir.

Farsça Azar (Ateş) ve Payegan (Muhafız) kelimelerinin birlikteliğinden adını alan Azerbaycan Ateşler Ülkesi olarak da bilinmektedir. Bakü’de bulunan Flame Towers ülkenin en turistik yerlerinden biridir. Ülkede çok sayıda yanardağ ve petrol yatağı bulunmaktadır. Azerbaycan’ın mutlaka görülmesi gereken yerleri arasında Bakü’deki Alev Kuleleri, Kız Kalesi, Ateşgah, Targovi Caddesi ve Bakü Bulvarı’nın yanı sıra farklı şehirlerdeki Şeki Hanları Sarayı, Kobustan Milli Parkı, Han Bağı, Kebele ve Göygöl Milli Parkı sayılabilir.

Azerbaycan Building Intelligent Applications with AI and ML - Level 2 Eğitimi

Is This The Right Course?

Who Should Attend?

Önkoşullar

Neler Öğreneceksiniz

Outline

Eğitim Tarihleri