Cisco Training Courses

Cisco Training Courses

Insoft has been serving IT industry with authorized Cisco courses training, since 2010. Find all the relevant information on Cisco training on this page.

View More

Cisco Certifications

Experience a blended learning approach that combines the best of instructor-led training and self-paced e-learning to help you prepare for your certification exam.

View More

Cisco Learning Credits

Cisco Learning Credits (CLCs) are prepaid training vouchers redeemed directly with Cisco that make planning for your success easier when purchasing Cisco products and services.

Have CLCs and want to redeem them?

Cisco Continuing Education

The Cisco Continuing Education Program offers all active certification holders flexible options to recertify by completing a variety of eligible training items.

View More

Cisco U

Cisco U. is customized to achieve your learning needs as this provides learning paths that includes wide range of topics, including CCNA, Cloud and Network Automation Essentials.

Browse Catalogue

Cisco Business Enablement

The Cisco Business Enablement Partner Program focuses on sharpening the business skills of Cisco Channel Partners and customers.

View More

Fortinet Technical Certifications

Insoft Services´ training capabilities rely on the excellence of our exclusive Fortinet Certified Trainers (FCT). We are dedicated to providing high-quality training to Fortinet Customers and Partners.

View More

Fortinet Technical Courses

Insoft is recognised as Fortinet Authorized Training Center in selected locations across EMEA.

View More

ATC Status

Check our ATC Status across selected countries in Europe.

View More

Fortinet Services Packages

Insoft Services has developed a specific solution to streamline and simplify the process of installing or migrating to Fortinet Products.

Browse Packages

Prepforce Bootcamp

The only comprehensive source available today to prepare for Fortinet NSE 8 certification globally.

View More

Microsoft Training

Insoft Services provides Microsoft training in EMEAR. We provide Microsoft technical training and certification courses that are led by world-class instructors.

View More

Technical Training

The evolution of Extreme Networks Technical Training provides a comprehensive progressive pathway from Associate to Professional accreditation.

View More

ATP Accreditation

As an authorised training partner (ATP), Insoft Services ensures that you receive the highest standards of education available.

View More

What we do

Through our global presence and partner ecosystem, we provide strategic IT consulting services to align IT services with customers' business goals.

View More

 

We are pleased to launch pre-scoped Enterprise Networking Consulting Packages, our ready-made solutions, tailored to ensure efficiency and cost containment.

 

View More

 

We specialize in the deployment of vendor-specific automation tools as well as open-source and vendor-independent solutions, that can be tuned in accordance with the business needs of a specific organization.

 

View More

 

We provide comprehensive IoT consultancy, deployment and support solutions for businesses that want to launch or improve their use of connected technologies.

 

In a world where technologies are evolving rapidly, every company - business needs a partner to rely on and trust for the smooth and secure operation of its network infrastructure.

View More

 

In a world where technologies are evolving rapidly, every company - business needs a partner to rely on and trust for the smooth and secure operation of its network infrastructure.

View More

 

In a world where technologies are evolving rapidly, every company - business needs a partner to rely on and trust for the smooth and secure operation of its network infrastructure.

 

View More

 

In a world where technologies are evolving rapidly, every company - business needs a partner to rely on and trust for the smooth and secure operation of its network infrastructure.

 

View More
Cisco Training Courses

 

We provide the highest level of expertise on Cisco consultancy services, that target audits of your current network and implementing updates for improved operational performance, secure data and compliant systems.

View More

 

We provide the highest level of expertise on Fortinet consultancy services that target audits of your current network and implementing updates for improved operational performance, secure data and compliant systems.

View More

 

Our team can help enterprises, get the most value from Extreme products and services following our predefined value-added packages or custom ones that fits business needs.

 

View More

 

TXOne Networks provides cybersecurity solutions that ensure the reliability and safety of ICS and OT environments through the OT zero trust methodology protecting assets for their entire life cycle.

 

View More

About Us

Our training portfolio includes a wide range of IT training from IP providers, including Cisco, Extreme Networks, Fortinet, Microsoft, to name a few, in EMEA.

View More

NPL – Natural Language Processing Fundamentals

Contact Us

We would love to hear from you. Please complete this form to pre-book or request further information about our delivery options.

Data Protection & Privacy

I consent to receive emails and/or calls from Insoft Services related to the Insoft Services´ products and services.
I acknowledge that my data will be collected and processed as described in the Insoft Services privacy policy.

Close

NPL – Natural Language Processing Fundamentals

Enroll Now
Duration
3 Days
Delivery
(Online and onsite)
Price
Price Upon Request

This comprehensive Natural Language Processing (NPL) Fundamentals training course will show you how to effectively use Python libraries and NLP concepts to solve various problems. This is a three-day course that starts with basics and goes on to explain various NLP tools and techniques that equip you with all that you need to solve common business problems for processing text.

In this NPL training course, you’ll be introduced to natural language processing and its applications through examples and exercises. This will be followed by an introduction to the initial stages of solving a problem, which includes problem definition, getting text data, and preparing it for modelling. With exposure to concepts like advanced natural language processing algorithms and visualization techniques, you’ll learn how to create applications that can extract information from unstructured data and present it as impactful visuals. Although you will continue to learn NLP-based techniques, the focus will gradually shift to developing useful applications. In these sections, you’ll understand how to apply NLP techniques to answer questions as can be used in chatbots.

By the end of this course, you’ll be able to accomplish a varied range of assignments ranging from identifying the most suitable type of NLP task for solving a problem to using a tool like spacy or genesis for performing sentiment analysis. This NPL training course will easily equip you with the knowledge you need to build applications that interpret human language.

Lesson 1: Introduction to NLP

  • What is natural language processing (NLP)?
  • Types of natural language processing tasks
  • Structuring a natural language processing project

Lesson 2: Extraction Methods from Unstructured Text

  • Tokenization methods
  • Term frequency observations
  • Bag-of-Words and TF-IDF

Lesson 3: Building a Simple Classifier

  • Basic theoretical coverage and sample code of Supervised and Unsupervised
  • Classifiers vs. regressors
  • Sampling and splitting data for training algorithms
  • Evaluating the performance of a model
  • Use of Pandas and scikit-learn

Lesson 4: Collecting Text Data

  • Retrieve and process web page data using urllib, bs4
  • Handle various types of data such as JSON, XML
  • Retrieve real-time data using API provided by the website

Lesson 5: Topic Modeling

  • Loading and preprocessing documents into a noted course
  • Training an LDA model to detect the topics in the document
  • Visually represent the topics found in a set of documents

Lesson 6: Text Summarization and Text Generation

  • Summarizing document using word frequency
  • Generating random text using the Markov chain
  • Compare the results between recent methods

Lesson 7: Vector Representation

  • Converting words to word vectors
  • Perform math-like operations on word vectors e.g. king – man = queen
  • Converting documents to document vectors.
  • Using document vectors to measure the similarity between documents

Lesson 8: Sentiment Analysis

  • Load a labelled dataset of movie reviews
  • Use word vectors to represent the words in the movie review
  • Train a simple model to predict whether the movie review is positive or negative

Natural Language Processing Fundamentals is designed for novice and mid-level data scientists and machine learning developers who want to gather and analyze text data to build an NLP-powered product. It’ll help you to have prior experience of coding in Python using data types, writing functions, and importing libraries. Some experience with linguistics and probability is useful but not necessary.

Hardware:

This NPL training course will require a computer system for the instructor and one for each student. The minimum hardware requirements are as follows:

  • Processor: Dual Core or better
  • Memory: 4 GB RAM
  • Hard disk: 10 GB
  • Internet connection

 

Software:

  • Operating system: Windows 7 SP1 32/64-bit, Windows 8.1 32/64-bit, Windows 10 32/64-bit, Ubuntu 14.04 or later, or macOS Sierra or later
  • Browser: Google Chrome or Mozilla Firefox
  • Conda
  • Jupyterlab
  • Python 3.x
This comprehensive Natural Language Processing (NPL) Fundamentals training course will show you how to effectively use Python libraries and NLP concepts to solve various problems. This is a three-day course that starts with basics and goes on to explain various NLP tools and techniques that equip you with all that you need to solve common business problems for processing text. In this NPL training course, you'll be introduced to natural language processing and its applications through examples and exercises. This will be followed by an introduction to the initial stages of solving a problem, which includes problem definition, getting text data, and preparing it for modelling. With exposure to concepts like advanced natural language processing algorithms and visualization techniques, you'll learn how to create applications that can extract information from unstructured data and present it as impactful visuals. Although you will continue to learn NLP-based techniques, the focus will gradually shift to developing useful applications. In these sections, you'll understand how to apply NLP techniques to answer questions as can be used in chatbots. By the end of this course, you'll be able to accomplish a varied range of assignments ranging from identifying the most suitable type of NLP task for solving a problem to using a tool like spacy or genesis for performing sentiment analysis. This NPL training course will easily equip you with the knowledge you need to build applications that interpret human language.

Lesson 1: Introduction to NLP

  • What is natural language processing (NLP)?
  • Types of natural language processing tasks
  • Structuring a natural language processing project

Lesson 2: Extraction Methods from Unstructured Text

  • Tokenization methods
  • Term frequency observations
  • Bag-of-Words and TF-IDF

Lesson 3: Building a Simple Classifier

  • Basic theoretical coverage and sample code of Supervised and Unsupervised
  • Classifiers vs. regressors
  • Sampling and splitting data for training algorithms
  • Evaluating the performance of a model
  • Use of Pandas and scikit-learn

Lesson 4: Collecting Text Data

  • Retrieve and process web page data using urllib, bs4
  • Handle various types of data such as JSON, XML
  • Retrieve real-time data using API provided by the website

Lesson 5: Topic Modeling

  • Loading and preprocessing documents into a noted course
  • Training an LDA model to detect the topics in the document
  • Visually represent the topics found in a set of documents

Lesson 6: Text Summarization and Text Generation

  • Summarizing document using word frequency
  • Generating random text using the Markov chain
  • Compare the results between recent methods

Lesson 7: Vector Representation

  • Converting words to word vectors
  • Perform math-like operations on word vectors e.g. king – man = queen
  • Converting documents to document vectors.
  • Using document vectors to measure the similarity between documents

Lesson 8: Sentiment Analysis

  • Load a labelled dataset of movie reviews
  • Use word vectors to represent the words in the movie review
  • Train a simple model to predict whether the movie review is positive or negative

Natural Language Processing Fundamentals is designed for novice and mid-level data scientists and machine learning developers who want to gather and analyze text data to build an NLP-powered product. It’ll help you to have prior experience of coding in Python using data types, writing functions, and importing libraries. Some experience with linguistics and probability is useful but not necessary.

Hardware:

This NPL training course will require a computer system for the instructor and one for each student. The minimum hardware requirements are as follows:

  • Processor: Dual Core or better
  • Memory: 4 GB RAM
  • Hard disk: 10 GB
  • Internet connection

 

Software:

  • Operating system: Windows 7 SP1 32/64-bit, Windows 8.1 32/64-bit, Windows 10 32/64-bit, Ubuntu 14.04 or later, or macOS Sierra or later
  • Browser: Google Chrome or Mozilla Firefox
  • Conda
  • Jupyterlab
  • Python 3.x