8921 ET courses

Duration 3 Days 18 CPD hours Overview The goal of this course is to enable technical students new to Cassandra to begin working with Cassandra in an optimal manner. Throughout the course students will learn to: Understand the Big Data needs that C* addresses Be familiar with the operation and structure of C* Be able to install and set up a C* database Use the C* tools, including cqlsh, nodetool, and ccm (Cassandra Cluster Manager) Be familiar with the C* architecture, and how a C* cluster is structured Understand how data is distributed and replicated in a C* cluster Understand core C* data modeling concepts, and use them to create well-structured data models Be familiar with the C* eventual consistency model and use it intelligently Be familiar with consistency mechanisms such as read repair and hinted handoff Understand and use CQL to create tables and query for data Know and use the CQL data types (numerical, textual, uuid, etc.) Be familiar with the various kinds of primary keys available (simple, compound, and composite primary keys) Be familiar with the C* write and read paths Understand C* deletion and compaction The Cassandra (C*) database is a massively scalable NoSQL database that provides high availability and fault tolerance, as well as linear scalability when adding new nodes to a cluster. It has many powerful capabilities, such as tunable and eventual consistency, that allow it to meet the needs of modern applications, but also introduce a new paradigm for data modeling that many organizations do not have the expertise to use in the best way.Introduction to Cassandra is a hands-on course designed to teach attendees the basics of how to create good data models with Cassandra. This technical course has a focus on the practical aspects of working with C*, and introduces essential concepts needed to understand Cassandra, including enough coverage of internal architecture to make good decisions. It is hands-on, with labs that provide experience in core functionality. Students will also explore CQL (Cassandra Query Language), as well as some of the ?anti-patterns? that lead to non-optimal C* data models and be ready to work on production systems involving Cassandra. Session 1: Cassandra Overview Why We Need Cassandra - Big Data Challenges vs RDBMS High level Cassandra Overview Cassandra Features Optional: Basic Cassandra Installation and Configuration Session 2: Cassandra Architecture and CQL Overview Cassandra Architecture Overview Cassandra Clusters and Rings Nodes and Virtual Nodes Data Replication in Cassandra Introduction to CQL Defining Tables with a Single Primary Key Using cqlsh for Interactive Querying Selecting and Inserting/Upserting Data with CQL Data Replication and Distribution Basic Data Types (including uuid, timeuuid) Session 3: Data Modeling and CQL Core Concepts Defining a Compound Primary Key CQL for Compound Primary Keys Partition Keys and Data Distribution Clustering Columns Overview of Internal Data Organization Overview of Other Querying Capabilities ORDER BY, CLUSTERING ORDER BY, UPDATE , DELETE, ALLOW FILTERING Batch Queries Data Modeling Guidelines Denormalization Data Modeling Workflow Data Modeling Principles Primary Key Considerations Composite Partition Keys Defining with CQL Data Distribution with Composite Partition Key Overview of Internal Data Organization Session 4: Additional CQL Capabilities Indexing Primary/Partition Keys and Pagination with token() Secondary Indexes and Usage Guidelines Cassandra collections Collection Structure and Uses Defining and Querying Collections (set, list, and map) Materialized View Overview Usage Guidelines Session 5: Data Consistency In Cassandra Overview of Consistency in Cassandra CAP Theorem Eventual (Tunable) Consistency in C* - ONE, QUORUM, ALL Choosing CL ONE Choosing CL QUORUM Achieving Immediate Consistency Overview of Other Consistency Levels Supportive Consistency Mechanisms Writing / Hinted Handoff Read Repair Nodetool repair Session 6: Internal Mechanisms Ring Details Partitioners Gossip Protocol Snitches Write Path Overview / Commit Log Memtables and SSTables Write Failure Unavailable Nodes and Node Failure Requirements for Write Operations Read Path Overview Read Mechanism Replication and Caching Deletion/Compaction Overview Delete Mechanism Tombstones and Compaction Session 7: Working with IntelliJ Configuring JDBC Data Source for Cassandra Reading Schema Information Querying and Editing Tables. Additional course details: Nexus Humans Introduction to Cassandra (TTDS6776) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Introduction to Cassandra (TTDS6776) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Machine Learning Essentials with Python (TTML5506-P) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for Experienced system administrators or network administrators, software and DevOps engineers Overview By the end of the course, you should be able to meet the following objectives: Describe VMware NSX Advanced Load Balancer architecture Describe VMware NSX Advanced Load Balancer components and main functions Explain VMware NSX Advanced Load Balancer key features and benefits Describe and leverage VMware NSX Advanced Load Balancer REST API Describe and leverage VMware NSX Advanced Load Balancer SDKs with extended focus on Python SDK Leverage REST API and SDK features and functions to provision application delivery components Describe and leverage VMware NSX Advanced Load Balancer Ansible and Terraform integrations Describe and leverage VMware NSX Advanced Load Balancer Github, Docker (avinetworks/avitools), Ansible Galaxy and other open source resources to accelerate the automation planning and implementation Leverage VMware NSX Advanced Load Balancer Ansible and Terraform integrations to provision infrastructure components Leverage VMware NSX Advanced Load Balancer Ansible and Terraform integrations to automate and streamline application delivery services provisioning This three-day, fast-paced course provides comprehensive training on how to automate infrastructure and application components of VMware NSX Advanced Load Balancer (Avi Networks) solution. This course covers key application delivery features of NSX Advanced Load Balancer (Avi Networks) features and functionality offered in VMware NSX Advanced Load Balancer 18.2 release and focuses on how to plan and implement automation of infrastructure and application components leveraging REST API, SDK or automation solutions such as Ansible, Terraform or similar. Access to a software-defined data center environment is provided through hands-on labs to reinforce the skills and concepts presented in the course. Course Introduction Introductions and course logistics Course objectives Introduction to NSX Advanced Load Balancer Introduce NSX Advanced Load Balancer Discuss NSX Advanced Load Balancer use cases, and benefits Explain NSX Advanced Load Balancer architecture and components Explain the management, control, data, and consumption planes and functions Virtual Services Configuration Concepts Explain Virtual Service components Explain Virtual Service types Explain and configure basic virtual services components such as Application Profiles, Network Profiles,Pools and Health Monitors Pools Configuration Concepts Explain and deep dive on Pool configuration options Describe multiple load balancing algorithms Explain multiple Health Monitor types Explain multiple Persistent profiles Explain and configure Pool Groups Leveraging NSX Advanced Load Balancer REST API Explain NSX Advanced Load Balancer automation vision Explain and introduce NSX Advanced Load Balancer REST API Describe NSX Advanced Load Balancer REST API methods and capabilities Describe NSX Advanced Load Balancer REST API session handling properties such authentication, API versioning and tenancy model Deep dive on NSX Advanced Load Balancer REST API Object Model Explain and investigate NSX Advanced Load Balancer REST API leveraging browser and command line utilities Explain and interact with NSX Advanced Load Balancer REST API leveraging browser, Postman and Curl Explain Swagger-based API Documentation Explain and leverage NSX Advanced Load Balancer Inventory API Explain and leverage NSX Advanced Load Balancer methods such as GET, PUT, POST and PATCH and associated queries, filters and parameters Deep dive on NSX Advanced Load Balancer PATCH method Explain and leverage NSX Advanced Load Balancer Analytics API Explain and leverage NSX Advanced Load Balancer MACRO API NSX Advanced Load Balancer Software-Defined Kits (SDKs) and ControlScripts Introduce NSX Advanced Load Balancer SDKs Describe, install and leverage NSX Advanced Load Balancer Python SDK Deep dive on NSX Advanced Load Balancer Python SDK Describe and leverage Golang SDK Leverage NSX Advanced Load Balancer open source resources such as Github, etc to accelerate SDKs adoption Describe NSX Advanced Load Balancer Events and Alerts framework Introduce ControlScripts foundations Leverage ControlScripts to automate configuration changes and alerts remediation Automating NSX Advanced Load Balancer Application Delivery Services with Ansible and Terraform Introduce NSX Advanced Load Balancer Configuration Orchestration and Management vision Introduce and explain Ansible foundations Describe Ansible and NSX Advanced Load Balancer Ansible capabilities Deep dive and implement NSX Advanced Load Balancer Ansible Core configuration modules (avinetworks/avisdk) Deep dive and implement Ansible NSX Advanced Load Balancer Declarative configuration role (avinetworks/aviconfig) Leverage Swagger NSX Advanced Load Balancer REST API models to develop and implement Ansible playbooks Explain application delivery configuration automation approach and models Apply configuration automation models with Ansible Introduce and explain Terraform foundations Describe Terraform and NSX Advanced Load Balancer Terraform capabilities Deep dive and implement NSX Advanced Load Balancer Terraform Provider Leverage Swagger NSX Advanced Load Balancer REST API models to develop and implement Terraform plans Apply configuration automation models with Terraform Automating NSX Advanced Load Balancer Infrastructure with Ansible and Terraform Introduce NSX Advanced Load Balancer infrastructure Automation vision Describe infrastructure deployment approach and capabilities Describe Ansible and NSX Advanced Load Balancer Ansible Infrastructure deployment approach and capabilities Describe Terraform and NSX Advanced Load Balancer Terraform deployment approach and capabilities Leverage Terraform to deploy Controllers and perform system configuration, including control plane cluster setup Leverage Terraform to provision Cloud, Service Engine Groups and Service Engine components Describe and leverage Ansible roles to deploy Controllers and perform initial system configuration, including control plane cluster setup Leverage Ansible declarative and core roles to provision Cloud, Service Engine Groups and Service Engine components Describe and implement combined Terraform + Ansible model to streamline NSX Advanced Load Balancer solution deployment

Duration 5 Days 30 CPD hours Overview By the end of the course, you should be able to meet the following objectives: List the operational challenges for rolling out and operating telco services including 5G. Identify the role of VMware Telco Cloud products in supporting telco services. Discuss the role of VMware technologies such as vSphere, NSX, and Tanzu etc. in implementing telco services. Outline the role of native tools and other VMware monitoring tools such as vRealize Operations and vRealize Log Insight in maintaining network services. Choose the VMware Telco Cloud products that meet your application requirements. Deploy a solution architecture that meet VMware best practices for delivering services using VMware Telco Cloud products. Implement and maintain VMware Telco Cloud products in a secure manner. Identify the tools and remediation pathways for maintaining the availability and performance of your applications and infrastructure using VMware Telco Cloud and vRealize Suite products. Follow specific steps to resolve application performance and availability problems Scale your VMware Telco Cloud products to meet operational requirements in line with VMware best practices. Optimize the operation of VMware Telco Cloud products to ensure SLAs are met. This five-day, hands-on training course provides the knowledge to operate and scale VMware Telco Cloud version 2.x products in a Telco cloud provider environment. In this course, you are exposed to the entire VMware Telco Cloud portfolio, and the tools and methodologies available to ensure they operate effectively. In addition, you are presented with various scenarios where you will be guided through the process of identifying, analyzing, and formulating solutions to performance and other problems. Course Introduction Introductions and course logistics Course objectives Overview of Network Transformation Reviews the technologies that enable modern networks Lists the components of modern service provider networks Outlines characteristics of modern service provider networks in meeting customer application needs Service Delivery with VMware Telco Cloud Outlines the components of the VMware Telco Cloud portfolio Reviews the role each VMware Telco Cloud product plays in delivering telco services Specifies the dependencies each product has on underlying technologies Supporting VMware Telco Cloud Service Delivery Reviews the products that implements the virtualization, management, platform, and orchestration layers Outlines the role played by other VMware products such as NSX in delivering cloud services Outline opensource integration options with VMware Telco Cloud products Securing VMware Telco Cloud Reviews security threats that affect telco services Identifies the critical telco assets that are prone to attack Outlines best practice for securing VMware Telco Cloud products and underlying technology Provides overview of appropriate security controls for VMware Telco Cloud products Assessing Service Provision Reviews tools and methodologies used to gather requirements Outlines how to assess cloud-native capabilities Documenting findings Identifying security vulnerabilities with Helm. Reviews VMware?s Customer Engagement process Capturing infrastructure requirements from TCA Designing a VMware Telco Cloud Solution Selecting appropriate deployment topology Pros and cons of design choices How a design choice might be affected by other factors such as NSX and TKG deployment, or data center architecture Outlines typical scenarios where specific products align with identified requirements Documenting a design Designing for availability Ensuring a design aligns with best practice Specifying monitoring options Implementing VMware Telco Cloud Products Review deployment options for VMware products Integrating new products with existing ones Outline post-installation tasks Adding the new products as data sources in monitoring tools such as vRealize Operations and vRealize Operations Network Insight Ensuring products meet security requirements Configuring monitoring software Outlines the xNF onboarding process in TCA Maintaining Telco Services Outlines typical administrative tasks in ensuring services are maintained Use of native and other VMware performance monitoring tools Reviewing performance data Role of SLAs in service maintenance Reviews scenarios where known behaviors indicate problems Troubleshooting Deployed Telco Services Reviews the troubleshooting tools available Using tools to gather useful data Outlines how event correlation can be used to isolate problems Using a methodology to determine the root cause of a problem Steps to identify and resolve a problem Reviews scenarios where known problems are isolated and resolution steps identified Scaling VMware Telco Cloud Products Assessing if operations are impacted by lack of resources now or will be in the future Reviews performance optimization options Identifies implications for other products if you scale VMware Telco Cloud products Reviews VMware sizing guidelines Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Telco Cloud: Day 2 Operate and Scale [V2.x] training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the VMware Telco Cloud: Day 2 Operate and Scale [V2.x] course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. Launch into the Universe of Natural Language Processing The journey begins: Unravel the layers of NLP Navigating through the history of NLP Merging paths: Text Analytics and NLP Decoding language: Word Sense Disambiguation and Sentence Boundary Detection First steps towards an NLP Project Unleashing the Power of Feature Extraction Dive into the vast ocean of Data Types Purification process: Cleaning Text Data Excavating knowledge: Extracting features from Texts Drawing connections: Finding Text Similarity through Feature Extraction Engineer Your Text Classifier The new era of Machine Learning and Supervised Learning Architecting a Text Classifier Constructing efficient workflows: Building Pipelines for NLP Projects Ensuring continuity: Saving and Loading Models Master the Art of Web Scraping and API Usage Stepping into the digital world: Introduction to Web Scraping and APIs The great heist: Collecting Data by Scraping Web Pages Navigating through the maze of Semi-Structured Data Unearth Hidden Themes with Topic Modeling Embark on the path of Topic Discovery Decoding algorithms: Understanding Topic-Modeling Algorithms Dialing the right numbers: Key Input Parameters for LSA Topic Modeling Tackling complexity with Hierarchical Dirichlet Process (HDP) Delving Deep into Vector Representations The Geometry of Language: Introduction to Vectors in NLP Text Manipulation: Generation and Summarization Playing the creator: Generating Text with Markov Chains Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank Peering into the future: Recent Developments in Text Generation and Summarization Solving real-world problems: Addressing Challenges in Extractive Summarization Riding the Wave of Sentiment Analysis Unveiling emotions: Introduction to Sentiment Analysis Tools Demystifying the Textblob library Preparing the canvas: Understanding Data for Sentiment Analysis Training your own emotion detectors: Building Sentiment Models Optional: Capstone Project Apply the skills learned throughout the course. Define the problem and gather the data. Conduct exploratory data analysis for text data. Carry out preprocessing and feature extraction. Select and train a model. ? Evaluate the model and interpret the results. Bonus Chapter: Generative AI and NLP Introduction to Generative AI and its role in NLP. Overview of Generative Pretrained Transformer (GPT) models. Using GPT models for text generation and completion. Applying GPT models for improving autocomplete features. Use cases of GPT in question answering systems and chatbots. Bonus Chapter: Advanced Applications of NLP with GPT Fine-tuning GPT models for specific NLP tasks. Using GPT for sentiment analysis and text classification. Role of GPT in Named Entity Recognition (NER). Application of GPT in developing advanced chatbots. Ethics and limitations of GPT and generative AI technologies.

Duration 5 Days 30 CPD hours This course is intended for This introductory-level Python course is geared for experienced users who want to use Python in web development projects, or system administrators and web site administrators who want to use Python to support their server installations, as well as anyone else who wants to automate or simplify common tasks with the use of Python scripts. Basic familiarity with any programming or scripting language would be helpful, along with a working, user-level knowledge of Unix/Linux, Mac, or Windows. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Throughout the hands-on course students, will learn to write essential Python scripts using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Create working Python scripts following best practices Use python data types appropriately Read and write files with both text and binary data Search and replace text with regular expressions Get familiar with the standard library and its work-saving modules Use lesser known but powerful Python data types Create 'real-world', professional Python applications Work with dates, times, and calendars Know when to use collections such as lists, dictionaries, and sets Understand Pythonic features such as comprehensions and iterators Write robust code using exception handling Mastering Python Programming is an introductory and beyond-level practical, hands-on Python training course that leads the student from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting. This comprehensive, practical course provides an in-depth exploration of working with the programming language, not an academic overview of syntax and grammar. Students will immediately be able to use Python to complete tasks in the real world. An overview of Python What is python? Python Timeline Advantages/Disadvantages of Python Getting help with pydoc The Python Environment Starting Python Using the interpreter Running a Python script Python scripts on Unix/Windows Editors and IDEs Getting Started Using variables Builtin functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control White space Conditional expressions Relational and Boolean operators While loops Alternate loop exits Array types About array types (AKA sequences) Lists and list methods Tuples Indexing and slicing Iterating through a sequence Nested sequences Sequence functions, keywords, and operators List comprehensions Generator Expressions Working with files File overview Opening a text file Reading a text file Writing to a text file Reading and writing raw (binary) data Converting binary data with struct Dictionaries and Sets About dictionaries Creating dictionaries Iterating through a dictionary About sets Creating sets Working with sets Functions Defining functions Parameters Global and local scope Nested functions Returning values Sorting The sorted() function Alternate keys Lambda functions Sorting collections Using operator.itemgetter() Reverse sorting Errors and Exception Handling Syntax errors Exceptions Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages The import statement Module search path Creating Modules Using packages Function and Module aliases An Introduction to Python Classes About o-o programming Defining classes Constructors Methods Instance data Properties Class methods and data Regular Expressions RE syntax overview RE Objects Searching and matching Compilation flags Groups and special groups Replacing text Splitting strings Using the Standard Library The sys module Launching external programs Math functions Random numbers Reading CSV data Dates and Times Working with dates and times Translating timestamps Parsing dates from text Formatting dates Calendar data Working with the File System Paths, directories, and filenames Checking for existence Permissions and other file attributes Walking directory trees Creating filters with fileinput Using shutil for file operations Advanced Data Handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Network Programming Using requests Grabbing web content Sending email Using SSH for remote access Using FTP Writing real-life applications Reading input files a la Unix Parsing command-line options Detecting the current platform Implementing logging Additional course details: Nexus Humans Mastering Python Programming (TTPS4820) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Mastering Python Programming (TTPS4820) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for The intended audience for this course is experienced web developers who are new to User Experience (UX) and Responsive Design principles. These professionals typically have a solid understanding of front-end development technologies such as HTML, CSS, and JavaScript but seek to expand their skillset to create more user-centric, adaptable, and accessible web experiences. Roles that would benefit from this course include: Front-end Web Developers Full-stack Developers Web Designers Team Leads and Project Managers Freelance Web Developers Overview Working in a hands-on learning environment led by our expert UX coach, you'll learn to: Understand and apply UX principles and user-centered design processes: Participants will learn to identify the needs and preferences of users, create user personas, and apply UX best practices to develop intuitive, user-friendly web experiences. Design and implement responsive web layouts: Participants will gain the skills to create fluid grid layouts, use flexible images, and apply media queries to design web pages that adapt seamlessly across various devices and screen sizes. Optimize web performance for responsive designs: Participants will learn techniques to improve website performance, including image optimization, responsive images, and minification and concatenation of assets, ensuring a fast and smooth user experience across devices. Implement accessible web designs: Participants will understand the importance of accessibility in web design and learn to apply WCAG principles and accessible design patterns to create websites that are usable by a wide range of users, including those with disabilities. Collaborate effectively with designers, developers, and stakeholders: Participants will gain insights into design collaboration and handoff processes, enhancing their ability to communicate design decisions, provide and receive feedback, and work efficiently with team members and clients. In today's fast-paced digital world, user-centric and adaptable websites are no longer a luxury ? they're a necessity. By embracing UX and responsive design, you'll unlock the potential to elevate your websites, boosting user satisfaction and engagement. This, in turn, leads to higher conversion rates and a stronger online presence for your clients or organization, as well as better collaboration within your team, bridging the gap between designers, developers, and stakeholders.UX Design & Responsive Design for Experienced Web Developers is a three day, engaging hands-on workshop designed to equip you with the latest skills and best practices in User Experience (UX) and Responsive Web Design required to create seamless, user-friendly websites that adapt effortlessly across devices. This course will immerse you in the latest skills, best practices, and hands-on activities, empowering you to create exceptional, accessible websites that excel across devices and captivate users. Throughout the program you?ll explore the fundamentals of UX and responsive design, including user-centered design processes, mobile-first and desktop-first approaches, and design techniques for various devices and screen sizes. You'll gain practical experience creating responsive layouts, optimizing performance, and implementing accessible web designs, all while leveraging popular frameworks and design tools. You'll also gain valuable insights into performance optimization, accessibility, and collaboration strategies, ensuring you have the complete toolkit to excel in your field.By the end of this workshop, you?ll have gained a solid understanding of UX and responsive design principles, as well as hands-on experience in applying these concepts to real-world projects. You?ll be able to create more user-friendly, responsive, and accessible websites, and collaborate more effectively with your design and development teams. Introduction to UX and Responsive Design: Understanding User Experience What is UX? Importance of UX in web development UX principles and best practices User-centered design process Responsive Web Design Basics What is Responsive Web Design? Importance of Responsive Design in modern web development Fluid grid layout, flexible images, and media queries Hands-on Activity: Creating a Responsive Layout Designing a simple responsive layout using HTML, CSS, and media queries Breakdown and explanation of the code Testing responsiveness across different devices Mobile-first vs. Desktop-first Approaches Pros and cons of each approach Deciding which approach to use Designing for Different Devices and Screen Sizes Common breakpoints and device considerations Accessibility and usability across devices Typography, color, and other design elements in responsive design Hands-on Activity: Designing for Different Devices Modifying the previously created responsive layout to optimize for various devices Discussion and feedback on designs Advanced UX and Responsive Design Techniques: UX Research and Testing Importance of UX research Usability testing and user feedback A/B testing and heatmaps Navigation and Information Architecture Designing effective and user-friendly navigation Organizing content and information Common navigation patterns in responsive design Hands-on Activity: Designing Navigation for Responsive Websites Adding navigation elements to the previously created responsive layout Testing navigation on different devices and screen sizes Discussion and feedback on navigation designs Responsive Web Design Frameworks and Tools Overview of popular frameworks (Bootstrap, Foundation, etc.) Pros and cons of using frameworks Introduction to design tools (Sketch, Figma, Adobe XD) Hands-on Activity: Exploring Frameworks and Tools Experimenting with a chosen framework or design tool Redesigning the responsive layout using the selected framework/tool Sharing experiences and discussing the benefits and drawbacks UX and Responsive Design Best Practices: Design Patterns and UI Components Common design patterns in responsive web design Designing reusable UI components Consistency and usability in UI components Performance Optimization Importance of performance in responsive design Image optimization and responsive images Minification and concatenation of assets Hands-on Activity: Optimizing Performance (1.5 hours) Applying performance optimization techniques to the responsive layout Testing the improvements in performance Sharing results and discussing best practices Accessibility in UX and Responsive Design Importance of accessibility in web design Accessibility principles (WCAG) Accessible design patterns and techniques Hands-on Activity: Evaluating and Improving Accessibility Assessing the accessibility of the responsive layout Implementing accessibility improvements Testing and discussing the results Design Collaboration and Handoff Collaborating with designers, developers, and stakeholders Effective communication and documentation Design handoff tools and techniques Hands-on Activity: Simulating Design Handoff Participants will work in pairs to simulate a design handoff Reviewing, discussing, and providing feedback on each other's responsive layouts Sharing experiences and lessons learned

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is as follows: Administrator IT support personnel Helpdesk support staff The secondary audience for this course is as follows: Network Engineering Staff Overview Upon completing this course, the learner can meet these overall objectives: Demonstrate an overall understanding of the Cisco Unified Communications Manager (CUCM) system and its environment Configure CUCM to support IP Phones Configure Cisco Unified Communications Manager and IM&Presence to support Cisco Jabber soft client. Configure CUCM to route calls to internal and PSTN destinations Configure User accounts and multi-level administration Demonstrate the use of Self Care Portal functionality Configure user features, including Hunt Groups, Call Pickup, and Call Park. Define the capabilities of and demonstrate the Bulk Administration Tool Define the SMART Licensing model for Cisco Unified Communications Demonstrate the use of the Unified Reporting tool Demonstrate the use of the Dialed Number Analyzer Explain the function of Cisco Unity Connection and the various interfaces that are used to access the system Describe the components that are required for user call processing by Cisco Unity Connection Implement the various features and options that are available to users in Cisco Unity Connection Explore Cisco Unity Connection version features and functions Use the various applications, tools, and reports that are available in Cisco Unity Connection Administering Collaboration Environments (CLACE) is an instructor-led course presented by Skyline-ATS to system administrators and customers involved with the Cisco Unified Communications Manager and Cisco Unity Connection product's day-to-day operation. The CLACE course is the replacement for the CMA / UCA courses. CLACE is a lab-intensive course. The primary focus is learning by performing the configuration tasks. The amount of theory is limited to allow more time for discovery exercises. This course introduces you to the CUCM system, the necessary procedures for administering IP Phones and Users, understanding the Dial Plan, and implementing Features. The course also covers Jabber administration and Cisco Unity Connection administration features, options, and configuration settings. In addition to instructor-led lectures and discussions, you will configure CUCM and Cisco IP Phones in the lab, either in a live classroom or WebEx remote classroom environment. While the CUCM and CUC software used in the class is version 12.5.1, the course material applies to versions 8.x, 9.x, 10.x, 11.x, or 12.x of the applications. The concepts and the lab tasks are the same for most of the software versions. Define Collaboration Technology and Benefits Define Collaboration Benefits Describe On-Premise, Cloud, and Hybrid Deployments Describe On-Premise Collaboration Deployments Describe Cisco's Collaboration Endpoints Describe Cisco Collaboration On-Premise Edge Solutions Describe Cisco's Collaboration On-Premise Conferencing Solutions Describe Cisco Cloud Services Administering Initial Parameters for Cisco Unified Communications Manager Understand the On-Premise Collaboration Deployment Models Describe The Cisco Unified CM Cluster Services Define Network requirements for Collaboration Define Network Services for Collaboration Navigate Cisco Unified CM Discovery 1: Configure Cisco Unified Communications Manager Initial Parameters Explore Cisco Unified CM Groups Discovery 2: Configure the Cisco UCM Core Systems Settings Exploring Endpoints and the Registration Process Identify Cisco Endpoint Solutions Explore the Boot up Process of an Endpoint Describe Power Over Ethernet Discovery 3: Configure an Access Switch for an Endpoint Describe IP Network Settings Discovery 4: Deploy an IP Phone Through Auto and Manual Registration Discovery 5: Administer Endpoints in Cisco Unified Communications Manager Managing Users in Cisco Unified Communications Manager Analyze Cisco UCM Users Types and Settings Describe Methods for Authenticating Cisco UCM Users Discovery 6: Create Local User Accounts Discovery 7: Adding Users in Cisco Unified Communications Manager Describing a Basic Dial Plan Describe the Concepts of a Dial Plan and Call Routing Describe Elements of Call Routing Explore Digit Manipulation and Translation Patterns Discovery 8: Create a Basic Dial Plan Describing Class of Service Explore the Concepts of Class of Control Discovery 9: Explore Partitions and Calling Search Spaces Discovery 10: Explore Private Line Automatic Ringdown (PLAR) Enabling Endpoints and Features Configure a Cisco Jabber Endpoint in Cisco UCM Discovery 11: Implementing Common Endpoint Features (Configuring Hunt Groups and Call Coverage) Explore Mobility Discovery 12: Implement Mobility Implementing Media Resources in Cisco Unified Communications Manager Media Resource Overview Media Resource Selection and Access Control Audio and Video Conference Bridge Devices Audio and Video Conference Bridge Integration Options Discovery 13: Configuring Media Resources Reporting and Maintenance Explore the Troubleshooting Process Describe Reporting and Maintenance Tools Describe the Cisco Real-Time Monitoring Tool Discovery 14: Use Reporting and maintenance Tools Describing Cisco Instant Messaging and Presence Describe Cisco IM and Presence Features and Architecture Clustering Describe Cisco IM and Presence Components and Communication Flows Enabling Jabber Cisco Jabber Deployment Modes Discovery 15: Deploy an On-Premise Cisco Jabber Client for Windows Configure Unity Connection Integration Overview of Cisco Unity Connection Integration SIP Integration Typical Integration Mistakes Integration Considerations Discovery 16: Configure the integration between Cisco Unity Connection and Cisco UCM Discovery 17: Configure Voicemail Users Configuring Cisco Unity Connection Call Handlers Call handler Overview System Call Handler Caller Input Operator Call Handler Goodbye Call Handler Directory Handler Interview Handler Troubleshooting Cisco Unity Connection Overview of Cisco Unity Connection Troubleshooting Options Integration Troubleshooting Tools Cisco Real-Time Monitoring Tool Discovery 18: Troubleshoot Cisco Unity Connection Additional course details: Nexus Humans Cisco Administering Collaboration Environments (CLACE) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Administering Collaboration Environments (CLACE) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for System administrator Network administrator Technician DevOps Overview The Linux Professional Institute(LPI) is the go to certification body for vendor independent Linux certifications. This course covers fundamental Linuxskills such as file management and manipulation, text processing, command line use, package management,filesystems, hardware, and many more. Students will feel confident taking the LPI LPIC-1 101 exam with in classroomassessments and practice exams. This course prepares students to take the 101 exam of the LPI level 1 certification. Work on the Command Line LPI Objectives Covered Role of Command Shell Shells Gathering System Info Identifying the Shell Changing the Shell Shell Prompts Bash: Bourne-Again Shell Navigating the Filesystem Help from Commands and Documentation Getting Help Within the Graphical Desktop Getting Help with man & info Bash: Command Line History Bash: Command Editing Bash: Command Completion Shell and Environment Variables Key Environment Variables LAB TASKS Use Streams, Pipes, and Redirects LPI Objectives Covered File Redirection Piping Commands Together Filename Matching File Globbing and Wildcard Patterns Brace Expansion General Quoting Rules Nesting Commands Gotchas: Maximum Command Length LAB TASKS Manage File Permissions and Ownership LPI Objectives Covered Filesystem Hierarchy Standard Displaying Directory Contents Filesystem Structures Determining Disk Usage With df and du File Ownership Default Group Ownership File and Directory Permissions File Creation Permissions with umask Changing File Permissions SUID and SGID on files SGID and Sticky Bit on Directories User Private Group Scheme LAB TASKS Create, Delete, Find, and Display Files LPI Objectives Covered Directory Manipulation File Manipulation Deleting and Creating Files Physical Unix File Structure Filesystem Links File Extensions and Content Which and Type Where is Searching the Filesystem Alternate Search Method Manually Installed Shared Libraries LAB TASKS Work with Archives and Compression LPI Objectives Covered Archives with tar Archives with cpio The gzip Compression Utility The bzip2 Compression Utility The XZ Compression Utility The PKZIP Archiving/Compression format LAB TASKS Process Text Streams Using Filters LPI Objectives Covered Producing File Statistics The Streaming Editor Replacing Text Characters Text Sorting Duplicate Removal Utility Extracting Columns of Text Displaying Files Prepare Text for Display Previewing Files Displaying Binary Files Combining Files and Merging Text LAB TASKS Search Text Files Using Regular Expressions LPI Objectives Covered Searching Inside Files Regular Expression Overview Regular Expressions RE Character Classes Regex Quantifiers RE Parenthesis LAB TASKS Perform Basic File Editing Operations Using VI LPI Objectives Covered Text Editing vi and Vim Learning Vim Basic vi Intermediate vi LAB TASKS Create, Monitor, and Kill Processes LPI Objectives Covered What is a Process? Process Lifecycle Process States Viewing Processes Signals Tools to Send Signals Managing Processes Tuning Process Scheduling Job Control Overview Job Control Commands Nohup and Disown Uptime & w Persistent Shell Sessions with Screen Using screen Advanced Screen LAB TASKS Use RPM, YUM, and Debian Package Management LPI Objectives Covered Managing Software RPM Architecture Working With RPMs Querying and Verifying with RPM Installing Debian Packages Querying and Verifying with dpkg The alien Package Conversion Tool Managing Software Dependencies Using the Yum command yum downloader Configuring Yum The deselect & APT Frontends to dpkg Aptitude Configuring APT LAB TASKS Work with Partitions, Filesystem, and Disk Quotas LPI Objectives Covered Partition Considerations Logical Volume Management Filesystem Planning Partitioning Disks with fdisk & gdisk Resizing a GPT Partition with gdisk Partitioning Disks with parted Non-Interactive Disk Partitioning with sfdisk Filesystem Creation Filesystem Support Unix/Linux Filesystem Features Swap Selecting a Filesystem Filesystem Maintenance Mounting Filesystems Mounting Filesystems Managing an XFS Filesystem NFS SMB Filesystem Table (/etc/fstab) Configuring Disk Quotas Setting Quotas Viewing and Monitoring Quotas LAB TASKS Linux Boot Process LPI Objectives Covered Booting Linux on PCs GRUB 2 GRUB 2 Configuration GRUB Legacy Configuration Boot Parameters Uinit Linux Runlevels Aliases Systemd local-fs.target and sysinit.target Runlevel Implementation System Boot Method Overview Systemd System and Service Manager Modifying systemd services Systemd Targets Using systemd Shutdown and Reboot System Messaging Commands Controlling System Messaging LAB TASKS Determine and Configure Hardware Settings LPI Objectives Covered Managing Linux Device Files Hardware Discovery Tools Configuring New Hardware with hwinfo PC Architecture and Bus DMA & IRQ USB Devices USB Architecture Configuring Kernel Components and Modules Kernel Modules Handling Module Dependencies Configuring the Kernel via /proc/ LAB TASKS Linux Fundamentals Unix and its Design Principles FSF and GNU GPL ƒ?? General Public License The Linux Kernel Components of a Distribution Red Hat Linux Products SUSE Linux Products Debian Ubuntu Logging In got root? Switching User Contexts Gathering Login Session Info LAB TASKS Additional course details: Nexus Humans Linux Professional Institute Certification (LPIC) 101 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Linux Professional Institute Certification (LPIC) 101 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

It is important for Officers to understand the roles and responsibilities, processes and procedures involved when working with Elected Members. They also need to appreciate the significance of Elected Members as the decision-makers in local government. Officers have a responsibility to work and communicate with Elected Members effectively. This very successful course is designed to help Officers with this. Note: this is very much an indicative outline. The programme is tailored to the needs of each particular organisation. To provide managers with the knowledge and understanding they need to have productive working relationships with Elected Members and provide appropriate support. By the end of the course participants will: Understand the roles, responsibilities, processes and procedures in place for working with Elected Members Be able to identify the best way to approach potentially sensitive issues Understand the skills and behaviours required for working effectively with Members Be able to deploy their influencing skills more successfully Review their learning and have an action plan to take back and implement at work Note: this is very much an indicative outline. The programme is tailored to the needs of each particular organisation. 1 Introduction Welcome and introductions Objectives and programme overview 2 Working in a political environment What is political awareness? Contact and experience with Members Importance of the role of Members 3 Why be an Elected Member? Perceptions of what Elected Members are and do Values of Members and their motivations for doing what they do 4 Political decision-making in local government Current challenges and drivers affecting the organisation / the council Roles and responsibilities of Officers and Members Centrality of Members' strategic role 5 (Option) A day in the life of an Elected Member An Elected Member gives a talk about what they do 6 Having a beneficial relationship between Officers and Members 7 Member / Officer communication Discussion of the formal processes, service procedures, etc (whether enshrined in a protocol, Memorandum of Understanding, etc) Response times and requirements Procedures required by Heads of Service [if appropriate] 8 Influencing styles and strategies Different forms of power and how they impact Developing an appropriate 'influencing style' Exploring strategies for improving communication and influencing at work 9 Review and evaluation Review and evaluation of learning Personal action plans