14341 Environment courses

The Level 3 Lettings Agent and Property Management Course offers comprehensive training in lettings management, covering the code of practice for letting agents, the role of a lettings negotiator, and the legal aspects of lettings management in the UK. Participants will gain valuable knowledge and skills to succeed in the property management industry. Learning Outcomes: Understand the key principles and responsibilities of lettings management. Familiarize with the letting agent code of practice and legal regulations governing property rentals in the UK. Develop essential skills for becoming an effective lettings negotiator, including property marketing, tenant screening, and lease agreements. What skills you will gain: Familiarity with the fundamentals of letting management. A deeper understanding of various types of agents. Acquaintance with the standard guidelines for the lettings agency. Dexterity in knowing your clients and property valuation Thorough knowledge of property negotiation and management. Proficiency in the laws of lettings management. Raised awareness of the lettings agent code of practice. A solid comprehension of home loans and letting agent services. Comprehensive knowledge of the UK legal system. A clear understanding of lettings management finances. Who is this course for: Individuals aspiring to start a career in the property management and lettings industry. Professionals already working in real estate who want to enhance their expertise in lettings management. Property owners and landlords seeking to manage their properties more efficiently and effectively. Requirements: To participate in this Lettings Negotiator course, all you need is - A smart device A secure internet connection And a keen interest in lettings negotiation. Why buy this Level 3 Lettings Agent and Property Management Course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Level 3 Lettings Agent and Property Management Course there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Career path Lettings Negotiator: Assist landlords and tenants in finding suitable rental properties and negotiate lease agreements. Property Manager: Oversee rental properties, handle maintenance requests, and manage tenant relationships. Lettings Administrator: Provide administrative support to a lettings agency, handling documentation and client inquiries. Property Consultant: Offer expert advice on property investments and lettings strategies to clients. Property Investment Advisor: Advise clients on investment opportunities in the rental property market. Course Curriculum Lettings Management Introduction to Lettings Management 00:20:00 Necessary Documents for Lettings Management 01:30:00 Lettings Agency Agreements Guideline 00:15:00 Types of Agents 00:15:00 Knowing Your Clients 00:30:00 Property Valuation 00:30:00 Property Negotiation 00:30:00 Property Management 00:30:00 Lettings Management Laws 00:30:00 Letting Agent Code of Practice Introduction to Letting Agent Code of Practice 00:20:00 Overarching Standards of Practice 00:30:00 Lettings 00:30:00 Management and Maintenance 00:20:00 Ending the Tenancy and Communications & Resolving Complaints 00:15:00 Arrangements 00:15:00 Being a Lettings Negotiator Lettings Management Agent Services 00:20:00 Home Loans 00:00:00 Knowing When You're Ready To Buy 00:15:00 Is Your Lake Home For Sale? 01:00:00 Legal System & Lettings Management UK An Introduction to the UK legal system 00:15:00 Different Types of Investment Structures 00:15:00 Title & Registration 00:15:00 Finance in Lettings Management 00:15:00 Investment Purchase Procedure 00:15:00 Acquisition Costs 00:15:00 Land Usage 00:15:00 Planning & Environment 00:15:00 Investment Structure & Key Legislations 00:15:00 Assignment Assignment - Lettings Mangement & Negotiator 00:00:00

The Hairdressing and Barber Training and Certification course provides comprehensive training in the art of barbering, hair cutting, styling, and shampooing. Participants will acquire the necessary skills and techniques to become proficient barbers and hairdressers, enabling them to offer professional and high-quality services to their clients. Learning Outcomes: Develop a strong foundation in barbering, understanding the history and significance of barbering in the beauty industry. Master the art of hair cutting, learning various cutting techniques for different hair types and styles. Gain proficiency in hair styling, including blow-drying, curling, and straightening, to create diverse and trendy hairstyles. Learn proper hair washing and shampooing techniques, ensuring optimal hygiene and care for clients' hair and scalp. Understand different hair products and their application, guiding clients on the appropriate products for their hair type and needs. Acquire essential communication and customer service skills to effectively interact with clients and meet their hairstyle preferences. Familiarize with safety and sanitation practices, maintaining a clean and safe environment in the salon or barbershop. Learn how to manage and maintain barbering tools and equipment for optimal performance and longevity. Develop creativity and artistic flair to offer unique and personalized haircuts and styles that suit individual client preferences. Obtain a recognized certification in hairdressing and barbering, validating the skills and knowledge acquired throughout the course. Why buy this Hairdressing and Barber Training and Certification? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Hairdressing and Barber Training and Certification you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Hairdressing and Barber Training and Certification does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Prerequisites This Hairdressing and Barber Training and Certification was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Hairdressing and Barber Training and Certification is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Introduction to Barbering Who are Barbers 00:05:00 Anatomy of the skull 00:15:00 Hair Type 00:15:00 Face shapes, Characteristics & Style concepts 00:15:00 Tools of the Trade (Barbers) 00:30:00 Hair Salon Equipments & Furnitures 00:15:00 Code of Practices for Barbering Services 00:45:00 Safe Startup Guide for Barbers 00:35:00 Shaving 00:40:00 Hair Cutting Cutting the Hair 00:15:00 Cutting: Barber Skills & Techniques 00:15:00 Cutting hair - One length hair 00:15:00 Cutting hair - Uniform Layer 00:15:00 Cutting hair - Short graduation 00:15:00 Cutting hair - Long graduation 00:15:00 Cutting hair - Curly hair 00:15:00 Cutting hair - Fringes 00:15:00 Hair Styling About Of Hair Style 00:30:00 Check Out Your Face Shape 01:00:00 Choosing Your Style On Your Shape 01:00:00 Best Hairstyles For A Long Face 00:30:00 Best Hairstyles For A Square Face 00:30:00 Best Hairstyles For A Round Face 00:30:00 Best Hairstyles For A Heart Shaped Face 01:00:00 How To Love Your Style 00:30:00 Glossary of Cuts 00:05:00 Shampooing Shampooing 00:15:00 Mock Exam Mock Exam - Hairdressing and Barber Training and Certification 00:20:00 Final Exam Final Exam - Hairdressing and Barber Training and Certification 00:20:00

The Manager Skills: Leading in Management course provides a comprehensive understanding of management and leadership principles. Participants will learn essential skills such as motivating employees, effective communication, conflict management, and risk assessment. Additionally, the course covers important topics like emotional intelligence, corporate responsibility, and the use of Microsoft Office tools for efficient management. Learning Outcomes: Gain a thorough understanding of management and leadership concepts. Familiarize with various leadership theories and their applications. Improve management and leadership performance through practical techniques. Develop high-performance teams and foster a collaborative work environment. Acquire skills to motivate employees and enhance their job satisfaction. Master organizational skills to streamline processes and boost productivity. Learn effective talent management and succession planning strategies. Develop proficiency in business process management and communication. Why buy this Manager Skills: Leading in Management? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Manager Skills: Leading in Management there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? Aspiring managers and team leaders looking to enhance their leadership skills. Experienced managers seeking to refine their management techniques. Professionals transitioning into managerial roles. Individuals in leadership positions who want to improve team dynamics and employee motivation. Prerequisites This Manager Skills: Leading in Management does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Manager Skills: Leading in Management was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Team Leader/Supervisor: Oversee and manage a team's daily operations and performance. Department Manager: Lead and coordinate activities within a specific department. Project Manager: Plan, execute, and oversee projects to achieve specific objectives. Human Resources Manager: Manage HR functions, talent acquisition, and employee development. Operations Manager: Oversee day-to-day business operations and optimize efficiency. Course Curriculum Module 1: Understanding Management and Leadership Understanding Management and Leadership 00:42:00 Module 2: Leadership Theories Leadership Theories 00:27:00 Module 3: Improving Management and Leadership Performance Improving Management and Leadership Performance 00:17:00 Module 4: High Performance Teams High Performance Teams 00:34:00 Module 5: Motivating Employees Motivating Employees 00:28:00 Module 6: Organisational Skills Organisational Skills 00:28:00 Module 7: Talent Management Talent Management 00:39:00 Module 8: Succession Planning Succession Planning 00:26:00 Module 9: Business Process Management Business Process Management 00:30:00 Module 10: Communication Skills Communication Skills 00:29:00 Module 11: Negotiation Techniques Negotiation Techniques 00:17:00 Module 12: Managing Meetings and Giving Feedback Managing Meetings and Giving Feedback 00:24:00 Module 13: Managing Change Managing Change 00:24:00 Module 14: Time Management Time Management 00:39:00 Module 15: Stress Management Stress Management 00:17:00 Module 16: Emotional Intelligence in Leadership Emotional Intelligence in Leadership 00:34:00 Module 17: Managing Conflict Managing Conflict 00:24:00 Module 18: Dealing with Office Politics Dealing with Office Politics 00:36:00 Module 19: Risk Management Risk Management 00:37:00 Module 20: Corporate Responsibility and Ethics Corporate Responsibility and Ethics 00:16:00 Module 21:Microsoft Word, Excel, PowerPoint Microsoft Word 08:06:00 Microsoft Excel 03:59:00 Microsoft PowerPoint 08:24:00 Assignment Assignment - Manager Skills: Leading in Management 00:00:00

BalletDots is for pre-schoolers (3yrs+). The classes include an introduction to ballet in a creative, imaginative, nurturing environment.  TRIAL BOOKINGS: Of course you are welcome to watch the trial class but following the trial, WhizzDancers are expected to be independent in the room. TERM BOOKINGS: You are welcome to watch the first class but following this your WhizzDancer will be expected to go in the class independently. You will be expected to provide full uniform. Details will be sent following. We have lots of opportunities ahead for your WhizzDancer including exams and shows. We look forward to meeting them in the studio :) Downstairs Dance Studio Please bring: - Comfortable clothes to move in (no zips or demin) - A teddy - No ballet shoes required for the trial Please contact info@whizzdance.com for more information on how to book your free trial. 

Duration 5 Days 30 CPD hours This course is intended for Experienced Programmers and Systems Administrators. Overview Throughout the course students will be led through a series of progressively advanced topics, where each topic consists of lecture, group discussion, comprehensive hands-on lab exercises, and lab review. This course is ?skills-centric?, designed to train attendees in core Python and web development skills beyond an intermediate level, coupling the most current, effective techniques with best practices. Working within in an engaging, hands-on learning environment, guided by our expert Python practitioner, students 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 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. An Overview of Python What is python? 1 -- 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 Built-in 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 Sequences About sequences Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions Generator Expressions Nested sequences 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 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 The standard library The sys module Launching external programs Math functions Random numbers The string module 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 17 ? Advanced data handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Advanced data handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Network services Grabbing web content Sending email Using SSH for remote access Using FTP Writing real-life applications Parsing command-line options Detecting the current platform Trapping signals Implementing logging Python Timeline Advantages/Disadvantages of Python Getting help with pydoc

Duration 5 Days 30 CPD hours This course is intended for Experienced system administrators, system engineers, and system integrators Overview By the end of the course, you should be able to meet the following objectives: Configure and manage vSphere networking and storage for a large and sophisticated enterprise Use VMware vSphere Client™ to manage certificates Use Identity Federation to configure VMware vCenter Server to use external identity sources Use VMware vSphere Trust Authority™ to secure the infrastructure for encrypted VMs Use host profiles to manage VMware ESXi™ host compliance Create and manage a content library for deploying virtual machines Manage VM resource usage with resource pools Monitor and analyze key performance indicators for compute, storage, and networking resources for ESXi hosts Optimize the performance in the vSphere environment, including vCenter Server This five-day course teaches you advanced skills for configuring and maintaining a highly available and scalable virtual infrastructure. Through a mix of lecture and hands-on labs, you configure and optimize the VMware vSphere© 7 features that build a foundation for a truly scalable infrastructure, and you discuss when and where these features have the greatest effect. Attend this course to deepen your understanding of vSphere and learn how its advanced features and controls can benefit your organization. As an exclusive benefit, those who participate in this course will receive additional premium recorded lecture material on vSphere security. Course Introduction Introductions and course logistics Course objectives Network Scalability Configure and manage vSphere distributed switches Describe how VMware vSphere© Network I/O Control enhances performance Explain distributed switch features such as port mirroring and NetFlow Storage Scalability Explain why VMware vSphere© VMFS is a high-performance, scalable file system Explain VMware vSphere© Storage APIs - Array Integration, VMware vSphere© API for Storage Awareness?, and vSphere APIs for I/O filtering Configure and assign virtual machine storage policies Create VMware vSAN? storage policies Recognize components of the VMware vSphere© Virtual Volumes? architecture Configure VMware vSphere© Storage DRS? and VMware vSphere© Storage I/O Control Host and Management Scalability Use the vSphere Client to manage vSphere certificates Describe identity federation and recognize its use cases Configure identity federation to allow vCenter Server to use external identity provider Describe the benefits and use cases of vSphere Trust Authority Configure vSphere Trust Authority Use host profiles to manage ESXi configuration compliance Create a local content library and subscribe to a published content library Deploy VMs from a content library Create and manage resource pools in a cluster Describe how scalable shares work CPU Optimization Explain the CPU scheduler operation and other features that affect CPU performance Explain NUMA and vNUMA support Use esxtop to monitor key CPU performance metrics Memory Optimization Explain ballooning, memory compression, transparent page sharing, and host-swapping techniques for memory reclamation when memory is overcommitted Use esxtop to monitor key memory performance metrics Storage Optimization Describe storage queue types and other factors that affect storage performance Discuss vSphere support for NVMe and iSER technologies Use esxtop to monitor key storage performance metrics Network Optimization Explain performance features of network adapters Explain the performance features of vSphere networking Use esxtop to monitor key network performance metrics vCenter Server Performance Optimization Describe the factors that influence vCenter Server performance Use VMware vCenter© Server Appliance? tools to monitor resource use Supplemental Content Appendix A: vSphere Auto Deploy Explain the purpose of VMware vSphere© ESXi ? Image Builder CLI Explain the purpose of VMware vSphere© Auto Deploy? Describe how an autodeployed ESXi host boots Configure a vSphere Auto Deploy environment Appendix B: vSphere Security Configure ESXi Host Access and Authentication Recognize strategies for securing vSphere components, such as vCenter Server, ESXi hosts, and virtual machines Describe vSphere support for security standards and protocols Describe virtual machine security features Describe the components of a VM encryption architecture Create, manage, and migrate encrypted VMs Encrypt core dumps List VM encryption events and alarms

Duration 2 Days 12 CPD hours Overview Working in a hands-on learning environment guided by our expert practitioner, students will explore: Introduction to Continuous Integration, Continuous Deployment and Jenkins-CI Installing and Running Jenkins Job Types in Jenkins Securing Jenkins Jenkins Plugin Distributed Builds with Jenkins Continuous Deployment and the Jenkins Pipeline Best Practices for Jenkins Introduction to Jenkins is a two-day, lab intensive hands-on training course geared for experienced programmers who need to learn how to:Install and configure Jenkins in a servlet containerCreate Jenkins buildsConfigure and use Apache Ant and Apache Maven with JenkinsUse Jenkins to generate Java coding standards reports, code coverage reports, and change noticesUse Jenkins to automatically deploy software into a testing environment. Introduction to Continuous Integration, Continuous Deployment and Jenkins-CI Agile Development Agile Development (cont'd) What is Continuous Integration What is Continuous Integration (cont'd) What is Continous Integration (cont'd) Typical Setup for Continuous Integration Continuous Deployment Continuous Deployment (cont'd) DevOps and Continuous Deployment Continuous Deployment Challenges Jenkins Continuous Integration Jenkins Features Running Jenkins Installing and Running Jenkins Downloading and Installing Jenkins Running Jenkins as a Stand-Alone Application Running Jenkins as a Stand-Alone Application (cont'd) Running Jenkins on an Application Server The Jenkins Home Folder Installing Jenkins as a Windows Service Initial Configuration Configuration Wizard Configuration Wizard (cont'd) Configuring Tools Configuring Tools - Best Practices Job Types in Jenkins Different types of Jenkins Items Different types of Jenkins Items (cont'd) Configuring Source Code Management(SCM) Working with Subversion Working with Subversion (cont'd) Working with Git Storing Credentials Storing Credentials (cont'd) Build Triggers Schedule Build Jobs Polling the SCM Maven Build Steps Securing Jenkins Jenkins Security - Overview Jenkins Security Authentication Authorization Confidentiality Activating Security Configure Authentication Using Jenkins's Internal User Database Creating Users Authorization Matrix-Based Security Note ? Create the Administrative User Project-based Matrix Authorization Project-Based Authentication Jenkins Plugin Introduction Jenkins Plugins - SCM Jenkins Plugins ? Build and Test Jenkins Plugins ? Analyzers Jenkins for Teams Installing Jenkins Plugins Distributed Builds with Jenkins Distributed Builds - Overview Distributed Builds ? How? Slave Machines Configure Jenkins Master Configure Projects Continuous Deployment and the Jenkins Pipeline Continuous Deployment Continuous Deployment (cont'd) DevOps and Continuous Deployment Continuous Deployment Challenges Continuous Deployment with Jenkins The Pipeline Plugin The Pipeline Plugin (cont'd) Defining a Pipeline A Pipeline Example Pipeline Example (cont'd) Parallel Execution Creating a Pipeline Invoking the Pipeline Interacting with the Pipeline Best Practices for Jenkins Best Practices - Secure Jenkins Best Practices - Backups Best Practices - Reproducible Builds Best Practices - Testing and Reports Best Practices - Large Systems Best Practices - Distributed Jenkins Additional course details: Nexus Humans Introduction to Jenkins / Jenkins Quick Start (TTDV7520) 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 Jenkins / Jenkins Quick Start (TTDV7520) 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 Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques.Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course.This skills-focused ccombines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Applied AI: Building Recommendation Systems with Python (TTAI2360) 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 Applied AI: Building Recommendation Systems with Python (TTAI2360) 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 This is a basic-level programming course designed for attendees with prior development experience in another language, such as COBOL, 4GL, Mainframe or other non-object oriented languages. This course is not geared for non-developers. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in core OO coding and Java development skills, coupling the most current, effective techniques with the soundest industry practices. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working within in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand what OO programming is and what the advantages of OO are in today's world Work with objects, classes, and OO implementations Understand the basic concepts of OO such as encapsulation, inheritance, polymorphism, and abstraction Understand not only the fundamentals of the Java language, but also its importance, uses, strengths and weaknesses Understand the basics of the Java language and how it relates to OO programming and the Object Model Work with the Modular system (Project Jigsaw) Understand and use classes, inheritance and polymorphism Understand and use collections, generics, autoboxing, and enumerations Process large amount of data using Lambda expressions and the Stream API Abstract, static and private methods in interfaces Take advantage of the Java tooling that is available with the programming environment being used in the class Java 11 features covered: Using the Local Variable Type in Lambda expressions; Updates made to the String API This course provides hands-on Java 11 training for developers who have little or no prior working knowledge of object-oriented programming languages such as C, COBOL, and 4GL. You will learn the best practices for writing great object-oriented programs in Java 11, using sound development techniques, new improved features for better performance, and new capabilities for addressing rapid application development. Special emphasis is placed on object oriented concepts and best practices. A First Look The Java Platform Using the JDK The Eclipse Paradigm Getting Started with Java Writing a Simple Class Adding Methods to the Class OO Concepts Object-Oriented Programming Inheritance, Abstraction, and Polymorphism Essential Java Programming Language Statements Using Strings Specializing in a Subclass Fields and Variables Using Arrays Local-Variable Type Inference Java Packages and Visibility Object Oriented Development Inheritance and Polymorphism Interfaces and Abstract Classes Introduction to Exception Handling Exceptions Java Developer's Toolboxÿ Utility Classes Java Date/Time Advanced Java Programming Introduction to Generics Lambda Expressions and Functional Interface Working with Collections Collections Using Collections Stream APIÿ Streams Collectors The Java Module System Introduction to the Module System Time Permitting Formatting Strings Introduction to Annotations Java 12 and beyond Additional course details: Nexus Humans Basic Java 11 and OO Programming for Developers New to OO (TT2120-J11) 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 Basic Java 11 and OO Programming for Developers New to OO (TT2120-J11) 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 Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview This skills-focused combines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques. Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Building Recommendation Systems with Python (TTAI2360) 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 Building Recommendation Systems with Python (TTAI2360) 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.