11934 Guide courses

Level 5 QLS Endorsed Course | Endorsed Certificate Included | Plus 5 Career Guided Courses | CPD Accredited

Level 5 QLS Endorsed Course | Endorsed Certificate Included | Plus 5 Career Guided Courses | CPD Accredited

Level 5 QLS Endorsed Course | Endorsed Certificate Included | Plus 5 Career Guided Courses | CPD Accredited

Level 5 QLS Endorsed Course | Endorsed Certificate Included | Plus 5 Career Guided Courses | CPD Accredited

Level 5 QLS Endorsed Course | Endorsed Certificate Included | Plus 5 Career Guided Courses | CPD Accredited

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.

Course Overview: This comprehensive course on Coaching & Mentoring is designed to provide learners with the essential skills and knowledge required to excel in guiding and developing individuals. Covering the core principles of coaching and mentoring, the course explores key processes, ethical considerations, and effective communication techniques. By the end of the course, learners will be equipped with the expertise to support others in achieving personal and professional growth. The course is suitable for professionals looking to enhance their leadership abilities and individuals seeking to make a positive impact through coaching and mentoring. Course Description: The Coaching & Mentoring course delves into the fundamental aspects of coaching and mentoring, including setting objectives, managing the coaching process, and understanding ethical responsibilities. Topics such as coaching and mentoring models, communication skills, and personal development are explored in detail. Learners will acquire a thorough understanding of the skills needed to guide individuals effectively, fostering growth in both personal and professional contexts. This course ensures learners develop a well-rounded approach to coaching and mentoring, preparing them for success in a variety of roles and industries. Course Modules: Module 01: Introduction to Coaching and Mentoring Module 02: Coaching and Mentoring: Objectives & Processes Module 03: Ethical Aspects of Coaching and Mentoring Module 04: Coaching and Mentoring Models Module 05: Effective Communication Skills Module 06: Personal Skills Module 07: Management Skills Module 08: Functional Skills (See full curriculum) Who is this course for? Individuals seeking to enhance their coaching and mentoring skills. Professionals aiming to develop their leadership and team management capabilities. Beginners with an interest in coaching, mentoring, and personal development. Anyone looking to contribute to the growth and success of others in a professional setting. Career Path: Coaching Specialist Mentoring Consultant Leadership Development Coach HR Professional with coaching expertise Team Leader or Manager with a focus on employee growth

Learn to Make a Fresh Start in Your Life Course Overview "Learn to Make a Fresh Start in Your Life" is an empowering course designed to guide individuals in making significant life changes. Through structured modules, learners will explore a variety of strategies and techniques that can help transform their mindset, improve decision-making, and embrace new opportunities. This course offers clear, actionable advice and valuable tools to aid in navigating transitions, whether personal or professional. By the end, learners will have the confidence to initiate positive changes and take charge of their futures, with a deeper understanding of self-improvement and growth. Course Description This course takes an in-depth approach to the process of starting anew, covering key topics such as goal setting, overcoming obstacles, building resilience, and managing change. Learners will explore methods for clarifying their values, identifying priorities, and creating a step-by-step plan for success. Emphasis is placed on the importance of mental and emotional well-being when making life transitions. The course fosters a reflective learning environment, encouraging learners to apply concepts to their personal situations, ultimately equipping them with skills to make informed decisions and embrace new possibilities with confidence. Learn to Make a Fresh Start in Your Life Curriculum Module 01: Starting Fresh Module 02: Understanding Your Values and Goals Module 03: Building Resilience for Change Module 04: Overcoming Mental Barriers Module 05: Creating and Implementing a Personal Plan Module 06: Navigating Obstacles and Staying Motivated Module 07: Embracing New Opportunities (See full curriculum) Who is this course for? Individuals seeking to make positive life changes. Professionals aiming to pivot or grow in their careers. Beginners with an interest in self-improvement. Anyone looking to enhance their personal development. Career Path Life Coach Personal Development Consultant HR or Organisational Development Specialist Career Coach Motivational Speaker Wellness and Mental Health Practitioner

Recruiting Talent and Termination Procedure Course Overview: This comprehensive course on "Recruiting Talent and Termination Procedure" provides an in-depth understanding of the recruitment process, effective interviewing methods, and employee termination procedures. Learners will explore a wide range of topics, from creating effective recruitment strategies to managing employee terminations in a legal and ethical manner. The course offers practical value by equipping learners with the necessary knowledge and skills to excel in HR roles and manage critical HR processes. On completion, learners will be prepared to contribute effectively to recruitment and employee management within an organisation. Course Description: This course covers the entire recruitment lifecycle, including the development of recruitment models, selection methods, and the nuances of human resource management. Key topics include virtual interviewing techniques, employee on-boarding strategies, and the legal and procedural aspects of employee termination. Through a structured learning experience, learners will develop skills in recruitment planning, interview preparation, and managing the complexities of terminating employment. With a focus on the latest HR practices, the course ensures learners are prepared to handle recruitment and termination tasks with professionalism and confidence. Recruiting Talent and Termination Procedure Curriculum: Module 01: Introduction to Recruitment Process Model Module 02: Recruitment Methods Module 03: Human Resource Management Module 04: Key Skills and Issues in Recruitment Function Module 05: Virtual Interviewing Module 06: Employee On-Boarding Module 07: Introduction to The Employee Termination Module 08: The Employee Termination Procedure Module 09: Employee Termination Letter and Guide (See full curriculum) Who is this course for? Individuals seeking to enhance their understanding of recruitment and employee management. Professionals aiming to advance their career in HR or recruitment. Beginners with an interest in human resource management. HR practitioners seeking to update their skills in recruitment and termination processes. Career Path: HR Manager Recruitment Consultant Talent Acquisition Specialist Employee Relations Officer HR Coordinator HR Director

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