4541 Courses

Learn new Android APIs such as RoomDatabase, ML Kit for face recognition, Cloud Firestore, Firebase, Maps, and the Android Studio IDE (integrated development environment)

Course List: Python, Go Lang, UX, CSS, Communication Skills Overview Launch your tech career with the Introduction to App Development Mini Bundle. Packed with in-demand skills like Python, Go Lang, UX, CSS, and communication skills, this bundle is perfect for anyone looking to enter software development, UX design, or tech project teams. Employers are seeking candidates who combine technical know-how with effective communication—don’t miss your chance to stand out and get hired. Description The tech industry values not just coding skills but the ability to collaborate and create intuitive user experiences. The Introduction to App Development Mini Bundle brings together Python, Go Lang, UX, CSS, and communication skills—all essential to today’s app development roles. Mastering Python opens doors in backend development, data processing, and automation, while Go Lang skills position you for scalable, performance-critical applications. UX knowledge ensures you can design user-friendly interfaces, a top priority in app success and employer demand. Complementing this, CSS skills allow you to style and adapt user interfaces seamlessly, enhancing user satisfaction and accessibility. Strong communication skills tie it all together—whether collaborating with developers, designers, or stakeholders, employers want clear, effective communicators. Together, Python, Go Lang, UX, CSS, and communication skills give you the versatility and polish to become a standout candidate in tech. FAQ Q: Who should take this bundle? Anyone aiming for a career in app development, UX design, or tech project roles. Q: Will this bundle help me get hired? Yes. Employers actively seek candidates with Python, Go Lang, UX, CSS, and communication skills. Q: Do I need prior coding experience? No. This bundle supports beginners eager to build a solid foundation. Q: Why enroll now? The demand for app developers and UX professionals is growing rapidly. Get qualified before competition intensifies.

Computer Specialist Diploma is one of our best selling and most popular course. This course is suitable for anyone aspiring to or already working in Computer Specialist and looks at skills needed to improve Computer Specialist. By taking this course you will gain the necessary skills to perform effectively in this field. The Computer Specialist Diploma is organised into 4 modules and includes everything you need to become successful in this profession. To make this course more accessible for you, we have designed it for both part-time and full-time students. You can study at your own pace or become an expert in just 22 hours! If you require support, our experienced tutors are always available to help you throughout the comprehensive syllabus of this course and answer all your queries through email. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post.

The Computer Programming Training Diploma Level 3 course is for the people who have a keen desire to learn to programme and want to build a career in computer programming. In the course, you will be introduced to the primary computer programming skills such as the fundamental terminology of software development, computer fundamentals including types of PC, output devices, etc. In the programming session, basic programming language, DATA blocks, BASIC Probability Functions, BASIC Special Variables will be thoroughly discussed. Finally, the course presents the job statistic that will showcase the opportunity of a skilled computer programmer. your interest. Course Highlights The price is for the whole course including final exam - no hidden fees Accredited Certificate upon successful completion at an additional cost Efficient exam system with instant results Track progress within own personal learning portal 24/7 customer support via live chat Computer Programming Training Diploma Level 3 has been given CPD accreditation and is one of the best-selling courses available to students worldwide. This valuable course is suitable for anyone interested in working in this sector or who simply wants to learn more about the topic. If you're an individual looking to excel within this field then Computer Programming Training Diploma Level 3 is for you. We've taken this comprehensive course and broken it down into several manageable modules which we believe will assist you to easily grasp each concept - from the fundamental to the most advanced aspects of the course. It really is a sure pathway to success. All our courses offer 12 months access and are designed to be studied at your own pace so you can take as much or as little time as you need to complete and gain the full CPD accredited qualification. And, there are no hidden fees or exam charges. We pride ourselves on having friendly and experienced instructors who provide full weekday support and are ready to help with any of your queries. So, if you need help, just drop them an email and await a speedy response. Furthermore, you can check the validity of your qualification and verify your certification on our website at anytime. So, why not improve your chances of gaining professional skills and better earning potential. Assessment and Certification At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. After you have successfully passed the final exam, you will be able to order an Accredited Certificate of Achievement at an additional cost of £19 for a PDF copy and £29 for an original print copy sent to you by post or for both £39. Career Path Not only does our CPD and CiQ accredited course look good on your CV, setting you apart from the competition, it can be used as a stepping stone to greater things. Further advance your learning, launch a new career or reinvigorate an existing one. On successful completion of this course, you have the potential to achieve an estimated salary of £30,000. The sky really is the limit. Course Curriculum Computer Fundamentals Basic Terms 00:15:00 Types of Computers 00:15:00 Anatomy of a PC 00:30:00 How a PC Works 00:15:00 CPU and Memory 00:30:00 Input Devices 00:15:00 Output Devices 00:15:00 Secondary Storage Devices 00:30:00 The Basics 00:15:00 Operating Systems and Applications 00:30:00 How is Software Built 00:15:00 Types of Software 00:15:00 Legal Issues 00:15:00 COMPUTER PROGRAMMING 101 COMPUTER PROGRAMMING 101 01:00:00 WHAT IS COMPUTER PROGRAMMING AND WHY SHOULD I CARE? 00:30:00 What a Programmer Does 01:00:00 COMPUTER PROGRAMMING AT A GLANCE COMPUTER PROGRAMMING AT A GLANCE 01:00:00 UNDERSTANDING THE LANGUAGE OF THE COMPUTER 00:30:00 Choosing a Language 00:30:00 BASIC PROGRAMMING LANGUAGE BASIC Programming Language 01:00:00 Getting Started with BASIC Programming Language 01:00:00 BASIC Overview of BASIC Components 01:00:00 BASIC Special Variables 01:00:00 BASIC Probability Functions 01:00:00 Filtering the Data Set or Splitting the Data Set 01:00:00 DATA Blocks 01:00:00 DELETE Statement 01:00:00 FOR…NEXT Statement 01:00:00 IF. . . THEN Statement 01:00:00 JOB STATISTICS AT A GLANCE Computer Programming 01:00:00 Employment Outlook 00:15:00 How to Find A Great Job After Graduation 01:00:00 Additional Supporting Material Learn to Program with C 04:00:00 Mock Exam Mock Exam - Computer Programming Training Diploma Level 3 00:20:00 Final Exam Final Exam - Computer Programming Training Diploma Level 3 00:20:00

Course Overview The demand for iOS apps is increasing every day. If you want to build your career as an app developer or programmer, learning iOS app development will be a smart choice for you. Learn how to create iOS apps using Swift 5 from this Build your first iOS 14 apps using swift 5 course and take your first step to be a pro developer. This course will help you understand Swift coding and solve your problems with app development. In this Build your first iOS 14 apps using swift 5 course, you will learn about the functions of Swift programming, variables and types, operations, collections, flow control, classes and inheritance. You will be able to create your first iOS app using swift 5 and enhance your skill to start your career as an iOS app developer.  This course will help you understand the app development process step by step with easily understandable bite-sized lessons.  Learning Outcomes Get a clear understanding of the fundamentals of iOS and Swift development Learn iOS development programming from scratch Be able to operate Swift 5 Learn the functions of Swift 5 Learn what you should consider before making an iOS app Gain the skills to be an efficient app developer Who is this course for? This course is designed for you to learn how to design iOS applications using swift 5. Anyone interested in app development can learn effective app development skills from this course Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path Build your first iOS 14 apps using swift 5 is a useful qualification to possess and would be beneficial for any related profession or industry such as: Ios Developers Programmers Designers Unit 01: Introduction Module 01: Setup 00:02:00 Module 01: A Quick Reminder 00:01:00 Unit 02: Variables and Types in Swift Programming Module 01: Variables Strings and Constants in Swift 00:08:00 Module 02: Solution - Variables Strings and Constants in Swift 00:01:00 Module 03: Variables and Numbers in Swift 00:07:00 Module 04: Solution - Variables and Numbers in Swift 00:01:00 Module 05: Type conversions in Swift - Danger Will Robinson 00:05:00 Module 06: Solution - Type conversions in Swift - Danger Will Robinson 00:02:00 Module 07: Tuple Types in Swift 00:05:00 Module 08: Solution - Tuple Types in Swift 00:02:00 Unit 03: Optionals in Swift and the Null Problem Module 01: Optionals Nulls and Variables in Swift 00:05:00 Module 02: Solution - Optionals Nulls and Variables in Swift 00:01:00 Unit 04: Operators in Swift Module 01: Operators in Swift - Assignment Arithmetic and Concatenation 00:04:00 Module 02: Solution - Operators in Swift - Assignment Arithmetic and Concatenation 00:01:00 Module 03: Operators in Swift - Unary Compound Logic and Comparison 00:04:00 Unit 05: Collections in Swift Module 01: Collections in Swift - Arrays 00:05:00 Module 02: Solution - Collections in Swift - Arrays 00:02:00 Module 03: Collections in Swift - Sets 00:06:00 Module 04: Collections in Swift - Dictionaries 00:05:00 Module 05: Solution - Collections in Swift - Dictionaries 00:03:00 Unit 06: Flow Control in Swift Module 01: Controlling Flow in Swift - for in loops 00:08:00 Module 02: Solution - Controlling Flow in Swift - for in loops 00:03:00 Module 03: Controlling Flow in Swift - While loops 00:04:00 Module 04: Solution - Controlling Flow in Swift - While loops 00:02:00 Unit 07: Conditional Statements in Swift Module 01: Conditional Statements in Swift - If Else 00:04:00 Module 02: Solution - Conditional Statements in Swift - If Else 00:02:00 Module 03: Conditional Statements in Swift - Switch Case 00:04:00 Module 04: Solution - Conditional Statements in Swift - Switch Case 00:02:00 Unit 08: Control Transfer in Swift Module 01: Control Transfer in Swift - continue break fallthrough return throw 00:06:00 Unit 09: Functions in Swift Module 01: Functions in Swift 00:10:00 Module 02: Solution - Functions in Swift 00:03:00 Module 03: Nested Functions in Swift 00:04:00 Module 04: Solution - Nested Functions in Swift 00:03:00 Unit 10: Enumerations in Swift Module 01: Enumerations in Swift 00:05:00 Module 02: Solution - Enumerations in Swift 00:01:00 Unit 11: Classes and Inheritance in Swift Module 01: Classes in Swift 00:05:00 Module 02: Solution 1 - Classes in Swift 00:02:00 Module 03: Solution 2 - Classes in Swift 00:02:00 Module 04: Inheritance in Swift 00:07:00 Module 05: Solution - Inheritance in Swift 00:04:00 Unit 12: Your First iOS App Module 01: Your First iOS App and Familiarisation 00:05:00 Module 02: The Key iOS Project Files 00:06:00 Module 03: How to Implement a Button in the User Interface 00:05:00 Module 04: How to Connect a Button to Code in Xcode 00:05:00 Module 05: Writing Code to Change a Views Appearance and a TASK 00:02:00 Module 06: Solution to the Task and If Else View Colors 00:07:00 Unit 13: Temperature Conversion App - iOS Layouts Positioning and Buttons Module 01: A Preview of the App We Will Build 00:01:00 Module 02: Create the App and Its User Interface 00:02:00 Module 03: iOS Layouts and Positioning 00:10:00 Module 04: Connecting UI Elements to Code 00:05:00 Module 05: Converting Temperature via Button Click 00:06:00 Module 06: Adding a Bit of Excellence to the UI and a Task for You 00:06:00 Module 07: Task Solution - Adding a Conversions Counter Label 00:07:00 Unit 14: Gods App - Navigation Table Views and Data Passing Module 01: What we are Building 00:02:00 Module 02: Creating the GreekGod Data Model 00:06:00 Module 03: Navigation Controllers in iOS 00:06:00 Module 04: Creating Fake Gods 00:04:00 Module 05: How to Set Up a Table View and Its Controller 00:11:00 Module 06: Task Solution - How to Fix the Table View 00:04:00 Module 07: How to Navigate from Table View to New View in iOS 00:04:00 Module 08: Create a View Controller for the Detail View 00:03:00 Module 09: Passing Data from Table View to View Controller 00:04:00 Module 10: Setting up a Detail View Controller with Passed Data 00:11:00 Module 11: Using Images and ImageViews in Swift - And a Task 00:04:00 Module 12: Solution to the Task 00:04:00 Unit 15: Will I Burn App - Accessing APIs and Device Hardware - GPS Module 01: Preview of the App We Will Make 00:02:00 Module 02: Structures Instead of Classes 00:05:00 Module 03: How to Request Permissions and Capabilities in iOS 00:04:00 Module 04: Requesting User Permissions in iOS - Part 2 00:09:00 Module 05: Requesting User Permissions in iOS - Part 3 00:07:00 Module 06: Creating a SWEET User Interface 00:09:00 Module 07: Task - Connect the UI to Code 00:01:00 Module 08: Connecting User Interface to Code 00:02:00 Module 09: Action Sheet Alerts in iOS 00:05:00 Module 10: Update a Label and Thoughts on Storage 00:03:00 Module 11: User Defaults Storage in iOS 00:05:00 Module 12: Getting and Setting User Defaults in iOS 00:04:00 Module 13: Getting a Location in Latitude and Longitude in iOS Apps 00:04:00 Module 14: Selecting an API Provider for Your Apps 00:07:00 Module 15: Generating an API Key and Exploring the Docs 00:04:00 Module 16: Create an API Access Class in Swift 00:04:00 Module 17: Using Third Party Libraries in iOS - AlamoFire 00:06:00 Module 18: How to Use AlamoFire in iOS 00:08:00 Module 19: How to Extract JSON Data from an API Call 00:06:00 Module 20: Performing Background Calculations in iOS 00:06:00 Module 21: Performing Background Calculations in iOS - Part 2 00:07:00 Module 22: Activity Indicators in iOS and Swift 00:07:00 Module 23: Local Notifications in iOS 00:06:00 Module 24: Solution to the Task - UI Smoothing 00:05:00 Unit 16: Whatsapp Clone Using Google Firebase Module 01: Preview of What We're Building 00:03:00 Module 02: Should you Choose Firebase or Firestore 00:10:00 Module 03: Create a Firebase Application 00:03:00 Module 04: Installing Firebase in your iOS App 00:09:00 Module 05: Firebase Authentication Options 00:05:00 Module 06: Designing the Auth Screen 00:10:00 Module 07: Connecting UI to Code 00:04:00 Module 08: Showing the Auth Screen 00:11:00 Module 09: Validating User Input for Firebase Authentication 00:08:00 Module 10: Register a User in Firebase 00:05:00 Module 11: Logging in via Firebase 00:06:00 Module 12: Set Activity Indicator to Show Network Processing 00:07:00 Module 13: How to Reset a Firebase User Password 00:11:00 Module 14: How to Prevent Dismissal of a View Controller 00:02:00 Module 15: Setting up a Table View and Cell Manually 00:11:00 Module 16: Connecting a TableView and ViewController Manually 00:05:00 Module 17: Implementing TableView Functions in the ViewController 00:06:00 Module 18: Listening to Firebase Data Streams on iOS 00:09:00 Module 19: Demo with Dummy Data 00:03:00 Module 20: Using a TextField Delegate in iOS 00:03:00 Module 21: Sending Data from iOS to Firebase Database 00:05:00 Module 22: Well Done and a Couple HARD TASKS with NO SOLUTION 00:05:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Joe Griffin reviews past theories and new research findings (which add further evidence for his own theory) as he tells the riveting story of how he solved the mystery of our dreams… Why does Nature select certain experiences to be the subject of our dreams? Why do they feel so meaningful to us? And what purpose do they serve? Fascinating - makes a lot of sense!SUPPORT WORKER Why take this course The renowned Irish psychologist Joe Griffin’s illuminating lecture answers these questions and many more as he takes us through the story of how he solved the mystery of why we dream – and discovered at the same time the significance of dreaming for our mental health. In the 20 years since Griffin first published his hypothesis, every new piece of dream and sleep research has substantiated it – none has contradicted it. In this talk, he examines the evidence and explains why other dream theories fail to come up with satisfactory answers. (His own 12 year research project was prompted by the realisation that the discovery of the REM state in 1953 meant Freudian and Jungian dream theories were ‘dead in the water’.) Whilst describing his own experiments and the key ‘light bulb’ moments which finally helped him solve this age-old mystery, he takes us on a fasincating exploration of the significance of various scientific findings in the field – some previously overlooked – before demonstrating how his expectation fulfilment theory of dreams succinctly pulls them together into a powerful explanation that makes absolute evolutionary and common sense. Nature, as ever, has been clever and economical. I appreciated how such a complex theory was expressed in a way that anyone could relate to and understand. Many ThanksNIKI What you will learn The auto-symbolic process Why all dreams have to be metaphorical to prevent false memories building up Metaphorical pattern-matching Why we evolved to suppress emotions Why dreaming was Nature’s way of conserving energy Why dreaming evolved to maintain the integrity of mammalian instincts The connection between unfulfilled emotional expectations and nightmares Dream predictions Why all mammals dream and more… Who is this course suitable for? If you deal professionally with members of the public in difficult, stressful circumstances, this course – presented without jargon – is for you If you counsel or treat angry people, this training is for you If anger is affecting you personally – or you would simply like to deepen your understanding of anger and its effects – this course will be of benefit to you too The many insights and practical applications that have stemmed from Griffin’s highly original work intro why we dream have huge significance for us all – and they have been quietly revolutionising the successful treatment of mental health and behavioural problems for years through the human givens approach to psychology, psychotherapy and education, co-founded by Joe Griffin and Ivan Tyrrell.

Are you fascinated with Netflix and YouTube recommendations and how they accurately recommend content that you would like to watch? Are you looking for a practical course that will teach you how to build intelligent recommendation systems? This course will show you how to build accurate recommendation systems in Python using real-world examples.

Master the essentials of accounting for business triumph with our comprehensive course. Explore financial statements, budgeting, risk management, and investment analysis. Uncover the role of accountants, delve into auditing, and fortify your knowledge in ethical financial practices. Elevate your skills for a successful career in today's dynamic business world.

Unlock your creative potential with our "Ceramics Mastery: Pottery & Sculpting Skills" course. Explore hand-building, wheel throwing, surface decoration, and more. Master the art of ceramics with expert guidance. Enroll now to sculpt your artistic journey!

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.