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This Business English tutoring course is designed to help adult learners improve their English language skills within a professional context. Participants will focus on developing their communication skills, vocabulary, and cultural understanding necessary for success in the business world. Through practical exercises, role-plays, and industry-specific materials, learners will enhance their ability to effectively communicate in English within various business situations.  Course Duration: 12 weeks (48 sessions) Course Objectives: By the end of this course, participants will: 1. Communicate confidently and effectively in English within a business setting. 2. Expand business-related vocabulary and improve language accuracy. 3. Develop listening skills to understand business conversations and presentations. 4. Enhance reading comprehension skills for business-related texts. 5. Write accurately and coherently for business correspondence. Course Outline: Week 1: Introduction to Business English - Introduction to course objectives, expectations, and methodology - Assessment of participants' current language proficiency and individual learning goals - Overview of key business English skills and areas of focus Week 2: Business Communication Skills - Developing effective oral communication skills for business settings - Role-plays and discussions related to common business scenarios - Enhancing fluency, clarity, and confidence in expressing ideas and opinions Week 3: Business Vocabulary Expansion - Expanding business-related vocabulary and terminology - Exercises and activities to reinforce and practice key business terms - Incorporating industry-specific jargon into oral and written communication Week 4: Business Writing Skills - Improving writing skills for business correspondence - Practice exercises for emails, reports, memos, and other business documents - Enhancing clarity, coherence, and professional tone in written communication Week 5: Listening and Comprehension in Business Contexts - Developing listening skills to understand business conversations, presentations, and meetings - Authentic listening materials related to various business topics - Strategies for note-taking, understanding accents, and extracting key information Week 6: Reading and Comprehension for Business - Developing reading skills for business-related texts - Strategies for skimming, scanning, and understanding complex business documents - Identifying main ideas, supporting details, and summarising key information Week 7: Business Presentation Skills - Developing effective presentation skills for business contexts - Techniques for organising content, engaging the audience, and delivering impactful presentations - Practice sessions with feedback and guidance Week 8: Business Negotiation Skills - Enhancing negotiation skills for business interactions - Role-plays and practical exercises for successful negotiations - Polishing language and strategies for effective business communication Week 9: Business Etiquette and Cultural Understanding - Understanding business etiquette and cultural nuances in professional settings - Developing intercultural communication skills for international business contexts - Practicing effective communication in diverse and multicultural environments Week 10: Business Networking and Socialising - Developing language skills for networking and socialising in business contexts - Role-plays and exercises for effective communication at conferences, events, etc. - Polishing conversational skills, small talk, and building professional relationships Week 11: Business Grammar and Language Accuracy - Reviewing and reinforcing essential grammar rules and structures in a business context - Identification and correction of common errors in business writing and speaking - Exercises and activities to improve language accuracy Week 12: Review and Final Evaluation - Reviewing course content and addressing individual needs - Comprehensive review exercises for all language skills in a business context - Final evaluation and feedback session Note: This syllabus serves as a guideline and can be customised based on the specific needs, interests, and proficiency levels of the participants. The course may also include guest speakers or industry-specific case studies to provide further immersion and practical application of language skills.

Consistent 11+ Reading is vital to build an extensive vocabulary for all aspects of the 11+ English Exams. Excellent vocabulary is what ultimately brings 11+ English Exam Success and top results.

This English Exam Preparation course is specifically designed for adult learners who are preparing to take an English language proficiency exam, such as IELTS, TOEFL, or Cambridge exams. Participants will focus on developing the necessary skills and strategies to achieve a successful outcome in their chosen exam. Through targeted practice, exam-specific tasks, and personalised feedback, learners will gain confidence and proficiency in all sections of the exam. Course Duration: 12 weeks (48 sessions) Course Objectives: By the end of this course, participants will: 1. Understand the format and requirements of the chosen English language proficiency exam. 2. Develop effective strategies for each section of the exam. 3. Enhance reading, writing, listening, and speaking skills within the context of the exam. 4. Expand vocabulary and improve language accuracy for exam-specific tasks. 5. Practice time management techniques to complete tasks within the allocated time. Course Outline: Week 1: Introduction to the Exam - Introduction to the chosen English language proficiency exam - Overview of the exam format, sections, and scoring criteria - Assessment of participants' current language proficiency and individual learning goals Week 2: Reading Skills and Strategies - Understanding different question types in the reading section - Developing reading skills for comprehension, skimming, and scanning - Practice exercises and strategies to improve speed and accuracy Week 3: Writing Skills and Strategies - Analyzing the writing tasks and requirements of the exam - Developing skills for organising ideas, structuring paragraphs, and coherence - Practice exercises for different writing tasks (essays, reports, letters, etc.) Week 4: Listening Skills and Strategies - Identifying question types and understanding the listening section format - Developing listening skills for main ideas, details, and inference - Practice exercises and strategies for improving listening accuracy and note-taking Week 5: Speaking Skills and Strategies - Understanding the speaking section requirements and assessment criteria - Developing skills for fluency, coherence, and pronunciation - Practice exercises for different speaking tasks (interviews, presentations, etc.) Week 6: Vocabulary Expansion for Exam Tasks - Expanding vocabulary in specific topics and themes relevant to the exam - Practice exercises to reinforce and use new vocabulary effectively - Techniques for deducing meaning from context and using appropriate vocabulary Week 7: Grammar and Language Accuracy - Reviewing and reinforcing essential grammar rules and structures - Identification and correction of common grammar errors in exam tasks - Exercises and activities to improve language accuracy in writing and speaking Week 8: Time Management and Exam Strategies - Strategies for time management and prioritizing tasks during the exam - Practice exercises to improve speed and efficiency in completing tasks - Tips and techniques for maximizing scores in each section Week 9: Mock Exam: Reading and Writing - Simulating a complete reading and writing section of the exam - Timed practice sessions to replicate exam conditions - Detailed feedback and analysis of strengths and areas for improvement Week 10: Mock Exam: Listening and Speaking - Simulating a complete listening and speaking section of the exam - Timed practice sessions to replicate exam conditions - Detailed feedback and analysis of strengths and areas for improvement Week 11: Exam Strategies Review and Practice - Reviewing and reinforcing exam strategies for each section - Targeted practice exercises to address specific challenges and areas of improvement - Individualised feedback and guidance based on participants' performance Week 12: Final Evaluation and Exam Tips - Comprehensive review of all exam sections and strategies - Final evaluation to assess participants' progress and readiness for the exam - Tips for managing test anxiety and mental preparation for the exam Note: This syllabus is a guideline and can be customised based on the specific exam requirements and the needs, interests, and proficiency levels of the participants. The course may also include additional topics or activities to cater to learners' specific goals or areas of focus.

This English for Specific Purposes (ESP) tutoring course is designed to cater to the specific language needs of adult learners in their professional or academic fields. Participants will focus on developing their communication skills in English within their specific area of expertise. Through targeted lessons, practical exercises, and industry-specific materials, learners will enhance their ability to effectively communicate in English within their professional or academic contexts.  Course Duration: 10 weeks (40 sessions) Course Objectives: By the end of this course, participants will: 1. Communicate confidently and effectively in English within their specific field. 2. Expand industry-specific vocabulary and terminology. 3. Develop listening skills to understand specialised language and accents. 4. Enhance reading comprehension skills for professional or academic texts. 5. Write accurately and coherently for specific purposes within their field. Course Outline: Week 1: Introduction and Needs Analysis - Introduction to course objectives, expectations, and ESP methodology - Conducting a needs analysis to identify participants' specific language requirements - Establishing individual learning goals and expectations within their field of expertise Week 2: Speaking Skills for Specific Purposes - Developing effective oral communication skills for professional or academic contexts - Practicing role-plays, presentations, and discussions within participants' fields - Enhancing fluency and confidence in expressing ideas and opinions Week 3: Listening Skills for Specific Purposes - Developing listening skills to understand specialised language, accents, and speech patterns - Authentic listening materials related to participants' field of expertise - Strategies for effective note-taking and comprehension of specialised content Week 4: Vocabulary Expansion within Participants' Field - Expanding industry-specific vocabulary and terminology - Exercises and activities to reinforce and practice specialized vocabulary - Incorporating technical terms and jargon into spoken and written communication Week 5: Reading Comprehension for Professional/Academic Texts - Developing reading skills for professional or academic texts within participants' fields - Strategies for skimming, scanning, and understanding complex texts - Identifying main ideas, supporting details, and summarizing key information Week 6: Writing Skills for Specific Purposes - Improving writing skills for specific purposes within participants' field - Practice exercises for writing reports, proposals, academic papers, etc. - Enhancing clarity, coherence, and professional tone in written communication Week 7: Presentation and Public Speaking Skills - Developing effective presentation skills within participants' field - Techniques for organizing content, engaging the audience, and delivering impactful presentations - Practice sessions with feedback and guidance Week 8: Negotiation and Business Communication Skills - Enhancing negotiation and business communication skills for professional contexts - Role-plays and practical exercises for effective communication in meetings, negotiations, etc. - Polishing language and strategies for successful business interactions Week 9: Cross-Cultural Communication - Understanding cultural nuances and adapting communication styles within participants' field - Developing intercultural communication skills for international professional contexts - Practicing effective communication in multicultural environments Week 10: Review and Final Evaluation - Reviewing course content and addressing individual needs - Comprehensive review exercises for all language skills within participants' field - Final evaluation and feedback session Note: This syllabus serves as a guideline and can be customised based on the specific needs, interests, and proficiency levels of the participants. The course may also include guest speakers or industry-specific field trips to provide further immersion and practical application of language skills.

This General English tutoring course is designed for adult learners who want to improve their overall English language proficiency. Participants will focus on developing their speaking, listening, reading, and writing skills in a variety of everyday contexts. Through interactive activities, discussions, and authentic materials, learners will gain confidence and fluency in using English for both social and practical purposes. Course Duration: 12 weeks (48 sessions) Course Objectives: By the end of this course, participants will: 1. Communicate confidently and effectively in English in various everyday situations. 2. Expand vocabulary and improve language accuracy. 3. Develop listening skills to understand different accents and speech patterns. 4. Enhance reading comprehension skills for various types of texts. 5. Write accurately and coherently for different purposes. Course Outline: Week 1: Introduction to General English - Introduction to course objectives, expectations, and methodology - Assessment of participants' current language proficiency and individual learning goals - Overview of key language skills and areas of focus Week 2: Speaking and Conversation Skills - Developing oral communication skills for everyday conversations - Role-plays and discussions on common topics and situations - Enhancing fluency, pronunciation, and vocabulary in spoken English Week 3: Vocabulary Expansion - Expanding general vocabulary and idiomatic expressions - Exercises and activities to reinforce and practice new words and phrases - Incorporating vocabulary into oral and written communication Week 4: Grammar and Language Accuracy - Reviewing and reinforcing essential grammar rules and structures - Identification and correction of common errors in speaking and writing - Exercises and activities to improve language accuracy Week 5: Listening and Comprehension Skills - Developing listening skills to understand different accents and speech patterns - Authentic listening materials such as dialogues, podcasts, and videos - Strategies for understanding main ideas, details, and specific information Week 6: Reading and Comprehension Skills - Developing reading skills for different types of texts (articles, short stories, etc.) - Strategies for skimming, scanning, and understanding written information - Identifying main ideas, supporting details, and inferring meaning from context Week 7: Writing Skills: Emails and Messages - Improving writing skills for everyday correspondence (emails, messages, etc.) - Practice exercises for clarity, coherence, and appropriate tone - Polishing grammar, vocabulary, and sentence structure in written communication Week 8: Writing Skills: Informal and Formal Writing - Developing writing skills for informal and formal purposes (letters, essays, etc.) - Techniques for organising ideas, supporting arguments, and expressing opinions - Practice exercises for clarity, coherence, and appropriate style in written communication Week 9: Pronunciation and Intonation - Developing clear and accurate pronunciation skills - Focus on individual sounds, stress, rhythm, and intonation patterns - Practice exercises and activities for improved spoken English Week 10: Everyday Practical English - Enhancing language skills for everyday practical situations (shopping, dining, etc.) - Role-plays and interactive exercises for real-life communication - Polishing conversational skills, expressions, and cultural understanding Week 11: Cultural Understanding and Communication - Understanding cultural nuances in English-speaking countries - Developing intercultural communication skills for effective interactions - Practising respectful and inclusive language in diverse environments Week 12: Review and Final Evaluation - Reviewing course content and addressing individual needs - Comprehensive review exercises for all language skills - Final evaluation and feedback session Note: This syllabus is a guideline and can be customised based on the specific needs, interests, and proficiency levels of the participants. The course may also include additional topics or activities to cater to learners' specific goals or areas of interest.

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.

Step by Step explanation of each topics in C Language with lots of programs.

Java training course description A comprehensive introduction of the Java language and environment. It is important to note that the course will assume that the delegates are already familiar with the C language as this enables more advanced features of the Java language to be covered in the course. The course will also give an overview of areas related to programming in Java. What will you learn Describe the Java architecture. Write Java applets and applications. Debug Java programs. Examine existing code and determine its function. Use multimedia extensions, the awt, multithreading, exceptions within Java Java training course details Who will benefit: Those wishing to program in Java. Prerequisites: Complete C programming Duration 5 days Java training course contents Review of UNIX fundamentals What is Java? What Java is, history of Java, reasons for success. The Java Virtual Machine, Bytecodes, getting up and running with Java, Java resources. Simple Java applications. C features in Java Java data structures, Java flow control, differences from C, arrays, strings and packages. OO features in Java Java classes and objects, inheritance, overloading, packages. Differences from C++. Java applets Applications vs. applets, HTML, the applet tag, applet methods, life cycle, testing and debugging. Multimedia applets Images, sounds, fonts, colours and animation. Java products The JDK in detail, other development environments. Javabeans and JDBC overviews. Abstract Window Toolkit JFC and Swing versus AWT. Event handling (JDK 1.1), GUIs, panels, buttons, lists, scrollbars, text areas, frames… Exception handling and multithreading Handling exceptions. Starting, pausing, stopping threads, producers, consumers, monitoring. More standard classes Java file I/O, Streams, The system class. The networking model, java.net classes. Security and Java Types of attack, the security manager, craplets, securing the network. Integrating legacy code with Java

Duration 5 Days 30 CPD hours This course is intended for This course is intended for anyone who is new to software development and wants, or needs, to gain an understanding of programming fundamentals and object-oriented programming concepts. They will typically be high school students, post-secondary school students, or career changers, with no prior programming experience. They might want to gain an understanding of the core programming fundamentals before moving on to more advanced courses such as Programming in C#. Overview Explain core programming fundamentals such as computer storage and processing. Explain computer number systems such as binary. Create and use variables and constants in programs. Explain how to create and use functions in a program. Create and use decisions structures in a computer program. Create and use repetition (loops) in a computer program. Explain pseudocode and its role in programming. Explain the basic computer data structures such as arrays, lists, stacks, and queues. Implement object-oriented programming concepts. Create and use classes in a computer program. Implement encapsulation, inheritance, and polymorphism. Describe the base class library (BCL) in the .NET Framework. Explain the application security concepts. Implement simple I/O in a computer program. Identify application errors and explain how to debug an application and handle errors. Identify the performance considerations for applications. In this 5-day course, students will learn the basics of computer programming through the use of Microsoft Visual Studio 2022 and the Visual C# and Visual Basic programming languages. The course assumes no prior programming experience and introduces the concepts needed to progress to the intermediate courses on programming, Programming in C#. The focus will be on core programming concepts such as computer storage, data types, decision structures, and repetition by using loops. The course also covers an introduction to object-oriented programming covering classes, encapsulation, inheritance, and polymorphism. Coverage is also included around exception handling, application security, performance, and memory management. 1 - Introduction to Core Programming Concepts Computer Data Storage and Processing Application Types Application Lifecycle Code Compilation 2 - Core Programming Language Concepts Syntax Data Types Variables and Constants 3 - Program Flow Introduction to Structured Programming Concepts Introduction to Branching Using Functions Using Decision Structures Introducing Repetition 4 - Algorithms and Data Structures Understand How to Write Pseudocode Algorithm Examples Introduction to Data Structures 5 - Error Handling and Debugging Introduction to Program Errors Introduction to Structured Error Handling Introduction to Debugging 6 - Introduction to Object-Oriented Programming Introduction to Complex Structures Introduction to Structs Introduction to Classes Introducing Encapsulation 7 - More Object-Oriented Programming Introduction to Inheritance Introduction to Polymorphism Introduction to .NET and the Base Class Library 8 - Introduction to Application Security Authentication and Authorization Code Permissions on Computers Introducing Code Signing 9 - Core I/O Programming Using Console I/O Using File I/O 10 - Application Performance and Memory Management Value Types vs Reference Types Converting Types The Garbage Collector Additional course details: Nexus Humans 55337 Introduction to Programming 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 55337 Introduction to Programming 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 4 Days 24 CPD hours This course is intended for Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure. AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage?Azure AI Services,?Azure AI Search, and?Azure OpenAI. The course will use C# or Python as the programming language. Prerequisites Before attending this course, students must have: Knowledge of Microsoft Azure and ability to navigate the Azure portal Knowledge of either C# or Python Familiarity with JSON and REST programming semantics Recommended course prerequisites AI-900T00: Microsoft Azure AI Fundamentals course 1 - Prepare to develop AI solutions on Azure Define artificial intelligence Understand AI-related terms Understand considerations for AI Engineers Understand considerations for responsible AI Understand capabilities of Azure Machine Learning Understand capabilities of Azure AI Services Understand capabilities of the Azure Bot Service Understand capabilities of Azure Cognitive Search 2 - Create and consume Azure AI services Provision an Azure AI services resource Identify endpoints and keys Use a REST API Use an SDK 3 - Secure Azure AI services Consider authentication Implement network security 4 - Monitor Azure AI services Monitor cost Create alerts View metrics Manage diagnostic logging 5 - Deploy Azure AI services in containers Understand containers Use Azure AI services containers 6 - Analyze images Provision an Azure AI Vision resource Analyze an image Generate a smart-cropped thumbnail 7 - Classify images Provision Azure resources for Azure AI Custom Vision Understand image classification Train an image classifier 8 - Detect, analyze, and recognize faces Identify options for face detection analysis and identification Understand considerations for face analysis Detect faces with the Azure AI Vision service Understand capabilities of the face service Compare and match detected faces Implement facial recognition 9 - Read Text in images and documents with the Azure AI Vision Service Explore Azure AI Vision options for reading text Use the Read API 10 - Analyze video Understand Azure Video Indexer capabilities Extract custom insights Use Video Analyzer widgets and APIs 11 - Analyze text with Azure AI Language Provision an Azure AI Language resource Detect language Extract key phrases Analyze sentiment Extract entities Extract linked entities 12 - Build a question answering solution Understand question answering Compare question answering to Azure AI Language understanding Create a knowledge base Implement multi-turn conversation Test and publish a knowledge base Use a knowledge base Improve question answering performance 13 - Build a conversational language understanding model Understand prebuilt capabilities of the Azure AI Language service Understand resources for building a conversational language understanding model Define intents, utterances, and entities Use patterns to differentiate similar utterances Use pre-built entity components Train, test, publish, and review a conversational language understanding model 14 - Create a custom text classification solution Understand types of classification projects Understand how to build text classification projects 15 - Create a custom named entity extraction solution Understand custom named entity recognition Label your data Train and evaluate your model 16 - Translate text with Azure AI Translator service Provision an Azure AI Translator resource Specify translation options Define custom translations 17 - Create speech-enabled apps with Azure AI services Provision an Azure resource for speech Use the Azure AI Speech to Text API Use the text to speech API Configure audio format and voices Use Speech Synthesis Markup Language 18 - Translate speech with the Azure AI Speech service Provision an Azure resource for speech translation Translate speech to text Synthesize translations 19 - Create an Azure AI Search solution Manage capacity Understand search components Understand the indexing process Search an index Apply filtering and sorting Enhance the index 20 - Create a custom skill for Azure AI Search Create a custom skill Add a custom skill to a skillset 21 - Create a knowledge store with Azure AI Search Define projections Define a knowledge store 22 - Plan an Azure AI Document Intelligence solution Understand AI Document Intelligence Plan Azure AI Document Intelligence resources Choose a model type 23 - Use prebuilt Azure AI Document Intelligence models Understand prebuilt models Use the General Document, Read, and Layout models Use financial, ID, and tax models 24 - Extract data from forms with Azure Document Intelligence What is Azure Document Intelligence? Get started with Azure Document Intelligence Train custom models Use Azure Document Intelligence models Use the Azure Document Intelligence Studio 25 - Get started with Azure OpenAI Service Access Azure OpenAI Service Use Azure OpenAI Studio Explore types of generative AI models Deploy generative AI models Use prompts to get completions from models Test models in Azure OpenAI Studio's playgrounds 26 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 27 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 28 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 29 - Generate images with Azure OpenAI Service What is DALL-E? Explore DALL-E in Azure OpenAI Studio Use the Azure OpenAI REST API to consume DALL-E models 30 - Use your own data with Azure OpenAI Service Understand how to use your own data Add your own data source Chat with your model using your own data 31 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution