988 Courses

Mastery of ChatGPT, Chatbots and AI for Chiropractors, Osteopaths, Physiotherapists. Leverage AI to enhance patient and clinic interaction. Agenda 08:45 - 09:00 Registration 09:00 - 09:45 ChatGPT and AI basics 09:45 - 11:00 Prompt Engineering with ChatGPT 11:00 - 11:15 Break - Morning Coffee 11:15 - 13:00 ChatGPT in Healthcare 13:00 - 13:30 Break - Lunch 13:30 - 14:30 AI & ChatGPT for the Clinic 14:30 - 15:15 AI for Patient Engagement 15:15 - 15:30 Break - Afternoon Tea 15:30 - 16:15 Streamlining Clinic Operations 16:15 - 17:00 Best Practices & Strategy 🌟 Introducing: A Revolution in Healthcare Operations! 🌟 Are you a healthcare professional looking to stay ahead of the curve? Dive into the future with Duforest AI's groundbreaking course, meticulously designed just for you! 🔹 Why this course? In a fast-paced healthcare environment, staying updated with the latest technological advancements is not a luxury; it's a necessity. Our course doesn't just introduce you to the realm of prompt engineering and virtual assistants – it shows you how to weave them seamlessly into your practice. Whether you're a chiropractor, osteopath, physiotherapist, or acupuncturist imagine enhancing patient interactions and propelling your practice to unprecedented efficiency. 🔸 Course Highlights: ✓ CPD-accredited for utmost credibility ✓ Tailored approach for chiropractors, osteopaths, physiotherapists, and acupuncturists ✓ Master the art of integrating ChatGPT and other AI tools ✓ Explore ethical considerations, ensuring patient trust and safety ✓ Boost operations with actionable communication strategies 🔹 Join the Future of Healthcare The age of AI in healthcare isn't looming; it's here. This course bridges the gap between the current and the new, ushering in an epoch of healthcare brilliance. It's time you brought the cutting-edge of AI right to your clinic's doorstep. Don't be left in the past. Embrace the future with Duforest AI. Sign up today and stride confidently into a smarter healthcare horizon! Register now for EARLY BIRD pricing and to ensure your participation! Tags Online Events Things To Do Online Online Classes Online Science & Tech Classes #osteopathy #chatbot #ostéopath #chatgpt #chatgpt_training #osteopathy_seminar

Choose this course, if your child is confidently using strings and if statements

Choose this course if your child is new to Python or has done a few hours of Python before. Or, they have a good understanding of block-based platforms like Scratch, and would like to start exploring text-based programming languages.

Start your journey in the cloud computing revolution-what, why, and how!

[vc_row][vc_column][vc_column_text] Description: With the world reaching higher level digitisation day by day, object-oriented (OO) programming is very much on the rise. One of the most highly used OO programming languages is Python. With this Python 3 for Beginners course, you will delve into the world of OO coding and fast-track your career in computer science. This Python 3 course is a guide on how to get started in learning Python, illustrating the benefits of learning Python 3 and how it can be utilised for data science. Web developers love Python because the syntax of the language is clean, and Python code length is relatively short. Working in Python allows you to analyse data rather than focus on the syntax and make the most of its user-friendly data structures.Master programming in Python and discover the fastest and most effective way to learn Python programming language, with this introductory online course. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Python 3 for Beginners is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Python 3 for Beginners is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.[/vc_column_text][/vc_column][/vc_row] Module :01 Installing Python FREE 00:17:00 Documentation 00:30:00 Command Line 00:17:00 Variables 00:29:00 Simple Python Syntax 00:15:00 Keywords 00:18:00 Import Module 00:17:00 Additional Topics 00:23:00 Module :02 If Elif Else 00:31:00 Iterable 00:10:00 For 00:11:00 Loops 00:20:00 Execute 00:05:00 Exceptions 00:18:00 Data Types 00:24:00 Module :03 Number Types 00:28:00 More Number Types 00:13:00 Strings 00:20:00 More Strings 00:11:00 Files 00:08:00 Lists 00:15:00 Dictionaries 00:04:00 Tuples 00:07:00 Sets 00:09:00 Module :04 Comprehensions 00:10:00 Definitions 00:02:00 Functions 00:06:00 Default Arguments 00:06:00 Doc Strings 00:06:00 Variadic Functions 00:07:00 Factorial 00:07:00 Function Objects 00:07:00 Module :05 Lambda 00:11:00 Generators 00:06:00 Closures 00:10:00 Classes 00:09:00 Object Initialization 00:05:00 Class Static Members 00:07:00 Classic Inheritance 00:10:00 Data Hiding 00:07:00 Mock Exam Mock Exam- Python 3 for Beginners 00:20:00 Final Exam Final Exam- Python 3 for Beginners 00:20:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

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

Thinking about learning more about Artificial Intelligence? The BCS Foundation Certificate in Artificial Intelligence is the advanced version of our Essentials Course Artificial Intelligence and includes more detail and insights about algebraic equations, vector calculus and schematics used in artificial intelligence and machine learning for you to learn how this new technology works.

Course Overview Machine learning as a programming technique has shaped the future of technology. In this course, you will learn how to build intelligent handwriting recognition apps from scratch using Python and Core ML. The Machine Learning for Apps Level 4 course will teach you how to take advantage of machine learning to code like a pro and build incredible apps that can make predictions. Designed by industry experts, it covers best practices for managing projects, core concepts for creating your own ML model, building a convolutional neural network, and much more. On successful completion, you will be able to build an amazing handwriting recognition app and convolutional neural network from scratch, and have an in-depth understanding of the core ML basics. This course is ideal for those with a basic understanding of iOS development. This best selling Machine Learning for Apps Level 4 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Machine Learning for Apps Level 4 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Machine Learning for Apps Level 4 is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Machine Learning for Apps Level 4 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Machine Learning for Apps Level 4, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Machine Learning for Apps Level 4 will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Machine Learning for Apps Level 4 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Deal Price is Active! Offer Ends Soon; Hurry Up!! Are you looking to improve your current abilities or make a career move? Our unique Business Intelligence Analyst Course might help you get there! Expand your expertise with high-quality training - study the Business Intelligence Analyst and get an expertly designed, great value training experience. Learn from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career through the online training course. This Diploma in Business Intelligence Analyst at QLS Level 5 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 150 CPD points) to make your skill development & career progression more accessible than ever! Why Prefer This Business Intelligence Analyst Course? Opportunity to earn certificate a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS after completing the Business Intelligence Analyst course Get a free student ID card! (£10 postal charge will be applicable for international delivery) Innovative and engaging content. Free assessments 24/7 tutor support. The Business Intelligence Analyst course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the course, an instant e-certificate will be exhibited in your profile that you can order as proof of your new skills and knowledge. Add these amazing new skills to your resume and boost your employability by simply enrolling on this Business Intelligence Analyst course. With this comprehensive Business Intelligence Analyst course, you can achieve your dreams and train for your ideal career. The course provides students with an in-depth learning experience that they can work through at their own pace to enhance their professional development. You'll get a Free Student ID card by enrolling in this Business Intelligence Analyst course. This ID card entitles you to discounts on bus tickets, movie tickets, and library cards. This Business Intelligence Analyst training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join the Business Intelligence Analyst course today - gear up with the essential skills to set yourself up for excellence! Experts created the Business Intelligence Analyst course to provide a rich and in-depth training experience for all students who enrol in it. Enrol in the course right now and you'll have immediate access to all of the course materials. Then, from any internet-enabled device, access the course materials and learn when it's convenient for you. Start your learning journey straight away with this Business Intelligence Analyst course and take a step toward a brighter future! *** Course Curriculum *** Business Intelligence Analyst Course Module-1: An Introduction to Business Intelligence Module-2: Real-time Business Intelligence Module-3: Fundamentals of Statistics and Data Science Module-4: Fundamentals of SQL Module-5: Database Management Essentials Module-6: Data Warehouse Concepts Module-7: Data Visualisation in Business Intelligence Module-8: Basics of Python Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam.Our expert trainers will assess your assignment and give you feedback after you submit the assignment. After passing the Diploma in Business Intelligence Analyst at QLS Level 5 course exam, you will be able to request a certificate at an additional cost that has been endorsed by the Quality Licence Scheme. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this course. This course is open to everybody. Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this course, you are to start your career or begin the next phase of your career. Certificates Certificate of completion Digital certificate - £10 Diploma in Business Intelligence Analyst at QLS Level 5 Hard copy certificate - £119 Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Business Intelligence Analyst at QLS Level 5, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 119 GBP inside the UK 129 GBP (including postal fees) for International Delivery Certificate Accredited by CPDQS 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (International Delivery)

This course explains how huge chunks of data can be analyzed and visualized using the power of the data analyst toolbox. You will learn Python programming, advanced pivot tables' concepts, the magic of Power BI, perform analysis with Alteryx, master Qlik Sense, R Programming using R and R Studio, and create stunning visualizations in Tableau Desktop.