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***24 Hour Limited Time Flash Sale*** Data Science & Machine Learning, Excel Pivot & Machine Learning with Python Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Immerse yourself in the world of Data Science, Machine Learning and Python with our exclusive bundle! Presenting eight thoughtfully curated courses, this bundle aims to enhance your understanding of intricate concepts. Within this collection, we proudly offer three QLS-endorsed courses: "2021 Data Science & Machine Learning with R from A-Z", "Excel Pivot Tables, Pivot Charts, Slicers, and Timelines", and "Machine Learning with Python", each complemented by a hardcopy certificate upon completion. Additionally, delve deeper with our five relevant CPD QS accredited courses. Explore Python Data Science with Numpy, Pandas, and Matplotlib. Uncover the secrets of R Programming for Data Science, enhance your statistical prowess with Statistics & Probability for Data Science & Machine Learning, and master spatial visualisation in Python. To top it all, there's a course on Google Data Studio for Data Analytics. Key Features of the Data Science & Machine Learning, Excel Pivot & Machine Learning with Python Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Data Science & Machine Learning, Excel Pivot & Machine Learning with Python bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: 2021 Data Science & Machine Learning with R from A-Z QLS Course 02: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines QLS Course 03: Machine Learning with Python 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Python Data Science with Numpy, Pandas and Matplotlib Course 02: R Programming for Data Science Course 03: Statistics & Probability for Data Science & Machine Learning Course 04: Spatial Data Visualisation and Machine Learning in Python Course 05: Google Data Studio: Data Analytics In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Data Science & Machine Learning, Excel Pivot & Machine Learning with Python courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Master the usage of Excel Pivot Tables, Pivot Charts, Slicers, and Timelines. Develop proficiency in Machine Learning using Python. Acquire skills to manipulate data using Numpy, Pandas, and Matplotlib. Learn to code in R for Data Science applications. Understand the application of Statistics & Probability in Data Science & Machine Learning. Learn to create impactful data visualisations and analyse data using Google Data Studio. The "Data Science & Machine Learning, Excel Pivot & Machine Learning with Python" bundle is a comprehensive compilation designed to equip you with the theoretical knowledge necessary for the fast-evolving data-driven world. The three QLS-endorsed courses provide foundational understanding in Data Science, Machine Learning with R, Excel Pivot functionalities, and Machine Learning with Python, thereby setting a strong base. Furthermore, the five CPD QS accredited courses offer a deeper dive into the world of Data Science. Whether it is harnessing Python's power for data science tasks, exploring R programming, mastering statistical techniques, understanding spatial data visualisation in Python, or learning to navigate Google Data Studio for Data Analytics, this bundle has you covered. With this comprehensive learning experience, gain the theoretical insight needed to navigate and succeed in the dynamic field of data science. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in theoretical concepts of Data Science and Machine Learning. Professionals looking to enhance their knowledge in Excel Pivot Tables and Charts. Aspiring data scientists who want to learn Python and R programming for data science. Anyone seeking to understand data visualisation and analytics through Python and Google Data Studio. Career path Data Scientist: Leveraging data for actionable insights (£40,000 - £90,000 per annum). Machine Learning Engineer: Designing and implementing machine learning systems (£50,000 - £90,000 per annum). Excel Analyst: Using Excel for data analysis and visualisation (£30,000 - £60,000 per annum). Python Developer: Developing applications using Python (£40,000 - £80,000 per annum). Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

Learn basic Database Design, use of Microsoft SQL Management Studio, creating Complex Database Objects & boost up your

Duration 5 Days 30 CPD hours This course is intended for This course is intended for professional web developers who use Microsoft Visual Studio in an individual-based or team-based, small-sized to large development environment. Candidates for this course are interested in developing advanced web applications and want to manage the rendered HTML comprehensively. They want to create websites that separate the user interface, data access, and application logic. Overview Describe the Microsoft Web Technologies stack and select an appropriate technology to use to develop any given application. Design the architecture and implementation of a web application that will meet a set of functional requirements, user interface requirements, and address business models. Configure the pipeline of ASP.NET Core web applications using middleware, and leverage dependency injection across applications. Develop a web application that uses the ASP.NET Core routing engine to present friendly URLs and a logical navigation hierarchy to users. Create Views in an application that display and edit data and interact with Models and Controllers. Connect an ASP.NET Core application to a database using Entity Framework Core. Implement a consistent look and feel across an entire web application. Write JavaScript code that runs on the client-side and utilizes the jQuery script library to optimize the responsiveness of an web application. Add client side packages and configure Task Runners. Run unit tests and debugging tools against a web application in Visual Studio 2022. Write an application that authenticates and authorizes users to access content securely using Identity. Build an application that resists malicious attacks. Use caching to accelerate responses to user requests. Use SignalR to enable two-way communication between client and server. Describe what a Web API is and why developers might add a Web API to an application. Describe how to package and deploy an ASP.NET Core web application from a development computer to a web server. In this 5-day course, professional web developers will learn to develop advanced ASP.NET Core applications using .NET tools and technologies. The focus will be on coding activities that enhance the performance and scalability of the Web site application. Module 1: Exploring ASP.NET Core Introducing of Microsoft Web Technologies Getting Started with Razor Pages in ASP.NET Core Introducing ASP.NET Core MVC Module 2: Designing ASP.NET Core MVC Web Applications Planning in the Project Design Phase Designing Models, Controllers and Views Module 3: Configure Middleware and Services in ASP.NET Core Configuring Middlewares Configuring Services Module 4: Developing Controllers Writing Controllers and Actions Configuring Routes Writing Action Filters Module 5: Developing Views Creating Views with Razor Syntax Using HTML Helpers and Tag Helpers Reusing Code in Views Module 6: Developing Models Creating MVC Models Working with Forms Validating User Input Module 7: Using Entity Framework Core in ASP.NET Core Introduction to Entity Framework Core Working with Entity Framework Core Use Entity Framework Core to connect to Microsoft SQL Server Module 8: Using Layouts, CSS and JavaScript in ASP.NET Core Using Layouts Using CSS and JavaScript Using JavaScript Libraries Module 9: Client-Side Development Applying Styles and Responsive Design Using Task Runners Looking at ASP.NET Core Blazor Module 10: Testing and Troubleshooting Testing ASP.NET Core Applications Implementing an Exception Handling Strategy Logging ASP.NET Core Applications Module 11: Managing Security Authentication in ASP.NET Core Authorization in ASP.NET Core Defending from Common Attack Module 12: Performance and Communication Implementing a Caching Strategy Managing State Supporting Two-way Communication Module 13: Implementing Web APIs Introducing Web APIs Developing a Web API Calling a Web API Module 14: Hosting and Deployment Hosting and Deploying On-premises Deploying to Microsoft Azure Looking at Microsoft Azure Fundamentals

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This course covers the essential topics necessary for working with Microsoft SQL Server. You will understand the various scenarios and techniques to write queries and build and administer databases, along with delving into advanced SQL topics that are in great demand in the industry.

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Create expressive facial animations by using keyframe animation in Unreal Engine 4 and Daz Studio

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

This Photography Composition & Portrait Photography Masterclass is loaded up with tips and directions to fuel up your photography aptitudes and to become an expert photographer who can take great pictures with any camera. Figure out how to communicate through stills by honing your inner creativity and photographer eyes in the most artistic way. This course requires no related knowledge or learning in photography to join up with. You should simply to adhere to the guidance religiously and you will be prepared to become a master photographer in no time. What you'll learn Access Your Built-In Ability To See Creatively Create Simple Yet Powerful Compositions Master The Visual Language Of Photography Master The Creative Photography Process Master The Art Of Portrait Photography Take A Picture That Impresses With Any Camera Understand How Light Works And Its Importance In Photography Take Great Color Images Take Great Black And White Images Take Images Using Some Very Advanced Photography Composition Techniques Take Powerful Portraits Using Just Natural Light Understand How To Set Up A Home Based Portrait Studio On A Budget Master The Classic Studio Lighting Techniques Used In Studio Photography Take Beautiful Portraits Using Flashes And Strobes In A Modern Studio Setting Requirements You Will Need To Have A Passion For Photography You, Will, Need Access To A Camera - A Smartphone Is Sufficient To Get You Started A Brief History of Photography Is It Art 00:08:00 A Brief History Of Photography 00:06:00 The Great Debate 00:09:00 Activities 00:02:00 The Art Of Seeing Introduction 00:01:00 The Ordered Universe 00:08:00 Beauty Detector 00:04:00 Let There Be Light 00:07:00 The Photographer's Playground 00:11:00 Activities 00:01:00 Seeing The Light Introduction 00:01:00 Seeing The Light 00:05:00 Hard Light 00:09:00 Soft Light 00:09:00 Colour Temperature 00:03:00 Activities 00:01:00 Controlling The Light Introduction 00:01:00 Working The Scene 00:02:00 Moving Your Feet 00:08:00 Moving Your Subject 00:07:00 Move Your Light 00:07:00 Activities 00:01:00 Capturing The Light Introduction 00:01:00 Your Camera 00:18:00 The Three Levers 00:11:00 ISO 00:05:00 The Shutter 00:07:00 The Aperture 00:13:00 Activities 00:01:00 Processing The Light Introduction 00:01:00 The Digital Darkroom 00:10:00 Lightroom Edit 00:10:00 Snapseed Edit 00:07:00 Activities 00:01:00 The Core Principles Of Composition Introduction 00:01:00 The Language Of Composition 00:02:00 The Subject 00:08:00 The Environment 00:06:00 Leading The Eye 00:04:00 Evoking Emotion 00:05:00 Symmetry 00:06:00 Activities 00:01:00 The Basic Rules Of Composition Introduction 00:01:00 The Rule Of Thirds 00:09:00 Leading Lines 00:07:00 The Highest Point Of Contrast 00:13:00 Activities 00:01:00 Color Photography Introduction 00:01:00 Adventures In Color 00:06:00 Hue, Saturation, Luminosity 00:03:00 The Color Wheel 00:12:00 Working With Color 00:10:00 Simple Color Edit 00:09:00 Activities 00:01:00 Black And White Photography Introduction 00:01:00 Why Black And White 00:04:00 King Luminosity 00:04:00 A Zone System 00:05:00 Seeing In Black And White 00:06:00 A Simple Black And White Edit 00:07:00 Activities 00:01:00 Controlling The Frame Introduction 00:01:00 In The Frame 00:14:00 Isolating The Subject 00:08:00 Negative Space 00:05:00 Framing Your Subject 00:07:00 Abstract And Geometric Composition Introduction 00:01:00 Abstract Images 00:06:00 Seeing Like An Architect 00:06:00 Strong Visual Elements 00:09:00 Activities 00:01:00 Creative Portraiture Introduction 00:01:00 The In Between Moments 00:05:00 The Eyes 00:08:00 Body Language And Gesture 00:12:00 Activities 00:01:00 Finding Yourself As A Photographer Introduction To Finding Yourself As A Photographer 00:01:00 Creating An Image 00:07:00 Creating A Style 00:08:00 Creating A Series 00:02:00 Creating A Body Of Work 00:03:00 Sharing Your Work 00:06:00 Natural Light Portrait Photography Introduction To Natural Light Portrait Photography 00:01:00 Finding Your Light 00:03:00 Hard Light And Soft Light - A Recap Of The Basics 00:05:00 Outside Soft Light 00:09:00 Inside Soft Light 00:08:00 Outside Hard Light 00:14:00 Inside Hard Light 00:08:00 Finding Your Background - Simple Backgrounds 00:04:00 Finding Your Background - Complex Backgrounds 00:06:00 Posing Your Subject - A Refresher 00:04:00 Projects For Natural Light Photography 00:01:00 Building A Home Based Portrait Studio On A Budget Introduction To Home Based Photography Studio 00:01:00 Finding Your Studio Location 00:06:00 Camera Choices 00:05:00 Lens Choices 00:02:00 Equipment List 00:09:00 Additional Studio Equipment 00:05:00 Basic Studio Lighting Set Up 00:06:00 Finding Clients For Your Business 00:06:00 Recording Your Floor Plans 00:01:00 Dealing With The Public 00:03:00 Activities For Home Based Photography Studio 00:01:00 Classic Studio Portrait Photography Introduction To Classic Studio Portrait Photography 00:01:00 Open Loop Lighting 00:05:00 Closed Loop Lighting 00:05:00 Butterfly Lighting 00:06:00 Split Lighting 00:06:00 Short Lighting 00:04:00 Broad Lighting 00:03:00 Rembrandt Lighting 00:07:00 Studio Backdrops 00:03:00 Preparing The Subject 00:06:00 Choosing The Facial Angle 00:07:00 Posing The Body 00:05:00 Body Poses And Posture 00:03:00 Body Poses - The Light Pose For Males 00:04:00 Body Poses - The Shadow Pose For Females 00:04:00 Group Shots - Basic Core Principles 00:03:00 Couples Shots - Basic Core Principles 00:10:00 Black And White Portrait Tips - A Refresher 00:01:00 Lens Choices In The Studio 00:01:00 Classic Studio Course Activities 00:01:00 Modern Studio Portrait Photography Introduction to Modern Studio Portrait Photography 00:01:00 Studio Lighting Buying Tips 00:03:00 Strobe Modifers Explained 00:05:00 Standard One Light Techniques 00:09:00 Non Standard One Light Techniques 00:08:00 Two Light Techniques 00:07:00 Three Light Techniques 00:08:00 Four Light Techniques 00:08:00 Hollywood Lighting- Advanced Lighting 00:08:00 Modern Studio Photography Activities 00:01:00

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