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Game Development Course is suitable for anyone aspiring to or already working in this field or simply want to learn deeper into game Development Course. You will be able to add this qualification to your CV by downloading your certificate instantly without any cost. To make this course more accessible for you, we have designed it for both part-time and full-time students. This course is packed into bite-size module for your convenience. You can study at your own pace or become accredited within 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. Do you want to become a Gaming Developer? Producing a game that will make people spend money on claims skills and a lot of hard work. Become a Gaming Developer with our most recommended Game Development Course by going through step by step tutorials, and develop a game. This course will provide you with an initiation to game creation, and explains you the crucial tools. Learn the basics of designing a game and grasp about complex 2D & 3D game creation software available in the market. This course will be ideal to help you in discovering how to develop your games and become a professional developer. Who is the course for? Game makers or developers who want to improve their game development skills. People who have an interest in game development and software. 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. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Game Development Course - Updated Version Introduction to game logo design The first question to ask 00:02:00 My game logo design process 00:03:00 The importance of sketching 00:03:00 Basic logos Simple racing game logo design 00:12:00 Simple horror game logo design 00:17:00 Simple logo for a puzzle game 00:18:00 Complex logo designs Cute cartoon game logo design - Part 1 00:14:00 Cute cartoon game logo design - Part 2 00:18:00 Design a sci-fi logo using negative space - Part 1 00:08:00 Design a sci-fi logo using negative space - Part 2 00:16:00 Cartoon fantasy RPG game logo design -Part 1 00:15:00 Cartoon fantasy RPG game logo design -Part 2 00:14:00 Grunge zombie shooter game logo design - Part 1 00:11:00 Grunge zombie shooter game logo design - Part 2 00:19:00 Game Development Course - Old Version Introduction To Game Creation 00:30:00 Essential Tools 01:00:00 Basics of Game Design 01:00:00 2D Game Creation Software 01:00:00 3D Game Creation Software 01:00:00 3D Game Creation 00:30:00 Game Modification 01:00:00 How To Create a Game on a Social Site 00:30:00 Wrapping Up 00:15:00 Additional Supporting Materials 2D Game 00:00:00 Game Development XNA GameStudio 00:00:00 Mock Exam Mock Exam-Game Development Course 00:20:00 Final Exam Final Exam-Game Development Course 00:20:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

A course by Sekhar Metla IT Industry Expert RequirementsNo pre-knowledge is required - enthusiasm is all you need!, you will be trained from scratchNo paid software required - all coding will be created with open sourceA PC or Mac computer with access to the internetNo programming experience needed. You will learn everything you need to know Audience Beginners - Those who are new to web development and want to learn both frontend and backend technologies. Frontend Developers looking to expand their skills and venture into backend development to enhance their career opportunities. Backend Developers seeking to gain expertise in frontend technologies to be able to build complete web applications and work on both ends of the development stack. Aspiring Full Stack Developers Individuals who aspire to work as full stack developers and want to gain a comprehensive understanding of the entire web development process. Web Designers - who want to complement their design skills with coding abilities and create fully functional web applications. Software Engineers interested in strengthening their skills and knowledge in full stack development to contribute effectively to end-to-end projects. Computer Science Students studying computer science or related fields who wish to get hands-on experience and practical knowledge in web development. Career Changers Professionals from other industries who want to transition into the field of web development and need a complete understanding of full stack technologies. Who wants to become a Full stack developer curious about full stack development and data science Audience Beginners - Those who are new to web development and want to learn both frontend and backend technologies. Frontend Developers looking to expand their skills and venture into backend development to enhance their career opportunities. Backend Developers seeking to gain expertise in frontend technologies to be able to build complete web applications and work on both ends of the development stack. Aspiring Full Stack Developers Individuals who aspire to work as full stack developers and want to gain a comprehensive understanding of the entire web development process. Web Designers - who want to complement their design skills with coding abilities and create fully functional web applications. Software Engineers interested in strengthening their skills and knowledge in full stack development to contribute effectively to end-to-end projects. Computer Science Students studying computer science or related fields who wish to get hands-on experience and practical knowledge in web development. Career Changers Professionals from other industries who want to transition into the field of web development and need a complete understanding of full stack technologies. Who wants to become a Full stack developer curious about full stack development and data science

Are you ready to embark on an enlightening journey of wisdom with the GIS Training bundle, and pave your way to an enriched personal and professional future? If so, then Step into a world of knowledge with our course bundle - GIS Training: Remote Sensing & Spatial Analysis in ArcGIS. Delve into eight immersive CPD Accredited courses, each a standalone course: Course 01: Intensive Training on QGIS for Beginners Course 02: Introduction to GIS and ArcGIS Course 03: Develop Smart Maps with Python and Leaflet - Windows Version Course 04: Remote Sensing in ArcGIS Course 05: Spatial Analysis in ArcGIS Course 06: The Basics of ArcGIS for Hydrology Course 07: Python for Spatial Analysis in ArcGIS Course 08: Watershed delineation in ArcGIS Pro and Map Display in ArcGIS Traverse the vast landscapes of theory, unlocking new dimensions of understanding at every turn. Let the GIS Training: Remote Sensing & Spatial Analysis in ArcGIS bundle illuminate your path to wisdom. The GIS Training: Remote Sensing & Spatial Analysis in ArcGIS bundle offers a comprehensive exploration into a rich tapestry of vast knowledge across eight carefully curated courses. The journey is designed to enhance your understanding and critical thinking skills. Each course within the bundle provides a deep-dive into complex theories, principles, and frameworks, allowing you to delve into the nuances of the subject matter at your own pace. In the framework of the GIS Training: Remote Sensing & Spatial Analysis in ArcGIS package, you are bestowed with complimentary PDF certificates for all the courses included in this bundle, all without any additional charge. Adorn yourself with the GIS Training bundle, empowering you to traverse your career trajectory or personal growth journey with self-assurance. Register today and ignite the spark of your professional advancement! So, don't wait further and join the GIS Training: Remote Sensing & Spatial Analysis in ArcGIS community today and let your voyage of discovery begin! Learning Outcomes: Attain a holistic understanding in the designated areas of study with the GIS Training bundle. Establish robust bases across each course nestled within the GIS Training bundle. Decipher intricate concepts through the articulate content of the GIS Training bundle. Amplify your prowess in interpreting, scrutinising, and implementing theories. Procure the capacity to engage with the course material on an intellectual and profound level. Become proficient in the art of problem-solving across various disciplines. Stepping into the GIS Training bundle is akin to entering a world overflowing with deep theoretical wisdom. Each course within this distinctive bundle is an individual journey, meticulously crafted to untangle the complex web of theories, principles, and frameworks. Learners are inspired to explore, question, and absorb, thus enhancing their understanding and honing their critical thinking skills. Each course invites a personal and profoundly enlightening interaction with knowledge. The GIS Training bundle shines in its capacity to cater to a wide range of learning needs and lifestyles. It gives learners the freedom to learn at their own pace, forging a unique path of discovery. More than just an educational journey, the GIS Training bundle fosters personal growth, enabling learners to skillfully navigate the complexities of the world. The GIS Training bundle also illuminates the route to a rewarding career. The theoretical insight acquired through this bundle forms a strong foundation for various career opportunities, from academia and research to consultancy and programme management. The profound understanding fostered by the GIS Training bundle allows learners to make meaningful contributions to their chosen fields. Embark on the GIS Training journey and let knowledge guide you towards a brighter future. CPD 80 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals keen on deepening their firm understanding in the respective fields. Students pursuing higher education looking for comprehensive theory modules. Professionals seeking to refresh or enhance their knowledge. Anyone with a thirst for knowledge and a passion for continuous learning. Career path Armed with the GIS Training bundle, your professional journey can reach new heights. The comprehensive theoretical knowledge from this bundle can unlock diverse career opportunities across several fields. Whether it's academic research, consultancy, or programme management, the GIS Training bundle lays a solid groundwork. Certificates CPD Certificate Of Completion Digital certificate - Included 8 Digital Certificates Are Included With This Bundle CPD Quality Standard Hardcopy Certificate (FREE UK Delivery) Hard copy certificate - £9.99 Hardcopy Transcript - £9.99

Dive into the comprehensive world of Entity Framework Core with this detailed course, designed to equip you with the skills to efficiently use EF Core in .NET applications.

The course starts with requirements gathering and ends with implementation, which are the two main elements of software development. Through this course, you will learn to use UML diagrams to analyze and design classes and to highlight relationships between the classes. You will also learn to implement and program the design in C++, C#, and Java.

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 course covers essential topics required for working with data structures and algorithms using JavaScript. From basics of data structures and algorithms to key concepts, such as arrays, lists, Big O time-space asymptomatic analysis, trees, and maps, this course will teach you everything with the help of engaging examples and activities.

Through this course, you will learn to transform yourself from a passive learner who watches to one who sees the process of learning for what it truly is-a mechanism to better oneself. You will build 40 amazing applications to master the concepts of computer science and Python programming.

Overview This comprehensive course on Computer Science: Graph Theory Algorithms will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Computer Science: Graph Theory Algorithms comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Computer Science: Graph Theory Algorithms. It is available to all students, of all academic backgrounds. Requirements Our Computer Science: Graph Theory Algorithms is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 17 sections • 44 lectures • 08:37:00 total length •Promo: 00:03:00 •Introduction: 00:14:00 •Common Problem: 00:10:00 •Depth First Search: 00:11:00 •Breadth First Search: 00:08:00 •Breadth First Search Shortest Path on a Grid: 00:17:00 •Storage and Representation of Trees: 00:10:00 •Beginner Tree Algorithms: 00:10:00 •Rooting Tree: 00:05:00 •Center(s) of a Tree: 00:06:00 •Isomorphisms in Trees: 00:11:00 •Isomorphisms in Trees Source Code: 00:10:00 •Lowest Common Ancestor: 00:17:00 •Topological Sort: 00:14:00 •Shortest and Longest Paths on DAGs: 00:10:00 •Khan's Algorithm: 00:13:00 •Dijkstra's Shortest Path Algorithm: 00:25:00 •Dijkstra's Shortest Path Algorithm Source Code: 00:09:00 •Bellman-Ford Algorithm: 00:15:00 •Floyd-Warshall Algorithm: 00:16:00 •Floyd-Warshall Algorithm Source Code: 00:09:00 •Algorithm to Find Bridges and Articulation Points: 00:20:00 •Algorithm to Find Bridges and Articulation Points Source Code: 00:09:00 •Tarjan's Algorithm for Finding Strongly Connected Components: 00:17:00 •Tarjan's Algorithm for Finding Strongly Connected Components Source Code: 00:07:00 •Travelling Salesman Problem (TSP) with Dynamic Programming: 00:21:00 •Travelling Salesman Problem (TSP) with Dynamic Programming Source Code: 00:14:00 •Existence of Eulerian Paths and Circuit: 00:10:00 •Finding Eulerian Paths and Circuits: 00:16:00 •Eulerian Paths Source Code: 00:08:00 •Prim's Minimum Spanning Tree Algorithm (Lazy Version): 00:15:00 •Prim's Minimum Spanning Tree Algorithm ( Eager Version): 00:15:00 •Prim's Minimum Spanning Tree Algorithm Source Code ( Eager Version): 00:09:00 •Max Flow Ford-Fulkerson Method: 00:13:00 •Max Flow Ford-Fulkerson Method Source Code: 00:17:00 •Network Flow: Unweighted Bipartite Graph Matching: 00:11:00 •Network Flow: Mice and Owls: 00:08:00 •Network Flow: Elementary Math: 00:11:00 •Network Flow: Edmond-Karp Algorithm: 00:06:00 •Network Flow: Edmond-Karp Algorithm Source Code: 00:10:00 •Network Flow: Capacity Scaling: 00:10:00 •Network Flow: Capacity Scaling Source Code: 00:06:00 •Network Flow: Dinic's Algorithm: 00:12:00 •Network Flow: Dinic's Algorithm Source Code: 00:09:00