Imagine immersing yourself in the thrilling world of game development, where your creative ideas come to life on the screen. Our Flappy Bird Clone: SFML C++ Game Course offers you a golden ticket to the vibrant heart of the entertainment industry, equipping you with the tools to shape your interactive stories. By mastering SFML and C++, you'll unlock the door to a realm of endless possibilities, where you can recreate the beloved Flappy Bird game or even craft your very own gaming masterpiece. Picture yourself skillfully navigating through each stage of game development, from the initial project setup to the intricate intricacies of game engines and flow control. This is not just about gaining technical skills; it's about cultivating a keen problem-solving mindset that will guide you through any challenges you encounter in your development journey. With each lesson, you'll feel a growing sense of accomplishment and confidence, propelling you closer to your ultimate gaming dream. Now, envision the pride and joy you'll experience as you watch your game come to life, a testament to your hard work and dedication. This Flappy Bird Clone: SFML C++ Game Course isn't just a learning experience; it's a personal journey that taps into your passion and potential, ultimately leading you to your desired destination, be it personal satisfaction, professional growth, or even launching your own game. Take the leap and enrol now, and let's turn those dreams into a tangible, interactive reality that others can experience and enjoy. Learning Outcomes Master the basics of game development in SFML C++. Develop skills in setting up a game project efficiently. Gain proficiency in implementing game engines and mechanics. Learn to create various states for game flow control. Understand and apply game logic for better player experience. Learn to implement game-over scenarios and player retries. Enhance skills in adding extra features to games. Gain knowledge on efficiently managing game resources. Who is this course for? Aspiring game developers looking to enhance their skills. Individuals with an interest in game design and development. Professionals seeking to expand their knowledge in C++ and SFML. Students studying computer science or related fields. Anyone with a passion for games and a curiosity to understand their mechanics. Career Path Game Developer: £25,000 - £50,000 Software Engineer: £30,000 - £70,000 C++ Developer: £30,000 - £60,000 Game Designer: £25,000 - £40,000 Application Developer: £25,000 - £50,000 Certification Once you have completed the course materials for the Flappy Bird Clone: SFML C++ Game Course, you will have the opportunity to take a written assignment test. This can be done either during or at the end of the course. Successful completion of the test will allow you to claim your PDF certificate for a nominal fee of £5.99. If you prefer, original hard copy certificates can be ordered for an additional cost of £9.60. Prerequisites There are no specific qualifications or experience required to enrol in the Flappy Bird Clone: SFML C++ Game Course. Crafted by industry professionals, the course is compatible with PCs, Macs, tablets, and smartphones. As long as you have a stable internet connection, you will have the flexibility to access the course material from anywhere at any time. Course Curriculum Section 01: Introduction Introduction 00:02:00 Section 02: Project Creation & Setup Setup Project - Windows (Visual Studio) 00:14:00 Setup Project - Mac OS X (Xcode) 00:11:00 Section 03: Game Engine Setup State Machine 00:18:00 Asset Manager 00:08:00 Input Manager 00:08:00 Game Loop 00:14:00 Section 04: State Creation Splash State 00:17:00 Main Menu State 00:16:00 Game State 00:07:00 Game Over State 00:04:00 Section 05: Game Logic Pipe Class Setup 00:08:00 Spawn Moving Pipes 00:11:00 Automatically Spawning Pipes and Deleting Them 00:08:00 Create Moving Ground 00:14:00 Randomise Pipe Y Position 00:06:00 Bird Class Setup 00:10:00 Animating the Bird 00:08:00 Fly Bird Fly 00:11:00 Rotate Bird 00:06:00 Collision with the Ground & Game State System 00:15:00 Collision with the Pipes 00:09:00 Flash Screen White upon Death 00:12:00 Scoring System 00:15:00 Displaying the Score 00:18:00 Section 06: Game Over Setup 00:16:00 Display Score 00:08:00 Saving Score 00:06:00 Medals 00:08:00 Section 07: Extras Sound Effects 00:08:00 Hide Console on Windows 00:01:00 Distributing Your Game on Windows 00:03:00 Where to Go Next? 00:07:00 Section 08: Resource Resource - Flappy Bird Clone: SFML C++ Game Course 00:00:00 Assignment Assignment - Flappy Bird Clone: SFML C++ Game Course 00:00:00
Duration 3 Days 18 CPD hours This course is intended for This course is intended for: C|ASE-certified professionals Application security professionals DevOps engineers IT security professionals Cybersecurity engineers and analysts Software engineers and testers Anyone with prior knowledge of application security who wants to build a career in DevSecOps Overview This course empowers you with the knowledge and skills to: Understand DevOps security bottlenecks and remediation Understand the DevSecOps toolchain and implement tools Integrate Eclipse and GitHub with Jenkins to build applications Align security practices Integrate threat modeling tools Understand and implement continuous security testing Integrate runtime application self-protection tools Integrate automated security testing Perform continuous vulnerability scans Use AWS and Azure tools to secure applications. Integrate compliance-as-code tools EC-Council Certified DevSecOps Engineer (E|CDE) is a hands-on, instructor-led comprehensive DevSecOps certification program that helps professionals build the essential skills to design, develop, and maintain secure applications and infrastructure. Course Outline Module 1: Understanding DevOps Culture Module 2: Introduction to DevSecOps Module 3: DevSecOps Pipeline?Plan Stage Module 4: DevSecOps Pipeline?Code Stage Module 5: DevSecOps Pipeline?Build and Test Stage Module 6: DevSecOps Pipeline?Release and Deploy Stage Module 7: DevSecOps Pipeline?Operate and Monitor Stage Additional course details: Nexus Humans EC-Council Certified DevSecOps Engineer (E|CDE) 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 EC-Council Certified DevSecOps Engineer (E|CDE) 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.
Artificial Intelligence isn’t science fiction anymore — it’s shaping the way we search, shop, scroll, and sometimes even spill the tea. This course lays the groundwork for understanding how AI actually works — minus the jargon and dramatic movie scenes. You’ll explore essential concepts such as algorithms, data patterns, logic systems, and machine-based learning models, all presented in a format that makes sense even if your only prior experience with AI is arguing with your phone's voice assistant. Perfect for curious minds across industries, this foundational course covers the key principles that drive AI technologies, from basic neural networks to the role of big data in decision-making. Whether you're brushing up for academic reasons or looking to speak AI without sounding like a tech cliché, you’ll find this course insightful, neatly organised, and refreshingly down-to-earth. All content is delivered online, allowing you to study at your own pace — no awkward group projects or lab goggles required. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 01 : Introduction to Artificial Intelligence Module 02 : Mathematics for AI Module 03 : Knowledge Representation in AI - Part 1 Module 04 : Knowledge Representation in AI - Part 2 Module 05 : Machine Learning - Part 1 Module 06 : Machine Learning - Part 2 Module 07 : Deep Learning Module 08 : Natural Language Processing Module 09 : Computer Vision Module 10 : Robotics Module 11 : Building AI Applications Learning Outcomes: Grasp the fundamentals of artificial intelligence and its applications. Develop a strong mathematical foundation for AI algorithms. Master knowledge representation techniques in AI. Explore the principles and applications of machine learning. Dive into the world of deep learning and its use in AI. Understand the core concepts of natural language processing and computer vision. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Technology enthusiasts eager to delve into AI. Students pursuing a career in AI and machine learning. Professionals seeking to upskill in the AI domain. Engineers and programmers interested in AI development. Entrepreneurs exploring AI for business solutions. Anyone with a curiosity about the future of artificial intelligence. Graduates looking to enhance their tech-related knowledge. Innovators with an interest in robotics and AI applications. Career path AI Research Scientist Machine Learning Engineer Data Scientist Natural Language Processing Engineer Computer Vision Specialist Robotics Software Engineer Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.
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ð Unlock the Power of Data with Our Machine Learning Course! ð¤ Are you ready to dive into the revolutionary world of Machine Learning? Welcome to our comprehensive course designed to equip you with the skills and knowledge needed to harness the potential of data-driven decision-making. ð Machine Learning has rapidly emerged as one of the most transformative technologies of the 21st century. From powering intelligent virtual assistants to revolutionizing healthcare diagnostics, its applications are boundless. With our expertly crafted course, you'll embark on a journey that will demystify the complexities of Machine Learning and empower you to leverage its capabilities for diverse purposes. ð¡ Why Machine Learning? In today's data-driven world, organizations across industries are seeking professionals who can extract actionable insights from vast amounts of data. Machine Learning offers the tools and techniques necessary to analyze complex datasets, identify patterns, and make predictions with unprecedented accuracy. By mastering Machine Learning, you'll gain a competitive edge in the job market and position yourself as a valuable asset to any organization. ð What You'll Learn: Our Machine Learning course covers a wide array of topics, including: Fundamentals of Machine Learning algorithms Supervised, unsupervised, and reinforcement learning techniques Data preprocessing and feature engineering Model evaluation and validation Deep learning and neural networks Practical applications and case studies With hands-on projects and real-world examples, you'll not only understand the theory behind Machine Learning but also gain practical experience in implementing algorithms and solving complex problems. Whether you're a beginner or an experienced data professional, our course is tailored to accommodate learners of all levels. ð Who is this for? Our Machine Learning course is ideal for: Aspiring data scientists and analysts Software engineers looking to transition into Machine Learning roles Business professionals seeking to leverage data for strategic decision-making Students and academics interested in exploring the forefront of technology No matter your background or experience level, our course provides a solid foundation in Machine Learning principles and techniques, setting you on the path to success in this rapidly evolving field. ð Career Path: By mastering Machine Learning, you'll open doors to a myriad of exciting career opportunities, including: Data Scientist Machine Learning Engineer AI Researcher Business Intelligence Analyst Data Engineer With the demand for Machine Learning professionals on the rise, employers are actively seeking individuals with the skills and expertise to drive innovation and deliver impactful solutions. Whether you're looking to advance your current career or embark on a new professional journey, our course will equip you with the tools and knowledge needed to thrive in today's competitive job market. ð¼ FAQ: Q: Is prior programming experience required to enroll in the course? A: While prior programming experience can be beneficial, our course is designed to accommodate learners of all backgrounds. We provide comprehensive tutorials and resources to help you grasp the fundamentals of programming and get started with Machine Learning. Q: How long does it take to complete the course? A: The duration of the course varies depending on your pace and level of commitment. On average, most learners complete the course within 3 to 6 months. However, you have the flexibility to study at your own pace and revisit materials as needed. Q: Are there any prerequisites for enrolling in the course? A: While there are no strict prerequisites, familiarity with basic mathematics, statistics, and programming concepts can be advantageous. We provide supplementary materials and support to help you build the necessary foundation for success in the course. Q: Will I receive a certificate upon completion of the course? A: Yes, upon successfully completing the course requirements, you'll receive a certificate of completion that validates your proficiency in Machine Learning concepts and techniques. This certificate can enhance your credentials and demonstrate your expertise to potential employers. Q: How does the course structure accommodate working professionals? A: Our course offers flexible scheduling options, allowing you to balance your studies with your professional and personal commitments. With on-demand access to course materials and resources, you can learn at your own convenience and progress at a pace that suits your lifestyle. Don't miss out on the opportunity to unlock your full potential with our Machine Learning course! Enroll today and embark on a transformative journey that will shape the future of your career. ð⨠Course Curriculum Module 1_ Introduction to Machine Learning Introduction to Machine Learning 00:00 Module 2_ Linear Regression Linear Regression 00:00 Module 3_ Logistic Regression Logistic Regression 00:00 Module 4_ Decision Trees and Random Forests Decision Trees and Random Forests 00:00 Module 5_ Support Vector Machines (SVMs) Support Vector Machines (SVMs) 00:00 Module 6_ k-Nearest Neighbors (k-NN) k-Nearest Neighbors (k-NN) 00:00 Module 7_ Naive Bayes Naive Bayes 00:00 Module 8_ Clustering Clustering 00:00 Module 9_ Dimensionality Reduction Dimensionality Reduction 00:00 Module 10_ Neural Networks Neural Networks 00:00
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