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Is a great story, nice graphics and engaging gameplay enough to formulate a good game? Not at all! Well-designed characters are also an integral part of it. Our 2D Game Characters Design with Inkscape course is all about creating versatile vector characters with Inkspace. This course introduces simple and fast methods to prepare any character for animation.  If you have a basic knowledge of Inkspace, you can opt for this course. Inkspace is a versatile vector tool which helps to design characters in an easier and faster way. This 2D Game Characters Design with Inkscape course will give a clear understanding of this free software and you'll learn how to design a game character with this tool from scratch. From teaching you the theory of character design to the techniques of animating your characters, this course will familiarise you with the 6 step character design method. What you'll learn Create 2d game characters with Inkscape Evaluate the final character design Prepare the character for animation Requirements You need a computer with Inkscape installed. You will need a pencil and paper for sketching! You need to have a basic knowledge of Inkscape! This is not a beginner course! Who this course is for: Do you need a unique character for your new game? This course is for you! This course is for developers who want to create versatile vector game characters This course is NOT for you if you are an absolute beginner with Inkscape! Introduction and warming up! Introduction FREE 00:02:00 Warming up create a sword and a shield 00:07:00 The theory of character design What makes a good character 00:06:00 My proven character design process 00:05:00 Get inspired! 00:05:00 The importance of sketching 00:03:00 Color theory in character design 00:07:00 Character proportion basics 00:05:00 Game character animation in Inkscape Robot character blueprint 00:12:00 Animation in Inkscape - Part 1. 00:07:00 Animation in Inkscape - Part 2. 00:10:00 Design characters in Inscape Ninja character blueprint 00:16:00 Skeleton warrior character blueprint 00:12:00 RPG warrior character blueprint - Part 1. 00:13:00 RPG warrior character blueprint - Part 2. 00:13:00 RPG warrior character blueprint - Part 3. 00:17:00 Additional tips and tricks about character design Modular character 00:05:00

Earn up to 60k as a 'IT Security Analyst' or Your 100% Money Back The field of IT security is constantly developing, with the UK experiencing a considerable increase in cyber threats, emphasising the necessity for effective IT security measures. With over 800,000 IT security job openings expected by 2024 and an average salary of around £55,000 for IT Security professionals, the field is not just lucrative but also in high demand. This spike in demand highlights the critical need for qualified professionals capable of protecting digital infrastructures. Are you ready to tackle the complexity of IT security and make a difference? This IT Security Job Guarantee Programme is your all-in-one solution to learn IT Security from scratch and also secure a job in this exciting industry. With our unique blend of comprehensive courses and career support, your dream job is within reach. We understand the challenges of transitioning into a new field, which is why our program is tailored to guide you every step of the way - from mastering core skills to landing your first job as an IT security specialist. By choosing our IT Security Job Guarantee Programme, you're not just gaining skills; you're gaining a lifelong career partner. Our mission is simple - to be your trusted partner every step of the way, from training to employment. In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Programmers, so we can help you get your foot in the door. If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our IT Security Job Guarantee Programme today and start your journey to become successful in the IT Security field! Why Choose Us? So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Certified IT Security Job Guarantee Programme: Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some IT Security experience, we will guide you towards honing your skills and developing a strong foundation in the IT Security field. One-On-One Consultation: Gain invaluable insights and guidance from seasoned professionals who have thrived in the IT Security field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise. Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Certified IT Security Professional field. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress. Courses we will provide once you enrol in the program: Course 01: IT Support Technician Course 02: Functional Skills IT Course 03: IT Administration and Networking Course 04: Cyber Security Programming Course 05: Cyber Security Advanced Training Course 06: Cyber Security Incident Handling and Incident Response Course 07: General Data Protection Regulation (GDPR) & Cyber Security Management Course 08: Data Center Training Essentials: General Introduction Course 09: Understanding Data Protection and Data Security Course 10: CompTIA Network Course 11: CompTIA IT Fundamentals ITF+ (FCO-U61) Course 12: CompTIA A+ (220-1001) Course 13: CompTIA A+ (220-1002) Course 14: CompTIA Network+ Certification (N10-007) Course 15: CompTIA Security+ (SY0-601) Course 16: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 17: CompTIA CySA+ Cybersecurity Analyst (CS0-002) Course 18: CompTIA PenTest+ (Ethical Hacking) Course 19: Secure Programming of Web Applications Course 20: Cisco ASA Firewall Training Course 21: IGCSE ICT: Network Essentials Course 22: Information Management Course 23: Cyber Security Law Course 24: Cyber Security Incident Handling and Incident Response How Can We Offer Job Guarantees? HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector. The is IT Security Job Guarantee Programme completed in 9 easy steps: Step 1: Enrol in the Programme Begin your exciting journey with us by enrolling in the IT Security Job Guarantee Programme. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied. After you enrol in the Program, you will get lifetime access to 24 Premium Courses related to IT Security field. These courses will teach you the knowledge and skills required to become a successful IT Security Professional. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing! Step 2: Initial One-On-One Counselling Session Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path. Step 3 - Certification upon Course Completion After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject. Step 4: CV Revamping Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the programming/development industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Step 5: Building Network and Submitting CV We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile. Step 6: Interview Preparation With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills. Step 7: Securing Job Interviews Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want. Step 8: Post-Interview Support Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job. Step 9: Celebrate Your New Job! Once you've secured your dream job in the IT Security field, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role. We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in IT Security field begins with us. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This IT Security Job Guarantee Programme Course is suitable for: Beginners with no prior programming experience who are looking to enter the world of coding. Intermediate programmers who wish to expand their skills and explore IT Security's extensive usage. IT professionals seeking to diversify their skill sets and stay relevant in today's tech-driven market. Data analysts and scientists who want to leverage IT Security's powerful libraries for their data processing needs. Students and recent graduates looking to enhance their employability in the thriving tech industry. Entrepreneurs who wish to understand and utilise IT Security to automate tasks and analyse data for their businesses. Anyone with a keen interest in IT Security programming and a desire to delve into its applications in diverse fields like web development, data science, machine learning, and more. Requirements No experience required. Just enrol & start learning. Career path IT Support Specialist: £25,000 - £55,000 annually Network Administrator: £30,000 - £70,000 annually Cyber Security Consultant: £40,000 - £90,000 annually GDPR Compliance Officer: £35,000 - £75,000 annually Cloud Security Engineer: £45,000 - £100,000 annually Penetration Tester: £35,000 - £95,000 annually Cyber Security Incident Responder: £40,000 - £85,000 annually Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Student ID Card Digital certificate - Included

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Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brandnew version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative dversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 4 Days 24 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

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How to Make a Vision Board That Actually Works. Physically manifest your wildest dreams! Connect thoughts to your vision & get super clear with your direction.