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Learning Objectives Introduction , Building a Basic InDesign Document , Customizing the Workspace , Modifying the Layout , Understanding Pages Panel , Working with Text , Formatting Text , Working with Color , Using Styles , Modifying Graphics , Managing Objects and Layers , Adding and Transforming Shapes , Using Effects , Working with Tables , Exporting the Document to Other Formats , Conclusion Pre-Requisites Basic computer skills.  Description This introductory course is designed to introduce students to the basic functionality and user interface of Adobe InDesign CC. In this course, Students will learn to navigate InDesign, build documents, add text and graphics, and customize the workspace. Students will also learn to modify the layout, manage pages, modify text, modify graphics, work with color, apply effects, and add and transform shapes. In addition, students will learn to manage objects and layers, format text, use styles, work with tables, export documents, and prepare for printing. Introduction to the Course Introduction 00:01:00 Section 01 Overview of InDesign 00:03:00 Touring the InDesign Interface 00:10:00 Customizing Preferences 00:09:00 Building a Document 00:09:00 Advanced Document Settings 00:09:00 Adding Graphics 00:06:00 Adding Text 00:03:00 Section 02 Using Panels and Workspace Presets 00:10:00 Document Views 00:08:00 Understanding the Control Panel 00:04:00 Section 03 Changing the Document Setup 00:06:00 Section 04 Adding, Moving, and Deleting Pages 00:06:00 Using Master Pages 00:10:00 Section 05 Selecting Text 00:03:00 Understanding Text Frame Options 00:09:00 Importing Text 00:06:00 Threading Text 00:05:00 Using Special Characters 00:10:00 Using Spell Check 00:07:00 Using the Story Editor 00:04:00 Section 06 Character Formatting 00:11:00 Advanced Character Formatting 00:10:00 Paragraph Formatting 00:10:00 Section 07 Basics of Color 00:06:00 Working with Swatches 00:08:00 Creating Swatches 00:08:00 Making Spot Color Swatches 00:03:00 Working with the Color Panel 00:05:00 Creating and Using Gradients 00:08:00 Section 08 Basics of Style 00:01:00 Managing Paragraph Styles 00:10:00 Managing Character Styles 00:05:00 Using Object Styles 00:08:00 Section 09 Defining Graphic Types 00:07:00 Placing Multiple Graphics 00:04:00 Selecting Graphics 00:05:00 Fitting Options 00:07:00 Updating Graphics 00:07:00 Placing Photoshop and Illustrator Files 00:05:00 Section 10 Managing Layers 00:10:00 Aligning and Grouping Objects 00:06:00 Wrapping Text Around an Object 00:07:00 Section 11 Adding Vector Shapes 00:08:00 Drawing Vector Lines 00:08:00 Selecting and Moving Frames 00:07:00 Scaling Arrowheads 00:05:00 Section 12 Using the Effects Panel 00:08:00 Using the Blend Modes 00:04:00 Adding and Removing Effects 00:03:00 Section 13 Creating Tables 00:10:00 Formatting Tables and Cells 00:08:00 Using Table and Cell Styles 00:08:00 Section 14 Preflighting your Document 00:09:00 Packaging your Document 00:09:00 Printing your Document 00:09:00 Converting to PDF 00:06:00 Course Recap Recap 00:01:00 Final Exam Final Exam - Adobe InDesign CC Beginner 00:20:00

🚀 Unlock the Power of Data with Our Machine Learning Course! 🤖 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. 🎓 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. 💡 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. 📈 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. 📊 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. 🌟 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. 💼 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. 🌐✨ 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

This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds

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Adobe Illustrator Certification Looking to master Adobe Illustrator? Our online course based in Singapore is the perfect solution for you! Designed to cater to both beginners and advanced users, our course covers all aspects of Adobe Illustrator from the basics to the more advanced techniques. Our team of experienced instructors will guide you through the course, providing you with personalized attention to ensure that you receive the most out of your learning experience. Our online course platform allows you to learn at your own pace and from the comfort of your own home. You will have access to a wide range of resources including video tutorials, practice exercises, and interactive quizzes to reinforce your learning. By the end of the course, you will have developed a solid understanding of Adobe Illustrator and the skills needed to create professional designs. You will also receive a certificate of completion, which will demonstrate your proficiency in the software to potential employers. Join our online Adobe Illustrator course in Singapore today and unleash your creativity! In this course, you will learn: Introduction to Adobe Illustrator and its interface Basic and advanced tools and features of Adobe Illustrator Techniques for creating vector graphics, illustrations, and logos Color theory and typography in design How to manipulate and edit images using Adobe Illustrator Designing for print and digital media Tips and tricks for efficient workflow and time-saving techniques Best practices for creating professional designs Developing a portfolio to showcase your work and skills Join our online course today to start your journey towards mastering Adobe Illustrator! Course Benefits: Learn at your own pace and from the comfort of your own home Access to a wide range of resources including video tutorials, practice exercises, and interactive quizzes to reinforce your learning Personalized attention and guidance from experienced instructors Develop a solid understanding of Adobe Illustrator and the skills needed to create professional designs Receive a certificate of completion, which will demonstrate your proficiency in the software to potential employers Improve your job prospects and career opportunities in the graphic design and creative industries Build a portfolio of work to showcase your skills and attract potential clients or employers Join a community of like-minded individuals who are passionate about graphic design and Adobe Illustrator Stay up-to-date with the latest trends and techniques in graphic design and Adobe Illustrator

Adobe InDesign is the industry-leading DTP software for designing and layout of professional documents for the web, print, as well as for mobile devices such as tablets or smartphones. If you are one of them who are interested in digital publishing then this Adobe InDesign CC Introduction will be the perfect starting point for you! You will learn the fundamentals of InDesign as we guide you through this comprehensive introduction to the leading desktop-publishing program. You will learn how to create and export attractive, simple documents. The course will teach you how to combine text and graphics to produce output that is ready to use straight away. You will learn to add consistency through the use of paragraph and character styles. You will grasp how quick and easy it is to create documents for the web and for print, including how to produce professional PDF files. In addition, you will learn to manage objects and layers, format text, use styles, work with tables, export documents, and prepare for printing. What Will I Learn? Build a basic InDesign document Customize the workspace Modify the layout Manage pages Modify text Modify graphics Work with color Use effects Add and transform shapes Manage objects and layers Format text Use styles Work with tables Export a document to other formats Requirements Basic computer skills Who is the target audience? Any student wishing to get a solid understand of the basics of Adobe InDesign CC. Introduction Introduction 00:01:00 Building a Basic InDesign Document Overview of InDesign 00:03:00 Touring the InDesign Interface 00:10:00 Customizing Preferences 00:09:00 Building a document 00:09:00 Advanced Document Settings 00:09:00 Adding Graphics 00:06:00 Adding Text 00:03:00 Customizing the Workspace Using Panels and Workspace Presets 00:10:00 Document Views 00:08:00 Understanding the Control Panel 00:04:00 Managing Pages Adding, Moving, and Deleting Pages 00:06:00 Using Master Pages 00:10:00 Modifying Text Selecting Text 00:03:00 Understanding Text Frame Options 00:09:00 Importing Text 00:06:00 Threading Text 00:05:00 Using Special Characters 00:10:00 Using Spell Check 00:07:00 Using the Story Editor 00:04:00 Modifying Graphics Defining Graphic Types 00:07:00 Placing Multiple Graphics 00:04:00 Selecting Graphics 00:05:00 Fitting Options 00:07:00 Updating Graphics 00:07:00 Placing Photoshop and Illustrator Files 00:05:00 Working with Color Basics of Color 00:06:00 Working with Swatches 00:08:00 Creating Swatches 00:08:00 Making Spot Color Swatches 00:03:00 Working with the Color Panel 00:05:00 Creating and Using Gradients 00:08:00 Using Effects Using the Effects Panel 00:08:00 Using the Blend Modes 00:04:00 Adding and Removing Effects 00:03:00 Adding and Transforming Shapes Adding Vector Shapes 00:08:00 Drawing Vector Lines 00:08:00 Selecting and Moving Frames 00:07:00 Scaling Arrowheads 00:05:00 Managing Objects and Layers Managing Layers 00:10:00 Aligning and Grouping Objects 00:06:00 Wrapping Text around an Object 00:07:00 Formatting Text Character Formatting 00:11:00 Advanced Character Formatting 00:10:00 Paragraph Formatting 00:10:00 Using Styles Basics of Styles 00:01:00 Managing Paragraph Styles 00:10:00 Managing Character Styles 00:05:00 Using Object Styles 00:08:00 Working with Tables Creating Tables 00:10:00 Formatting Tables and Cells 00:08:00 Using Table and Cell Styles 00:08:00 Exporting the Document to Other Formats Preflighting your document 00:09:00 Packaging your Document 00:10:00 Printing your Document 00:09:00 Converting to PDF 00:06:00 Conclusion Course Recap 00:01:00

Are you interested in a career in ethical hacking? If so, then the CompTIA PenTest+ Ethical Hacking Course is for you! This course will teach you everything you need to know to become a professional penetration tester.

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Get involved in a learning adventure, mastering R from foundational basics to advanced techniques. This course is a gateway to the realm of data science. Explore statistical machine learning models and intricacies of deep learning and create interactive Shiny apps. Unleash the power of R and elevate your proficiency in data-driven decision-making.

Duration 5 Days 30 CPD hours This course is intended for The Certified Ethical Hacking v12 course will significantly benefit security officers, auditors, security professionals, site administrators, and anyone who is concerned about the integrity of the network infrastructure. Overview Information security controls, laws, and standards. Various types of footprinting, footprinting tools, and countermeasures. Network scanning techniques and scanning countermeasures Enumeration techniques and enumeration countermeasures Vulnerability analysis to identify security loopholes in the target organization?s network, communication infrastructure, and end systems. System hacking methodology, steganography, steganalysis attacks, and covering tracks to discover system and network vulnerabilities. Different types of malware (Trojan, Virus, worms, etc.), system auditing for malware attacks, malware analysis, and countermeasures. Packet sniffing techniques to discover network vulnerabilities and countermeasures to defend against sniffing. Social engineering techniques and how to identify theft attacks to audit human-level vulnerabilities and social engineering countermeasures. DoS/DDoS attack techniques and tools to audit a target and DoS/DDoS countermeasures. Session hijacking techniques to discover network-level session management, authentication/authorization, and cryptographic weaknesses and countermeasures. Webserver attacks and a comprehensive attack methodology to audit vulnerabilities in webserver infrastructure, and countermeasures. Web application attacks, comprehensive web application hacking methodology to audit vulnerabilities in web applications, and countermeasures. SQL injection attack techniques, injection detection tools to detect SQL injection attempts, and countermeasures. Wireless encryption, wireless hacking methodology, wireless hacking tools, and Wi-Fi security tools. Mobile platform attack vector, android vulnerability exploitations, and mobile security guidelines and tools. Firewall, IDS and honeypot evasion techniques, evasion tools and techniques to audit a network perimeter for weaknesses, and countermeasures. Cloud computing concepts (Container technology, serverless computing), the working of various threats and attacks, and security techniques and tools. Penetration testing, security audit, vulnerability assessment, and penetration testing roadmap. Threats to IoT and OT platforms and defending IoT and OT devices. Cryptography ciphers, Public Key Infrastructure (PKI), cryptography attacks, and cryptanalysis tools. CEH provides an in-depth understanding of ethical hacking phases, various attack vectors, and preventative countermeasures. It will teach you how hackers think and act maliciously so you will be better positioned to setup your security infrastructure and defend against future attacks. An understanding of system weaknesses and vulnerabilities helps organizations strengthen their system security controls to minimize the risk of an incident. CEH was built to incorporate a hands-on environment and systematic process across each ethical hacking domain and methodology, giving you the opportunity to work towards proving the required knowledge and skills needed to achieve the CEH credential. You will be exposed to an entirely different posture toward the responsibilities and measures required to be secure. Now in its 12th version, CEH continues to evolve with the latest operating systems, tools, tactics, exploits, and technologies. 1 - Introduction to Ethical Hacking Information Security Overview Cyber Kill Chain Concepts Hacking Concepts Ethical Hacking Concepts Information Security Controls Information Security Laws and Standards 2 - 2 - Foot-printing and Reconnaissance Footprinting Concepts Footprinting through Search Engines Footprinting through Web Services Footprinting through Social Networking Sites Website Footprinting Email Footprinting Who is Footprinting DNS Footprinting Network Footprinting Footprinting through Social Engineering Footprinting Tools Footprinting Countermeasures 3 - Scanning Networks Network Scanning Concepts Scanning Tools Host Discovery Port and Service Discovery OS Discovery (Banner Grabbing/OS Fingerprinting) Scanning Beyond IDS and Firewall Draw Network Diagrams 4 - Enumeration Enumeration Concepts NetBIOS Enumeration SNMP Enumeration LDAP Enumeration NTP and NFS Enumeration SMTP and DNS Enumeration Other Enumeration Techniques Enumeration Countermeasures 5 - Vulnerability Analysis Vulnerability Assessment Concepts Vulnerability Classification and Assessment Types Vulnerability Assessment Solutions and Tools Vulnerability Assessment Reports 6 - System Hacking System Hacking Concepts Gaining Access Escalating Privileges Maintaining Access Clearing Logs 7 - Malware Threats Malware Concepts APT Concepts Trojan Concepts Virus and Worm Concepts Fileless Malware Concepts Malware Analysis Countermeasures Anti-Malware Software 8 - Sniffing Sniffing Concepts Sniffing Technique: MAC Attacks Sniffing Technique: DHCP Attacks Sniffing Technique: ARP Poisoning Sniffing Technique: Spoofing Attacks Sniffing Technique: DNS Poisoning Sniffing Tools Countermeasures Sniffing Detection Techniques 9 - Social Engineering Social Engineering Concepts Social Engineering Techniques Insider Threats Impersonation on Social Networking Sites Identity Theft Countermeasures 10 - Denial-of-Service DoS/DDoS Concepts DoS/DDoS Attack Techniques BotnetsDDoS Case Study DoS/DDoS Attack Tools Countermeasures DoS/DDoS Protection Tools 11 - Session Hijacking Session Hijacking Concepts Application Level Session Hijacking Network Level Session Hijacking Session Hijacking Tools Countermeasures 12 - Evading IDS, Firewalls, and Honeypots IDS, IPS, Firewall, and Honeypot Concepts IDS, IPS, Firewall, and Honeypot Solutions Evading IDS Evading Firewalls IDS/Firewall Evading Tools Detecting Honeypots IDS/Firewall Evasion Countermeasures 13 - Hacking Web Servers Web Server Concepts Web Server Attacks Web Server Attack Methodology Web Server Attack Tools Countermeasures Patch Management Web Server Security Tools 14 - Hacking Web Applications Web Application Concepts Web Application Threats Web Application Hacking Methodology Web API, Webhooks, and Web Shell Web Application Security 15 - SQL Injection SQL Injection Concepts Types of SQL Injection SQL Injection Methodology SQL Injection Tools Evasion Techniques Countermeasures 16 - Hacking Wireless Networks Wireless Concepts Wireless Encryption Wireless Threats Wireless Hacking Methodology Wireless Hacking Tools Bluetooth Hacking Countermeasures Wireless Security Tools 17 - Hacking Mobile Platforms Mobile Platform Attack Vectors Hacking Android OS Hacking iOS Mobile Device Management Mobile Security Guidelines and Tools 18 - IoT and OT Hacking IoT Hacking IoT Concepts IoT Attacks IoT Hacking Methodology IoT Hacking Tools Countermeasures OT Hacking OT Concepts OT Attacks OT Hacking Methodology OT Hacking Tools Countermeasures 19 - Cloud Computing Cloud Computing Concepts Container Technology Serverless Computing Cloud Computing Threats Cloud Hacking Cloud Security 20 - Cryptography Cryptography Concepts Encryption Algorithms Cryptography Tools Public Key Infrastructure (PKI) Email Encryption Disk Encryption Cryptanalysis Countermeasures Additional course details: Nexus Humans EC-Council Certified Ethical Hacker (CEH) v.12 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 Ethical Hacker (CEH) v.12 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.