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Learning Objectives Introduction , Understanding Chat and Meet , Working with Google Chat , Working with Chat and Meet Mobile , Conclusion , Working with Google Meet   Pre-Requisites Students should have familiarity with the concept of instant messaging and video calls. Having experience with Hangouts is helpful but not required.   Description This course is designed to teach users about Google Chat and Meet. These two separate applications replace and expand on the functionalities that exist(ed) in Hangouts. Students will be able to use direct and group messaging. They will learn to initiate, join and schedule meetings. Students will also learn how to share their Desktop and applications within a meeting. Course Introduction Introduction 00:03:00 Section 01 Lesson 01-Overview of Google Chat and Meet 00:03:00 Lesson 02-Accessing Google Chat and Meet 00:02:00 Section 02 Lesson 01-Sending a Message-v2 00:02:00 Lesson 02-Message Options-v2 00:06:00 Lesson 03-Creating a Space-v2 00:04:00 Lesson 04-Managing Space-v2 00:03:00 Lesson 05-Searching Messages-v2 00:03:00 Lesson 06-Managing Messages-v2 00:04:00 Lesson 07-Understanding Bots-v2 00:03:00 Lesson 08-Working with the Google Drive Bot-v2 00:02:00 Lesson 09-Using Settings-v2 00:02:00 Section 03 Lesson 01-Creating a Meeting on the Spot-v2 00:03:00 Lesson 02-Scheduling a Meeting 00:05:00 Lesson 03-Joining a Meeting-v2 00:04:00 Lesson 04-Editing and Canceling a Meeting 00:05:00 Lesson 05-Using Meeting Controls-v2 00:09:00 Lesson 06-Creating and Using Breakout Rooms-v2 00:07:00 Lesson 07-Creating and Using a Poll-v2 00:04:00 Lesson 08-Using the Q and A Feature-v2 00:03:00 Lesson 09-Using the whiteboard Feature with Jamboard-v2 00:07:00 Lesson 10-Presenting in a Meeting-v2 00:03:00 Lesson 11-Adjusting Settings for a Meeting-v2 00:05:00 Section 04 Lesson 01-Downloading Chat and Meet Mobile 00:03:00 Lesson 02-Working with Google Chat Mobile 00:04:00 Lesson 03-Working with Google Meet Mobile-v2 00:02:00 Course Recap Recap 00:02:00

Azure Active Directory (Azure AD) is Microsoft's multi-tenant, cloud-based directory, and identity management service that combines core directory services, application access management, and identity protection into a single solution.  Through this Azure - Azure Active Directory you will receive an understanding of directory service options, how to use a custom domain, how to manage users and groups, as well as how to use multi-factor authentication. You will also learn how to work with application access, how to add and access applications, and how to use a hybrid Azure Active Directory. You will also explore how to extend and deploy AD to the cloud, how to prepare for synchronization, install Azure AD Connect, and manage directory synchronization. In addition, you will understand ADFS, learn how to install AFDS, and how to convert a domain to Federated. Finally, you will understand about Azure AD Federation and learn how to convert a domain to Federated. What Will I Learn? Get an Understanding of Active Directory Understand Hybrid Azure AD Understand Azure AD Federation Requirements Recommenced Pre-Requisite = Azure Introduction Introduction Introduction FREE 00:04:00 Azure Active Directory Directory Service Options 00:03:00 Custom Domains 00:05:00 Managing Users and Groups in the Portal 00:04:00 Managing Users and Groups in the Powershell 00:07:00 Multi-Factor Authentication 00:08:00 Multiple Directories 00:04:00 Application Access 00:02:00 Adding and Accessing Applications 00:06:00 Azure AD Versions 00:03:00 Hybrid Azure AD Hybrid Active Directory 00:03:00 Deploying DC to Azure 00:04:00 Directory Synchronization Pre Reqs 00:05:00 Installing and Configuring Azure AD Connect 00:13:00 Modifying Directory Sync 00:05:00 Active Directory Federation Services Understanding Identity Federation 00:02:00 ADFS Authentication with Online Services 00:03:00 ADFS Pre-reqs 00:03:00 Installing ADFS 00:04:00 Installing ADFS Proxy 00:06:00 Converting Domains to Federated 00:05:00 Pass-through Authentication Pass-through Authentication 00:02:00 Seamless Single Sign-on 00:01:00 Configuring Pass-Through 00:04:00 Conclusion Course Recap 00:06:00 Course Certification

Duration 5 Days 30 CPD hours This course is intended for Software Engineers and DevOps professionals working in an Enterprise developing mission critical line of business applications. Overview By the end of this course, students will be able to: Assess the advantages of a containerized software development & deployment Use Docker engine features necessary for running containerized applications Utilize Swarm and Kubernetes orchestrators to deploy, maintain, and scale a distributed application Describe the essential patterns used in a highly distributed EE application Understand how to configure EE applications for different environments without code changes Produce and containerize scalable, accessible, and fault-tolerant EE applications Apply different debugging and testing techniques to containerized EE applications The Docker Fundamentals + Enterprise Operations Bundle includes the full Docker for Enterprise Operations course as well as the prerequisite Docker Fundamentals course run back to back in a single intensive training experience. The Docker Fundamentals training course features the foundational concepts and practices of containerization on a single Docker node. The course offers learners the opportunity to assimilate basic container orchestration and how to scale Docker across multiple nodes in a simple swarm cluster. This course provides essential foundational knowledge for subsequent Docker courses. As the follow-on to the Docker Fundamentals course, Docker for Enterprise Operations is a role-based course is designed for Docker Operations teams to accelerate their Docker journey in the enterprise. The course covers in-depth core advanced features of Docker EE and best practices to apply these features at scale with enterprise workloads. Platform Availability: Linux, Windows (Fundamentals Only). Introducing Docker Containerization Fundamentals Creating Images Docker Volumes Docker Networking Basics Introduction to Docker Compose Introduction to Swarm Mode Introduction to Kubernetes Secrets Fundamentals Signature Assignment Distributed Application Architecture Sample Application Edit and Continue Debugging Docker Compose Testing Service Discovery Defensive Programming Logging and Error Handling Health Checks Secrets Configuration Management Development Pipeline Overview Universal Control Plane Docker Trusted Registry Repository Automation Build Server

Duration 5 Days 30 CPD hours This course is intended for Anyone who plans to work with Kubernetes at any level or tier of involvement Any company or individual who wants to advance their knowledge of the cloud environment Application Developers Operations Developers IT Directors/Managers Overview All topics required by the CKAD exam, including: Deploy applications to a Kubernetes cluster Pods, ReplicaSets, Deployments, DaemonSets Self-healing and observable applications Multi-container Pod Design Application configuration via Configmaps, Secrets Administrate cluster use for your team A systematic understanding of Kubernetes architecture Troubleshooting and debugging tools Kubernetes networking and services Kubernetes is a Cloud Orchestration Platform providing reliability, replication, and stability while maximizing resource utilization for applications and services. By the conclusion of this hands-on training, you will go back to work with all necessary commands and practical skills to empower your team to succeed, as well as gain knowledge of important concepts like Kubernetes architecture and container orchestration. We prioritize covering all objectives and concepts necessary for passing the Certified Kubernetes Application Developer (CKAD) exam. You will command and configure a high availability Kubernetes environment (and later, build your own!) capable of demonstrating all ?K8s'' features discussed and demonstrated in this course. Your week of intensive, hands-on training will conclude with a mock CKAD exam that matches the real thing. Kubernetes Architecture Components Understand API deprecations Containers Define, build and modify container images Pods Master Services Node Services K8s Services YAML Essentials Creating a K8s Cluster kubectl Commands Kubernetes Resources Kubernetes Namespace Kubernetes Contexts Pods What is a Pod? Create, List, Delete Pods How to Access Running Pods Kubernetes Resources Managing Cloud Resource Consumption Multi-Container Pod Design Security Contexts Init Containers Understand multi-container Pod design patterns (e.g. sidecar, init and others) Pod Wellness Tracking Networking Packet Forwarding ClusterIP and NodePort Services Provide and troubleshoot access to applications via services Ingress Controllers Use Ingress rules to expose applications NetworkPolicy resource Demonstrate basic understanding of NetworkPolicies Network Plugins Defining the Service Mesh Service mesh configuration examples ReplicaSets Services ReplicaSet Function Deploying ReplicaSets Deployments Deployment Object Updating/Rolling Back Deployments Understand Deployments and how to perform rolling updates Deployment Strategies Use Kubernetes primitives to implement common deployment strategies (e.g. blue/green or canary) Scaling ReplicaSets Autoscaling Labels and Annotations Labels Annotations Node Taints and Tolerations Jobs The K8s Job and CronJob Understand Jobs and CronJobs Immediate vs. scheduled internal use Application Configuration Understanding and defining resource requirements, limits and quotas Config Maps Create & consume Secrets Patching Custom Resource Definition Discover and use resources that extend Kubernetes (CRD) Managing ConfigMaps and Secrets as Volumes Storage Static and dynamic persistent volumes via StorageClass K8s volume configuration Utilize persistent and ephemeral volumes Adding persistent storage to containers via persistent volume claims Introduction to Helm Helm Introduction Charts Use the Helm package manager to deploy existing packages Application Security Understand authentication, authorization and admission control Understand ServiceAccounts Understand SecurityContexts Application Observability and Maintenance Use provided tools to monitor Kubernetes applications How to Troubleshoot Kubernetes Basic and Advanced Logging Techniques Utilize container logs Accessing containers with Port-Forward Debugging in Kubernetes Hands on Labs: Define, build and modify container images Deploy Kubernetes using Ansible Isolating Resources with Kubernetes Namespaces Cluster Access with Kubernetes Context Listing Resources with kubectl get Examining Resources with kubectl describe Create and Configure Basic Pods Debugging via kubectl port-forward Imperative vs. Declarative Resource Creation Performing Commands inside a Pod Understanding Labels and Selectors Insert an Annotation Create and Configure a ReplicaSet Writing a Deployment Manifest Perform rolling updates and rollbacks with Deployments Horizontal Scaling with kubectl scale Implement probes and health checks Understanding and defining resource requirements, limits and quotas Understand Jobs and CronJobs Best Practices for Container Customization Persistent Configuration with ConfigMaps Create and Consume Secrets Understand the Init container multi-container Pod design pattern Using PersistentVolumeClaims for Storage Dynamically Provision PersistentVolumes with NFS Deploy a NetworkPolicy Provide and troubleshoot access to applications via services Use Ingress rules to expose applications Understand the Sidecar multi-container Pod design pattern Setting up a single tier service mesh Tainted Nodes and Tolerations Use the Helm package manager to deploy existing packages A Completed Project Install Jenkins Using Helm and Run a Demo Job Custom Resource Definitions (CRDs) Patching Understanding Security Contexts for Cluster Access Control Utilize container logs Advanced Logging Techniques Troubleshooting Calicoctl Deploy a Kubernetes Cluster using Kubeadm Monitoring Applications in Kubernetes Resource-Based Autoscaling Create ServiceAccounts for use with the Kubernetes Dashboard Saving Your Progress With GitHub CKAD Practice Drill Alta Kubernetes Course Specific Updates Sourcing Secrets from HashiCorp Vault Example CKAD Test Questions

Duration 1 Days 6 CPD hours This course is intended for To gain the most from attending this course you should possess the following incoming skills: Basic knowledge of programming concepts and syntax in Python. Familiarity with common data formats such as CSV, JSON, and XML. Experience using command-line interfaces and basic text editing tools. Understanding of basic machine learning concepts and algorithms. Overview Working in an interactive learning environment, led by our engaging expert, you will: Gain a solid understanding of prompt engineering concepts and their applications in software development and AI-driven solutions. Master the techniques for preprocessing and cleaning text data to ensure high-quality inputs for AI models like GPT-4. Develop expertise in GPT-4 tokenization, input formatting, and controlling model behavior for various tasks and requirements. Acquire the ability to design, optimize, and test prompts effectively, catering to diverse business applications and use cases. Learn advanced prompt engineering techniques, such as conditional text generation and multi-turn conversations, to create more sophisticated AI solutions. Practice creating prompts to generate, run, and test code in a chosen programming language using GPT-4 and OpenAI Codex. Understand the ethical implications and best practices in responsible AI deployment, ensuring fair and unbiased AI applications in software development. Prompt Engineering offers coders and software developers a competitive edge by empowering them to develop more effective and efficient AI-driven solutions in their projects. By harnessing the capabilities of cutting-edge AI models like GPT-4, coders can automate repetitive tasks, enhance natural language understanding, and even generate code suggestions, boosting productivity and creativity. In addition, mastering prompt engineering can contribute to improved job security, as professionals with these in-demand skills are highly sought after in the rapidly evolving tech landscape. Quick Start to Prompt Engineering for Coders and Software Developers is a one day course designed to get you quickly up and running with the prompting skills required to out AI to work for you in your development efforts. Guided by our AI expert, you?ll explore key topics such as text preprocessing, data cleansing, GPT-4 tokenization, input formatting, prompt design, and optimization, as well as ethical considerations in prompt engineering. In the hands-on labs you?ll explore tasks such as formatting inputs for GPT-4, designing and optimizing prompts for business applications, and implementing multi-turn conversations with AI. You?ll work with innovative tools like the OpenAI API, OpenAI Codex, and OpenAI Playground, enhancing your learning experience while preparing you for integrating prompt engineering into your professional toolkit. By the end of this immersive course, you?ll have the skills necessary to effectively use prompt engineering in your software development projects. You'll be able to design, optimize, and test prompts for various business tasks, integrate GPT-4 with other software platforms, and address ethical concerns in AI deployment. Introduction to Prompt Engineering Overview of prompt engineering and its importance in AI applications Major applications of prompt engineering in business Common challenges faced in prompt engineering Overview of GPT-4 and its role in prompt engineering Key terminology and concepts in prompt engineering Getting Things Ready: Text Preprocessing and Data Cleansing Importance of data preprocessing in prompt engineering Techniques for text cleaning and normalization Tokenization and n-grams Stop word removal and stemming Regular expressions and pattern matching GPT-4 Tokenization and Input Formatting GPT-4 tokenization and its role in prompt engineering Understanding and formatting GPT-4 inputs Context windows and token limits Controlling response length and quality Techniques for handling out-of-vocabulary tokens Prompt Design and Optimization Master the skills to design, optimize, and test prompts for various business tasks. Designing effective prompts for different tasks Techniques for prompt optimization GPT-4 system and user parameters for controlling behavior Importance of prompt testing and iteration Best practices for prompt engineering in business applications Advanced Techniques and Tools in Prompt Engineering Learn advanced techniques and tools for prompt engineering and their integration in business applications. Conditional text generation with GPT-4 Techniques for handling multi-turn conversations Overview of tools for prompt engineering: OpenAI API, OpenAI Codex, and OpenAI Playground Integration of GPT-4 with other software platforms and tools Monitoring and maintaining prompt performance Code Generation and Testing with Prompt Engineering Develop the skills to generate, integrate, and test AI-generated code effectively, enhancing productivity and creativity in software development projects. Introduction to code generation with AI models like GPT-4 Designing prompts for code generation across programming languages Techniques for specifying requirements and constraints in prompts Generating and interpreting code snippets using AI-driven solutions Integrating generated code into existing projects and codebases Best practices for testing and validating AI-generated code Ethics and Responsible AI Understand the ethical implications of prompt engineering and the importance of responsible AI deployment in business. Ethical considerations in prompt engineering Bias in AI systems and its impact on prompt engineering Techniques to minimize bias and ensure fairness Best practices for responsible AI deployment in business applications Monitoring and addressing ethical concerns in prompt engineering

The aim of a "Cost Volume Profit (CVP) Analysis" course is to provide learners with a comprehensive understanding of the principles and applications of CVP analysis in managerial accounting.After the successful completion of the course, you will be able to learn about the following, Understand CVP Analysis. Understanf Breakeven Point. Calculate Margin of Safety. Explore Operating Leverage. Understand Sales Mix. Analyze Sales Mix and Break-even Analysis. In a Cost Volume Profit (CVP) Analysis course, one can expect to learn about the principles and applications of CVP analysis in managerial accounting. The course will cover topics such as fixed and variable costs, contribution margin, breakeven point, and margin of safety. Student will learn how to use these concepts to make informed decisions about pricing strategies, product mix, and production volume. Student will also learn how to create and interpret CVP analysis charts and graphs, which can help you visualize the relationship between costs, sales volume, and profits. Additionally, you'll explore the impact of various factors on CVP analysis, such as changes in sales volume, costs, and product mix. The Understanding Cost Volume Profit Analysis course teaches key concepts and tools related to CVP analysis. Participants will learn about the uses and benefits of CVP analysis, the calculation of the breakeven point, the margin of safety, operating leverage, and sales mix. The course will also cover the impact of changes in the sales mix on breakeven analysis and profits. It is suitable for individuals in accounting, finance, operations, or business management roles, or anyone looking to improve their financial analysis skills. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Understanding Cost Volume Profit Analysis Self-paced pre-recorded learning content on this topic. Understanding Cost Volume Profit Analysis Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Supervisor Financial Analyst Business Manager Operations Manager Management Accountant Financial Controller Cost Accountant Strategic Planner Chief Financial Officer (CFO) Budget Analyst Sales Manager. Investment Advisor Financial Planner Wealth Management Specialist Mutual Fund Manager Investment Analyst Portfolio Manager Financial Consultant Retirement Planning Specialist Investment Operations Specialist Securities Trader Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Duration 4 Days 24 CPD hours This course is intended for This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class. Overview Working in a hands-on learning environment led by our expert instructor you'll: Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills. Discover the power of functional programming and learn techniques that will make your code more efficient, maintainable, and enjoyable to write. Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library. Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance. Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process. Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects, adding a touch of innovation and intelligence to your Scala solutions. If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals. Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects. Introduction to Scala Scala features and benefits Comparing Scala with Java and other OO languages Installing Scala and setting up the development environment Object-Oriented Programming in Scala Classes and objects Traits, mixins, and inheritance Companion objects and factories Encapsulation and polymorphism Functional Programming Basics Pure functions and referential transparency Higher-order functions and currying Immutability and persistent data structures Pattern matching and recursion Having Fun with Functional Data Structures Lists, sets, and maps in Scala Folding and reducing operations Stream processing and lazy evaluation For-comprehensions Building Web Applications in Functional Style Introduction to Play Framework Functional web routing and request handling JSON handling with Play-JSON Middleware and functional composition Connecting to a Database Introduction to Slick library Database configuration and setup Querying and updating with Slick Transactions and error handling Building Scalable and Extensible Components Modular architecture and design patterns Dependency injection with MacWire Type classes and type-level programming Implicit parameters and conversions Concurrency Programming & Akka Introduction to Akka framework and Actor model Actor systems and message passing Futures and Promises Supervision and fault tolerance Building Confidence with Testing Introduction to ScalaTest and ScalaCheck Unit testing and property-based testing Test-driven development in Scala Mocking and integration testing Interoperability between Scala and Java Calling Java code from Scala Using Java libraries in Scala projects Converting Java collections to Scala collections Writing Scala code that can be called from Java Using Generative AI and GPT Technologies in Scala Programming Overview of GPT and generative AI Integrating GPT with Scala applications Use cases and practical examples Additional course details: Nexus Humans Fast Track to Scala Programming Essentials for OO / Java Developers (TTSCL2104) 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 Fast Track to Scala Programming Essentials for OO / Java Developers (TTSCL2104) 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.

QLS Endorsed Diploma! Free 3 QLS Certificates + Free 10 CPD Course & Assessments> 250 CPD Points > Lifetime Access

Ignite your creativity and embark on a journey of visual exploration with our exceptional course bundle: "Adobe Illustrator, Adobe After Effects, and Photoshop CC". This comprehensive bundle encompasses eight exciting and theoretically grounded courses that will supercharge your understanding of the Adobe Creative Suite. This includes three QLS-endorsed masterclasses: Adobe Illustrator, Adobe After Effects, and Advanced Photoshop CC, all of which come with hardcopy certificates upon completion. To complement these key skills, we've included five CPD QS accredited courses, focusing on an array of applications and techniques. Delve into the world of vector illustration, understand the nuances of digital sketching, uncover the power of Adobe Lightroom CC, and master the art of photo editing. Key Features of the Adobe Illustrator, Adobe After Effects and Photoshop CC Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Adobe Illustrator, Adobe After Effects and Photoshop CC bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Adobe Illustrator Masterclass QLS Course 02: Adobe After Effects QLS Course 03: Advanced Photoshop CC 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: Learn Illustrator CC: Create a Vector Knight Course 02: Digital Art - Sketching In Photoshop for Beginners Course 03: Adobe Lightroom CC Course 04: How To Edit Your First Photo in Adobe Photoshop CC Course 05: Shading in Adobe Photoshop 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 Adobe Illustrator, Adobe After Effects and Photoshop CC courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. power of Adobe tools and propel your design capabilities to new horizons with our remarkable course bundle! Learning Outcomes: Master the features and functions of Adobe Illustrator. Understand the theoretical application of Adobe After Effects. Develop a comprehensive knowledge of advanced Photoshop CC techniques. Gain theoretical knowledge of vector creation in Illustrator CC. Comprehend the basics of sketching in Photoshop for beginners. Understand the functionality and application of Adobe Lightroom CC. Learn the theoretical aspects of photo editing and shading in Adobe Photoshop. Elevate your design prowess with our "Adobe Illustrator, Adobe After Effects, and Photoshop CC" course bundle. Comprising eight interlinked courses, this bundle takes a deep dive into the world of Adobe's primary design tools. Each course is designed to provide a comprehensive theoretical understanding, setting the stage for future practical application and innovation. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals aspiring to a career in graphic design or digital arts. Professionals keen to enrich their theoretical knowledge of Adobe Creative Suite. Novice artists wanting to understand the theoretical aspects of digital sketching and shading. Photography enthusiasts seeking to enhance their understanding of photo editing. Career path After completing this bundle, you can explore various roles such as: Graphic Designer (Salary Range: £22,000 - £35,000) Illustrator (Salary Range: £18,000 - £40,000) Digital Artist (Salary Range: £20,000 - £45,000) Video Editor using Adobe After Effects (Salary Range: £24,000 - £45,000) Photoshop Specialist (Salary Range: £22,000 - £38,000) Lightroom Photo Editor (Salary Range: £20,000 - £32,000) Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

Embark on a journey into the world of Java cryptography with our course, 'Java Certification Cryptography Architecture.' This course is designed to provide a deep dive into the critical aspects of Java's cryptographic capabilities, offering a blend of theoretical knowledge and practical application. Start with the basics in our introductory section, which sets the stage for a deeper exploration of Java Cryptography Architecture. As you progress, the course meticulously unfolds the complexities of message digest algorithms, MAC (Message Authentication Code), and PBKDF2 (Password-Based Key Derivation Function 2). This course is not just about coding; it's a comprehensive guide to understanding and implementing Java-based cryptographic solutions in real-world applications. Advance through the curriculum and discover practical examples of hashing, both simple and real-world, enhancing your ability to secure data effectively. Delve into efficient stream-based hashing and learn how to implement robust password hashing using PBKDF2. The course also includes a section on commercial wrapper libraries, demonstrating the integration of Java cryptography in commercial applications. By the conclusion of the course, you'll not only be proficient in Java Cryptography Architecture but also equipped with the skills to apply these cryptographic techniques in various professional scenarios, ensuring data security and integrity. Learning Outcomes Develop a foundational understanding of Java Cryptography Architecture. Learn to implement hashing algorithms and message digest techniques in Java. Gain expertise in creating and using MAC for data security. Master the application of PBKDF2 for secure password hashing. Understand the use of commercial wrapper libraries in Java cryptography. Why choose this Java Certification Cryptography Architecture course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Java Certification Cryptography Architecture course for? Software developers and programmers looking to specialize in Java cryptography. IT professionals seeking to enhance their data security skills. Computer science students interested in cryptography and data protection. System architects designing secure Java-based applications. Security enthusiasts keen on exploring Java's cryptographic capabilities. Career path Java Developer: £25,000 - £50,000 Software Engineer (Java): £30,000 - £60,000 Information Security Analyst: £35,000 - £70,000 Cryptography Engineer: £40,000 - £80,000 Application Security Developer: £38,000 - £75,000 Systems Architect (Java): £45,000 - £85,000 Prerequisites This Java Certification Cryptography Architecture does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Java Certification Cryptography Architecture was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction Introductory Lecture 00:02:00 Setup 00:03:00 Section 02: Java Cryptography Architecture: MessageDigest, MAC & PBKDF2 Simple Hashing Example 00:05:00 Real-world Hashing Example 00:07:00 Efficient Stream-Based Hashing 00:02:00 Message Authentication Code (MAC) 00:05:00 Secure Password Hashing with PBKDF2/PKCS#5 00:10:00 Section 03: Outro Commercial Wrapper Libraries: Demo 00:03:00 JCE Unlimited Strength Policy File Installation 00:03:00 Assignment Assignment - Java Certification Cryptography Architecture 00:00:00