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Upgrade your digital marketing skills with Edoxi’s Digital marketing courses in Dubai.Learn a wide range of skills such as email marketing, social media engagement, web-based advertising, text and multimedia messaging, content marketing, Search Engine Optimisation (SEO), and Search Engine Marketing (SEM).With Edoxi’s comprehensive digital marketing courses you could conquer the Digital world by taking your skills to the next level. Enroll now! Call us: +971 4380 1666 Mail us, at  info@edoxi.com Learn more:https://www.edoxi.com/dubai/digital-marketing-course Address: Office 504, Bank Street Building, Next to Burjuman Metro Station Exit 3, Khalid Bin Al Waleed Rd, Dubai, United Arab Emirates

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As technology continues to develop and increasingly interact with our daily lives, so must our sales techniques to ensure we're leveraging advances in how people do business to our advantage. It is essential for all salespeople to understand how to navigate the various tools at our disposal and grow their skills and confidence to put them into action in order to build a solid business pipeline. We have developed this programme to be practical, fun and interactive, whilst ensuring that participants will learn how to utilise new technology to their advantage, self-generate new business leads and opportunities, gain additional business and referrals from existing contacts, and save time and effort using proven business development skills. This course will help participants: Understand the 'organized persistence' model of sales prospecting Develop skills in using video, online and social media to generate interest Understand how to write effective sales and outreach emails and using online tools Develop techniques for effectively managing telephone appointments Learn ways to use LinkedIn for connecting with customers and prospects Develop networking skills and learn how to source and develop referrals and professional introductions 1 Key principles of smart sales prospecting Set your sales prospecting goals and objectives Elevator pitch, core messages and your value proposition Targeting and segmenting your market 'Organised persistence' using your CRM effectively 2 Setting appointments by telephone - planning and preparation Why calling still works and the best times to call Creating a call prompt sheet: Opening a call and taking control Giving a reason to meet Key questions to ask Overcoming the cold calling blues 3 Setting appointments by telephone - advanced skills Giving a reason to meet and 'selling the appointment' Key questions to ask that will create interest and motivation to meet Voice tone, power words, phrasing, pausing, responding Getting past gatekeepers and getting through 4 Using LinkedIn for research and follow-up Why LinkedIn matters and how to use it Finding new contacts, connecting and Inmailing Short-cuts and advanced skills 5 Email strategies that work Using AIDA and other templates for sales emails Using personalized video emails to create interest Vertical targeting emails, with examples Building awareness with an email chain

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Duration 2 Days 12 CPD hours This course is intended for Professional Scrum Master Foundation is appropriate for Scrum Masters and people who are interested in Scrum projects. It will be useful for: Product Owners Scrum Masters Developers Team Leaders Overview The emphasis of the training is the practical application of Scrum. The course gives various knowledge on the logic of Scrum and the way it functions. You will learn about the roles of all participants in a Scrum project. You will also learn about different challegnes you may encounter and how to resolve them. The Professional Scrum Master Foundations course is the perfect introduction, reboot or refresher to Scrum. This course is for teams or anyone wanting to experience the Scrum way of working. The case for Agility Learn about Agile Manifesto, values and principles and how can agile bring more value and manage risks compared with traditional delivery approaches. Scrum Framework Understand Scrum Framework and the life cycle of Scrum including the events, artifacts and roles and responsibilities. Running a Sprint Deep dive into each of the events and discuss user stories, estimations, groomings, Definition of Done and Definition of Ready and how can we deliver value incrementaly. The role of the Scrum Master How can you be a servant leader of your team and support different stakeholders engagement? ÿFacilitation, coaching and ensuring transparency. Backlog and estimations Learn the importance of Product backlog in Scrum, prioritization and estimations at different levels (ex: release; sprint) Working with people and teams We will discuss motivation, communication and clarity, giving feedback, team development and effective conflict resolution. Continuous Improvement Assist your team to improve both the means and ends of their work by supporting them in problem detection and resolution as well as foster the culture of continuous improvement.

Duration 5 Days 30 CPD hours This course is intended for Linux Professional Institute Certification (LPIC-2) 201 training is suitable for individuals with roles of: System administrator Network administrator Technician DevOps Overview Upon successful completion of this course, students will be able to: measure hardware resource and network bandwidth, identify and troubleshoot resource problems monitor resource usage to predict future resource needs utilise kernel components that are necessary to specific hardware, hardware drivers, system resources and requirements properly configure a kernel to include or disable specific features of the Linux kernel as necessary manage and/or query a 2.6.x, 3.x or 4.x kernel and its loadable modules query and modify the behaviour of system services at various targets / run levels properly manipulate a Linux system during both the boot process and during recovery mode properly configure and navigate the standard Linux filesystem configure automount filesystems using AutoFS configure and implement software RAID configure kernel options to support various drives create and remove logical volumes, volume groups, and physical volumes use system tools to back up important system data. This course prepares students to take the 201 exam of the LPI level 2 certification. To gain LPIC-2 certification, an individual should have an active LPIC-1 certification. Capacity Planning Measure and Troubleshoot Resource Usage Predict Future Resource Needs Linux Kernel Kernel components Compiling a Linux kernel Kernel runtime management and troubleshooting System Startup Customising system startup System recovery Alternate Bootloaders Filesystem and Devices Filesystem and Devices Maintaining a Linux filesystem Creating and configuring filesystem options Advanced Storage Device Administration Configuring RAID Adjusting Storage Device Access Logical Volume Manager Networking Configuration Basic networking configuration Advanced Network Configuration Troubleshooting network issue System Maintenance Make and install programs from source Backup operations Notify users on system-related issues

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Duration 2 Days 12 CPD hours This course is intended for Cloud Solutions Architects, Site Reliability Engineers, Systems Operations professionals, DevOps Engineers, IT managers. Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform. Overview Apply a tool set of questions, techniques and design considerations Define application requirements and express them objectively as KPIs, SLO's and SLI's Decompose application requirements to find the right microservice boundaries Leverage Google Cloud developer tools to set up modern, automated deployment pipelines Choose the appropriate Google Cloud Storage services based on application requirements Architect cloud and hybrid networks Implement reliable, scalable, resilient applications balancing key performance metrics with cost Choose the right Google Cloud deployment services for your applications Secure cloud applications, data and infrastructure Monitor service level objectives and costs using Stackdriver tools This course features a combination of lectures, design activities, and hands-on labs to show you how to use proven design patterns on Google Cloud to build highly reliable and efficient solutions and operate deployments that are highly available and cost-effective. This course was created for those who have already completed the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine course. Defining the Service Describe users in terms of roles and personas. Write qualitative requirements with user stories. Write quantitative requirements using key performance indicators (KPIs). Evaluate KPIs using SLOs and SLIs. Determine the quality of application requirements using SMART criteria. Microservice Design and Architecture Decompose monolithic applications into microservices. Recognize appropriate microservice boundaries. Architect stateful and stateless services to optimize scalability and reliability. Implement services using 12-factor best practices. Build loosely coupled services by implementing a well-designed REST architecture. Design consistent, standard RESTful service APIs. DevOps Automation Automate service deployment using CI/CD pipelines. Leverage Cloud Source Repositories for source and version control. Automate builds with Cloud Build and build triggers. Manage container images with Google Container Registry. Create infrastructure with code using Deployment Manager and Terraform. Choosing Storage Solutions Choose the appropriate Google Cloud data storage service based on use case, durability, availability, scalability and cost. Store binary data with Cloud Storage. Store relational data using Cloud SQL and Spanner. Store NoSQL data using Firestore and Cloud Bigtable. Cache data for fast access using Memorystore. Build a data warehouse using BigQuery. Google Cloud and Hybrid Network Architecture Design VPC networks to optimize for cost, security, and performance. Configure global and regional load balancers to provide access to services. Leverage Cloud CDN to provide lower latency and decrease network egress. Evaluate network architecture using the Cloud Network Intelligence Center. Connect networks using peering and VPNs. Create hybrid networks between Google Cloud and on-premises data centers using Cloud Interconnect. Deploying Applications to Google Cloud Choose the appropriate Google Cloud deployment service for your applications. Configure scalable, resilient infrastructure using Instance Templates and Groups. Orchestrate microservice deployments using Kubernetes and GKE. Leverage App Engine for a completely automated platform as a service (PaaS). Create serverless applications using Cloud Functions. Designing Reliable Systems Design services to meet requirements for availability, durability, and scalability. Implement fault-tolerant systems by avoiding single points of failure, correlated failures, and cascading failures. Avoid overload failures with the circuit breaker and truncated exponential backoff design patterns. Design resilient data storage with lazy deletion. Analyze disaster scenarios and plan for disaster recovery using cost/risk analysis. Security Design secure systems using best practices like separation of concerns, principle of least privilege, and regular audits. Leverage Cloud Security Command Center to help identify vulnerabilities. Simplify cloud governance using organizational policies and folders. Secure people using IAM roles, Identity-Aware Proxy, and Identity Platform. Manage the access and authorization of resources by machines and processes using service accounts. Secure networks with private IPs, firewalls, and Private Google Access. Mitigate DDoS attacks by leveraging Cloud DNS and Cloud Armor. Maintenance and Monitoring Manage new service versions using rolling updates, blue/green deployments, and canary releases. Forecast, monitor, and optimize service cost using the Google Cloud pricing calculator and billing reports and by analyzing billing data. Observe whether your services are meeting their SLOs using Cloud Monitoring and Dashboards. Use Uptime Checks to determine service availability. Respond to service outages using Cloud Monitoring Alerts. Additional course details: Nexus Humans Architecting with Google Cloud: Design and Process 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 Architecting with Google Cloud: Design and Process 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.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts 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. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) 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 Machine Learning Essentials with Python (TTML5506-P) 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.

Duration 5 Days 30 CPD hours This course is intended for This course is designed for the professional tasked with implementing, designing, architecting, installing, and configuring Symantec Client Management Suite (CMS) to manage the software and hardware in their company. Overview At the completion of the course, you will be able to: Identify the types of information you need to collect to help determine what type of CMS configuration to implement. Install Client Management Suite. Discover and import computer and user resources that you want to manage. Deploy the Symantec Management Agent and plug-ins. Create Organizational Views and Groups and assign resources to them. Create and configure policies, tasks, and jobs and assign them to targets. Troubleshoot common problems with installation and managing of Client Management Suite. Creating reports and installing and configuring IT Analytics. This course teaches students theory and concepts, and provides technical know-how on implementing Client Management Suite. Course Introduction Course objectives Course overview Lab environment introduction Understanding the Symantec Management Platform Introducing the Symantec Management Platform Symantec management Platform components used by Client Management Suite Symantec Management Platform concepts How Client Management Suite works Architecture of Client Management Suite Understanding Architecture Hardware Recommendations Installing and configuring Client Management Suite Installing and using the Symantec Installation Manager Installing the Notification Server, suite and solution software The Symantec Management Console Accessing the Symantec Management Console Getting to know the Symantec Management Console Configuring the Notification Server after installation Getting to know the ITMS Management views Discovering resources Introducing resource discovery methods Importing resources from Microsoft Active Directory Discovering computers using domain resource discovery Discovering network resources using Network Discovery Creating and Managing Organizational Views and Groups Learning about organizational views and groups Creating custom organizational views and groups Managing organizational views and groups Installing and Configuring the Agents and Plug-ins Managing computers with the Symantec Management Agent Installing the Symantec Management Agent Verifying the Symantec Management Agent installation Configuring the Symantec Management Agent settings Introducing solution plug-ins for the Symantec Management Agent Upgrading Client Management Suite Introducing agent, Notification Server and site server communications Introducing Notification Server event queues Resource Filters Introducing resource filters Managing and working with existing filters Creating and modifying filters Filters and Targets Introducing targets Working with targets in the computer management view Policies Getting to know policies Understanding user-based policies Understanding how the Symantec Management Agent receives policies Configuring automation policies Managing shared schedules Creating and Managing Tasks and Jobs Overview of task management Creating and scheduling tasks and jobs Task management communication and processing Security Learning about security Managing user accounts, security roles, and privileges Managing permissions Reporting Introducing reports Using and creating classic reports Configuring and using IT Analytics Site Management Introducing site management Managing sites, subnets and site servers Reviewing site server plug-ins to the Symantec Management Agent Configuring site services Cloud-enabled Management (CeM) Introducing Cloud-enabled Management (CeM) Understanding the cloud-enabled agent Preparing the Notification Server and agents for CeM Configuring site management for CeM Installing and Configuring the SMP Internet Gateway and configuring a CeM Settings policy Configuring the SMP Internet Gateway with the SMP IG Manager Configuring the CeM Settings policy Creating a cloud-enabled agent installation package Installing a cloud-enabled agent from a package Replication Understanding replication Setting up and configuring replication Running replication Hierarchy Understanding hierarchy Setting up a Notification Server hierarchy Configuring hierarchy replication Changing the hierarchy topology Migration Migrating Symantec Management Platform Agent registration (trust)Post installation checklist Readiness checklist for CMS Migration Post migration checklist for a CMS Migration Migrating from 6.x to 7.6 Migrating from 7.x to 7.6 Troubleshooting Learning about Symantec Management Platform troubleshooting tools Using NSConfigurator Using Remote Altiris Agent Diagnostics Introducing Notification Server event queues Troubleshooting Cloud-enabled Management (CeM) Backing up the server and database Symantec Management Platform components needed for recovery Backing up the IIS default web site virtual directories Backing up the Configuration Management Database Customizing the Console Customizing the Symantec Management Console Personalizing the Symantec Management Console SQL Basics Learning SQL basics Obtaining Technical Support from Symantec Using self-help resources Obtaining customer support Additional course details: Nexus Humans Symantec Management Suite 7.6 - Implementation 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 Symantec Management Suite 7.6 - Implementation 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.