259 Courses delivered Live Online

Why Choose Photoshop Basics to Essentials Training Course? Course Link Mastering Photoshop is crucial for securing positions in creative fields such as graphic design, digital design, and user interface (UI) design. Acquiring this skill serves as a foundation to excel in various design programs essential for creative professionals. Duration: 16 hrs. Method: 1-on-1, Personalized attention. Schedule: Tailor your own hours of your choice, available from Monday to Saturday between 9 am and 7 pm. Photoshop Course: Total 16 hrs  Module 1: Keyboard and Toolbar Shortcuts Customize toolbars and keyboard shortcuts for efficient workflow Learn essential keyboard shortcuts for faster navigation Module 2: Advanced Layer Management Filter, search, and color code layers for better organization Group and merge layers to streamline your design process Explore Blending Modes for creative effects Module 3: Blending Modes Understand Blending Modes and their usage within layers and effects Apply Blending Modes to enhance your designs Module 4: Layer Comps Discover Layer Comps and their benefits in managing complex designs Create, edit, and update Layer Comps for different design versions Export Layer Comps to PSD, PDF, and JPEG formats Module 5: Drawing Vectors Work with Vector images using shapes and the Pen Tool Use the Direct Selection Tool for precise editing Apply colors and create Clipping Masks with vectors Module 6: Advanced Type Techniques Convert text into Shapes and utilize font style changes with the Pen Tool Use text as a Clipping Mask and create text Outlines Design 3D text for impactful typography Module 7: Advanced Adjustment Layers Master advanced adjustments like Curves, Levels, and Black and White Utilize Selective Color and Gradient Maps for creative color control Module 8: Advanced Selection Techniques Use Smart Radius and Select and Mask for precise selections Learn to select complex objects like hair using Color Range and the Pen Tool Save and manage selections using the Path Panel Module 9: Colorizing Black and White Images Module 10: Displacement Maps Module 11: Advanced Filters Create Trees, Frames, Clouds, and Fire with filters Use Polarized, Wave, and Extrusion for artistic effects like "Japanese Sun" Explore Vanishing Point Filter, Camera RAW, Blur for depth of field, and Filter Gallery Combine 3D text with Vanishing Point for stunning designs Use Liquify for image manipulation Module 12: Introduction to Actions Automate tasks using Photoshop's preset Actions Create your own Actions to save time and effort Module 13: Creating an Animated GIF Learn frame by frame animation Utilize the Timeline to create engaging animated GIFs Learning Outcomes: Master advanced selection techniques, including the Path and Pen Tool, for precise editing. Gain proficiency in advanced layer management and utilize Layer Comps for efficient design organization. Enhance your designs with a deeper understanding and application of Blending Modes. Create visually appealing 3D text and text outlines to add depth and impact to your artwork. Explore advanced Filters like Displacement Maps, Blurs, and Distortion for creative effects. Automate tasks with actions and batch processing, streamlining your workflow. Craft engaging animated GIFs to add dynamic elements to your designs. Skillfully set project requirements by identifying the purpose, target audience, copyright considerations, and project management tasks for successful project execution.

Duration 3 Days 18 CPD hours This course is intended for This advanced course is for IT professionals tasked with administering a Spectrum Scale system. Overview Please see Overview This course is intended for IT professionals tasked with administering a Spectrum Scale system. It includes information on installing, configuring and monitoring a Spectrum Scale cluster. Migrating to IBM Spectrum Scale 4.2Spectrum Scale 4.2 GUIMulti-clusterClustered NFSCluster Export Services for multi-protocol supportSMB Protocol SupportNFS Support in CES; Ganesha overview/performanceActive File ManagementAFM-Based Disaster Recovery (DR) and Asynchronous DRPlanning LTFS and GPFS environment for data archivingFile Placement OptimizerIBM© GPFS-FPO and integration with GPFS Hadoop connectorIBM© Spectrum Scale Call HomeMonitoring and performance tuningFlash Cache metadata migration

Duration 1 Days 6 CPD hours This course is intended for Students taking this course are database administrators or prospective database administrators who have experience working with Access for Microsoft 365 and need to learn advanced skills. Overview In this course, you will manage an Access database and add complex database features to improve its usability, efficiency, performance, and security. You will: Share data across applications. Use action, unmatched, and duplicate queries to manage data. Create complex reports and forms. Use macros to improve user interface design. Use VBA to extend database capabilities. Perform database management tasks such as backup, compacting, repairing, performance analysis, checking object dependencies, and documenting. Implement security strategies and distribute a database to multiple users. You've covered many of the basic functions of Microsoft© Access©, and now you're ready to learn advanced Access features such as database management, advanced form design, packaging a database, encrypting a database, preparing a database for multiple-user access, and more. Knowledge of these features separates database professionals from the casual database users or occasional designers.This course is the third part of a three-course series that covers the skills needed to perform basic database design and development in Access.Microsoft© Access© for Office 365?: Part 1 : Focuses on the design and construction of an Access database?viewing, navigating, searching, and entering data in a database, as well as basic relational database design and creating simple tables, queries, forms, and reports.Microsoft© Access© for Office 365?: Part 2 : Focuses on optimization of an Access database, including optimizing performance and normalizing data; data validation; usability; and advanced queries, forms, and reports.Microsoft© Access© for Office 365?: Part 3 (this course): Focuses on managing the database and supporting complex database designs, including import and export of data; using action queries to manage data; creating complex forms and reports; macros and Visual Basic for Applications (VBA); and tools and strategies to manage, distribute, and secure a database.This course may be a useful component in your preparation for the Microsoft Access Expert (Microsoft 365 Apps and Office 2019): Exam MO-500 certification exam. Lesson 1: Importing and Exporting Table Data Topic A: Import and Link Data Topic B: Export Data Topic C: Create a Mail Merge Lesson 2: Using Queries to Manage Data Topic A: Create Action Queries Topic B: Create Unmatched and Duplicate Queries Lesson 3: Creating Complex Reports and Forms Topic A: Create Subreports Topic B: Create a Navigation Form Topic C: Show Details in Subforms and Popup Forms Lesson 4: Creating Access Macros Topic A: Create a Standalone Macro to Automate Repetitive Tasks Topic B: Create a Macro to Program a User Interface Component Topic C: Filter Records by Using a Condition Topic D: Create a Data Macro Lesson 5: Using VBA to Extend Database Capabilities Topic A: Introduction to VBA Topic B: Use VBA with Form Controls Lesson 6: Managing a Database Topic A: Back Up a Database Topic B: Manage Performance Issues Topic C: Document a Database Lesson 7: Distributing and Securing a Database Topic A: Split a Database for Multiple-User Access Topic B: Implement Security Topic C: Convert an Access Database to an ACCDE File Topic D: Package a Database with a Digital Signature

Duration 3 Days 18 CPD hours This course is intended for This class is intended for the following customer job roles: Cloud architects, administrators, and SysOps personnel Cloud developers and DevOps personnel Overview This course teaches participants the following skills: Plan and implement a well-architected logging and monitoring infrastructure Define Service Level Indicators (SLIs) and Service Level Objectives (SLOs) Create effective monitoring dashboards and alerts Monitor, troubleshoot, and improve Google Cloud infrastructure Analyze and export Google Cloud audit logs Find production code defects, identify bottlenecks, and improve performance Optimize monitoring costs This course teaches you techniques for monitoring, troubleshooting, and improving infrastructure and application performance in Google Cloud. Guided by the principles of Site Reliability Engineering (SRE), and using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, tracing application performance bottlenecks, and profiling CPU and memory usage. Introduction to Google Cloud Monitoring Tools Understand the purpose and capabilities of Google Cloud operations-focused components: Logging, Monitoring, Error Reporting, and Service Monitoring Understand the purpose and capabilities of Google Cloud application performance management focused components: Debugger, Trace, and Profiler Avoiding Customer Pain Construct a monitoring base on the four golden signals: latency, traffic, errors, and saturation Measure customer pain with SLIs Define critical performance measures Create and use SLOs and SLAs Achieve developer and operation harmony with error budgets Alerting Policies Develop alerting strategies Define alerting policies Add notification channels Identify types of alerts and common uses for each Construct and alert on resource groups Manage alerting policies programmatically Monitoring Critical Systems Choose best practice monitoring project architectures Differentiate Cloud IAM roles for monitoring Use the default dashboards appropriately Build custom dashboards to show resource consumption and application load Define uptime checks to track aliveness and latency Configuring Google Cloud Services for Observability Integrate logging and monitoring agents into Compute Engine VMs and images Enable and utilize Kubernetes Monitoring Extend and clarify Kubernetes monitoring with Prometheus Expose custom metrics through code, and with the help of OpenCensus Advanced Logging and Analysis Identify and choose among resource tagging approaches Define log sinks (inclusion filters) and exclusion filters Create metrics based on logs Define custom metrics Link application errors to Logging using Error Reporting Export logs to BigQuery Monitoring Network Security and Audit Logs Collect and analyze VPC Flow logs and Firewall Rules logs Enable and monitor Packet Mirroring Explain the capabilities of Network Intelligence Center Use Admin Activity audit logs to track changes to the configuration or metadata of resources Use Data Access audit logs to track accesses or changes to user-provided resource data Use System Event audit logs to track GCP administrative actions Managing Incidents Define incident management roles and communication channels Mitigate incident impact Troubleshoot root causes Resolve incidents Document incidents in a post-mortem process Investigating Application Performance Issues Debug production code to correct code defects Trace latency through layers of service interaction to eliminate performance bottlenecks Profile and identify resource-intensive functions in an application Optimizing the Costs of Monitoring Analyze resource utilization cust for monitoring related components within Google Cloud Implement best practices for controlling the cost of monitoring within Google Cloud

Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently

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Duration 1 Days 6 CPD hours Apple?s Keynote is the equivalent of Microsoft?s PowerPoint. With it?s powerful set of tools and effects, Keynote makes it easy to create stunning presentations. In this one-day class you will learn how to design and customize slides, add media and music, animate text and images, record voice over narration and the best tips and tricks for presenting the final presentation. Course covers working with a Mac, iPhone and/or iPad and demonstrates how to collaborate in real time with other users Creating a Presentation Opening Keynote Choosing a Theme and Slide Size Selecting a Master Slide Outlining a Presentation Using the Inspector Working with the Format Bar Pasting Text into an Outline Formatting Text Customizing a Slide Layout Copying Styles Between Slides Fixing Spelling Errors Working in Outline View Reordering Slides Creating Object Effects Dragging Files to Create New Slides Using the Light Table Creating a Custom Theme Creating an Empty Theme Creating Backgrounds and Formatting Text Creating a Title Slide Creating a Master Slide Saving and Sharing Themes Applying a Custom Theme Dragging Files to Create New Slides Using the Light Table Working with Tables and Charts Tables and Charts Working with Tables and Charts Chart and Table options Understanding Axis and Series 2D and 3D Charts Animating Tables and Charts Adding content from Microsoft Office or PDF Files Adding Media to Your Presentation Adding Photos and Graphics Enhancing Photos in Keynote Customizing Photo or Graphic Layouts Making Part of a Photo or Graphic Transparent Masking Photos and Shapes Instant Alpha Adding Hyperlinks and Navigation Adding a Chart or Table Adding Audio or Soundtrack Adding a Global Transition Adding Video and Animation Creating Builds to Reveal Text Creating a Sequence Build to Reveal a Table Creating a Smart Build Creating Custom Animation Animating Charts Animating Your Presentation Previewing the Presentation 2D and 3D Transitions Between Slides Creating Object Effects Running and Pausing your Presentation Animating a Title Slide Adding HyperLinks to your Presentation Using Magic Move Recording a Narrated, Self Playing Presentation Rehearsing and Delivering Your Presentation Reviewing your Presentation Adding Comments to your Presentation Adding and Printing Presenter Notes Rehearsing your Presentation Creating a Self-running Slideshow Troubleshooting your Presentation Indexing with Spotlight Importing from PowerPoint Animating a Title Slide Cleaning Up a Presentation Enhancing a Presentation Using an iOS Device as a Remote Control - Sharing Your Presentation Printing handouts Export for Email Exporting to PDFs Exporting to PowerPoint Exporting to Quicktime Sending to YouTube or the web Exporting Export For Email, PDFs Uploading to iCloud or Moving between Computer and iCloud Exporting to PowerPoint Exporting to QuickTime Sending to YouTube Troubleshooting & Cleaning Up Your PresentationTips and Tricks Working with Keynote on an iOS mobile device Additional course details: Nexus Humans Apple Keynote 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 Apple Keynote 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 introductory-level course is for experienced DBAs who will be working with MongoDB. In order to gain the most from this course you should have: Prior practical experience in Database Administration Experience working with Linux and be comfortable working with command line Overview This skills-focused course is approximately 50% hands-on. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will explore: The MongoDB Basic Architecture and Installation MongoDB administration User Management MongoDB security Indexes Backup & Recovery High Availability / Replication Diagnostics & Troubleshooting MongoDB is fast becoming the database of choice for big data applications, being one of the most popular and widely implemented NoSQL databases. Its scalability, robustness, and flexibility have made it extremely popular among business enterprises who use it to implement a variety of activities including social communications, analytics, content management, archiving and other activities. This has led to an increased demand for MongoDB administrators who have the skills to handle cross functional duties. Geared for experienced DBAs, MongoDB for DBAs is a three-day hands-on course that explores the concepts, architecture and pitfalls of managing a MongoDB installation. This course is targeted to the DBA who is familiar with the concepts and tasks of working with a Relational database and is not responsible for a NoSQL MongoDB database. You will learn the critical aspects of MongoDB and use it to solve data management challenges. You will learn to manage MongoDB effectively by gaining expertise in MongoDB administration tools, syntax, MongoDB installations, configurations, security, troubleshooting, backup, scaling and many other features. The focus of this course is on practical skills and applying the DBA existing database knowledge to a MongoDB installation. Introduction to MongoDB Basic Architecture and Installation Differentiate database categories Learn MongoDB design goals List MongoDB tools Describe JSON and BSON Understanding the basic concepts of a Database Database categories: What is NoSQL? Why NoSQL? Benefit over RDBMS Types of NoSQL Database, and NoSQL vs. SQL Comparison, ACID & Base Property CAP Theorem, implementing NoSQL and what is MongoDB? Graph Database Overview of MongoDB, Design Goals for MongoDB Server and Database, MongoDB tools Understanding the following: Collection, Documents and Key/Values, etc., Introduction to JSON and BSON documents Environment setup (live Handson) and using various MongoDB tools available in the MongoDB Package MongoDB Administration Take database backup and restore MongoDB© Export and import data from/ to a MongoDB© instance Check server status and DB status Monitor various resource utilization of a mongod instance Understand various optimization strategies Administration concepts in MongoDB Monitoring issues related to Database Monitoring at Server, Database, Collection level, and various Monitoring tools related to MongoDB Database Profiling, Locks, Memory Usage, No of connections, page fault etc., Backup and Recovery Methods for MongoDB Export and Import of Data to and from MongoDB Run time configuration of MongoDB Production notes/ best practices Data Managements in MongoDB (Capped Collections/ Expired data from TTL), TTL Collection Features GridFS Memory-Mapped Files Journaling Mechanics Storage Engines Power of 2-Sized Allocations No Padding Allocation Strategy Diagnosing Performance Issues Optimization Strategies for MongoDB Configure Tag Sets for Replica Set. Optimize Query Performance Monitoring Strategies for MongoDB . MongoDB Utilities MongoDB Commands MongoDB Management Service (MMS) Data Backup Strategies in MongoDB Copying Underlying Data Files Backup with MongoDump Fsync and Lock MongoDB Ops Manager Backup Software Security Strategies in MongoDB Authentication Implementation in MongoDB . Authentication in a Replica set Authentication on Sharded Clusters Authorization End-to-End Auditing for Compliance User Management Create a User Administrator. Add a User to a Database. Create/Assign User a Role. Verify/Modify a User Access/Privileges. Change a User?s Password MongoDB Security Knowing security concepts in MongoDB Understand how Authentication and Authorisation works Security Introduction Security Concepts Indexes Index Introduction, Index Concepts, Index Types Index Properties Index Creation and Indexing Reference Introduction to Aggregation Aggregation Approach to Aggregation sort Order Pipeline Operators and Indexes Text Indexes Aggregate Pipeline Stages Text Search MapReduce Index Creation Aggregation Operations Index Creation on Replica Set Remove, Modify, and Rebuild Indexes Listing Indexes Measure Index Use Control Index Use Index Use Reporting Geospatial Indexes MongoDB?s Geospatial Query Operators GeoWith Operator Backup & Recovery Import and Export MongoDB Data Restore and recovery of MongoDB(Including point in time Recovery) Restore a Replica Set from MongoDB Backups Recover Data after an Unexpected Shutdown Backup and Restore with Filesystem Snapshots Back Up and Restore with MongoDB Tools Backup and Restore Sharded Clusters High Availability (Replication ) Understand the concept of Replication in MongoDB© ? Create a production like Replica Set Introduction to Replication (High Availability), Concepts around Replication What is Replica Set and Master Slave Replication? Type of Replication in MongoDB How to setup a replicated cluster & managing replica sets etc., Master-Slave Replication Replica Set in MongoDB Automatic Failover Replica Set Members Write Concern Write Concern Levels Write Concern for a Replica Set Modify Default Write Concern Read Preference Read Preference Modes Blocking for Replication Tag Set Configure Tag Sets for Replica set. Replica Set Deployment Strategies . Replica Set Deployment Patterns Oplog File Replication State and Local Database, Replication Administration Diagnostics & Troubleshooting Troubleshoot slow queries Diagnose connectivity problems Understand diagnostic tools Learn common production issues Learn fixes and solutions. Additional course details: Nexus Humans Introduction to MongoDB for DBAs (TTDB4680) 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 Introduction to MongoDB for DBAs (TTDB4680) 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.

Adobe After Effects Training Fundamentals to Essentials. Learn essential techniques for creating visual effects and animations. Adobe After Effects Essentials VFX Course to learn auto-correction methods and tools, adjust video effects or presets to layers, and utilize 3D space for modifying composition. Click here for more info: Website Duration: 20 hours Approach: 1-on-1 personalized sessions and Tailored content. Flexibility: Book a time convenient for you, Monday to Saturday, between 9 am and 5 pm. Duration: 20 Hours Module 1: Introduction to After Effects (2 hours) Understanding the After Effects interface Project planning and organization techniques Module 2: Asset Preparation and Composition Setup (3 hours) Importing and organizing multimedia assets Setting up compositions for different media formats Module 3: Applying Transformations and Effects (5 hours) Animating images, videos, and text Applying diverse transformations and effects for dynamic visuals Module 4: Mastering Masking and Compositing (5 hours) Creating and refining masks for precise editing Advanced compositing techniques for seamless integration Module 5: Rendering High-Quality Videos (3 hours) Configuring rendering settings for various output formats Ensuring optimal quality in the final video output Module 6: Project Review and Q&A Session (2 hours) Reviewing projects and addressing individual queries Fine-tuning techniques based on participants' needs Course Benefits: Hands-on learning with personalized attention Mastering crucial After Effects skills for diverse media projects Access to recorded lessons for future reference Continuous email support for post-course inquiries After Effects Download  https://www.adobe.com Upon completing the Essential After Effects Skills Mastery course, participants will: Proficiency in After Effects: Master the After Effects interface, gaining confidence in navigating the software effectively. Strategic Project Planning: Acquire skills in project organization and planning, ensuring a systematic approach to video projects. Advanced Asset Management: Learn efficient techniques for importing, organizing, and managing multimedia assets within After Effects projects. Dynamic Composition Creation: Gain expertise in setting up compositions tailored to various media formats, understanding their intricacies and potential applications. Creative Animation Techniques: Apply diverse transformations and effects to images, videos, and text, enhancing the visual appeal of multimedia content. Precision in Masking and Compositing: Master the art of masking, enabling precise editing, and explore advanced compositing techniques for seamless visual integration. High-Quality Video Rendering: Understand rendering settings, ensuring optimal video quality for different output formats, whether for online platforms or professional presentations. Project Review and Refinement: Engage in project reviews and Q&A sessions, refining techniques and addressing individual queries for comprehensive learning. Confidence in Video Production: Develop confidence in producing high-quality videos, equipped with a robust skill set essential for various creative projects. Continuous Learning Support: Benefit from continuous email support, providing assistance with post-course inquiries, ensuring ongoing learning and skill refinement. In this course, you will learn: Efficient workflow planning and asset organization in After Effects projects. Creative project development techniques for engaging visuals. Image and video asset preparation using Photoshop. After Effects project setup, compositions, and asset integration. Animation of transformations and effects on layers. Advanced mask creation and animation for creative compositing. Dynamic text animation and 3D exploration. Keying and seamless visual integration techniques. Understanding export settings, project backup, and archiving. Learning Objectives: Upon completion, you will master asset organization, animations, masks, text effects, and seamless integration, ensuring proficiency in After Effects projects. Prerequisites: Basic computer skills and a fast-paced learning mindset are required. No prior experience is necessary, making this course suitable for beginners. Key Features: Personalized one-on-one or live online coaching sessions. Suitable for both beginners and professionals in motion graphics and animation. Tailored Training: Courses customized to meet your specific requirements. Flexible scheduling options to suit your availability. Industry Standard: Adobe After Effects, the industry-preferred software for visual effects, motion graphics, and compositing. Widely used in filmmaking, video games, and TV production. Learning Approach: Hands-on training with detailed, step-by-step demonstrations. Real-time feedback during sessions, along with access to session recordings. Course Benefits: Certificate of Attendance upon completion. Comprehensive practical training guide for reference. Lifetime email and phone support for continuous assistance. Help with software installation for a seamless learning experience. Lifetime Support: Ongoing email and phone/WhatsApp support for lifelong learning assistance. Elevate your motion graphics expertise with our Adobe After Effects Basic to Fundamentals Training Course. Open doors to exciting opportunities in the ever-evolving realm of visual effects.

Duration 4 Days 24 CPD hours This course is intended for Project administrators and ETL developers responsible for data extraction and transformation using DataStage. Overview Describe the uses of DataStage and the DataStage workflowDescribe the Information Server architecture and how DataStage fits within itDescribe the Information Server and DataStage deployment optionsUse the Information Server Web Console and the DataStage Administrator client to create DataStage users and to configure the DataStage environmentImport and export DataStage objects to a fileImport table definitions for sequential files and relational tablesDesign, compile, run, and monitor DataStage parallel jobsDesign jobs that read and write to sequential filesDescribe the DataStage parallel processing architectureDesign jobs that combine data using joins and lookupsDesign jobs that sort and aggregate dataImplement complex business logic using the DataStage Transformer stageDebug DataStage jobs using the DataStage PX Debugger This course enables the project administrators & developers to acquire the skills necessary to develop parallel jobs in DataStage. Students will learn to create parallel jobs that access sequential & relational data, and combine and transform the data. Course Outline Introduction to DataStage Deployment DataStage Administration Work with Metadata Create Parallel Jobs Access Sequential Data Partitioning and Collecting Algorithms Combine Data Group Processing Stages Transformer Stage Repository Functions Work with Relational Data Control Jobs