2974 Design courses in Thatcham delivered Live Online

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Duration 5 Days 30 CPD hours This course is intended for The CCSP is ideal for IT and information security leaders responsible for applying best practices to cloud security architecture, design, operations and service orchestration. Overview Upon completing this course, the participants will gain valuable knowledge and skills including the ability to: - Successfully pass the CCSP exam. - Understand the fundamentals of the cloud computing architecture framework. - Understand security challenges associated with different types of cloud services. - Identify and evaluate security risks for their organization?s cloud environments. - Select and implement appropriate controls to ensure secure implementation of cloud services. - Thoroughly understand the 6 essential core domains of the CCSP common body of knowledge: 1. Architectural Concepts & Design Requirements 2. Cloud Data Security 3. Cloud Platform & Infrastructure Security 4. Cloud Application Security 5. Operations 6. Legal & Compliance The goal of the course is to prepare professionals for the challenging CCSP exam by covering the objectives of the exam based on the six domains as defined in the (ISC)2 CCSP common body of knowledge. 1 - Architectural Concepts and Design Requirements Cloud Computing Concepts Cloud Reference Architecture Cloud Computing Security Concepts Design Principles of Secure Cloud Computing Trusted Cloud Services 2 - Cloud Data Security CSA (Cloud Security Alliance) Cloud Data Lifecycle Cloud Data Storage Architectures Data Security Strategies Data Discovery and Classification Technologies Protecting Privacy and PII (Personally Identifiable Information) Data Rights Management Data Retention, Deletion, and Archiving Policies Auditability, Traceability, and Accountability of Data Events 3 - Cloud Platform and Infrastructure Security Cloud Infrastructure Components Cloud Infrastructure Risks Designing and Planning Security Controls Disaster Recovery and Business Continuity Management 4 - Cloud Application Security The Need for Security Awareness and Training in application Security Cloud Software Assurance and Validation Verified Secure Software SDLC (Software Development Life Cycle) Process Secure SDLC Specifics of Cloud Application Architecture Secure IAM (Identity and Access Management) Solutions 5 - Operations Planning Process for the Data Center Design Installation and Configuration of Physical Infrastructure for Cloud Environment Running Physical Infrastructure for Cloud Environment Managing Physical Infrastructure for Cloud Environment Installation and Configuration of Logical Infrastructure for Cloud Environment Running Logical Infrastructure for Cloud Environment Managing Logical Infrastructure for Cloud Environment Compliance with Regulations and Controls Risk Assessment for Logical and Physical Infrastructure Collection, Acquisition, and Preservation of Digital Evidence Managing Communication with Stakeholders 6 - Legal and Compliance Legal Requirements and Unique Risks within the Cloud Environment Relevant Privacy and PII Laws and Regulations Audit Process, Methodologies, and Required Adaptions for a Cloud Environment Implications of Cloud to Enterprise Risk Management Outsourcing and Cloud Contract Design Vendor Management

Indesign face to face training customised and bespoke. One to One Online or Face to Face

Why Learn Adobe Illustrator Basic to Intermediate Training Course? Course Link With our Illustrator Intermediate Course take your vector graphics to the next level and bring your designs to life with advanced techniques and tools. Gain hands-on skills in creating shapes, patterns, and logos, and learn how to edit images with precision. Duration: 6 hrs. Method: 1-on-1 - Personalized attention Schedule: Schedule by pre-booking a convenient hour of your choice, available from Mon to Sat between 9 am and 7 pm. This course covers fundamental tools and features of Adobe Illustrator, aimed at beginners, to enable them to create and edit vector graphics efficiently and effectively. Adobe Illustrator is the industry-leading vector graphic software for working with vector graphics, providing a comprehensive set of tools for producing exceptional graphics for various media, including print, video, web, and mobile devices. Course Title: Adobe Illustrator  Course Outline: Mastering Advanced Drawing Techniques  In-Depth Curvature Tool Mastery Advanced Pen Tool Usage: Drawing Complex Paths Understanding Path, Anchor Points, and Handles Precision Editing with Direct Selection Tool Slicing and Dividing Paths using Scissors and Knife Tools Exploring Advanced Stroke and Path Options  Custom Width Profiles with the Width Tool Diverse Brushes Exploration in Brush Library Creating Scattered Objects with Scatter Brushes Applying Patterns along Paths with Pattern Brushes Crafting Custom Pattern Brushes Understanding Graphic Styles  Efficient Usage of Graphic Style Libraries Creating, Deleting, and Saving Graphic Styles with Graphic Style Panel Leveraging the Power of Graphic Styles Mastering Pattern Manipulation Techniques  Creating and Editing Patterns using Pattern Mode Modifying Pattern Elements with Precision Adjusting Spacing and Resizing Patterns using the Tile Tool Rectifying Background Errors with Overlap Options Saving and Exporting Custom Patterns Exploring Advanced Gradient Options  Gradient Styles Exploration Fine-Tuning Gradients with the Gradient Annotator Creating Free Transform Gradient Points and Lines Applying Single Gradient across Multiple Objects Gradient and Transparency Integration Creative Applications and Practical Projects  Applying Advanced Techniques to Real-World Projects Creative Problem-Solving Strategies Q&A Session and Feedback Gathering Note: Each section includes practical exercises and hands-on projects to reinforce learning. The course emphasizes practical application, ensuring participants leave with tangible skills and a deep understanding of advanced Adobe Illustrator concepts. Q: What will I learn in the London Design Training Course in Adobe Illustrator? A: In this course, you'll learn essential techniques for creating and editing vector graphics using Adobe Illustrator. The training covers drawing tools, shapes, layers, effects, styles, logo design, Image Trace, Live Paint, and integration into your design workflow. Q: What can I expect to achieve after completing the Illustrator training course? A: By the end of the course, you'll be proficient in Illustrator tools, create graphics for print, web, and mobile, design logos with special effects, and manipulate images. You'll receive an accredited Illustrator training certification and post-course support. Q: Is any prior knowledge of Illustrator required to attend the course? A: No, the course is designed for beginners, and no prior knowledge of Illustrator is necessary. Q: Which version of Illustrator will the training be based on? A: The training is primarily based on Illustrator 2023, but the techniques apply to recent releases. Q: Can I attend the course on either a Windows or Mac computer? A: Yes, Illustrator works identically on both Windows and Mac. Our training centers offer both platforms for your convenience.

Lean Six Sigma Black Belt Certification Program: Virtual In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Why AutoCAD Night Training Course? This Autodesk AutoCAD 2D Evening Course, 10 hours, is perfect for beginners aiming to create 2D plans, elevations, sections. It covers all tools in AutoCAD 2D, making it valuable for both newcomers and those aspiring to enhance their skills. Click here for more info: Website When: Personalized 1-on-1 sessions. Available from Mon to Sat 9 am to 7 pm. Book over the phone, call 02077202581 Duration: 10 hours (Split 10 hrs over as many as days you want) Method: In-person or live online training Course Content: Foundational Shape Construction Manipulating Lines, Arcs, and Polylines Optimizing Object Alignment with Grip Tools Data Management and Backup Protocols File Format Exploration and Understanding Disaster Recovery Strategies Advanced Object Creation Techniques Precision Measurement Unit Handling Dynamic Input Methods Utilizing Inquiry Commands and Measurement Tools Effective Object Visualization and Navigation Zoom, Pan, and Object Manipulation Swift Object Management Strategies Object Transformation and Alteration Techniques Functions for Trimming, Extending, and Offsetting Objects Creating Various Geometric Shapes Object Editing, Joining, and Filleting Stretching and Organizing Objects Layer Management and Customization Configuring Object Properties and Linetypes Designing Layouts and Efficient Page Configurations Scaling Drawing Views and Adding Annotations Text Creation, Styling, and Editing Dimensioning Principles and Customization Implementing Multileaders for Annotations Object Hatching and Editing Techniques Managing Reusable Content: Blocks and Symbols Utilizing Tool Palettes and Working with Groups Understanding Model Space and Paper Space Creating Layouts and Viewports Scaling Viewports and Plotting/PDF Output Managing Multiple Sheet Drawings Optimizing Plotstyles for Printing Creating Custom Drawing Templates To download AutoCAD, visit Autodesk's official website. Advantages: AutoCAD stands as the industry-leading computer-aided design (CAD) software, widely adopted for creating architectural, engineering, and construction drawings. Acquire essential skills applicable across a diverse spectrum of industries. Assessment: Evaluation will occur informally during classes, which comprehensively cover specific topics, complemented by practical drawing exercises to reinforce skills and knowledge. Additionally, we offer longer, independent drawing tasks that encompass multiple acquired skills, evaluated against professional benchmarks. Requirements: Prospective participants should possess basic computer literacy and engagement in professions where CAD is utilized. English Proficiency: Applicants are expected to demonstrate proficiency in both written and spoken English. Why Opt for This Course? Our AutoCAD course is your gateway to mastering the essential skills for creating top-notch technical drawings. Designed with beginners in mind, this course is perfect for individuals who have little to no prior experience with AutoCAD. If your work or studies involve CAD drawings, gaining a solid grasp of the program is crucial for confidence and proficiency. Upon enrollment, students gain access to a free 30 days trial. While classes are conducted using AutoCAD on PC, it's worth noting that the course is compatible with AutoCAD on Mac, albeit with slight interface variations. Who Should Attend? This course caters to those eager to acquire the skills necessary for creating and interpreting drawings produced in AutoCAD. Our diverse system hails from various industries, including engineering, architecture, landscape architecture, construction, electronics, and product design. Why Opt for CAD Training? Practical Learning Experience: Immerse yourself in hands-on training. Personalized One-to-One AutoCAD Classes: Benefit from individualized attention. Expert and Knowledgeable Instructors: Learn from skilled and experienced teachers. Online Training Recordings: Access recorded AutoCAD training sessions online. Best Price Guarantee: Enjoy competitive pricing with a satisfaction guarantee. Pre and Post-Training Support: Receive lifetime free support before and after completing your training. Flexible Schedule: Choose your class timings and dates-weekdays, weekends, or evenings. Tailored Course Content: Customize the AutoCAD course to align with your specific needs. Access Anywhere: Access AutoCAD training and support from any location.

Unity 3d face to face training customised and bespoke.

Who Should Attend Rhino 3D Evening Training Course? Click here for info. This Evening Course is for individuals seeking to learn 2D and 3D modeling skills in a supportive and creative learning environment. Whether you are new to Rhino or want to expand your existing knowledge, this course is for product, furniture, architectural, and jewelry design industries. Duration: 10 hrs Method: 1-on-1, Personalized attention Schedule: Tailor your own schedule hours of your choice, available from Mon to Sat between 9 am and 7 pm Course Inclusions: Free Lifetime email support: Enjoy the flexibility of a free lifetime email support. Expert Instruction: Learn from experienced architects, designers, and software professionals, ensuring top-notch teaching. Hands-On Learning: Engage in practical, hands-on lessons with personalized project work to apply your skills effectively. Digital Reference: Access valuable video tutorials and a digital reference book for convenient revision and continuous development. London Design Training Course Certificate of Completion: Receive a certificate upon course completion, enhancing your CV and LinkedIn profile. Free Career Guidance: Benefit from career guidance, including tips on job applications and setting up a creative business, to stand out in the competitive design industry. Rhino 3D Basic to Intermediate Training Course Course Duration: 10 hours Introduction to Rhino and Interface: Familiarizing with Rhino's command system and toolbar usage. Navigating the geometry menus, command line, and status bar efficiently. Understanding the Properties window and its functionalities. Managing file operations, including opening and saving files. Grasping the three entity types: curves, surfaces, and solids. Exploring various geometric elements, such as Bezier curves, B-splines, NURBS objects, isocurve surfaces, and mesh surfaces. Setting measurement units for accurate modeling. Navigation: Introducing the viewport and its features. Using construction planes to aid in modeling. Utilizing shading modes for better visualization. Learning essential viewport controls: pan, zoom, rotate, and reset. Workflow Basics: Creating basic objects like curves, surfaces, and solids. Performing fundamental transformations to manipulate objects. Organizing projects efficiently using layers. Drawing: 2D Geometry: Understanding the creation of lines, polylines, rectangles, polygons, arcs, circles, and ellipses. Drawing freeform curves for more creative designs. Modeling: 3D Surfaces: Comparing various 3D surface types. Utilizing extrusion to add features to models. Creating surfaces with loft, revolve, rail revolve, sweep rail, and network surface commands. Constructing complex surfaces with the Network Surface tool. Modeling: 3D Solids: Introducing solid modeling techniques. Creating solids with primitives and curves. Applying Boolean operators to create unique shapes. Editing solids using the solid edit tool. Transforming solids and incorporating modeling aids like Grid Snap, Ortho, and Planar. Editing and Transforming Objects: Using Fillet and Chamfer to edit corners. Employing curve Booleans for trimming and splitting. Mastering the Drag and Nudge tools for object movement and rotation. Copying, pasting, and grouping objects effectively. Scaling and duplicating objects with the Mirror command. Analysis and Degrees: Understanding degrees of curves and surfaces. Creating screen captures for quick proofs. Generating 2D views and rendering projects. Preparation for 3D Printing and Manufacturing: Preparing models for prototyping by ensuring closed gaps. Using the shell technique to create wall thickness suitable for 3D printing.

Official BRCGS Packaging Sites Conversion Issue 7 course. Delivered online (Zoom) by a live BRCGS Approved Training Partner. Exam and Certificate fee included in the price.

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints