264 Courses in Nottingham delivered Live Online

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Who is this course for? Film and Game Design Training Classes is tailored for individuals passionate about 3D for Games. Ideal for those in London seeking specialized skills for lucrative job opportunities in the gaming industry. Software we teach: 3ds max or Maya, Vray, After effects and Photoshop. Check our Website Duration: 40 hours. 1-on-1 Training. When can I book: 9 am - 4 pm (Choose your preferred day and time once a week). Monday to Saturday: 9 am - 7 pm (Flexible timing with advance booking).  Course Title: Film & Game Design Training Classes Option A - 40-Hour Program: Option A offers comprehensive training for aspiring film and game designers, covering vital industry software and skills. Module 1: 3ds Max and Advanced Animation (20 hours) - Introduction to 3ds Max: Interface overview. - Basic 3D Modeling: Creating simple 3D objects. - Advanced 3D Modeling: Complex modeling techniques. - Texturing and Materials: Applying textures and materials. - Lighting and Rendering: Scene lighting and rendering setup. - Character Animation: Rigging and animating characters. - Advanced Animation Techniques: Keyframes, motion paths, and more. - Scene Composition: Assembling complex scenes. Module 2: Vray (6 hours) - Vray Introduction: Understanding Vray renderer. - Lighting with Vray: Creating realistic lighting setups. - Material Creation: Crafting materials for realistic surfaces. - Rendering with Vray: Optimization and execution. Module 3: Photoshop (6 hours) - Photoshop Basics: Navigating the interface. - Image Editing: Crop, resize, and enhance. - Layer Management: Working with layers. - Text and Typography: Adding and manipulating text. - Photo Manipulation: Advanced image techniques. - Creating Visual Assets: Designing textures and graphics. Module 4: After Effects: Video and Sound Editing (8 hours) - Introduction to After Effects: Interface overview. - Video Editing: Cut, trim, and arrange video clips. - Transitions and Effects: Apply visual effects and transitions. - Sound Editing: Add and edit audio tracks. - Motion Graphics: Create motion graphics and titles. - Exporting and Rendering: Prepare projects for final output. Film & Game Design Training Course Information Are you ready to explore our Training Course for Film & Game Designers? Here's a comprehensive overview to guide you through: When Can I Book This Training Course? Personalize your training with our flexible 1-on-1 sessions. Tailor your schedule by pre-booking your preferred hours. Available Monday to Saturday, 9 a.m. to 7 p.m. For phone bookings, call 02077202581. Training Duration The course spans 40 hours, allowing flexibility for your ideal schedule. Training Method Experience 1-on-1 training, in-person Face to Face or Live Online. Expect personalized attention, tailored content, flexible learning, and individual support. Opt for Live Online 1-on-1 sessions via Zoom for convenience. Enroll Today Ready to start your exciting journey? Click the link below to enroll in our 1-on-1 Course. Film & Game Design Training Overview In our comprehensive training program for film and game designers, refine your skills using industry-leading software tools. This prepares you to bring your creative visions to life. Option A: 3ds Max and Advanced Animation (20 hours) Vray (6 hours) Photoshop (6 hours) Aftereffects: Video and Sound Editing (8 hours) Option B: Maya and Advanced Animation (20 hours) Vray (6 hours) Photoshop (6 hours) Aftereffects: Video and Sound Editing (8 hours) Both options offer flexibility for Mac and Windows operating systems, ensuring accessibility for all learners. Key Benefits Price Assurance: Exceptional value for your film and game design career investment. One-on-One Training: Customized learning for your unique style. Flexible Scheduling: Choose your training time, available Monday to Sunday, 9 am to 8 pm. Lifetime Email and Phone Support: Ongoing assistance beyond training for your career growth. Computer Configuration Assistance: Guidance for seamless software installation. Referral Benefits: Special discounts for referrals and savings on group training. Embark on a transformative journey and unlock your potential in the thrilling fields of film and game design!

Duration 5 Days 30 CPD hours Overview By the end of the course, you should be able to meet the following objectives: Describe the architecture and main components of NSX Explain the features and benefits of NSX Deploy the NSX Management cluster and VMware NSX Edge™ nodes Prepare VMware ESXi™ hosts to participate in NSX networking Create and configure segments for layer 2 forwarding Create and configure Tier-0 and Tier-1 gateways for logical routing Use distributed and gateway firewall policies to filter east-west and north-south traffic in NSX Configure Advanced Threat Prevention features Configure network services on NSX Edge nodes Use VMware Identity Manager™ and LDAP to manage users and access Explain the use cases, importance, and architecture of Federation This five-day, fast-paced course provides comprehensive training to install, configure, and manage a VMware NSX© environment. This course covers key features and functionality offered in the NSX 4.0.0.1 and NSX 4.0.1 releases, including the overall infrastructure, logical switching, logical routing, networking and security services, firewalls and advanced threat prevention, and more. Course Introduction Introductions and course logistics Course objectives VMware Virtual Cloud Network and VMware NSX Introduce the VMware Virtual Cloud Network vision Describe the NSX product portfolio Discuss NSX features, use cases, and benefits Explain NSX architecture and components Explain the management, control, data, and consumption planes and their functions. Preparing the NSX Infrastructure Deploy VMware NSX© ManagerTM nodes on ESXi hypervisors Navigate through the NSX UI Explain data plane components such as N-VDS/VDS, transport nodes, transport zones, profiles, and more Perform transport node preparation and configure the data plane infrastructure Verify transport node status and connectivity Explain DPU-based acceleration in NSX Install NSX using DPUs NSX Logical Switching Introduce key components and terminology in logical switching Describe the function and types of L2 segments Explain tunneling and the Geneve encapsulation Configure logical segments and attach hosts using NSX UI Describe the function and types of segment profiles Create segment profiles and apply them to segments and ports Explain the function of MAC, ARP, and TEP tables used in packet forwarding Demonstrate L2 unicast packet flow Explain ARP suppression and BUM traffic handling NSX Logical Routing Describe the logical routing function and use cases Introduce the two-tier routing architecture, topologies, and components Explain the Tier-0 and Tier-1 gateway functions Describe the logical router components: Service Router and Distributed Router Discuss the architecture and function of NSX Edge nodes Discuss deployment options of NSX Edge nodes Configure NSX Edge nodes and create NSX Edge clusters Configure Tier-0 and Tier-1 gateways Examine single-tier and multitier packet flows Configure static routing and dynamic routing, including BGP and OSPF Enable ECMP on a Tier-0 gateway Describe NSX Edge HA, failure detection, and failback modes Configure VRF Lite NSX Bridging Describe the function of logical bridging Discuss the logical bridging use cases Compare routing and bridging solutions Explain the components of logical bridging Create bridge clusters and bridge profiles NSX Firewalls Describe NSX segmentation Identify the steps to enforce Zero-Trust with NSX segmentation Describe the Distributed Firewall architecture, components, and function Configure Distributed Firewall sections and rules Configure the Distributed Firewall on VDS Describe the Gateway Firewall architecture, components, and function Configure Gateway Firewall sections and rules NSX Advanced Threat Prevention Explain NSX IDS/IPS and its use cases Configure NSX IDS/IPS Deploy NSX Application Platform Identify the components and architecture of NSX Malware Prevention Configure NSX Malware Prevention for east-west and north-south traffic Describe the use cases and architecture of VMware NSX© Intelligence? Identify the components and architecture of VMware NSX© Network Detection and Response? Use NSX Network Detection and Response to analyze network traffic events. NSX Services Explain and configure Network Address Translation (NAT) Explain and configure DNS and DHCP services Describe VMware NSX© Advanced Load Balancer? architecture, components, topologies, and use cases. Configure NSX Advanced Load Balancer Discuss the IPSec VPN and L2 VPN function and use cases Configure IPSec VPN and L2 VPN using the NSX UI NSX User and Role Management Describe the function and benefits of VMware Identity Manager? in NSX Integrate VMware Identity Manager with NSX Integrate LDAP with NSX Identify the various types of users, authentication policies, and permissions Use role-based access control to restrict user access Explain object-based access control in NSX NSX Federation Introduce the NSX Federation key concepts, terminology, and use cases. Explain the onboarding process of NSX Federation Describe the NSX Federation switching and routing functions. Describe the NSX Federation security concepts.

Dive into the dynamic realm of game development with our Unreal Engine Beginner's Course. Perfect for novices, this comprehensive program introduces you to the fundamentals of Unreal Engine, guiding you through its intuitive interface and empowering you to create captivating 3D worlds.

Helping customers buy products or services from retail organisations such as department stores, garden centres, high street chains, supermarkets and online and mail order businesses.

Leading end-to-end sales interaction with customers and managing sales internally within an organisation.

Managing the movement of goods across all sectors and distances for a range of customers from private individuals and sole traders through to large global organisations.

Duration 5 Days 30 CPD hours This course is intended for Experienced security administrators or network administrators Overview By the end of the course, you should be able to meet the following objectives: Describe the architecture and main components of NSX-T Data Center Explain the features and benefits of NSX-T Data Center Deploy the NSX Management cluster and VMware NSX Edge™ nodes Prepare VMware ESXi™ and KVM hosts to participate in NSX-T Data Center networking Create and configure segments for layer 2 forwarding Create and configure Tier-0 and Tier-1 gateways for logical routing Use distributed and gateway firewall policies to filter east-west and north-south traffic in NSX-T Data Center Configure Advanced Threat Prevention features Configure network services on NSX Edge nodes Use VMware Identity Manager and LDAP to manage users and access Explain the use cases, importance, and architecture of Federation This five-day, fast-paced course provides comprehensive training on how to install, configure, and manage a VMware NSX-T? Data Center environment. This course covers key NSX-T Data Center features and functionality offered in the NSX-T Data Center 3.2 release, including the overall infrastructure, logical switching, logical routing, networking and security services, firewalls and advanced threat prevention, and more. Course Introduction Introductions and course logistics Course objectives VMware Virtual Cloud Network and NSX-T Data Center Introduce the VMware Virtual Cloud Network vision Discuss NSX-T Data Center solutions, use cases, and benefits Explain NSX-T Data Center architecture and components Describe the VMware NSXTM product portfolio and features Explain the management, control, data, and consumption planes and function Preparing the NSX-T Data Center Infrastructure Describe NSX Management Cluster Deploy VMware NSXTM ManagerTM nodes on VMware ESXi and KVM hypervisors Navigate through the NSX Manager UI Explain data-plane components such as N-VDS/VDS, transport nodes, transport zones, profiles, and more Perform transport node preparation and establish the data center infrastructure Verify transport node status and connectivity NSX-T Data Center Logical Switching Introduce key components and terminology in logical switching Describe the function and types of L2 segments Explain tunneling and the GENEVE encapsulation Configure logical segments and attach hosts using NSX Manager UI Describe the function and types of segment profiles Create segment profiles and apply them to segments and ports Explain the function of MAC, ARP, and TEP tables used in packet forwarding Demonstrate L2 unicast packet flow Explain ARP suppression and BUM traffic handling NSX-T Data Center Logical Routing Describe the logical routing function and use cases Introduce the two-tier routing architecture, topologies, and components Explain the Tier-0 and Tier-1 Gateway functions Describe the logical router components: Service Router and Distributed Router Discuss the architecture and function of NSX Edge nodes Discuss deployment options of NSX Edge nodes Configure NSX Edge nodes and create NSX Edge clusters Configure Tier-0 and Tier-1 Gateways Examine the single-tier and multitier packet flow Configure static routing and dynamic routing, including BGP and OSPF Enable ECMP on Tier-0 Gateway Describe NSX Edge HA, failure detection, and failback modes Configure VRF Lite NSX-T Data Center Bridging Describe the function of logical bridging Discuss the logical bridging use cases Compare routing and bridging solutions Explain the components of logical bridging Create bridge clusters and bridge profiles NSX-T Data Center Firewalls Describe NSX segmentation Identify the steps to enforce Zero-Trust with NSX segmentation Describe the Distributed Firewall architecture, components, and function Configure Distributed Firewall sections and rules Configure the Distributed Firewall on VDS Describe the Gateway Firewall architecture, components, and function Configure Gateway Firewall sections and rules NSX-T Data Center Advanced Threat Prevention Explain NSX IDS/IPS and its use cases Configure NSX IDS/IPS Deploy the NSX Application Platform Identify the components and architecture of NSX Malware Prevention Configure NSX Malware Prevention for east-west and north-south traffic Describe the use cases and architecture of NSX Intelligence Identify the components and architecture of VMware NSX© Network Detection and Response? Use NSX Network Detection and Response to analyze network traffic events. NSX-T Data Center Services Describe NSX-T Data Center services Explain and configure Network Address Translation (NAT) Explain and configure DNS and DHCP services Describe VMware NSX© Advanced Load Balancer? architecture, components, topologies, and use cases. Configure NSX Advanced Load Balancer Discuss the IPSec VPN and L2 VPN function and use cases Configure IPSec VPN and L2 VPN using the NSX Manager UI NSX-T Data Center User and Role Management Describe the function and benefits of VMware Identity Manager? in NSX-T Data Center Integrate VMware Identity Manager with NSX-T Data Center Integrate LDAP with NSX-T Data Center Identify the various types of users, authentication policies, and permissions Use role-based access control to restrict user access NSX-T Data Center Federation Introduce the NSX-T Data Center Federation key concepts, terminology, and use-cases. Explain the onboarding process of NSX-T Data Center Federation Describe the NSX-T Data Center Federation switching and routing functions. Describe the NSX-T Data Center Federation security concepts.

Duration 4 Days 24 CPD hours This course is intended for This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.

This five-day programme empowers participants with the skills and knowledge to understand and effectively apply best practice commercial and contracting principles and techniques, ensuring better contractor performance and greater value add. This is an assessed programme, leading to the International Association for Contracts & Commercial Management (IACCM)'s coveted Contract and Commercial Management Practitioner (CCMP) qualification. By the end of this comprehensive programme the participants will be able to: Develop robust contracting plans, including scopes of work and award strategies Undertake early market engagements to maximise competition Conduct effective contracting and commercial management activities, including ITT, RFP, negotiated outcomes Understand the legalities of contract and commercial management Negotiate effectively with key stakeholders and clients, making use of the key skills of persuading and influencing to optimise outcomes Undertake effective Supplier Relationship Management Appreciate the implications of national and organisational culture on contracting and commercial activities Appreciate professional contract management standards Set up and maintain contract and commercial management governance systems Take a proactive, collaborative, and agile approach to managing commercial contracts Develop and monitor appropriate and robust KPIs and SLAs to manage the contractor and facilitate improved contractor performance Appreciate the cross-functional nature of contract management Collaborate with clients to deliver sustainable performance and to manage and exceed client expectations Understand the roles and responsibilities of contract and commercial managers Use effective contractor selection and award methods and models (including the 10Cs model) and use these models to prepare robust propositions to clients Make effective use of lessons learned to promote improvements from less than optimal outcomes, using appropriate templates Effectively manage the process of change, claims, variations, and dispute resolution Develop and present robust propositions Make appropriate use of best practice contract and commercial management tools, techniques, and templates DAY ONE 1 Introduction Aims Objectives KPIs Learning strategies Plan for the programme 2 The contracting context Key objectives of contract management Importance and impact on the business 3 Critical success factors Essential features of professional commercial and contract management and administration The 6-step model 4 Putting the 'management' into commercial and contract management Traditional v 'new age' models The need for a commercial approach The added value generated 5 Definitions 'Commercial management' 'Contract management' 'Contracting' ... and why have formal contracts? 6 Stakeholders Stakeholder mapping and analysis The 'shared vision' concept Engaging with key functions, eg, HSE, finance, operations 7 Roles and responsibilities Contract administrators Stakeholders 8 Strategy and planning Developing effective contracting plans and strategies DAY TWO 1 Contract control Tools and techniques, including CPA and Gantt charts A project management approach Developing effective contract programmes 2 The contracting context Key objectives of contract management Importance and impact on the business 3 Tendering Overview of the contracting cycle Requirement to tender Methods Rationale Exceptions Steps Gateways Controls One and two package bids 4 Tender assessment and contract award I - framework Tender board procedures Role of the tender board (including minor and major tender boards) Membership Administration Developing robust contract award strategies and presentations DAY THREE 1 Tender assessment and contract award II - processes Pre-qualification processes CRS Vendor registration rules and processes Creating bidder lists Disqualification criteria Short-listing Using the 10Cs model Contract award and contract execution processes 2 Minor works orders Process Need for competition Role and purpose Controls Risks 3 Contract strategy Types of contract Call-offs Framework agreements Price agreements Supply agreements 4 Contract terms I: Pricing structures Lump sum Unit price Cost plus Time and materials Alternative methods Target cost Gain share contracts Advance payments Price escalation clauses 5 Contract terms II: Other financial clauses Insurance Currencies Parent body guarantees Tender bonds Performance bonds Retentions Sub-contracting Termination Invoicing 6 Contract terms III: Risk and reward Incentive contracts Management and mitigation of contractual risk DAY FOUR 1 Contract terms IV: Jurisdiction and related matters Applicable laws and regulations Registration Commercial registry Commercial agencies 2 Managing the client-contractor relationship Types of relationship Driving forces Link between type of contract and style of relationships Motivation - use of incentives and remedies 3 Disputes Types of dispute Conflict resolution strategies Negotiation Mediation Arbitration DAY FIVE 1 Performance measurement KPIs Benchmarking Cost controls Validity of savings Balanced scorecards Using the KPI template 2 Personal qualities of the contract manager Negotiation Communication Persuasion and influencing Working in a matrix environment 3 Contract terms V: Drafting skills Drafting special terms 4 Variations Contract and works variation orders Causes of variations Risk management Controls Prevention Negotiation with contractors 5 Claims Claims management processes Controls Risk mitigation Schedules of rates 6 Close-out Contract close-out and acceptance / completion HSE Final payments Performance evaluation Capturing the learning 7 Close Review Final assessment Next steps