3179 Design courses in Dunfermline delivered Live Online

Agile Sprint Planning: Virtual In-House Training The goal of the course is to provide you and your team with the ability to develop effective and realistic Sprint plans. Without effective Sprint Plans, iterations are set up for failure. But Sprint Planning cannot be improved on its own, in isolation. The Scrum processes are highly intertwined and influence each other. The surrounding artifacts, events, and roles must be examined closely, and enhanced, in order to improve Sprint Planning. This course will remind you of the theory to reinforce the principles, but will concentrate on next-level skills, so that you and the team are able to create realistic and usable Sprint Plans. This course is not introductory. You are already aware of the Scrum framework and have been implementing Scrum on your projects. Now is the time to improve efficiency and effectiveness, to facilitate successful Agile projects. What you will Learn You'll learn how to: Identify and correlate the key symptoms and root causes of ineffective sprint plans Improve key Product Backlog elements Evaluate Agile roles in sprint planning Appraise key product practices Enhance project transparency The Product Backlog User stories Acceptance Criteria Backlog Refinement Supporting Roles Product Owner (the Backlog) Development Team Stakeholders and SMEs Supporting Product Practices Roadmaps and release plans and story maps Definition of Done Technical Debt Transparency Daily Scrums Information radiators Retrospectives Sprint Planning Capacity and Velocity Sprint Planning Meetings The Sprint Backlog Summary What did we learn, and how can we implement this in our work environments?

Duration 4 Days 24 CPD hours This course is intended for This is an intermediate-level programming course, designed for experienced .Net developers who wish to get up and running on developing well defended software applications. Real world programming experience with .Net is required. Overview Students who attend Attacking and Securing .Net Web Applications will leave the course armed with the skills required to recognize actual and potential software vulnerabilities and implement defenses for those vulnerabilities. This course begins by developing the skills required to fingerprint a web application and then scan it for vulnerabilities and bugs. Practical labs using current tools and techniques provide students with the experience needed to begin testing their own applications. Students also gain a deeper understanding of how attackers probe applications to understand the runtime environment as well as find potential weaknesses. This course the introduces developers to the most common security vulnerabilities faced by web applications today. Each vulnerability is examined from a .Net perspective through a process of describing the threat and attack mechanisms, recognizing associated vulnerabilities, and, finally, designing, implementing effective defenses. Practical labs reinforce these concepts with real vulnerabilities and attacks. Students are then challenged to design and implement the layered defenses they will need in defending their own applications. There is an emphasis on the underlying vulnerability patterns since the technologies, use cases, and methods of attack as constantly changing. The patterns remain the same through all the change and flux. This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in secure web application development, coding and design, coupling the most current, effective techniques with the soundest industry practices. Our instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. This lab-intensive course provides hands-on .Net security training that offers a unique look at .Net application security. Beginning with penetration testing and hunting for bugs in .Net web applications, you thoroughly examine best practices for defensively coding web applications, covering all the OWASP Top Ten as well as several additional prominent vulnerabilities. You will repeatedly attack and then defend various assets associated with fully functional web applications and services, driving home the mechanics of how to secure .Net web applications in the most practical of terms. Bug Hunting Foundation Why Hunt Bugs? Safe and Appropriate Bug Hunting/Hacking Scanning Web Applications Scanning Applications Overview Moving Forward from Hunting Bugs Removing Bugs Foundation for Securing Applications Principles of Information Security Bug Stomping 101 Unvalidated Data Injection Broken Authentication Sensitive Data Exposure XML External Entities (XXE) Broken Access Control Bug Stomping 102 Security Misconfiguration Cross Site Scripting (XSS) Deserialization/Vulnerable Components Insufficient Logging and Monitoring Spoofing, CSRF, and Redirects Moving Forward with Application Security Applications: What Next? .NET Issues and Best Practices Making Application Security Real Time Permitting Topics Cryptography Overview .NET Cryptographic Services

Duration 4 Days 24 CPD hours This course is intended for This is an intermediate -level programming course, designed for experienced Java developers who wish to get up and running on developing well defended software applications. Familiarity with Java and JEE is required and real world programming experience is highly recommended. Ideally students should have approximately 6 months to a year of Java and JEE working knowledge. Overview Students who attend Attacking and Securing Java Web Applications will leave the course armed with the skills required to recognize actual and potential software vulnerabilities and implement defenses for those vulnerabilities. This course begins by developing the skills required to fingerprint a web application and then scan it for vulnerabilities and bugs. Practical labs using current tools and techniques provide students with the experience needed to begin testing their own applications. Students also gain a deeper understanding of how attackers probe applications to understand the runtime environment as well as find potential weaknesses. This course the introduces developers to the most common security vulnerabilities faced by web applications today. Each vulnerability is examined from a Java/JEE perspective through a process of describing the threat and attack mechanisms, recognizing associated vulnerabilities, and, finally, designing, implementing, and testing effective defenses. Practical labs reinforce these concepts with real vulnerabilities and attacks. Students are then challenged to design and implement the layered defenses they will need in defending their own applications. There is an emphasis on the underlying vulnerability patterns since the technologies, use cases, and methods of attack as constantly changing. The patterns remain the same through all the change and flux. This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in secure web application development, coding and design, coupling the most current, effective techniques with the soundest industry practices. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. This lab-intensive course provides hands-on Java / JEE security training that offers a unique look at Java application security. Beginning with penetration testing and hunting for bugs in Java web applications, you embrace best practices for defensively coding web applications, covering all the OWASP Top Ten as well as several additional prominent vulnerabilities. You will repeatedly attack and then defend various assets associated with fully functional web applications and services, allowing you to experience the mechanics of how to secure JEE web applications in the most practical of terms. Bug Hunting Foundation Why Hunt Bugs? Safe and Appropriate Bug Hunting/Hacking Scanning Web Applications Scanning Applications Overview Moving Forward from Hunting Bugs Removing Bugs Foundation for Securing Applications Principles of Information Security Bug Stomping 101 Unvalidated Data Broken Authentication Sensitive Data Exposure XML External Entities (XXE) Broken Access Control Bug Stomping 102 Security Misconfiguration Cross Site Scripting (XSS) Deserialization/Vulnerable Components Insufficient Logging and Monitoring Spoofing, CSRF, and Redirects Moving Forward with Application Security Applications: What Next? Making Application Security Real

Duration 5 Days 30 CPD hours This course is intended for This course is designed for network and software engineers interested in automation and programmability and who hold job roles such as: Account manager Consulting systems engineer Network administrator Network engineer Network manager Sales engineer Systems engineer Technical solutions architect Wireless design engineer Wireless engineer Overview This course will help you: Gain the high-demand knowledge and skills to implement automation, streamline container orchestration, and enhance scalability Learn the skills to maximize the lightweight design of containers to scale more quickly and allow more responsiveness to website traffic load Prepare for the 300-910 DEVOPS exam What to expect in the exam The 300-910 DEVOPS exam certifies your knowledge and skills with DevOps. Key DevOps practices include deployment automation that enables configuration, management, and scalability of cloud microservices and infrastructure processes on Cisco platforms. This course teaches you how to automate application deployment, enable automated configuration, enhance management, and improve scalability of cloud microservices and infrastructure processes on Cisco© platforms. You will also learn how to integrate Docker and Kubernetes to create advanced capabilities and flexibility in application deployment. This course prepares you for the 300-910 Implementing DevOps Solutions and Practices Using Cisco Platforms (DEVOPS) certification exam. Course Outlines ITRODUCING THE DEVOPS MODEL INTRODUCING CONTAINERS PACKAGING AN APPLICATION USING DOCKER DEPLOYING A MULTITIER APPLICATION INTRODUCING CI/CD BUILDING THE DEVOPS FLOW VALIDATING THE APPLICATION BUILD PROCESS BUILDING AN IMPROVED DEPLOYMENT FLOW EXTENDING DEVOPS PRACTICES TO THE ENTIRE INFRASTRUCTURE IMPLEMENTING ON-DEMAND TEST ENVIRONMENTS AT THE INFRASTRUCTURE LEVEL MONITORING IN NETDEVOPS ENGINEERING FOR VISIBILITY AND STABILITY SECURING DEVOPS WORKFLOWS EXPLORING MULTICLOUD STRATEGIES EXAMINING APPLICATION AND DEPLOYMENT ARCHITECTURES DESCRIBING KUBERNETES INTEGRATING MULTIPLE DATA CENTER DEPLOYMENTS WITH KUBERNETES MONITORING AND LOGGING IN KUBERNETES Additional course details: Nexus Humans Cisco Implementing DevOps Solutions and Practices Using Cisco Platforms (DevOps) 1.0 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 Cisco Implementing DevOps Solutions and Practices Using Cisco Platforms (DevOps) 1.0 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 1 Days 6 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who receive Tableau data visualizations from data analysts or from data visualization engineers. These data report recipients want to take advantage of the many Tableau features and capabilities that enable them to explore the data behind the initial analysis, perform additional analysis to ask next-level questions of the data, and to customize visualizations and dashboards to share new insights and create compelling reports. Overview Explore Tableau reports. Analyze data to get answers and insights. Sort and group data for analysis and reporting. Filter views. Prepare reports. Troubleshoot, collaborate, and share views and analysis As data acquisition, access, analysis, and reporting are interwoven with our businesses and lives, more and more data is collected about business and personal activities. This abundance of data and the computing power to analyze it has increased the use of data analysis and data visualization across a broad range of job roles. Decision makers of all types, including managers and executives, must interact with, interpret, and develop reports based on data and analysis provided to them. Tableau© software is designed for data analysis and the creation of visualizations. Data analysts prepare data, perform initial analysis, and create visualizations that are then passed on to business data-driven decision makers. These decision makers can use Tableau's tools to explore the data, perform further analysis to find new insights, make decisions, and create customized reports to share their findings. Prerequisites To ensure your success in this course, you should have experience managing data with Microsoft© Excel© or Google Sheets? Lesson 1: Exploring Tableau Reports Topic A: Data Analysis Workflow with Tableau Topic B: Explore Views Topic C: Edit Workbooks Lesson 2: Analyzing Data to Get Answers and Insights Topic A: Configure Marks with the Marks Card Topic B: Ask New Questions by Changing Aggregation Topic C: Find Answers with Calculations Topic D: Answer Questions with Table Calculations Lesson 3: Sorting and Grouping Data for Analysis and Reporting Topic A: Sort Data Topic B: Group Data Lesson 4: Filtering Views Topic A: Filter Data to Refine Analysis Topic B: Create Interactive Filters for Reports Lesson 5: Preparing Reports Topic A: Format and Annotate Views to Tell Your Story Topic B: Emphasize Data in Reports Topic C: Animate Visualizations for Clarity Lesson 6: Troubleshooting, Sharing, and Collaborating Topic A: Troubleshoot Data Issues Topic B: Collaborate in Tableau Online Topic C: Collaborate with Non-Tableau Users

Duration 5 Days 30 CPD hours This course is intended for Entry- to mid-level network engineers Network administrators Network support technicians Help desk technicians Overview After taking this training, you should be able to: Illustrate the hierarchical network design model and architecture using the access, distribution, and core layers Compare and contrast the various hardware and software switching mechanisms and operation while defining the Ternary Content Addressable Memory (TCAM) and Content Addressable Memory (CAM) along with process switching, fast switching, and Cisco Express Forwarding concepts Troubleshoot Layer 2 connectivity using VLANs and trunking Implement redundant switched networks using Spanning Tree Protocol Troubleshoot link aggregation using Etherchannel Describe the features, metrics, and path selection concepts of Enhanced Interior Gateway Routing Protocol (EIGRP) Implement and optimize Open Shortest Path First (OSPF)v2 and OSPFv3, including adjacencies, packet types and areas, summarization, and route filtering for IPv4 and IPv6 Implement External Border Gateway Protocol (EBGP) interdomain routing, path selection, and single and dual-homed networking Implement network redundancy using protocols such as Hot Standby Routing Protocol (HSRP) and Virtual Router Redundancy Protocol (VRRP) Implement internet connectivity within Enterprise using static and dynamic Network Address Translation (NAT) Describe the virtualization technology of servers, switches, and the various network devices and components Implement overlay technologies such as Virtual Routing and Forwarding (VRF), Generic Routing Encapsulation (GRE), VPN, and Location Identifier Separation Protocol (LISP) Describe the components and concepts of wireless networking, including Radio Frequency (RF) and antenna characteristics, and define the specific wireless standards Describe the various wireless deployment models available, including autonomous Access Point (AP) deployments and cloud-based designs within the centralized Cisco Wireless LAN Controller (WLC) architecture Describe wireless roaming and location services The Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR) v1.3 training gives you the knowledge and skills needed to install, configure, operate, and troubleshoot an enterprise network and introduces you to overlay network design by using SD-Access and SD-WAN solutions. You?ll also learn to understand and implement security principles and automation and programmability within an enterprise network. Course Outline Examining Cisco Enterprise Network Architecture Exploring Cisco Switching Paths Implementing Campus LAN Connectivity Building Redundant Switched Topology Implementing Layer 2 Port Aggregation Understanding EIGRP Implementing OSPF Optimizing OSPF Exploring EBGP Implementing Network Redundancy Implementing NAT Introducing Virtualization Protocols and Techniques Understanding Virtual Private Networks and Interfaces Understanding Wireless Principles Examining Wireless Deployment Options Understanding Wireless Roaming and Location Services Examining Wireless AP Operation Implementing Wireless Client Authentication Troubleshooting Wireless Client Connectivity Implementing Network Services Using Network Analysis Tools Implementing Infrastructure Security Implementing Secure Access Control Discovering the Basics of Python Programming Discovering Network Programmability Protocols Implementing Layer 2 Port Aggregation Discovering Multicast Protocols Understanding QoS Exploring Enterprise Network Security Architecture Exploring Automation and Assurance Using Cisco DNA Center Examining the Cisco SD-Access Solution Understanding the Working Principles of the Cisco SD-WAN Solution

Duration 5 Days 30 CPD hours This course is intended for This course is intended for: Solutions Architects who are new to designing and building cloud architectures Data Center Architects who are migrating from on-premises environment to cloud architectures Other IT/cloud roles who want to understand how to design and build cloud architectures Overview In this course, you will learn how to: Make architectural decisions based on AWS architectural principles and best practices Use AWS services to make your infrastructure scalable, reliable, and highly available Use AWS Managed Services to enable greater flexibility and resiliency in an infrastructure Make an AWS-based infrastructure more efficient to increase performance and reduce costs Use the Well Architected Framework to improve architectures with AWS solutions This course covers all aspects of how to architect for the cloud over four-and-a-half-days. It covers topics from Architecting on AWS and Advanced Architecting on AWS to offer an immersive course in cloud architecture. You will learn how to design cloud architectures, starting small and working to large-scale enterprise level designs-and everything in between. Starting with the Well-Architected Framework, you will learn important architecting information for AWS services including: compute, storage, database, networking, security, monitoring, automation, optimization, benefits of de-coupling applications and serverless, building for resilience, and understanding costs Module 1: Introduction The real story of AWS Well-Architected Framework Six advantages of the cloud Global infrastructure Module 2: The Simplest Architectures S3 Glacier Choosing your regions Hands-on lab: Static Website Module 3: Adding a Compute Layer EC2 Storage solutions for instances Purchasing options such as dedicated host vs instances Module 4: Adding a Database Layer Relational vs non-relational Managed databases RDS Dynamo DB Neptune Hands-on lab: Deploying a web application on AWS Module 5: Networking in AWS Part 1 VPC CIDR and subnets Public vs private subnets NAT and internet gateway Security groups Module 6: Networking in AWS Part 2 Virtual Private Gateway VPN Direct Connect VPC peering Transit Gateway VPC Endpoints Elastic Load Balancer Route 53 Hands-on lab: Creating a VPC Module 7: AWS Identity and Access Management (IAM) IAM Identity federation Cognito Module 8: Organizations Organizations Multiple account management Tagging strategies Module 9: Elasticity, High Availability, and Monitoring Elasticity vs inelasticity Monitoring with CloudWatch, CloudTrail, and VPC Flow Logs Auto scaling Scaling databases Hands-on lab: Creating a highly available environment Module 10: Automation Why automate? CloudFormation AWS Quick Starts AWS Systems Manager AWS OpsWorks AWS Elastic Beanstalk Module 11: Deployment Methods Why use a deployment method? Blue green and canary deployment Tools to implement your deployment methods CI/CD Hands-on lab: Automating infrastructure deployment Module 12: Caching When and why you should cache your data Cloudfront Elasticache (Redis/Memcached) DynamoDB Accelerator Module 13: Security of Your Data Shared responsibility model Data classification Encryption Automatic data security Module 14: Building Decoupled Architecture Tight coupling vs loose coupling SQS SNS Module 15: Optimizations and Review Review questions Best practices Activity: Design and architecture - two trues and one lie Module 16: Microservices What is a microservice? Containers ECS Fargate EKS Module 17: Serverless Why use serverless? Lambda API Gateway AWS Step Functions Hands-on lab: Implementing a serverless architecture with AWS Managed Services Module 18: Building for Resilience Using managed services greatly increases resiliency Serverless for resiliency Issues with microservices to be aware of DDoS Hands-on lab: Amazon CloudFront content delivery and automating WAF rules Module 19: Networking in AWS Part 3 Elastic Network Adapter Maximum transmission units Global Accelerator Site to site VPN Transit Gateway Module 20: Understanding Costs Simple monthly calculator Right sizing your instances Price sensitive architecture examples Module 21: Migration Strategies Cloud migration strategies Planning Migrating Optimizing Hands-on lab: Application deployment using AWS Fargate Module 22: RTO/RPO and Backup Recovery Setup Disaster planning Recovery options Module 23: Final Review Architecting advice Service use case questions Example test questions Additional course details: Nexus Humans Architecting on AWS - Accelerator 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 on AWS - Accelerator 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 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.

Duration 2 Days 12 CPD hours This course is intended for Participants who have actual experience in the data centre and/or IT infrastructures are best suited. Attendance of the CDCP© course is recommended but not a requirement. Overview After completion of the course the participant will be able to: 1. Develop and review their data centre strategy 2. Use different risk assessment methodologies together with practical tips specifically for data centre migrations to reduce the risk during a data centre migration 3. Understand different migration strategies 4. Understand the legal aspects when migrating a data centre 5. Understand the importance of Business Service Reviews and Service Level Objectives 6. Size and design the target data centre 7. Understand the importance of detailed discovery and how dependencies influence migration waves 8. Understand the safety requirements during migration 19. Get lots of practical tips when moving to another data centre This course is designed to expose participants to a step-by-step methodology which will enable them to reduce the risks involved when undertaking a data centre migration. It will also give participants a lot of valuable practical hints and tips by trainers having extensive experience in moving and consolidating mission critical data centre. Data Centre Strategy Data centre lifecycle Reasons to migrate a data centre Alternatives to data centre migration Consolidation Outsourcing Cloud computing Upgrade existing data centre or build new Project Management Project management and methods Scope statement Statement Of Work (SOW) Work Breakdown Structure (WBS) Allocate time to the project Cost and estimation methodology Project communication Risk Management Risk management and methods Risk identification Risk assessment methodologies Qualitative approach Semi-quantitative approach Quantitative approach Risk evaluation Risk treatment Risk in data centre migrations Migration Strategies Different data centre migration strategies Heterogeneous migration Homogeneous migration Physical migration Different IT transformations Pre-migration transformation Migration transformation Post-migration transformation Legal Aspects Regulatory requirements Contractual considerations Legal aspects when decommissioning High Level Discovery & Planning The importance of Business Service Reviews The concept of Availability The concept of Recoverability The importance of Service Level Objectives Requirements on designing the target IT architecture Information needed for high level planning Design Target Data Centre Requirements for the target data centre Sizing the data centre Architectural requirements Cooling requirements Power requirements Security Detailed Discovery and Planning The importance of discovery Automated discovery tools Asset management Network and system dependencies Detailed migration planning Migration waves Staffing Warranties and insurance Safety Safety precautions Technical safety review Electrical safety Lifting Personal safety during migration Fire safety during migration Security Controversy between access and security Access control Managing security during migration Security during migration Key management Practical hints and tips Continuous improvement Implementation Rehearsal Route investigation Resourcing Logistics team Packing Transport Installing the equipment Post migration support End of Project Why project closure Lessons learned Phased completion of project Criteria for project closure The outcome of the project End of project Exam: Certified Data Centre Migration Specialist Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Introducing Therapy for Repressed Emotions Package: Unlocking Emotional Freedom and Healing Are you struggling with repressed emotions, finding it difficult to express and process your feelings from the past? Miss Date Doctor’s Therapy for Repressed Emotions Package offers you compassionate support and guidance to unlock emotional freedom, heal past wounds, and embrace a healthier emotional state. Repressed emotions are feelings that have been pushed aside or buried due to various reasons, leading to unresolved emotional baggage. Our experienced therapists are dedicated to helping you navigate through these suppressed emotions, fostering emotional release, and promoting healing. Here’s how the Therapy for Repressed Emotions Package can support you: Understanding Repressed Emotions: Our therapists will help you understand the nature of repressed emotions and how they impact your current emotional well-being. Creating a Safe Space: We offer a safe and non-judgmental environment where you can freely explore and express your suppressed emotions. Emotional Release: Therapy will focus on facilitating emotional release, allowing you to process and express feelings that have been held back. Healing Past Wounds: We’ll work on addressing and healing the unresolved emotional wounds from the past. Coping Strategies: Our therapists will equip you with healthy coping strategies to manage overwhelming emotions as they arise. Self-Compassion and Acceptance: Therapy encourages self-compassion and self-acceptance as you navigate through your emotional journey. Building Emotional Resilience: We’ll focus on developing emotional resilience to face and process emotions in a healthy way. Mindfulness Practices: Therapy for repressed emotions may incorporate mindfulness techniques to cultivate present-moment awareness. The Therapy for Repressed Emotions Package at Miss Date Doctor is designed to empower you to release the emotional burden of the past and find emotional freedom. Our compassionate therapists provide gentle guidance and support to help you navigate through your emotional journey. Invest in your emotional well-being and take the first step towards unlocking emotional freedom with the Therapy for Repressed Emotions Package. Embrace the opportunity to heal past wounds, express your feelings, and foster a healthier emotional state. Let our experienced therapists guide you towards emotional release, healing, and a brighter emotional future. 8 SESSIONS X 1 HOUR https://relationshipsmdd.com/product/therapy-for-repressed-emotions-package/