3031 Design courses in Radcliffe delivered Live Online

LTE training course description This course is designed to give the delegate an understanding of the technologies used within a 3G UMTS mobile network. During the course we will investigate the UMTS air interface and the use of Wideband-Code Division Multiple Access (WCDMA) to facilitate high speed data access, together with HSPA to offer mobile broadband services. We will describe the use of soft handover rather than hard handover procedures and soft capacity sharing. The course includes a brief exploration of the UMTS protocol stack and the use of PDP Context and QoS support features. What will you learn Explain the 3G UMTS architecture. Describe the role of a Drifting & Serving RNC. Explain the use of ARQ & HARQ for mobile broadband. Describe how IMS integrates into the architecture. Describe the use of Media Gateway Controllers. Identify the temporary identities used within 3G UMTS. LTE training course details Who will benefit: Anyone working within the telecommunications area, especially within the mobile environment. Prerequisites: Mobile communications demystified Telecommunications Introduction Duration 2 days LTE training course contents LTE Introduction The path to LTE, 3GPP. LTE to LTE advanced. LTE Architecture The core, Access, roaming. Protocols: User plane, Control plane. Example information flows. Bearer management. Spectrum allocation. LTE technologies Transmission, reception, OFDMA, multiple antenna, MIMO. LTE Air interface Air interface protocol stack. Channels, Resource Grid, cell acquisition. Up and downlink controls. Layer 2 protocols. Cell acquisition Power on, selecting networks and cells. RRC connection. Attach procedure. Mobility management Roaming, RRC_IDLE, RRC_CONNECTED, cell reselection, handover, interoperation with UMTS and GSM networks. Voice and text IMS, QoS, policy and charging.

Docker for engineers training course description Docker is the container platform of choice. This course covers how to use Docker to package your applications with all of their dependencies and then test, deploy, scale and support your containers. Hands on sessions follow all the major sessions. What will you learn Work with Docker images, containers and command line tools. Deploy and test Docker containers. Debug Docker containers. Describe Docker networking, deployment tools, orchestration and security. Docker for engineers training course details Who will benefit: Anyone working with Docker. Prerequisites: Introduction to virtualization. Duration 2 days Docker for engineers training course contents Introduction The birth of Docker, the promise of Docker, what Docker isn't. Docker at a glance Process simplification, broad support and adoption, architecture, getting the most from Docker, the Docker workflow. Installing Docker Important terminology, Docker client, Docker server, test the setup. Working with Docker images Anatomy of a Dockerfile, building an image, running your image, custom base images, storing images. Working with Docker containers What are containers? creating a container, starting a container, auto-restarting a container, stopping a container, killing a container, pausing and unpausing a container, cleaning up containers and images, next steps. Exploring Docker Printing the Docker version, server information, downloading image updates, inspecting a container, getting inside a running container, exploring the shell, returning a result, docker logs, monitoring Docker, exploration. The path to production containers Deploying, testing containers. Debugging containers Process output, process inspection, controlling processes, network inspection, image history, inspecting a container, filesystem inspection, moving along. Docker at scale Docker swarm, centurion, amazon EC2 container service. Advanced topics Pluggable backends, containers in detail, security, networking. Designing your production container platform The twelve-factor app, the reactive manifesto. Conclusion The challenges, the Docker workflow, minimizing deployment artifacts, optimizing storage and retrieval, the payoff, the final word.

Kubernetes for engineers training course description This course covers how Kubernetes addresses the challenges of distributed systems. Hands on sessions follow all the major theory chapters. What will you learn Explain what Kubernetes is and how it works. Create and run containers on Kubernetes using the Docker image format and container runtime. Kubernetes for engineers training course details Who will benefit: Anyone working with Docker or Kubernetes. Prerequisites: Definitive Docker for engineers. Duration 2 days Kubernetes for engineers training course contents Introduction Velocity, Scaling your service and your teams, Abstracting your infrastructure. Creating and running containers Container images, Building application images with Docker, Storing images in a remote registry, The Docker container runtime. Deploying a Kubernetes cluster Installing Kubernetes on a public cloud provider, Installing Kubernetes locally using minikube, Running Kubernetes on Raspberry Pi, The Kubernetes client, Cluster components. Common kubectl Commands Namespaces, Contexts, Viewing Kubernetes API objects, Creating, Updating, and Destroying Kubernetes objects, Labelling and annotating objects, Debugging commands. Pods Pods in Kubernetes, Thinking with pods, The pod manifest, Running pods, Accessing your pod, Health checks, Resource management, Persisting data with volumes, Putting It all together. Labels and Annotations Labels, Annotations. Service Discovery What Is Service discovery? The service object, Looking beyond the cluster, Cloud integration, Advanced details. ReplicaSets Reconciliation loops, Relating pods and ReplicaSets, Designing with ReplicaSets, ReplicaSet Spec, Creating a ReplicaSet, Inspecting a ReplicaSet, Scaling ReplicaSets, Deleting ReplicaSets. DaemonSets DaemonSet scheduler, Creating DaemonSets, Limiting DaemonSets to specific nodes, Updating a DaemonSet, Deleting a DaemonSet. Jobs The job object, Job patterns. ConfigMaps and secrets ConfigMaps, Secrets, Naming constraints, Managing ConfigMaps and secrets. Deployments Your first deployment, Creating deployments, Managing deployments, Updating deployments, Deployment strategies, Deleting a deployment. Integrating storage solutions and Kubernetes Importing external services, Running reliable singletons, Kubernetes-native storage with StatefulSets. Deploying real-world applications Parse, Ghost, Redis.

Total SIPp course description SIPp is a robust performance testing tool designed for evaluating the SIP protocol. This comprehensive course takes you on a journey from the initial installation of SIPp to mastering fundamental scenarios, exploring diverse architectures, delving into statistics analysis, and crafting XML scenario files. What will you learn Monitor SIP traffic with SIPp. Use SIPp for performance testing. Use the standard SIPp scenarios. Create custom scenarios in XML for SIPp. Total SIPp course details Who will benefit: Those working with SIP. Prerequisites: Definitive SIP for engineers Duration 2 days Total SIPp course contents Introduction What is SIPp? SIP review: UAC, UAS, INVITE, BYE. Sample SIP call flows. Hands on Wireshark, SIP call flow. Installing SIPp Getting SIPp, installing SIPp. Using SIPp Running sipp. sipp with uas scenario, sipp with uac scenario. The integrated scenarios. Online help. Hands on uac, uas. Controlling SIPp Hot keys, commands, UDP socket. Running SIPp in the background. Traffic control. SIPp performance testing. Hands on Changing call rates, remote control, pausing traffic. Monitoring SIP traffic Scenario screen, statistics. Response times, counters. Hands on Monitoring SIP traffic. More integrated scenarios SIPp and media and RTP. 3PCC. 3PCC extended. Transport modes: UDP, TCP, TLS, SCTP, IPv6 mono and multi socket. Hands on Third Party Call Control. XML What is XML? Content, markup, elements, attributes. Start tags, end tags. Hands on Displaying embedded scenarios, looking at the XML files of the integrated scenarios. Creating your own XML scenarios scenario, message commands, send, recv, nop, pause, sendCmd, recvCmd, common sipp scenario attributes, command specific sipp scenario attributes. XML DTD, jEdit. Hands on uac and uas scenario XML files. Recv actions Log and warning, exec, variables, variable types, variable scope. External variables. Hands on RTP streaming, Change a calls network destination, injection files. Regular expressions What is an RE. POSIX 1003.2. Re injection. Validation. Hands on regex example.

Oracle SQL Advanced training course description The Oracle SQL Advanced course is designed to give delegates practical experience in using some of the more advanced features of Oracle SQL. Additional datatypes and the use of advanced SQL functions and expressions are covered together with enhanced table handling features. What will you learn Retrieve data using correlated subqueries, in-line views and multi-column subqueries. Use the WITH Clause. Inserting and Updating Rows Using Complex Subqueries Create Hierarchical Queries. Use ROLLUP, CUBE and GROUPING SETS group by enhancements. Implement the GROUPING and GROUPING_ID functions. Manage large data sets. Insert data conditionally and unconditionally. Merge Rows in a Table. Create TIMESTAMP and INTERVAL Datatypes. Use TIMESTAMP, TIMEZONE and INTERVAL functions and literals. Use regular expressions and implement related functions. Manage objects with the data dictionary. Manage schema objects. Perform flashback operations. Create and using external tables. Control user access to database objects. Oracle SQL Advanced training course details Who will benefit: Anyone who needs to use the more advanced features of SQL to improve their productivity in querying and updating an Oracle database. Prerequisites: Delegates should have attended the Oracle SQL course or have a similar level of experience. Duration 2 days Oracle SQL Advanced training course contents Retrieve data using subqueries ANY, ALL or SOME operators, Correlated subqueries, In-Line views, The Exists operator, The WITH clause, Multi-Column subqueries, Insert and update using a query, Correlated update and delete. Hierarchical queries Hierarchical data, The START WITH and CONNECT BY clauses, The LEVEL pseudo-column, Sequencing the output, Eliminating nodes and branches. Enhanced grouping features Review of basic grouping concepts, The ROLLUP and CUBE extensions, The GROUPING SETS extension, Using the GROUPING and GROUPING_ID functions. Manage large data sets Multi-table Inserts, Conditional and unconditional Inserts, Merging data into a table, Table and view based merge, A sub query based merge. Flashback technology Flashback query, The AS clause, Flashback table, Flashback drop. Date, time and time zone support Date, Timestamp and Interval datatypes, Handling dates and times, Handling intervals, Date, timestamp and interval functions and literals, Related NLS parameters. Regular expression support Regular expression notation, Character matching, Repetition operators, Sub expression grouping, Regular expression functions. Manage objects with the Data Dictionary The Data Dictionary, Useful Data Dictionary tables, Using the Data Dictionary. Manage schema objects Column operations, Constraint operations, Creating and dropping Indexes, B-Tree indexes, Function based indexes, Descending indexes, Creating and using external tables. Access control System privileges and roles, Create users, Alter user details, Grant and revoke object privileges.

Duration 2 Days 12 CPD hours This course is intended for The primary audience for this course are persons who are new to reporting with Microsoft© SQL Server© Report Builder and SSRS, persons who are transitioning from another reporting software application, and persons who are existing Report Builder and SSRS report authors. The secondary audience for this course are persons who are using Report Designer (SSRS). Course participants may be business analysts, programmer analysts, data analysts, database administrators, or IT professionals and may or may not have experience with Microsoft© SQL Server© Report Builder and SSRS, programming (Visual Basic), and/or Transact-Structured Query Language (T-SQL) experience. Overview After completing this course, students will be able to: Create parameter reports. Create list reports. Format reports with complex expressions. Add images and subreports. Add drilldown and drillthrough functionality. Add sparklines, data bars, and indicators. In this course, students will continue their learning on the foundations of report writing with Microsoft© SQL Server© Report Builder and SSRS. The focus will be on report creation by connecting to a database and manipulating the data. 1 - Parameter Reports Parameterized Reporting Create Report Parameters Modify Report Parameters Provide Default Parameter Values Provide Available Values for Parameters Lab: Creating Parameterized Reports 2 - List Data Regions Introducing the List Data Region Create Reports Using List Data Regions Modify Reports Which Use List Data Regions Lab: Creating List Reports 3 - Enhancing Reports with Complex Expressions Formatting Reports Top N Reports Running Values Lab: Enhancing Reports with Complex Expressions 4 - Enhance Reports with Images and Subreports Add Images to Reports Retrieve Images from a Database Introducing SSRS (SQL Server Reporting Services) Report Server Add Subreports to Reports Lab: Working With Images and Subreports 5 - Drilldown and Drillthrough Reports Add and Configure Drilldown Reporting Add and Configure Drillthrough Reporting Lab: Add Drilldown and Drillthrough Functionality to Reports 6 - Sparklines, Data Bars, and Indicators Sparklines Data Bars Indicators Lab: Adding Sparklines, Data Bars, and Indicators to Reports Additional course details: Nexus Humans 55128 Writing Reports with Report Builder and SSRS Level 2 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 55128 Writing Reports with Report Builder and SSRS Level 2 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 To gain the most from attending this course you should possess the following incoming skills: Basic knowledge of programming concepts and syntax in Python. Familiarity with common data formats such as CSV, JSON, and XML. Experience using command-line interfaces and basic text editing tools. Understanding of basic machine learning concepts and algorithms. Overview Working in an interactive learning environment, led by our engaging expert, you will: Gain a solid understanding of prompt engineering concepts and their applications in software development and AI-driven solutions. Master the techniques for preprocessing and cleaning text data to ensure high-quality inputs for AI models like GPT-4. Develop expertise in GPT-4 tokenization, input formatting, and controlling model behavior for various tasks and requirements. Acquire the ability to design, optimize, and test prompts effectively, catering to diverse business applications and use cases. Learn advanced prompt engineering techniques, such as conditional text generation and multi-turn conversations, to create more sophisticated AI solutions. Practice creating prompts to generate, run, and test code in a chosen programming language using GPT-4 and OpenAI Codex. Understand the ethical implications and best practices in responsible AI deployment, ensuring fair and unbiased AI applications in software development. Prompt Engineering offers coders and software developers a competitive edge by empowering them to develop more effective and efficient AI-driven solutions in their projects. By harnessing the capabilities of cutting-edge AI models like GPT-4, coders can automate repetitive tasks, enhance natural language understanding, and even generate code suggestions, boosting productivity and creativity. In addition, mastering prompt engineering can contribute to improved job security, as professionals with these in-demand skills are highly sought after in the rapidly evolving tech landscape. Quick Start to Prompt Engineering for Coders and Software Developers is a one day course designed to get you quickly up and running with the prompting skills required to out AI to work for you in your development efforts. Guided by our AI expert, you?ll explore key topics such as text preprocessing, data cleansing, GPT-4 tokenization, input formatting, prompt design, and optimization, as well as ethical considerations in prompt engineering. In the hands-on labs you?ll explore tasks such as formatting inputs for GPT-4, designing and optimizing prompts for business applications, and implementing multi-turn conversations with AI. You?ll work with innovative tools like the OpenAI API, OpenAI Codex, and OpenAI Playground, enhancing your learning experience while preparing you for integrating prompt engineering into your professional toolkit. By the end of this immersive course, you?ll have the skills necessary to effectively use prompt engineering in your software development projects. You'll be able to design, optimize, and test prompts for various business tasks, integrate GPT-4 with other software platforms, and address ethical concerns in AI deployment. Introduction to Prompt Engineering Overview of prompt engineering and its importance in AI applications Major applications of prompt engineering in business Common challenges faced in prompt engineering Overview of GPT-4 and its role in prompt engineering Key terminology and concepts in prompt engineering Getting Things Ready: Text Preprocessing and Data Cleansing Importance of data preprocessing in prompt engineering Techniques for text cleaning and normalization Tokenization and n-grams Stop word removal and stemming Regular expressions and pattern matching GPT-4 Tokenization and Input Formatting GPT-4 tokenization and its role in prompt engineering Understanding and formatting GPT-4 inputs Context windows and token limits Controlling response length and quality Techniques for handling out-of-vocabulary tokens Prompt Design and Optimization Master the skills to design, optimize, and test prompts for various business tasks. Designing effective prompts for different tasks Techniques for prompt optimization GPT-4 system and user parameters for controlling behavior Importance of prompt testing and iteration Best practices for prompt engineering in business applications Advanced Techniques and Tools in Prompt Engineering Learn advanced techniques and tools for prompt engineering and their integration in business applications. Conditional text generation with GPT-4 Techniques for handling multi-turn conversations Overview of tools for prompt engineering: OpenAI API, OpenAI Codex, and OpenAI Playground Integration of GPT-4 with other software platforms and tools Monitoring and maintaining prompt performance Code Generation and Testing with Prompt Engineering Develop the skills to generate, integrate, and test AI-generated code effectively, enhancing productivity and creativity in software development projects. Introduction to code generation with AI models like GPT-4 Designing prompts for code generation across programming languages Techniques for specifying requirements and constraints in prompts Generating and interpreting code snippets using AI-driven solutions Integrating generated code into existing projects and codebases Best practices for testing and validating AI-generated code Ethics and Responsible AI Understand the ethical implications of prompt engineering and the importance of responsible AI deployment in business. Ethical considerations in prompt engineering Bias in AI systems and its impact on prompt engineering Techniques to minimize bias and ensure fairness Best practices for responsible AI deployment in business applications Monitoring and addressing ethical concerns in prompt engineering

ITIL® 4 Specialist: Drive Stakeholder Value: Virtual In-House Training The ITIL® 4 Specialist: Drive Stakeholder Value module is part of the Managing Professional stream for ITIL 4. Candidates need to pass the related certification exam for working towards the Managing Professional (MP) designation. This course is based on the ITIL® 4 Specialist: Drive Stakeholder Value exam specifications from AXELOS. With the help of ITIL® 4 concepts and terminology, exercises, and examples included in the course, candidates acquire the relevant knowledge required to pass the certification exam. What You Will Learn The learning objectives of the course are based on the following learning outcomes of the ITIL® 4 Specialist: Drive Stakeholder Value exam specification: Understand how customer journeys are designed Know how to target markets and stakeholders Know how to foster stakeholder relationships Know how to shape demand and define service offerings Know how to align expectations and agree on details of services Know how to onboard and offboard customers and users Know how to act together to ensure continual value co-creation (service consumption / provisioning) Know how to realize and validate service value Customer Journey Purpose of the Module Purpose of Mastering the Customer Journey Touchpoints and Service Interactions Module Topics Mapping the Customer Journey Designing the Customer Journey Measuring and Improving the Customer Journey Customer Journey Step 1: Explore Purpose of the Module Purpose of the Explore Step Module Topics Understanding Service Consumers Understanding Service Providers Understanding and Targeting Markets Customer Journey Step 2: Engage Purpose of the Module Purpose of the Engage Step Aspects of Service Value Module Topics Service Relationship Types Building Service Relationships Building and Sustaining Trust and Relationships Analyzing Customer Needs Managing Suppliers and Partners Customer Journey Step 3: Offer Purpose of the Module Purpose of Shaping Demand and Service Offerings Module Topics Managing Demand and Opportunities Specifying and Managing Customer Requirements Designing Service Offerings and User Experience Selling and Obtaining Service Offerings Customer Journey Step 4: Agree Purpose of the Module Purpose of Aligning Expectations and Agreeing on Services Module Topics Agreeing on and Planning Value Co-Creation Negotiating and Agreeing on a Service Customer Journey Step 5: Onboard Purpose of the Module Purpose of Onboarding and Offboarding ITIL® Management Practices Module Topics Planning Onboarding Fostering Relationships with Users Providing User Engagement and Delivery Channels Enabling Users for Service Elevating Mutual Capabilities Offboarding Customer Journey Step 6: Co-create Purpose of the Module Purpose of Service Provision and Consumption Module Topics Service Mindset Ongoing Service Interactions Nurturing User Communities Customer Journey Step 7: Realize Purpose of the Module Measuring Service Value Purpose of Value Capturing and Customer Journey Improvement Realizing Service Value in Different Settings Module Topics Tracking Value Realization Assessing and Reporting Value Realization Evaluating Value Realization and Improving Customer Journeys Realizing Value for the Service Provider

Historical Association webinar series: Coherence at Key Stage 4 Presenters: Cat Priggs This session focuses on one way of achieving curricular coherence: fostering big pictures of the past. The work of multiple practitioners will be drawn upon to exemplify different ways in which this can be done, including how to use of narrative to foster coherent big pictures. The content from this session will support curriculum design for new specifications. To use your corporate recording offer on this webinar please fill in this form: https://forms.office.com/e/q9rG5Hiynr Springfield Interchange (Photo by Trevor Wrayton, VDOT)

Duration 5 Days 30 CPD hours This course is intended for Anyone who plans to work with Kubernetes at any level or tier of involvement Any company or individual who wants to advance their knowledge of the cloud environment Application Developers Operations Developers IT Directors/Managers Overview All topics required by the CKAD exam, including: Deploy applications to a Kubernetes cluster Pods, ReplicaSets, Deployments, DaemonSets Self-healing and observable applications Multi-container Pod Design Application configuration via Configmaps, Secrets Administrate cluster use for your team A systematic understanding of Kubernetes architecture Troubleshooting and debugging tools Kubernetes networking and services Kubernetes is a Cloud Orchestration Platform providing reliability, replication, and stability while maximizing resource utilization for applications and services. By the conclusion of this hands-on training, you will go back to work with all necessary commands and practical skills to empower your team to succeed, as well as gain knowledge of important concepts like Kubernetes architecture and container orchestration. We prioritize covering all objectives and concepts necessary for passing the Certified Kubernetes Application Developer (CKAD) exam. You will command and configure a high availability Kubernetes environment (and later, build your own!) capable of demonstrating all ?K8s'' features discussed and demonstrated in this course. Your week of intensive, hands-on training will conclude with a mock CKAD exam that matches the real thing. Kubernetes Architecture Components Understand API deprecations Containers Define, build and modify container images Pods Master Services Node Services K8s Services YAML Essentials Creating a K8s Cluster kubectl Commands Kubernetes Resources Kubernetes Namespace Kubernetes Contexts Pods What is a Pod? Create, List, Delete Pods How to Access Running Pods Kubernetes Resources Managing Cloud Resource Consumption Multi-Container Pod Design Security Contexts Init Containers Understand multi-container Pod design patterns (e.g. sidecar, init and others) Pod Wellness Tracking Networking Packet Forwarding ClusterIP and NodePort Services Provide and troubleshoot access to applications via services Ingress Controllers Use Ingress rules to expose applications NetworkPolicy resource Demonstrate basic understanding of NetworkPolicies Network Plugins Defining the Service Mesh Service mesh configuration examples ReplicaSets Services ReplicaSet Function Deploying ReplicaSets Deployments Deployment Object Updating/Rolling Back Deployments Understand Deployments and how to perform rolling updates Deployment Strategies Use Kubernetes primitives to implement common deployment strategies (e.g. blue/green or canary) Scaling ReplicaSets Autoscaling Labels and Annotations Labels Annotations Node Taints and Tolerations Jobs The K8s Job and CronJob Understand Jobs and CronJobs Immediate vs. scheduled internal use Application Configuration Understanding and defining resource requirements, limits and quotas Config Maps Create & consume Secrets Patching Custom Resource Definition Discover and use resources that extend Kubernetes (CRD) Managing ConfigMaps and Secrets as Volumes Storage Static and dynamic persistent volumes via StorageClass K8s volume configuration Utilize persistent and ephemeral volumes Adding persistent storage to containers via persistent volume claims Introduction to Helm Helm Introduction Charts Use the Helm package manager to deploy existing packages Application Security Understand authentication, authorization and admission control Understand ServiceAccounts Understand SecurityContexts Application Observability and Maintenance Use provided tools to monitor Kubernetes applications How to Troubleshoot Kubernetes Basic and Advanced Logging Techniques Utilize container logs Accessing containers with Port-Forward Debugging in Kubernetes Hands on Labs: Define, build and modify container images Deploy Kubernetes using Ansible Isolating Resources with Kubernetes Namespaces Cluster Access with Kubernetes Context Listing Resources with kubectl get Examining Resources with kubectl describe Create and Configure Basic Pods Debugging via kubectl port-forward Imperative vs. Declarative Resource Creation Performing Commands inside a Pod Understanding Labels and Selectors Insert an Annotation Create and Configure a ReplicaSet Writing a Deployment Manifest Perform rolling updates and rollbacks with Deployments Horizontal Scaling with kubectl scale Implement probes and health checks Understanding and defining resource requirements, limits and quotas Understand Jobs and CronJobs Best Practices for Container Customization Persistent Configuration with ConfigMaps Create and Consume Secrets Understand the Init container multi-container Pod design pattern Using PersistentVolumeClaims for Storage Dynamically Provision PersistentVolumes with NFS Deploy a NetworkPolicy Provide and troubleshoot access to applications via services Use Ingress rules to expose applications Understand the Sidecar multi-container Pod design pattern Setting up a single tier service mesh Tainted Nodes and Tolerations Use the Helm package manager to deploy existing packages A Completed Project Install Jenkins Using Helm and Run a Demo Job Custom Resource Definitions (CRDs) Patching Understanding Security Contexts for Cluster Access Control Utilize container logs Advanced Logging Techniques Troubleshooting Calicoctl Deploy a Kubernetes Cluster using Kubeadm Monitoring Applications in Kubernetes Resource-Based Autoscaling Create ServiceAccounts for use with the Kubernetes Dashboard Saving Your Progress With GitHub CKAD Practice Drill Alta Kubernetes Course Specific Updates Sourcing Secrets from HashiCorp Vault Example CKAD Test Questions