3441 Design courses in Whetstone delivered Live Online

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

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

To provide a fundamental understanding of building services in the context of: The working environment The success of the core business The health and safety of the occupants Operating cost and environmental impact The optimisation of cost and value Strategies for continuous improvement DAY ONE 1 Building services fundamentals The function of services in commercial buildings and their importance to the core businessElectrical servicesLightingHeatingVentilation and air conditioningLiftsWater Understanding IT and communication systems Practical exercises 2 The provision of comfort and safety Statutory requirementsHealth and safety legislationControl of contractorsRisk assessmentFire precautionsLegionella, sick building and other risks Business requirementsUnderstanding user requirementsMatching systems to business needs Practical exercises 3 Getting the design right What the FM needs to know about design and its procurementSuccessful space planningRelationship between services, space planning and designGetting the brief rightSupplier selection and management Practical exercises DAY TWO 4 Operation and maintenance Why maintain?Maintenance contractsInput and output specificationsResource optionsContracts - principal elementsTendering - key stepsSelection criteriaOperational criteriaMaintenance trends Performance-based service provisionInput and output specificationsKPIs and thresholdsRisk containmentValue-add opportunitiesPerformance contract strategy Practical exercises 5 Contingency planning Being ready for the unexpected Identifying and reducing riskInternal risksExternal risksIdentifying threats at your site Managing riskProtective systemsOccupier obligationsFire managementTesting Practical exercises 6 Commissioning services systems Physical commissioning Common problems Typical costs Commissioning stages Continuous commissioning Energy efficiency and the scope for environmental improvement Practical exercises 7 Satisfying the occupants Obtaining and responding to feedbackWhen to get feedbackWhyHowWhat to do with it Practical exercises 8 'Air time' Sharing experience and addressing specific issues of interest to participants Course review Close

Designed as a follow-on to The Practical Manager, this course will take your managers to the next level. Give them the skills to develop high performing teams through the application of tailored motivation strategies, effective performance appraisal and razor-sharp decision-making.

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This highly interactive program focuses on building the business focus on value to be achieved from initiatives. The practices in this program apply equally to projects and programs. Participants will gain insight into the capabilities needed to develop the culture, processes, and tools behind validation, what true initiatives' success looks like, which can be closely linked to achieving value. They will learn and experiment with a variety of value definition and management techniques. Working in small groups, they will collaborate with others to brainstorm, share experiences, and apply concepts to the ongoing value confirmation goal. Participants will also discover the importance of designing metrics around value and addressing blind spots that could happen when the focus is on the wrong metrics and how that could lead to the wrong behaviors being practiced. Participants will also gain insights into key skills for leading and working in the future. Hands-on experimentation activities enhance the theoretical learning, grounding it in real life and giving opportunities to practice creativity in capturing value.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create data-driven applications. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution. Python© continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Lesson 1: Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Lesson 2: Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Lesson 3: Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Lesson 4: Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Lesson 5: Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Lesson 6: Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Lesson 7: Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Lesson 8: Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create data-driven applications. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution. Python continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Lesson 1: Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Lesson 2: Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Lesson 3: Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Lesson 4: Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Lesson 5: Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Lesson 6: Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Lesson 7: Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Lesson 8: Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files

At HFX Training, we are passionate about business simulations because they bring learning to life through hands-on experience. This Level 1 Certification Program is the first step in our Instructor Training Certification Pathway, equipping you to confidently use the Healthcare Hero simulation in your teaching environment. In this program, you will experience the simulation as a student, navigating its complexities and dynamics. Upon successfully completing Level 1, you’ll be ready to advance to Level 2 Training, where you will deepen your expertise in simulation facilitation and administration. The program is cohort-based, and the timetable is coordinated in advance through discussions with the HFX team to ensure maximum participation. For more information on the program structure, instructional materials, and certification requirements, please read on. What to Expect: The Healthcare Hero simulation places you in charge of a fictional hospital. Over eight simulation rounds - each representing one quarter of business operations - you will make strategic decisions to optimize patient care while managing staffing, capacity, quality, and finances. Throughout the simulation, you’ll navigate challenges like healthcare and economic crises, all while balancing the needs of multiple stakeholders. Your ultimate goal is to outperform competing hospitals managed by other participants in the program. Program and Certification Requirements This program equips you to confidently lead the simulation by requiring more than attendance or participation. To earn certification, you must: Thoroughly Prepare: Review all instructional materials and the scenario manual before the course begins. Fully Participate: Attend all Zoom sessions and complete each simulation round with focus and effort. Demonstrate Mastery: Show a comprehensive understanding of the simulation’s dynamics, decision-making processes, and strategies during practice and live rounds. Engage in Reflection: Actively participate in debrief sessions, assess your performance, and identify strategies for improvement. This certification ensures you are equipped to facilitate this complex simulation with confidence. Auditing the course is an option, but participants who choose to audit will not receive certification. Program Format The program is delivered intensively over one or more Zoom sessions, totaling six hours. This compressed format demands your full attention and focus to successfully navigate the simulation’s complexities. Eligibility Requirements: By registering for this training program, you acknowledge the following: You have discussed your needs with the HFX team and confirmed that the simulation aligns with your class or program objectives. You are an instructor at an academic institution. You agree to the confidentiality terms and commit not to distribute, disclose, or replicate any program content for purposes outside of this training. This program is offered in goodwill to academic instructors as a resource to enhance their teaching. As part of this agreement, you understand that all materials, including the simulation itself, are proprietary to HFX and its partners. Any use of these materials for purposes beyond this program, such as developing similar tools or simulations, is strictly prohibited. Course Structure: After registering, you will gain immediate access to the simulation’s instructional materials. This includes: The Scenario Manual: Your guide to understanding the game. The Capacity Planner Worksheet and Financial Planning Worksheet: Tools to help you strategize. The Strategy Planning Exercise: Designed to align your decisions with overall objectives. The Portal Guide: A walkthrough of the simulation platform. The program unfolds in four key phases: Phase 1: Pre Zoom Call / Study / Set Up Register using the button at the bottom of this page. Review the instructional materials thoroughly. Once the cohort is finalized, you will be sent your login credentials for the simulation itself. Try to submit decisions for the first practice round using the simulation portal at www.simulationportal.com. Phase 2: Play We run two practice rounds over the first 2 hours of the zoom call. This allows you to familiarize yourself with the platform and decision-making process, and think through what your strategy might be in the live game. The simulation resets ("zeroed") after the practice rounds. A brief session will clarify lessons learned and expectations for the live rounds. Over eight rounds, you’ll compete against other participants while refining your strategic decisions. Phase 3: Feedback Reflect on your performance during a structured debrief, including: Strengths and areas for improvement. Insights into competitors’ strategies. Strategic lessons learned, and applicability to local healthcare organizations. Phase 4: Implementation Planning Work with the HFX team to plan your first application of the simulation in a teaching environment. Certification Outcome Upon completing this program, you will earn the HFX Instructor Training Certification: Level One, signifying your expertise in conducting impactful simulation-based training using Healthcare Hero.

The course is relevant to anyone requiring an understanding of the use of Agile or looking to adopt it. This includes, but is not limited to, organisational leaders and managers, marketing executives and managers, and/or all professionals working in an Agile environment, including software sesters, developers, business analysts, UX designers, project management office (PMO), project support and project coordinators.