11972 Environment courses in Formby delivered Online

Change Management Course Overview This Change Management course provides a comprehensive understanding of the principles and practices essential for effectively managing organisational change. Learners will explore how change impacts individuals and organisations, and discover strategies to lead transitions smoothly. The course covers critical areas including communication, stakeholder engagement, and conflict resolution, equipping learners with skills to address resistance and foster a positive environment. By completing this course, participants will gain valuable insights into managing crises, performance, and stress during change initiatives, ensuring they are well-prepared to support sustainable organisational development. Ideal for professionals at all levels, this course enhances leadership capabilities and prepares learners to navigate the complexities of change with confidence and competence. Course Description This course delves into the multifaceted nature of change within organisations, examining its effects on individuals and wider business structures. Learners will study key theories and frameworks underpinning change management, alongside techniques for effective communication and stakeholder engagement. The curriculum emphasises human resource considerations, crisis and conflict management, and attention and performance optimisation during periods of transition. Additionally, the course addresses project management fundamentals, risk assessment, and strategies for managing stress associated with change. Through a structured and informative learning experience, participants will develop the analytical and interpersonal skills needed to lead change initiatives successfully and contribute to organisational resilience. The content is designed to support professional growth and adaptability in evolving work environments, adhering to UK English standards. Change Management Curriculum Module 01: Change Management Module 02: Change and the Individual Module 03: Change and the Organisation Module 04: Communication and Stakeholder Engagement Module 05: Human Resource Management Module 06: Crisis Management Module 07: Conflict Management Module 08: Attention Management Module 09: Performance Management Module 10: Project Management Module 11: Risk Assessment and Management Module 12: Stress Management (See full curriculum) Who is this course for? Individuals seeking to develop skills in managing organisational change. Professionals aiming to enhance leadership and team management capabilities. Beginners with an interest in organisational development and business management. HR practitioners, project managers, and team leaders involved in change initiatives. Career Path Change Management Consultant Human Resources Manager Project Manager Organisational Development Specialist Business Analyst Crisis and Risk Manager Performance and Productivity Coordinator

Ensuring an efficient flow of goods and services between manufacturers and their skilled trade customer base.

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

Course Overview The Restaurant Management Level 3 course offers a comprehensive exploration of the skills and strategies required to successfully manage a restaurant. Covering key areas such as menu planning, staff recruitment, financial management, and customer relations, this course prepares learners to navigate the dynamic restaurant industry with confidence. Whether aspiring to open a new venue or improve existing operations, learners will gain valuable insights into creating efficient layouts, maintaining safety standards, managing inventory, and implementing effective marketing strategies. The course blends theoretical knowledge with real-world industry standards, equipping participants to handle the complexities of restaurant management. By completing this course, learners will be able to develop structured plans for running a successful restaurant, cultivate a strong team culture, and deliver exceptional customer experiences. This qualification provides a valuable stepping stone towards achieving career goals in the vibrant hospitality sector. Course Description The Restaurant Management Level 3 course delves into the essential elements that underpin a thriving restaurant business. Topics covered include restaurant selection and set-up, legal and health regulations, drinks and food management, technology integration, financial planning, staff training, and customer engagement. Learners will explore how to create compelling menus, implement inventory systems, and foster teamwork within a restaurant environment. Emphasis is placed on strategic decision-making, operational efficiency, and building a reputable brand image. The course is structured to support learners in developing managerial skills, with a strong focus on leadership, communication, and customer satisfaction. Designed for those seeking a detailed understanding of the restaurant business, this programme empowers learners with the knowledge needed to excel in both operational and supervisory roles. Upon completion, learners will possess the expertise to contribute significantly to any restaurant’s success or embark on entrepreneurial ventures in the food and hospitality industry. Course Modules Module 01: An Overview of the Restaurant Industry Module 02: Choosing Your Restaurant Module 03: Restaurant Layout Management and Legal Requirements Module 04: Menu Planning Module 05: Drinks Management Module 06: Purchasing, Receiving, Inventory, and Storage Module 07: Financing Your Business Module 08: Finding, Recruiting, and Training Employees Module 09: Running a Safe and Clean Restaurant Module 10: Handling Service Using Technology Module 11: Teamwork and Daily Routine of a Restaurant Module 12: Customer Relations and Marketing Policy (See full curriculum) Who is this course for? Individuals seeking to pursue a career in restaurant management. Professionals aiming to enhance their leadership skills within the hospitality industry. Beginners with an interest in understanding restaurant operations. Entrepreneurs planning to open or manage a restaurant business. Hospitality staff looking to transition into management roles. Career Path Restaurant Manager Assistant Restaurant Manager Hospitality Supervisor Food and Beverage Manager Front of House Manager Catering Manager Restaurant Owner or Entrepreneur Operations Manager in Hospitality Businesses

Master Python 3.10 from the experts with this course and demonstrate programming wizardry in Python. Go from a geek to a wizard in no time with this well-structured video course and write Python code like a pro. Learn about the often-forgotten basics and special features of programming and Python in general.

Duration 2 Days 12 CPD hours This course is intended for This class is primarily intended for the following participants: Technical employees using GCP, including customer companies, partners and system integrators deployment engineers, cloud architects, cloud administrators, system engineers , and SysOps/DevOps engineers. Individuals using GCP to create, integrate, or modernize solutions using secure, scalable microservices architectures in hybrid environments. Overview Connect and manage Anthos GKE clusters from GCP Console whether clusters are part of Anthos on Google Cloud or Anthos deployed on VMware. Understand how service mesh proxies are installed, configured and managed. Configure centralized logging, monitoring, tracing, and service visualizations wherever the Anthos GKE clusters are hosted. Understand and configure fine-grained traffic management. Use service mesh security features for service-service authentication, user authentication, and policy-based service authorization. Install a multi-service application spanning multiple clusters in a hybrid environment. Understand how services communicate across clusters. Migrate services between clusters. Install Anthos Config Management, use it to enforce policies, and explain how it can be used across multiple clusters. This two-day instructor-led course prepares students to modernize, manage, and observe their applications using Kubernetes whether the application is deployed on-premises or on Google Cloud Platform (GCP). Through presentations, and hands-on labs, participants explore and deploy using Kubernetes Engine (GKE), GKE Connect, Istio service mesh and Anthos Config Management capabilities that enable operators to work with modern applications even when split among multiple clusters hosted by multiple providers, or on-premises. Anthos Overview Describe challenges of hybrid cloud Discuss modern solutions Describe the Anthos Technology Stack Managing Hybrid Clusters using Kubernetes Engine Understand Anthos GKE hybrid environments, with Admin and User clusters Register and authenticate remote Anthos GKE clusters in GKE Hub View and manage registered clusters, in cloud and on-premises, using GKE Hub View workloads in all clusters from GKE Hub Lab: Managing Hybrid Clusters using Kubernetes Engine Introduction to Service Mesh Understand service mesh, and problems it solves Understand Istio architecture and components Explain Istio on GKE add on and it's lifecycle, vs OSS Istio Understand request network traffic flow in a service mesh Create a GKE cluster, with a service mesh Configure a multi-service application with service mesh Enable external access using an ingress gateway Explain the multi-service example applications: Hipster Shop, and Bookinfo Lab: Installing Open Source Istio on Kubernetes Engine Lab: Installing the Istio on GKE Add-On with Kubernetes Engine Observing Services using Service Mesh Adapters Understand service mesh flexible adapter model Understand service mesh telemetry processing Explain Stackdriver configurations for logging and monitoring Compare telemetry defaults for cloud and on-premises environments Configure and view custom metrics using service mesh View cluster and service metrics with pre-configured dashboards Trace microservice calls with timing data using service mesh adapters Visualize and discover service attributes with service mesh Lab: Telemetry and Observability with Istio Managing Traffic Routing with Service Mesh Understand the service mesh abstract model for traffic management Understand service mesh service discovery and load balancing Review and compare traffic management use cases and configurations Understand ingress configuration using service mesh Visualize traffic routing with live generated requests Configure a service mesh gateway to allow access to services from outside the mesh Apply virtual services and destination rules for version-specific routing Route traffic based on application-layer configuration Shift traffic from one service version to another, with fine-grained control, like a canary deployment Lab: Managing Traffic Routing with Istio and Envoy Managing Policies and Security with Service Mesh Understand authentication and authorization in service mesh Explain mTLS flow for service to service communication Adopt mutual TLS authentication across the service mesh incrementally Enable end-user authentication for the frontend service Use service mesh access control policies to secure access to the frontend service Lab: Managing Policies and Security with Service Mesh Managing Policies using Anthos Config Management Understand the challenge of managing resources across multiple clusters Understand how a Git repository is as a configuration source of truth Explain the Anthos Config Management components, and object lifecycle Install and configure Anthos Config Management, operators, tools, and related Git repository Verify cluster configuration compliance and drift management Update workload configuration using repo changes Lab: Managing Policies in Kubernetes Engine using Anthos Config Configuring Anthos GKE for Multi-Cluster Operation Understand how multiple clusters work together using DNS, root CA, and service discovery Explain service mesh control-plane architectures for multi-cluster Configure a multi-service application using service mesh across multiple clusters with multiple control-planes Configure a multi-service application using service mesh across multiple clusters with a shared control-plane Configure service naming/discovery between clusters Review ServiceEntries for cross-cluster service discovery Migrate workload from a remote cluster to an Anthos GKE cluster Lab: Configuring GKE for Multi-Cluster Operation with Istio Lab: Configuring GKE for Shared Control Plane Multi-Cluster Operation

Prepare to make a difference with Learning Support Assistant Training. Equip yourself with the skills needed to effectively support students and enhance their learning experience.

Helping emergency and frontline service workers to better understand and engage with individuals who hoard or exhibit hoarding behaviour.

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost