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Artificial Intelligence (AI) is the most disruptive technology since the internet came onto the scene. AI is transforming every aspect of how we manage projects from developing a business case, to planning the work, managing risk, and tracking performance. Because the technology and market are moving so fast, it can be difficult to know how to start using AI on projects. Generative AI for Project Management will engage you with diverse Generative AI tools to start, plan, and manage either your own project or a generic case study. We will embrace a tool agnostic approach to adopting, integrating, and scaling Generative AI without compromising data or trust. You will have hands-on practice utilizing AI tools to optimize your time and your outcomes. You will be accessing a variety of AI tools requiring you to register for a free account. A computer is required for all traditional classroom deliveries. None At the end of this program, you will be able to: Define essential terms and concepts related to artificial intelligence (AI) Illustrate how prompts facilitate interaction with Generative AI Recognize the capabilities of Large Language Models Craft prompts to develop project origination documents Create prompts to assist in planning a project Develop user stories with Generative AI Analyze project performance using Generative AI Identify the limitations of Generative AI Identify the risks associated with using Generative AI Articulate the need for governance and ethics when establishing an AI program in an organization Course Overview Getting Started Foundation Concepts Understanding essential terms and concepts related to AI Exploring various Generative AI Models Understanding Prompts Creating Prompts for Project Startup Prompts for starting a project Prompts for planning a project Best Practices for prompt engineering Creating Prompts for Managing Projects Creating agile user stories Measuring project performance Analyzing a schedule Using Generative AI Responsibly Limitations of AI Models Establishing an AI governance framework Future trends and next steps Summary and Next Steps

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Process Architects, and Business Process Owners/Team Leads/Power Users. Overview Participants learn how production orders are used, and which main system setting must be made for production order execution. In this course, students learn how production orders are used and which main system setting must be made for production order execution. Introduction to Production Orders Outlining SAP Supply Chain Management Outlining Production Orders Applying Production Orders in Supply Chain Management Order Processing and Order Structure Processing Production Orders Analyzing the Production Order Structure Order Creation Creating Production Orders Without Master Data Creating Production Orders Based on Planned Orders Creating Production Orders Without Planned Orders Defining Order Types Creating Production Orders with Master Data Scheduling Production Orders Costing of Production Orders Order Release Checking Material Availability Checking Capacity Availability Checking Production Resource/Tool Availability Planning Capacities Releasing Production Orders Order Documents Setting Up Order Print Control Printing Production Orders Material Staging Staging Material Withdrawing Material Confirmations Setting Parameters for Confirmations Executing Confirmations Good Receipt Preparing Goods Receipts Posting Goods Receipts Order Settlement, Archiving, & Deletion Settling Production Orders Archiving and Deleting Production Orders Information Systems and Automation Applying Information Systems Automating Production Orders and Mass Processing Applying Collective Orders Applying Trigger Points Extended Functionality and Enhancements Applying Order Split Applying Shift Reports and Shift Notes Applying Work-in-Process (WIP) Batches Applying SAP Execution Steps (XSteps) for Routings and Production Orders Outlining the Production Planning-Plant Data Collection (PP-PDC) Interface Outlining SAP Manufacturing Integration and Intelligence (SAP MII) in Shop Floor Control Applying Handling Units in Production

Budgeting is more than mere vague oversight. Budgeting should deliver the corporate strategy, add shareholder value and lead to a well-run business - for the benefit of all involved in it. Effective budgeting leads to real control - effective day-to-day operational control and more. This course demonstrates what proper budgeting and operational control can do. This course will help ensure that participants: Appreciate the importance of the budgeting process Take ownership of it Use it as a daily working tool - not an annual exercise - to help run their part of the operation Improve their reporting against budget Ensure their delivery against budget 1 Objectives of budgets The budget process Stages - what is the prime aim of a budget? What is forecasting? ObjectivesPlanningImplementation 2 Budget and cost control focus Choosing objectives Links with corporate strategy Links with resource management Can the accounting systems cope? 3 Traditional budgeting and control Benefits and drawbacks The process Control and feedback Reporting - what can be expected? 4 Advanced budgeting and control Understanding the business process Taking out costs Cost awareness ZBB - as valid as ever 5 Reports Reports for action The purpose of a report Content - deliverables and feedback Culture is so important

Give leaders and managers the skills to tackle the tough stuff with this practical course. Perfect for experienced as well as new managers, we’ll provide the tools to talk confidently with staff on tricky subjects and highlight the importance of enhancing their emotional intelligence. The course includes: Changing your mindset Unconscious bias Emotional Intelligence Planning (not scripting) Monologue vs dialogue Questioning skills Listening skills Solution- finding

Reliability Centred Maintenance (RCM) is commonly used to help establish safe minimum levels of maintenance, determine changes to operating procedures and help establish maintenance regimes and plans. Successful implementation can result in cost savings, machine uptime and improved risk management. But the devil's in the detail - how can you achieve these benefits and successfully implement RCM in your organisation? This programme will help you do just that. Note: this is a purely indicative outline. The content, duration, objectives and material used can all be adapted to match your specific requirements. To provide a better understanding of RCM, particularly: What, why, how and who? Opportunities and benefits Risks Cost effectiveness Note: this is a purely indicative outline. The content, duration, objectives and material used can all be adapted to match your specific requirements. 1 What is maintenance? Why maintain? Traditional maintenance methods Common current practices and trends 2 What is Reliability Centred Maintenance? Its history Its development Current usage Where can it be cost-effective? 3 How does it work? Basic features Key criteria Maintenance options Key outcomes 4 Making the business case and preparing the strategy Identifying and quantifying current risks Identifying and quantifying current costs Motivating decision-makers Identifying and empowering those who have to deliver the results Educating / gaining buy-in from interested parties 5 Implementation Identify business functions Prioritise functions Verify correct usage Identify failure modes Identify the consequences of failure Understand the failure process Specify the appropriate maintenance action(s) 6 Ongoing requirements Monitoring Recording Analysis Continuous re-evaluation 7 Open discussion Sharing experience and addressing specific issues of interest to participants Course review Close

Duration 2 Days 12 CPD hours This course is intended for The target audience for the DevOps Engineering Foundation course are individuals involved in engineering and technical practices such as: DevOps Practice owners and process designers Developers, QA engineers and Managers who are interested in understanding how DevOps works. Employees and managers responsible for engineering or improving processes. Consultants guiding their clients through process improvement and DevOps initiatives. Anyone responsible for: Managing process-related requirements Ensuring the efficiency and effectiveness of processes Maximizing the value of processes Overview The learning objectives for DevOps Engineering Foundation include an understanding of: How to engineer DevOps solutions DevOps Technologies Applications Architectures Continuous Integration Continuous Testing Ephemeral Elastic Infrastructures Continuous Delivery and Deployment Metrics, Monitoring, Observability and Governance DevOps Humans Future Trends This course explains the many aspects of DevOps engineering that leaders and practitioners can execute upon. While DevOps Foundation provides an overview of DevOps, this course will provide a closer look at the implementation process from an engineering perspective. It is an in depth view of the major aspects of engineering DevOps. An engineering approach is critical to DevOps journeys. This course provides the foundations of knowledge, principles and practices from a technical perspective needed to engineer a successful DevOps solution. DevOps Engineering Introduction DevOps Foundations Principles and Practices Related Frameworks Performance and Benefits DevOps Technology Source and Artifacts Control CI/CD pipelines Tools and Toolchains Application Release Automation Value Stream Management Applications Architectures and Continuous Integration Application Architectures Containers Continuous integration Continuous Testing CT Tenets Test creation & TDD Test acceleration Test results Test management Test environment management Ephemeral Elastic Infrastructures Virtual and Cloud Configuration management Infra-as-code Containers Orchestration GitOps Continuous Delivery and Deployment Continuous Delivery and Deployment Release Automation Deployment Strategies Metrics, Monitoring, Observability, Governance DevOps Metrics Monitoring Observability Governance DevOps Engineering Humans Culture Team Topologies Continuous Learning Future DevOps Trends Additional course details: Nexus Humans DevOps Engineering Foundation (DevOps Institute) 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 DevOps Engineering Foundation (DevOps Institute) 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 3 Days 18 CPD hours This course is intended for This class is intended for the following customer job roles: Cloud architects, administrators, and SysOps personnel Cloud developers and DevOps personnel Overview This course teaches participants the following skills: Plan and implement a well-architected logging and monitoring infrastructure Define Service Level Indicators (SLIs) and Service Level Objectives (SLOs) Create effective monitoring dashboards and alerts Monitor, troubleshoot, and improve Google Cloud infrastructure Analyze and export Google Cloud audit logs Find production code defects, identify bottlenecks, and improve performance Optimize monitoring costs This course teaches you techniques for monitoring, troubleshooting, and improving infrastructure and application performance in Google Cloud. Guided by the principles of Site Reliability Engineering (SRE), and using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, tracing application performance bottlenecks, and profiling CPU and memory usage. Introduction to Google Cloud Monitoring Tools Understand the purpose and capabilities of Google Cloud operations-focused components: Logging, Monitoring, Error Reporting, and Service Monitoring Understand the purpose and capabilities of Google Cloud application performance management focused components: Debugger, Trace, and Profiler Avoiding Customer Pain Construct a monitoring base on the four golden signals: latency, traffic, errors, and saturation Measure customer pain with SLIs Define critical performance measures Create and use SLOs and SLAs Achieve developer and operation harmony with error budgets Alerting Policies Develop alerting strategies Define alerting policies Add notification channels Identify types of alerts and common uses for each Construct and alert on resource groups Manage alerting policies programmatically Monitoring Critical Systems Choose best practice monitoring project architectures Differentiate Cloud IAM roles for monitoring Use the default dashboards appropriately Build custom dashboards to show resource consumption and application load Define uptime checks to track aliveness and latency Configuring Google Cloud Services for Observability Integrate logging and monitoring agents into Compute Engine VMs and images Enable and utilize Kubernetes Monitoring Extend and clarify Kubernetes monitoring with Prometheus Expose custom metrics through code, and with the help of OpenCensus Advanced Logging and Analysis Identify and choose among resource tagging approaches Define log sinks (inclusion filters) and exclusion filters Create metrics based on logs Define custom metrics Link application errors to Logging using Error Reporting Export logs to BigQuery Monitoring Network Security and Audit Logs Collect and analyze VPC Flow logs and Firewall Rules logs Enable and monitor Packet Mirroring Explain the capabilities of Network Intelligence Center Use Admin Activity audit logs to track changes to the configuration or metadata of resources Use Data Access audit logs to track accesses or changes to user-provided resource data Use System Event audit logs to track GCP administrative actions Managing Incidents Define incident management roles and communication channels Mitigate incident impact Troubleshoot root causes Resolve incidents Document incidents in a post-mortem process Investigating Application Performance Issues Debug production code to correct code defects Trace latency through layers of service interaction to eliminate performance bottlenecks Profile and identify resource-intensive functions in an application Optimizing the Costs of Monitoring Analyze resource utilization cust for monitoring related components within Google Cloud Implement best practices for controlling the cost of monitoring within Google Cloud

Duration 0.5 Days 3 CPD hours This course is intended for This course is intended for a wide range of managers and staff members who need to successfully manage small- to medium-sized projects. Overview Upon successful completion of this course, students will be able to: - plan the project and its parameters, including its scope, requirements, resources, and constraints. - implement the project plan, which includes putting the work of the project in motion and delegating tasks, and then monitoring the progress of the project and managing changes as they arise. In this course, students will identify methods of effectively managing small- to medium-sized projects and achieving their stated objectives. Planning the Project Define the Project Requirements Create Your Project Plan Implementing the Project Plan Execute the Project Plan Monitor the Progress of the Project Negotiate for Success Evaluate the Process

This half-day course is for anyone who wants to learn how to use AI and specifically ChatGPT to improve their marketing and social media.

Challenging behaviour is causing increasing concern today as many individuals have increasing levels of stress and uncertainty in their lives. Understanding the causes of challenging behaviour is the first step towards finding ways to support individuals and manage their behaviour.