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Recovering Troubled Projects Despite our best intentions, many of the projects that organizations undertake either don't achieve their intended business results or end in complete failure. Most seasoned project managers have had their share of experiences with difficult or troubled projects and unless they are careful, they will encounter more. This workshop does not focus on 'failed' projects but rather on those projects which without appropriate intervention would be headed for failure. Failed projects are those beyond help and which should be terminated. Here we focus on projects that are salvageable. It is an exercise-driven, no-nonsense, professional practice-focused workshop positioning the participant to immediately apply the tools and lessons learned in the classroom. The workshop employs the use of both illustrative and practical/working case studies. Illustrative case studies will examine insights from real-world troubled projects. Participants will be asked to bring descriptions of their own examples of troubled projects on which they're currently working or on which they have worked in the past. A number of these will be used as the basis for the practical/working case studies. The approach builds on and complements the disciplines addressed in Project Management Institute's PMBOK® Guide and also addresses issues that arise when managing projects in a complex environment. What You Will Learn You will learn to: Recognize the value of a structured project recovery process Explain the reasons most projects fail Analyze the causes of a project's troubles Construct a negotiation process to use with key stakeholders Apply an effective strategy to planning the recovery effort Manage, evaluate, and adjust the ongoing recovery effort Foundation Concepts Recognizing a troubled project Defining the project recovery process The Reasons Projects Fail Putting failure in perspective Reviewing management issues Analyzing planning issues Exploring complexity issues Assess the Project Stabilizing the project Determining preliminary Go / No-Go Conducting a detailed recovery assessment Negotiate the Recovery Reviewing the basics of negotiation Setting reasonable expectations Obtaining appropriate PM authority Securing key stakeholder support Plan the Recovery Planning for recoveries Rebuilding the project team Reshaping the project plan Managing parallel activities Planning for change management Implement and Adjust the Project Implementing project recoveries Facilitating change Enabling continuous learning Fostering the project team Sustaining stakeholder engagement

"You have to see failure as the beginning and the middle, but never entertain it as an end"

  ISO 45001 is the first global occupational health and safety management system standard that replaces OHSAS 18001. The IECB Certified ISO 45001 Lead Auditor training course helps in developing the necessary skillset to perform occupational health and safety management system (OH&S MS) audits by applying widely recognized audit principles, procedures, and methods.   About This Course   This training course has been developed to reflect the importance of an effective internal audit. It strengthens your knowledge and skills to plan and carry out an OH&S MS audit in compliance with the guidelines for auditing management systems provided in ISO 19011 and the certification process described in ISO/IEC 17021-1. The exercises provided for this training course are designed to help you practice the most important aspects of an OH&S MS audit: ISO 45001 requirements, auditing principles, tools and techniques used to obtain evidence, leading a team of auditors, conducting interviews with auditees, reviewing documented information, drafting nonconformity reports, and preparing the final audit report. The successful completion of the training course is followed by an exam. If you pass the exam, you gain the 'Certified ISO 45001 Internal Auditor' credential, which validates your professional capabilities and demonstrates your ability to audit an OH&S MS based on ISO 45001.   Learning objectives By the end of this training course, the participants will be able to: Explain the foundational concepts and principles of an occupational health and safety management system (OH&S MS) based on ISO 45001 Interpret the ISO 45001 requirements for an OH&S MS from the perspective of an auditor Evaluate the OH&S MS conformity to ISO 45001 requirements, in accordance with the foundational audit concepts and principles Plan, conduct, and close an ISO 45001 internal audit, in accordance with ISO/IEC 17021-1 requirements, ISO 19011 guidelines, and other best practices of auditing Manage an ISO 45001 internal audit programme   Educational approach This training course is participant centred and contains: Theories, best practices used in occupational health and safety management auditing Lecture sessions, which are illustrated with practical exercises based on a case study that includes role-playing and discussions Interactions, made between participants by means of questions and suggestions Quizzes, which are a simulation and preview of the certification exam   Course Overview Module 1 Foundational principles and concepts of an occupational health and safety management system Module 2 ISO 45001 requirements for an OH&S MS - Clauses 4 to 10 Module 3 Foundational audit concepts and principles Module 4 Preparing for an ISO 45001 audit Module 5 Conducting an internal ISO 45001 audit Module 6 Closing an ISO 45001 audit Module 7 Managing an ISO 45001 internal audit programme   Course Agenda Day 1: Introduction to OH&S MS and ISO 45001 Day 2: Audit principles and the preparation for and initiation of an audit Day 3: On-site audit activities and closing the audit, as well as the Certification exam Accreditation Assessment   All candidates at official training courses are tested throughout their course with quizzes and exercises, in combination with a final exam held on the last day of the course. Both elements are a part of the overall score. For this course, the final exam constitutes a 10 question essay type exam which should be completed within 125 minutes. A passing score is achieved at 70%. Self-study candidates can purchase an exam voucher from our Store. Exam results are returned within 24 hours, with successful candidates receiving both a digital badge and a Certificate of Achievement   Prerequisites   The main requirements for participating in this training course are: a foundational understanding of ISO 45001 and a comprehensive knowledge of audit principles. Provided by   This course is Accredited by NACSand Administered by the IECB What's Included?   Refreshments & Lunch (Classroom courses only) Course Slide Deck Official Study Guides CPD Certificate The Exam Who Should Attend?   Auditors interested in performing OH&S MS internal audits Managers or consultants interested in advancing their knowledge of the OH&S MS audit process Internal auditors and individuals responsible for maintaining conformity to the requirements of ISO 45001 Technical experts interested in preparing for an OH&S MS audit Expert advisors in occupational health and safety management

Duration 4 Days 24 CPD hours This course is intended for Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure. AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage?Azure AI Services,?Azure AI Search, and?Azure OpenAI. The course will use C# or Python as the programming language. Prerequisites Before attending this course, students must have: Knowledge of Microsoft Azure and ability to navigate the Azure portal Knowledge of either C# or Python Familiarity with JSON and REST programming semantics Recommended course prerequisites AI-900T00: Microsoft Azure AI Fundamentals course 1 - Prepare to develop AI solutions on Azure Define artificial intelligence Understand AI-related terms Understand considerations for AI Engineers Understand considerations for responsible AI Understand capabilities of Azure Machine Learning Understand capabilities of Azure AI Services Understand capabilities of the Azure Bot Service Understand capabilities of Azure Cognitive Search 2 - Create and consume Azure AI services Provision an Azure AI services resource Identify endpoints and keys Use a REST API Use an SDK 3 - Secure Azure AI services Consider authentication Implement network security 4 - Monitor Azure AI services Monitor cost Create alerts View metrics Manage diagnostic logging 5 - Deploy Azure AI services in containers Understand containers Use Azure AI services containers 6 - Analyze images Provision an Azure AI Vision resource Analyze an image Generate a smart-cropped thumbnail 7 - Classify images Provision Azure resources for Azure AI Custom Vision Understand image classification Train an image classifier 8 - Detect, analyze, and recognize faces Identify options for face detection analysis and identification Understand considerations for face analysis Detect faces with the Azure AI Vision service Understand capabilities of the face service Compare and match detected faces Implement facial recognition 9 - Read Text in images and documents with the Azure AI Vision Service Explore Azure AI Vision options for reading text Use the Read API 10 - Analyze video Understand Azure Video Indexer capabilities Extract custom insights Use Video Analyzer widgets and APIs 11 - Analyze text with Azure AI Language Provision an Azure AI Language resource Detect language Extract key phrases Analyze sentiment Extract entities Extract linked entities 12 - Build a question answering solution Understand question answering Compare question answering to Azure AI Language understanding Create a knowledge base Implement multi-turn conversation Test and publish a knowledge base Use a knowledge base Improve question answering performance 13 - Build a conversational language understanding model Understand prebuilt capabilities of the Azure AI Language service Understand resources for building a conversational language understanding model Define intents, utterances, and entities Use patterns to differentiate similar utterances Use pre-built entity components Train, test, publish, and review a conversational language understanding model 14 - Create a custom text classification solution Understand types of classification projects Understand how to build text classification projects 15 - Create a custom named entity extraction solution Understand custom named entity recognition Label your data Train and evaluate your model 16 - Translate text with Azure AI Translator service Provision an Azure AI Translator resource Specify translation options Define custom translations 17 - Create speech-enabled apps with Azure AI services Provision an Azure resource for speech Use the Azure AI Speech to Text API Use the text to speech API Configure audio format and voices Use Speech Synthesis Markup Language 18 - Translate speech with the Azure AI Speech service Provision an Azure resource for speech translation Translate speech to text Synthesize translations 19 - Create an Azure AI Search solution Manage capacity Understand search components Understand the indexing process Search an index Apply filtering and sorting Enhance the index 20 - Create a custom skill for Azure AI Search Create a custom skill Add a custom skill to a skillset 21 - Create a knowledge store with Azure AI Search Define projections Define a knowledge store 22 - Plan an Azure AI Document Intelligence solution Understand AI Document Intelligence Plan Azure AI Document Intelligence resources Choose a model type 23 - Use prebuilt Azure AI Document Intelligence models Understand prebuilt models Use the General Document, Read, and Layout models Use financial, ID, and tax models 24 - Extract data from forms with Azure Document Intelligence What is Azure Document Intelligence? Get started with Azure Document Intelligence Train custom models Use Azure Document Intelligence models Use the Azure Document Intelligence Studio 25 - Get started with Azure OpenAI Service Access Azure OpenAI Service Use Azure OpenAI Studio Explore types of generative AI models Deploy generative AI models Use prompts to get completions from models Test models in Azure OpenAI Studio's playgrounds 26 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 27 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 28 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 29 - Generate images with Azure OpenAI Service What is DALL-E? Explore DALL-E in Azure OpenAI Studio Use the Azure OpenAI REST API to consume DALL-E models 30 - Use your own data with Azure OpenAI Service Understand how to use your own data Add your own data source Chat with your model using your own data 31 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution

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Scrum Product Owner Exam Prep: In-House Training This workshop prepares you for the Scrum.org PSPO™ I certification. A voucher for the exam and the access information you will need to take the exam will be provided to you via email after you have completed the course. NOTE: If you have participated in any of IIL's other Scrum workshops, you can bypass this program and focus on reading/studying the Scrum Guide and taking practice exams from Scrum.org The Product Owner is responsible for maximizing the value of the product and the work of the Development Team. The Product Owner must be knowledgeable, available, and empowered to make decisions quickly in order for an Agile project to be successful. The Product Owner's key accountability is the Product Backlog. Managing, maintaining, and evolving the Product Backlog involves: Establishing a clear vision that engages the Development Team and stakeholders Clearly expressing Product Backlog items Ordering the items in the Product Backlog to best achieve the vision and goals Ensuring that the Product Backlog is visible, transparent, and clear to all Working with the Development Team throughout the project to create a product that fits the customer's need What you will Learn You'll learn how to: Successfully prepare for the Scrum.org PSPO I exam Identify the characteristics of a successful Product Owner Create a powerful vision statement Apply techniques to understand your customers and the market Manage and engage stakeholders Write effective user stories with acceptance criteria Utilize techniques to visualize and prioritize the Product Backlog Participate in the 5 Scrum events as the Product Owner Understand the Product Owner's role in closing a Scrum project Getting Started Introductions Workshop orientation Exam prep preview Fundamentals Recap Agile Manifesto, values, and mindset Product Owner characteristics Good vs. great Product Owner Product Ownership Product ownership Project vision Understand your customers and market Personas Stakeholder management and engagement The Product Backlog User Stories and Acceptance Criteria Preparing User Stories for a Sprint The Product Backlog Visualizing the Product Backlog Product Backlog Prioritization Technical Debt Sprint Planning and Daily Standups Sprint Planning Planning Poker Team Engagement Daily Standups Sprint Review, Retrospectives, and Closing Sprint Reviews Key Agile Patterns Retrospectives Closing the Project