1294 Courses in London

Why Learn Revit and 3dsMax V-Ray Visualization Basic to Advance Training Course? Course info Master architectural visualization and photorealistic renderings. In-person or live online options available. Learn Revit and 3dsMax, V-Ray rendering, and advanced techniques. Hands-on projects for real-world experience. Duration: 40 hrs Method: 1-on-1 - Individual support. Schedule: Tailor your own schedule by pre-booking a convenient hour of your choice, available from Mon to Sat between 9 am and 7 pm. Comprehensive Training: Master Revit, 3dsMax, and advanced visualization techniques for exceptional results. V-Ray Rendering: Explore realistic rendering with V-Ray, including advanced techniques and materials. Real-World Projects: Work on industry-relevant projects for a professional portfolio. Flexible Learning: Choose in-person or live online sessions for an engaging experience. Lesson Recordings: Access recorded classes to reinforce your understanding. Lifetime Email Support: Get guidance and assistance from experienced instructors beyond the course duration. Autodesk Certified Instructors. Comprehensive Training: Master Revit, 3dsMax, and advanced visualization techniques for exceptional results. V-Ray Rendering: Explore realistic rendering with V-Ray, including advanced techniques and materials. Real-World Projects: Work on industry-relevant projects for a professional portfolio. Flexible Learning: Choose in-person or live online sessions for an engaging experience. Lesson Recordings: Access recorded classes to reinforce your understanding. Lifetime Email Support: Get guidance and assistance from experienced instructors beyond the course duration. Autodesk Certified Instructors. Part 1: Revit (16 hours) Module 1: Introduction to Revit Familiarizing with the Revit interface and workspace Embracing the Building Information Modeling (BIM) workflow Creating a fundamental building model as a starting point Module 2: Basic Modeling in Revit Working with essential elements such as walls, doors, and windows Constructing floors and roofs to complete the building structure Crafting functional and visually appealing stairs and railings Module 3: Advanced Modeling in Revit Delving into the creation and manipulation of families Utilizing parameters and constraints to enhance modeling efficiency Exploring intricate geometries for complex designs Module 4: Annotation and Documentation in Revit Enhancing project documentation by adding text and dimensions Generating informative schedules for better project management Mastering the printing and exporting processes for professional output Part 2: 3ds Max (16 hours) Module 1: Introduction to 3ds Max Navigating the 3ds Max interface and workspace Understanding the 3D modeling workflow for design visualization Initiating the creation of basic 3D models Module 2: Basic Modeling in 3ds Max Working with primitive shapes to build foundational models Creating and refining splines to form versatile shapes Advancing to complex 3D model development for intricate designs Module 3: Materials and Textures in 3ds Max Exploring the material editor and its functionalities Skillfully applying and adjusting materials for realistic renders Incorporating textures to add depth and detail to the models Module 4: Lighting and Cameras in 3ds Max Mastering the art of lighting creation and manipulation Utilizing the daylight system for enhanced realism Understanding cameras and perspectives for compelling visual storytelling Part 3: V-Ray (8 hours) Module 1: Introduction to V-Ray Getting acquainted with the V-Ray interface and workflow Exploring V-Ray materials and textures for high-quality renders Module 2: Lighting and Rendering in V-Ray Creating and refining lighting setups for stunning renders Utilizing global illumination to enhance the realism of scenes Implementing advanced rendering techniques for professional output Module 3: Materials and Textures in V-Ray Crafting and modifying V-Ray materials for realistic surfaces Applying V-Ray textures to add depth and realism to objects Utilizing V-Ray displacement maps for intricate details For 3ds Max free trial, visit: https://www.autodesk.co.uk/products/free-trial. To access the V-Ray free trial, visit: https://www.chaosgroup.com/. Start your journey to becoming a proficient designer and renderer in the world of 3D modeling and visualization. Download Revit Revit and 3dsMax V-Ray Visualization Basic to Advance Training Course: Proficient Software Skills: Acquire a strong command of Revit and 3dsMax, along with advanced techniques in V-Ray rendering. High-Quality Visualizations: Create realistic and visually stunning architectural visualizations using V-Ray. Architectural Modeling: Master the process of modeling architectural elements with precision and efficiency. Materials and Textures: Understand how to apply realistic materials and textures to enhance visualizations. Lighting Setup: Set up lighting environments to achieve optimal illumination and ambiance in renderings. Rendering Techniques: Explore advanced rendering techniques, including global illumination, caustics, and ambient occlusion. Real-World Projects: Complete industry-relevant projects to build a professional-grade portfolio. Problem-Solving Skills: Develop the ability to troubleshoot and resolve rendering challenges effectively. Efficient Workflows: Learn time-saving workflows and best practices for efficient visualization production. Portfolio Showcase: Showcase your newly acquired skills through a diverse range of visualizations.

Our advanced Adobe Photoshop course has been developed especially for Photoshop users who want to harness the full potential of the programme. You will learn advanced techniques for replacing colour, professional image retouching methods and complex blending techniques for integrating textures. You will also discover power user keyboard shortcuts and the advantages of different techniques for masking complex objects, plus much more.

This Beginners Barbering Course is aimed at those looking to be work-ready upon completion and working towards an internationally recognised Barbering qualification. After an initial induction, on day 2 you will learn to cut & style utilising the 5 Alan d Foundation haircuts before moving on to the practical elements of Barbering, incorporating all the latest techniques using scissors, scissor-over-comb, clippers & trimmers and learning beard and moustache trimming and wet shaving.

Global Project Management In this course, you will dig deeper-and differently-into project management processes, tools, and techniques, developing the ability to see them through the lens of global and cultural project impacts. In today's increasingly global environment, managing a project with customers and support organizations spread across multiple countries and continents is a major challenge. From identifying stakeholders and gathering requirements, to planning, controlling, and executing the project, the basic logistics of a global project present their own standard challenges. However, with additional cultural, language-based, and regional elements, global projects involve more complexities than teams often realize. There are unique communication needs, cultural awareness elements, varying customs and work expectations, and critical legal differences to consider. In this course, you will dig deeper-and differently-into project management processes, tools, and techniques, developing the ability to see them through the lens of global and cultural project impacts. This will leverage you to problem solve differently on global projects, prevent problems, and ensure success. The goal is for you to effectively navigate the challenges of leading projects with multi-regional footprints and globally diverse sets of stakeholders. What you Will Learn At the end of this program, you will be able to: Determine when a project meets the criteria of being a true global one Articulate global project needs based on the project grid and framework Identify and analyze global project stakeholders Recognize cultural differences and articulate how they impact project work Determine global project estimating, scheduling, and staffing challenges Assess global project risks and develop problem-solving responses Analyze complex cultural situations and align optimal project communication and negotiation tools and techniques Apply best practices for conducting virtual team work and mitigating virtual challenges Evaluate ways to control for global project scope, cost, and procurement Align customer management best practices with global customer needs Implement key global project closing activities Foundation Concepts What is a global project? What makes a global project different? A global project management framework Initiating the Global Project Launching a global project Respecting cultural differences Identifying and analyzing stakeholders Developing the communications plan Defining the ideal global project manager Crafting a global project charter Planning the Global Project Gathering requirements for a global project Defining the scope, region by region Estimating and scheduling for global projects Staffing the global project Developing the global risk management plan Executing the Global Project Managing global stakeholder expectations Embracing cultural diversity Honing global negotiation techniques Procuring goods and services on a global basis Managing global legal and regulatory issues at the micro and macro level Monitoring and Controlling the Global Project Status reporting Virtual communication Cost control Schedule control Scope control Customer satisfaction Closing the Global Project Contract closure at the macro and micro levels Administrative closure with global reach Lessons learned

Global Project Management: In-House Training: In-House Training In this course, you will dig deeper-and differently-into project management processes, tools, and techniques, developing the ability to see them through the lens of global and cultural project impacts. In today's increasingly global environment, managing a project with customers and support organizations spread across multiple countries and continents is a major challenge. From identifying stakeholders and gathering requirements, to planning, controlling, and executing the project, the basic logistics of a global project present their own standard challenges. However, with additional cultural, language-based, and regional elements, global projects involve more complexities than teams often realize. There are unique communication needs, cultural awareness elements, varying customs and work expectations, and critical legal differences to consider. In this course, you will dig deeper-and differently-into project management processes, tools, and techniques, developing the ability to see them through the lens of global and cultural project impacts. This will leverage you to problem solve differently on global projects, prevent problems, and ensure success. The goal is for you to effectively navigate the challenges of leading projects with multi-regional footprints and globally diverse sets of stakeholders. What you Will Learn At the end of this program, you will be able to: Determine when a project meets the criteria of being a true global one Articulate global project needs based on the project grid and framework Identify and analyze global project stakeholders Recognize cultural differences and articulate how they impact project work Determine global project estimating, scheduling, and staffing challenges Assess global project risks and develop problem-solving responses Analyze complex cultural situations and align optimal project communication and negotiation tools and techniques Apply best practices for conducting virtual team work and mitigating virtual challenges Evaluate ways to control for global project scope, cost, and procurement Align customer management best practices with global customer needs Implement key global project closing activities Foundation Concepts What is a global project? What makes a global project different? A global project management framework Initiating the Global Project Launching a global project Respecting cultural differences Identifying and analyzing stakeholders Developing the communications plan Defining the ideal global project manager Crafting a global project charter Planning the Global Project Gathering requirements for a global project Defining the scope, region by region Estimating and scheduling for global projects Staffing the global project Developing the global risk management plan Executing the Global Project Managing global stakeholder expectations Embracing cultural diversity Honing global negotiation techniques Procuring goods and services on a global basis Managing global legal and regulatory issues at the micro and macro level Monitoring and Controlling the Global Project Status reporting Virtual communication Cost control Schedule control Scope control Customer satisfaction Closing the Global Project Contract closure at the macro and micro levels Administrative closure with global reach Lessons learned

Lean Six Sigma Black Belt Certification Program This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Lean Six Sigma Black Belt Certification Program: In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Enhance your clinical expertise with our "Extended Clinical Skills Training" course. Designed for healthcare professionals, this course provides practical skills and knowledge for extended clinical procedures and interventions.

Advanced Python training course description This course caters to network engineers aiming to enhance both their Python proficiency and network automation skills. Delving deeper into key areas such as netmiko, Nornir, and ncclient, we also focus on automating network testing and validation. Participants gain greater confidence working with Python functions, classes, objects, and error handling. The course additionally introduces more libraries like Scrapli, TTP, pyATS, Genie, pybatfish, and Suzieq, which cover parsing strategies, automation testing, validation, network analysis, observability, and telemetry. The curriculum also encompasses concurrency techniques. What will you learn Write Python modules and functions. Evaluate techniques to parse unstructured data. Use NETCONF filters. Handle Python errors effectively (try, assert…). Use postman. Automate testing and validation of the network. Use scrapli, Genie, batfish and Suzieq. Advanced Python training course details Who will benefit: Network engineers. Prerequisites: Python for network engineers Duration 5 days Advanced Python training course contents Review CLI, NETCONF, RESTCONF, structured versus unstructured data, gNMI and when to use which. PEP 8. Naming conventions. Packages, modules, Classes and methods. The scrapli library. Netmiko versus scrapli. Hands on: scrapli, Dictionaries versus Regular Expressions. Modules and Functions Writing your own modules, containers versus packages, virtual environments. Best practices, calling functions, writing your own functions. Parameters, arguments. Named arguments, dictionaries as arguments. Builtins. Docstrings. Main. __name__, __main__ . Program arguments. Hands on: Getting interfaces, showing interface status using Netmiko and functions. Using dictionaries as arguments. Writing your own modules. Parsing strategies Turning unstructured data into structured data. textfsm, PyATS Genie parser, NAPALM getters, Template Text Parser. Hands on: Genie parser, TTP. Accessing structured data with lists and dictionaries. Classes, objects and Python Python classes in Genie, PyEZ and others . Hands on: studying network automation classes, objects, methods and attributes. Configuration management - more nornir, ncclient, requests Nornir tasks. Nornir results, Nornir functions, Nornir plugins. Nornir processors. YANG, YANG models, pyang. NETCONF hello. Capabilities. Schemas. Filters. Subtrees. XPATH. Exploring available YANG data models. NETCONF and network wide transactions. Asserting NETCONF capabilities. Configuration types. Locking configurations, commits. NETCONF data stores. Netconf-console. RESTCONF differences from NETCONF. URI construction. Postman. More XML and JSON. Git and configuration versions. Hands on: Nornir and Jinja2. Exploring available models, NETCONF filters. Using postman. Python error handling and debugging Context handlers, try, assert, logging, pdb, pytest, unit testing, chatgpt. Hands on: Writing code with each of the error handling methods, investigating what happens on an error. Use chatgpt to debug your code. Python Automation Testing Testing and validation. pyATS, Genie. Testbed file. Genie parse, genie learn, genie diff. Genie conf, Genie ops, Genie SDK, Genie harness. Xpresso. Hands on: Using Genie for state comparisons of the network. Network analysis Batfish, pybatfish, configuration analysis, analysing routing, analysing ACLs. Pandas. Pandas dataframe. Filtering and selecting values of interest. Hands on: Use Batfish to analyse network snapshots, find network adjacencies, flow path analysis. Network observability Suzieq, using docker, using as a package. Sqpoller, suzieq-gui, suzieq-cli, sq-rest-server. Namespaces and seeing devices, network state and Asserts. Time based analysis, snapshots and changes. Hands on: Suzieq: Gathering data from the network, analysing data from the network. Network state assertion. Telemetry gRPC, gNMI. CAP, GET, SET. Subscriptions. Model Driven telemetry. Hands on: Analysing telemetry data with Python. Concurrency asyncio, threads, processes. Nornir concurrency. Scrapli and netmiko concurrency. Hands on: Multiple SSH connections to devices at same time. Scarpli asyncio.

Decision Making and Problem Solving (In-Person) We may live in an era of fast technology and increasing reliance upon automation, but our human abilities to think critically, make careful decisions, and solve nuanced problems are more important than ever. Our personal lives depend on those things, and so do the lives of our organizations. Since business is now conducted at remarkable speeds, we put our organizations at great risk daily when we have weak competencies with decision-making and problem-solving. Decisions and solutions that are executed impulsively and without structured approaches can create more problems or make existing ones worse! This course aims to help participants improve their skills so they can execute well and add value to the workplace. Learners will experience multiple decision-making and problem-solving models, tools, and techniques meant for the real world. They will learn how to align their growing toolboxes with the right situational contexts so that they can transfer that skill to the workplace. They will also discover how indecision, cognitive bias, and default thought processes can create obstacles to effective decision-making and problem-solving. What you will Learn Recognize the importance of making a sound decision in a timely manner Infer types of cognitive biases and obstacles that impact decision-making Separate facts, requirements, ideas, and perceptions when making a decision or solving problems Apply structured decision-making and problem-solving approaches Conduct cause and effect and Force Field analyses Evaluate alternative solution methods using various techniques Analyze real world situations to determine the best aligned decision-making and problem-solving models, tools, and techniques Implement decision-making and problem-solving models, tools, and techniques Getting Started Foundation Concepts Contextualizing decisiveness and problem-solving Discriminating between decisiveness and problem-solving Understanding Decision-Making Decision-making challenges and impacts Key drivers of good decision-making Thought processes and obstacles Knowledge, skills, and abilities (KSAs) Decision-Making Models and Supporting Tools Decision-making models, tools, and guidelines Tools to evaluate alternatives Translating requirements into action Problem-Solving Defining the problem Problem-solving models Cause and effect analysis Quick hit vs. innovative problem-solving Summary and Next Steps Course summary Personal action plan