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2026 PMP Practice Exam: 180 Questions with Explanations
Worried the PMP exam will throw scenario questions and earned-value math at you that you have never seen before? This course removes that fear. You get 180 realistic, exam-style questions written for the 2026 PMP Examination Content Outline (ECO) — the version PMI uses for exams on or after 9 July 2026 — so you practice exactly what you will be tested on.Here is what makes this different: every single answer option comes with an explanation. You do not just learn that B is correct — you learn why A, C and D are wrong. That is how you internalise the PMI mindset and the "best answer among good answers" logic that trips up most candidates.You will train the way the real exam works: three full, timed 60-question simulations that mirror the exam's domain weighting (People 33%, Process 41%, Business Environment 26%), plus three domain-focused practice sets so you can drill your weak area. You will solve every PMP calculation step by step — CPI, SPI, EAC, ETC, TCPI, PERT and EMV — and practice the scenario "what should the project manager do FIRST or NEXT?" questions across predictive, agile and hybrid contexts (the 2026 exam is roughly 60% agile and hybrid). The new 2026 emphasis on AI, sustainability, governance and value delivery is fully covered.By the end you will know your real readiness, your weak domains, and your timing — and you will walk into the exam room having already seen the question styles. Start your first simulation today and pass with confidence.

Business Architecture for AI Agents: TOGAF® + BPMN
Launched June 11, 2026 95% of AI pilots produce zero measurable P L impact.Not because the models are bad. Not because the budgets are too small. Because organizations are layering AI on top of broken processes and broken processes don't get fixed by making them faster.The McKinsey 2025 study on ~2,000 organizations made it unambiguous: the top 6% of AI performers were three times more likely to have redesigned their workflows before deploying AI. Redesign first. Automate second. Everyone else is burning budget.In 2 hours, this course gives you the method the 5% use and shows it working on a real process, end to end.You'll see how three disciplines combine into one repeatable approach:TOGAF Business Architecture — the language to map capabilities, value streams, and where AI actually belongsBPMN 2.0 — the rigorous notation to model processes that can be executed, not just drawnAgentic AI — how to integrate AI agents as first-class process participants, with human-in-the-loop checkpoints and governed orchestrationThe course is built around a recursive live demonstration: you'll watch the method applied to the process of process modeling itself proving it works on a real workflow, not a sanitized textbook case.By the end, you'll be able to:Diagnose why an AI initiative is likely to fail before it's deployedRecognize the TOGAF artifacts that map a business to AI-readinessRead an executable BPMN process with AI agents in the lanesMake the case to leadership for redesign-before-automateWho it's for: Enterprise architects, business analysts, AI project leads, and consultants who are tired of watching pilots die at proof-of-concept.

Blockchain Technology in Climate Change and Sustainability
Blockchain Technology in Climate Change and SustainabilityBlockchain is one of the most disrupting digital technologies finding new applications across all sectors of the economy.With governments and corporates across the world realising the value in blockchain, we decided, as part of our Climate Change series, to create a course that covers practical application of blockchain technologies in climate change and sustainability.In this course we cover common misconceptions about blockchain technology and explain in plain language how it works and why it has become such a significant breakthrough. We talk about the key features and benefits of blockchain and how these features enable solutions in climate adaptation and mitigation, insurance, energy trading, climate finance, carbon markets, supply chain tracking, corporate reporting and much more. We will give you a brief overview of decentralised autonomous organisations (DAOs) and look at several Climate DAOs and their initiatives.For this course we invited the global authority on this subject, the Director General at Blockchain & Climate institute, Alastair Marke. We also interviewed Thomas Duong, the CEO and Co-Founder of The Green Projects, to provide an example of blockchain application for forestry carbon offsets, which are used to finance the reforestation and afforestation projects (this material was added to Blockchain applications in Agriculture, Forestry and Land Use lesson).This course has been designed for both ESG and Climate professionals, but also for climate-conscious leaders, managers, enterpreneurs, IT professionals, management consultants and anyone else who is interested to explore opportunities and developments in blockchain technologies, and has passion for climate action.I hope you will enjoy this course. Feel free to contact me with any feedback.Julia MariasovaThis course is part of the "

Python Data Visualization: Dashboards with Plotly & Dash
This is a hands-on, project-based course designed to help you master Plotly and Dash, two of Python's most popular packages for creating interactive visuals, dashboards and web applications.We'll start by introducing the core components of a Dash application, review basic front-end and back-end elements, and demonstrate how to tie everything together to create a simple, interactive web app.From there we'll explore a variety of Plotly data analysis and visualization tools, including line charts, scatterplots, histograms and maps. We'll apply basic formatting options like layouts and axis labels, add context to our visuals using annotations and reference lines, then bring our data to life with interactive elements like dropdown menus, checklists, sliders, date pickers, and more.Last but not least we'll use Dash to build and customize a web-based dashboard, using tools like markdown, HTML components styles, themes, grids, tabs, and more. We'll also introduce some advanced topics like data tables, conditional and chained callbacks, cross-filters, and app deployment options.Throughout the course you'll play the role of a Data Analyst for Maveluxe Travel, a high-end agency that helps customers find flights and resorts based on their travel preferences. Your task? Use Python to create interactive visuals and dashboards to help Maveluxe's travel agents best support their customers.COURSE OUTLINE:Intro to Plotly DashIntroduce the Plotly Dash libraries, and cover the key steps and components for creating a basic Dash application with interactive Plotly visualsPlotly Figures Chart TypesDive into the Plotly library for data analysis and visualization, and use it to build and

From Means to Medians: Tools for Statistical Decision Making
Course Description:Are you ready to make faster, smarter, and more confident decisions using real-world data — even when your data doesn't follow the "textbook rules"?Welcome to From Means to Medians: Tools for Statistical Decision MakingIn this course, you’ll master the practical application of both parametric and nonparametric statistical tools. Whether you're working with product testing, quality assurance, operations management, medical research, or survey data, you'll learn how to choose the right tool for the job — and apply it immediately using Microsoft Excel.Unlike traditional statistics courses that bog you down in heavy math, this course emphasizes real understanding, real examples, and real decisions.You'll get everything you need to succeed:Real-life examples from materials testing, education research, medical testing, manufacturing, psychology, and moreHands-on Excel templates (yours to keep)Glossary of TerminologyPractice exercises to apply what you've learnedLIFETIME ACCESS to all course materials and future updatesQ A access to industry-leading professionalsWho This Course Is For:This course is ideal for professionals who work with data but don't have time for deep theory:Quality EngineersReliability EngineersManufacturing EngineersProcess Improvement LeadersData Analysts and ScientistsMarket Researchers and UX ResearchersClinical Researchers and BiostatisticiansProject Managers and Risk AnalystsGraduate Students and Early Career ResearchersIf you need to decide whether your measuremen

Professional Diploma in Business Models Development
Welcome to course Professional Diploma in Business Models Development by MTF InstituteCourse focus: Entrepreneurship and Business course: Business Models of startups, planning of business model of your startup, examples of business models of startups.That course is part of Program about Entrepreneurship and BusinessThis course focused on practical examples of business models from different industriesand to general approaches of business models developmentCourse provided by MTF Institute of Management, Technology and FinanceMTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business professional hybrid (on-campus and online) education at areas: Business Administration, Science Technology, Banking Finance. MTF R D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things. MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.MTF is present in 208 countries and has been chosen by more than 380,000 students.Course Author: Igor DmitrievDigital Transformation and Banking ExpertEducation:MBA, The Boston UniversityMaster of Science at Engineering (Technical) Management,The State University of New York at BuffaloMaster of Science at Informatics and Economics,The Saint Petersburg State University of Finance and EconomicsSix Sigma Black BeltExperience:Expert at Banking ( 18 years), FinTech Digital (
