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AI in Government

AI CERTs Team

AI in Government/Public Sector certification gives policymakers, analysts, and public sector professionals the knowledge and tools to use AI responsibly. You’ll explore governance frameworks, ethics, and real-world applications-from predictive analytics and fraud detection to healthcare, education, and public safety.

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AI in Government/Public Sector certification gives policymakers, analysts, and public sector professionals the knowledge and tools to use AI responsibly. You’ll explore governance frameworks, ethics, and real-world applications-from predictive analytics and fraud detection to healthcare, education, and public safety.

Alongside strategy, you’ll get hands-on with tools like IBM Watson Government, Microsoft Azure Government, Palantir Gotham, and the Accela Civic Platform. The program blends flexible online learning with projects and case studies, leading to an online proctored certification exam and an industry-recognized digital badge.

If you want to understand how AI can reshape public institutions and play a role in shaping that future-this course is your place to start.

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What's inside

Syllabus

Module 1: Introduction to Artificial Intelligence (AI) in Government
This module covers a quick summary of what the certification is going to cover from start to finish. Here is the brief about the structure of the overall certification: Each of our certifications follows a consistent, multimodal structure to provide a flexible learning experience. The content is available across four formats: eBooks: In-depth written material for focused learning. Audiobooks: Audio version of the eBook, perfect for learning on the go. Podcasts: Engaging audio content to reinforce key concepts. Videos: Modular video chunks, each covering a specific topic. The names of the eBooks, Audiobooks, and Podcasts are the same, ensuring you can seamlessly switch between formats without losing track of the content. Videos are divided into bite-sized modules for easier consumption, and all content across these mediums is consistent, so no matter which format you choose, the information remains the same. This gives you the freedom to learn in the way that works best for you.
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Learners who complete AI in Government will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in AI in Government.
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The Oxford Handbook of Public Policy
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This handbook provides a comprehensive overview of the field of public policy, with chapters on a wide range of topics, from theoretical foundations to specific policy areas.
The Oxford Handbook of Public Policy (Oxford...
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By Michael Moran - The Oxford Handbook of Public...
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Artificial Intelligence
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This is widely considered the most comprehensive and up-to-date textbook on AI, covering theoretical foundations and practical applications. It's an indispensable resource for gaining a broad understanding and is commonly used as a textbook in undergraduate and graduate programs. While dense, it's a valuable reference throughout one's AI journey.
Artificial Intelligence: A Modern Approach
Hardcover
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Fraud Analytics Using Descriptive, Predictive, and...
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Establishes the quantitative blueprint for modern fraud detection systems, combining supervised classification under extreme class imbalance, unsupervised anomaly scoring, Benford's Law, and bipartite social network guilt-by-association propagation across insurance, tax, and credit card datasets.
Fraud Analytics Using Descriptive, Predictive, and...
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Fraud Analytics Using Descriptive, Predictive, and...
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Practical Fraud Prevention
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Delivers a field-tested playbook from veteran fraud fighters on stopping account takeover (ATO), detecting synthetic identities, mitigating chargebacks, engineering velocity rules, and deploying real-time ML pipelines in SQL and Python.
Practical Fraud Prevention: Fraud and AML Analytics...
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Practical Fraud Prevention
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Predictive Analytics
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Provides a broad and accessible introduction to predictive analytics for a general audience. It focuses on the real-world applications and implications of predictive analytics across various industries, without getting bogged down in technical details. It's an excellent starting point for anyone looking to understand the fundamental concepts and the impact of predictive analytics.
Predictive Analytics: The Power to Predict Who Will...
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Predictive Analytics: The Power to Predict Who Will...
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Predictive Analytics: The Power to Predict Who Will...
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(Pусский) Просчитать будущее: Кто кликнет, купит, соврёт или...
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AI Governance Handbook
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Offers a strong foundation in AI governance, covering use cases, regulations, controls, and vendor tools. It provides a framework for AI governance, including a 13-step wheel detailing activities, roles, and responsibilities. The book is an indispensable reference for understanding and implementing AI governance, particularly in mitigating bias and emphasizing human oversight.
AI Governance Handbook: A Practical Guide for...
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Reinforcement Learning, second edition
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This is the foundational text for reinforcement learning, a key area of AI focused on how agents can learn to make decisions through trial and error. It's essential for those specializing in this area and is used widely in both academia and industry.
Reinforcement Learning, second edition: An...
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Reinforcement Learning, second edition: An...
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Forensic Analytics
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Authored by the leading pioneer of Benford's Law in forensic auditing, demonstrating how digit-frequency tests, relative size factor scores, duplicate payment screens, and time-series outlier detection expose occupational embezzlement and vendor billing schemes.
Forensic Analytics: Methods and Techniques for...
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Forensic Analytics: Methods and Techniques for...
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Forensic Analytics: Methods and Techniques for...
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Human Compatible
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Written by a leading AI researcher, this book addresses the critical challenge of ensuring AI systems are beneficial to humans. It's highly relevant to contemporary discussions on AI alignment and ethics, offering a deep dive into a pressing issue. It's a valuable read for students and professionals alike interested in the future direction of AI development.
Human Compatible: Artificial Intelligence and the...
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(Deutsch) Human Compatible: Künstliche Intelligenz und wie...
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Human Compatible (Lead Title)
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Principles of Fraud Examination
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Created by the founder of the Association of Certified Fraud Examiners (ACFE), this foundational text introduces the Fraud Triangle, asset misappropriation taxonomies, skimming and larceny schemes, corruption red flags, and evidence-preserving interview methodologies.
Principles of Fraud Examination
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Principles of Fraud Examination
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Algorithmic Rule By Law
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This handbook provides a comprehensive overview of the legal, ethical, and policy implications of AI and algorithmic systems. It covers theoretical insights and practical examples, exploring legal and policy instruments governing AI with a focus on Europe. This valuable reference for those interested in the multi-disciplinary aspects of AI governance.
Algorithmic Rule By Law: How Algorithmic Regulation...
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Algorithmic Rule By Law: How Algorithmic Regulation...
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The Master Algorithm
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Offers a fantastic overview of the different paradigms of machine learning, making complex ideas accessible to a broader audience. It's excellent for gaining a broad understanding of the various approaches within AI and how they relate. It provides valuable context for anyone starting in the field.
The Master Algorithm: How the Quest for the...
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The Master Algorithm: How the Quest for the...
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(Türkçe) Master algoritma : yapay ögrenme hayatimizi nasil...
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Master algorithm (Korean Edition)
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The Elements of Statistical Learning
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This classic graduate-level textbook covering the statistical foundations of machine learning. It's quite rigorous and requires a strong mathematical background, making it suitable for those looking to deepen their understanding at an advanced level. It serves as a key reference in the field.
The Elements of Statistical Learning: Data Mining,...
Hardcover
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Pattern Recognition and Machine Learning
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Another highly regarded textbook for graduate students, this book provides a comprehensive introduction to pattern recognition and machine learning from a probabilistic perspective. It's a foundational text for those pursuing advanced studies in the field.
Pattern Recognition and Machine Learning...
Hardcover
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Pattern Recognition and Machine Learning...
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Pattern Recognition and Machine Learning (text...
Unknown Binding
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Agendas, Alternatives, and Public Policies
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Provides a comprehensive overview of the public policy process, from agenda-setting to implementation and evaluation. It valuable resource for students and practitioners alike.
Agendas, Alternatives, and Public Policies, 2nd...
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[(Agendas, Alternatives, and Public Policies,...
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Health Policy Analysis
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Provides a practical guide to policy analysis, with step-by-step instructions on how to conduct a policy analysis. It valuable resource for students and practitioners alike.
Health Policy Analysis: An Interdisciplinary...
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Health Policy Analysis: An Interdisciplinary...
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Health Policy Analysis
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Health Policy Analysis and Navigate Scenario for...
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Health Policy Analysis with the Navigate 2 Scenario...
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Applied Predictive Modeling
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Offers a comprehensive guide to the predictive modeling process, covering data preprocessing, model tuning, and various regression and classification techniques. It emphasizes practical application with numerous real-life examples and includes extensive R code. This valuable resource for those looking to deepen their understanding and gain hands-on experience.
Applied Predictive Modeling
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Applied Predictive Modeling
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Data Science for Business
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Focuses on the business perspective of data science and data mining, explaining how to approach business problems with data-analytic thinking. It covers key concepts like classification, prediction, andकडील. It's highly relevant for understanding how predictive analytics can be applied to create business value.
Data Science for Business: What You Need to Know...
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Data Science for Business: What You Need to Know...
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Financial Shenanigans
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Teaches forensic analysts and auditors how to spot premature revenue recognition, fictitious inventory, capitalized operating expenses, and cash-flow manipulation hidden inside corporate financial statements before major collapses occur.
Financial Shenanigans: How to Detect Accounting...
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Financial Shenanigans: How to Detect Accounting...
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Financial Shenanigans
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Financial Shenanigans, Fourth Edition: How to...
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Digital Soul
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Explores the ethical implications of AI from a philosophical perspective. It discusses topics such as the nature of consciousness, free will, and moral responsibility in the context of AI. It thought-provoking read for anyone interested in the deeper ethical questions surrounding AI.
Digital Soul: Intelligent Machines and Human Values
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Digital Soul: Intelligent Machines and Human Values
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Superintelligence
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Explores the potential risks of AI and the need to develop strategies to mitigate them. It discusses the concept of superintelligence and the potential for AI to surpass human intelligence. It thought-provoking read for anyone interested in the future of AI and its impact on humanity.
Superintelligence: Paths, Dangers, Strategies
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Superintelligence, Algorithms to Live By, The...
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(Français) Superintelligence
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Superintelligence: Paths, Dangers, Strategies
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(Français) Superintelligence (Quai des Sciences) (French...
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Life 3.0
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Explores the potential impact of AI on human society. It discusses the challenges and opportunities that AI presents and the need for humans to adapt to a world in which AI is increasingly prevalent. It must-read for anyone interested in the future of AI and its impact on humanity.
Life 3.0: Being Human in the Age of Artificial...
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(Español) Vida 3.0/Life 3.0: Being Human in the Age of...
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Our Mathematical Universe & Life 3.0 Being Human in...
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Life 3.0 (Lead Title)
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(Deutsch) Leben 3.0: Mensch sein im Zeitalter Künstlicher...
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(中文) Life 3.0: being human in the age of artificial...
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Life 3.0: mens zijn in het tijdperk van kunstmatige...
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Machine Learning for Financial Risk Management with...
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Implements end-to-end Python workflows for credit default and financial fraud modeling, addressing skewed precision-recall optimization, SMOTE oversampling, isolation forests, and autoencoder reconstruction-error anomaly thresholds.
Machine Learning for Financial Risk Management with...
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Machine Learning for Financial Risk Management with...
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Life 3. 0
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Another excellent book exploring the long-term future of AI and its potential impact on humanity. Tegmark, a physicist, discusses a wide range of possibilities and challenges, from the near-term societal changes to the ultimate fate of consciousness. It's a great book for sparking discussion and deeper thinking about AI's future.
Life 3.0: Being Human in the Age of Artificial...
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Moral Machines
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Explores the ethical challenges of creating intelligent machines and the need to build moral reasoning into AI systems. It's highly relevant to contemporary discussions on AI ethics and is valuable for anyone considering the societal and philosophical implications of AI.
Moral Machines: Teaching Robots Right from Wrong
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Responsible AI
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Guide for business leaders on developing and implementing a robust and responsible AI strategy within their organizations. It outlines three core pillars: people, process, and technology, and provides insight on the technical and commercial potential of ethics in AI. This book is particularly useful for professionals seeking practical guidance on AI governance implementation.
Responsible AI: Implement an Ethical Approach in...
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Responsible AI: Implement an Ethical Approach in...
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The Atlas of AI
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Drawing on over a decade of research, this book reveals the hidden costs of AI technologies, from environmental damage to widening inequality and shifts in governance. It takes readers through the physical infrastructure of AI, highlighting how these systems can reinforce existing power dynamics. is crucial for understanding the broader societal and political context of AI governance and is highly relevant to contemporary discussions.
Atlas of AI: Power, Politics, and the Planetary...
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Atlas of AI: Power, Politics, and the Planetary...
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Modeling Techniques in Predictive Analytics
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Focuses on modeling techniques for predictive analytics, specifically addressing business problems and providing solutions using R. It combines business context with quantitative tools, making it relevant for analysts and managers. It covers various business cases and analytical methods.
Modeling Techniques in Predictive Analytics:...
Kindle Edition
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Building Digital Government Strategies
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Explores the complexities of digital transformation within the public sector from a management perspective. It provides theoretical and empirical insights into technology-enabled change in government, addressing both the opportunities and challenges. It is highly relevant for understanding contemporary public sector issues.
Building Digital Government Strategies: Principles...
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Building Digital Government Strategies: Principles...
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Forecasting: principles and practice
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Focuses specifically on time series forecasting, a key area within predictive analytics. It covers a wide range of forecasting methods, from simple approaches to more advanced models, and provides practical guidance on applying them. It's an excellent resource for those interested in predicting future values based on historical data.
Forecasting: Principles and Practice
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Forecasting: principles and practice
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Forecasting: principles and practice
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Corporate Fraud Handbook
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Draws on thousands of real-world ACFE case investigations to catalog check tampering, payroll ghost-employee schemes, procurement kickbacks, and expense reimbursement fraud alongside targeted internal controls.
Corporate Fraud Handbook: Prevention and Detection
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Corporate Fraud Handbook: Prevention and Detection
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Corporate Fraud Handbook: Prevention and Detection
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Corporate Fraud Handbook: Prevention and Detection
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Corporate Fraud Handbook: Prevention and Detection
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Responsible AI
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Provides practical guidance and best practices for creating trustworthy AI systems. It covers multi-level governance mechanisms, design patterns, and software engineering techniques for operationalizing responsible AI, making it highly relevant for technical professionals involved in AI development and deployment.
Responsible AI: Best Practices for Creating...
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Responsible AI: Best Practices for Creating...
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Introducing Public Administration
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Known for its engaging writing style, this textbook offers a conceptual foundation in public administration while incorporating important trends and contemporary issues. It uses examples from various disciplines and modern culture to help students critically think about the field. is ideal for undergraduate and graduate students new to public administration.
Introducing Public Administration
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Introducing Public Administration
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Introducing Public Administration (8th Edition)
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Introducing Public Administration (7th Edition)
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MySearchLab with eText -- Standalone Access Card --...
Misc. Supplies
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Introducing Public Administration
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When Digital Done Right
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Focusing specifically on digital transformation in the public sector, this book offers practical frameworks and approaches for leading technological change in government organizations. It addresses the unique challenges and pitfalls of digitalization in the public sector.
When Digital Done Right: Leading Digital...
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When Digital Done Right: Leading Digital...
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Policy Paradox
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Challenges traditional rational models of policy analysis, presenting policy making as a political process driven by ideas and values. It widely cited and influential work that helps readers understand the complexities and messiness of policy decisions. It is suitable for both students and professionals seeking a deeper understanding of policy dynamics.
Policy Paradox: The Art of Political Decision Making
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Applied Artificial Intelligence
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This handbook offers practical guidance on how AI can be applied within a business context. It's highly relevant for working professionals looking to leverage AI in their organizations. It provides use cases and strategies for implementing AI solutions.
Applied Artificial Intelligence: A Handbook For...
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Outlier Analysis
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Provides the definitive algorithmic treatment of proximity-based, density-based (LOF), high-dimensional subspace, time-series, and streaming anomaly detection methods that form the mathematical backbone of zero-day fraud detection.
Outlier Analysis
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Outlier Analysis
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Outlier Analysis
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Outlier Analysis
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Graph Neural Networks
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Equips ML engineers to build Graph Convolutional Networks, GraphSAGE, and Graph Attention Networks in PyTorch Geometric for classifying illicit cryptocurrency transactions, laundering networks, and collusive banking fraud rings.
Hands-On Graph Neural Networks using Python:...
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Hands-On Graph Neural Networks Using Python:...
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AI Superpowers
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Provides a compelling look at the global landscape of AI development, focusing on the competition between the US and China. It's highly relevant to contemporary discussions about the geopolitical implications of AI and must-read for understanding the current state and future trajectory of AI globally. It is more valuable as additional reading for global context.
AI Superpowers (International Edition)
Paperback
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ETHICS IN PUBLIC ADMINISTRATION
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Provides a timely collection of articles, essays, and case studies examining ethical challenges in public administration. It explores the foundations of ethics, the relationship between ethics and law, and the ethical dimensions of decision-making. It valuable resource for understanding the critical role of ethics in the public sector.
Ethics in Public Administration: Understanding...
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Public Administration
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Provides a broad introduction to the field of public administration, covering essential concepts and theories through the use of case studies. It is commonly used as a textbook in academic institutions and offers a solid foundation for understanding the public sector. It is particularly helpful for gaining background knowledge.
Preface to Public Administration: A Search for...
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Public Policy Analysis
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Takes a decision-centric approach to public policy analysis, helping readers to understand how decisions are made and how to evaluate their effectiveness.
Public Policy Analysis
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Public Policy Analysis (5th Edition)
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Public Policy Analysis: An Introduction (4th...
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Public Policy Analysis: An Integrated Approach
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Medicaid And The Limits of State Health Reform
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Provides a detailed analysis of five successful public policy initiatives, offering lessons for how to design and implement effective policies.
Medicaid And The Limits of State Health Reform
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Public Finance and Public Policy
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Provides a comprehensive overview of the relationship between public policy and the economy, focusing on the impact of policies on economic growth, inflation, and unemployment.
Public Finance and Public Policy
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Public Finance and Public Policy
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Public Finance and Public Policy
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Public Finance and Public Policy Fourth Edition
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Public Finance and Public Policy
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Public Finance and Public Policy
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By Jonathan Gruber - Public Finance and Public...
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Loose-Leaf Version for Public Finance and Public...
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Finance and Public Policy (Korean Edition)
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Public Finance and Public Policy & Wall Street...
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Public Finance and Public Policy
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Social Policy in the United States
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Provides a historical and sociological analysis of the welfare state in the United States, focusing on the role of political and economic factors in shaping welfare policy.
Protecting Soldiers and Mothers: The Political...
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The Politics of Social Policy in the United States
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Social Policy in the United States
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Protecting Soldiers and Mothers: Political Origins...
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Social Policy in the United States: Future...
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The Politics of Social Policy in the United States...
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Business Data Science: Combining Machine Learning...
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Bridges the gap between data science and business, focusing on how predictive analytics and machine learning can be applied to solve business problems and make better decisions. It's particularly relevant for those interested in the business applications of predictive analytics.
Business Data Science: Combining Machine Learning...
Hardcover
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Business Data Science: Combining Machine Learning...
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Predictive Analytics for the Modern Enterprise
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Published recently, this book focuses on the practical implementation and operationalization of predictive analytics within a business context. It covers the necessary tools, frameworks, and best practices for deploying predictive models in an enterprise setting, making it highly relevant for professionals.
Predictive Analytics for the Modern Enterprise: A...
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Predictive Analytics for the Modern Enterprise
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Prediction Machines, Updated and Expanded
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Provides a clear framework for understanding the economic implications of AI, focusing on how it lowers the cost of prediction. It's particularly useful for business-oriented audiences and professionals seeking to understand AI's impact on industries and strategy. It offers a unique perspective beyond the technical aspects.
Prediction Machines, Updated and Expanded: The...
Hardcover
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Prediction Machines, Updated and Expanded: The...
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Imbalanced Learning
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Addresses the central statistical hurdle in automated fraud detection—learning from datasets where fraudulent transactions represent less than 0.1% of traffic—via cost-sensitive ensembles, focal loss, and active learning.
Imbalanced Learning
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Imbalanced Learning
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Effort
Self-Paced: 8 hours of content
Level
Introductory
Via
Coursera
Institution
AI CERTs
Instructor
AI CERTs Team
Language
English
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