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Ai Fundamentals Courseware Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Ai Fundamentals Courseware book. This book definitely worth reading, it is an incredibly well-written.
Author : Reinier van den Biggelaar
Publisher : Van Haren
Page : 445 pages
File Size : 45,5 Mb
Release : 2024-06-23
Category : Business & Economics
ISBN : 9789401810586
Author : Van Haren Publishing
Publisher : Van Haren Publishing
Page : 0 pages
File Size : 48,6 Mb
Release : 2024-05-29
Category : Business & Economics
ISBN : 9401810575
'The AI Fundamentals courseware offers an AI training course designed for professionals in business or government environments who want to understand the benefits and applications of AI in their work environment. This course covers topics such as data management for AI, building and assessing AI applications, ethics and trustworthiness, and organizational success factors for enabling humans and machines to work together. The course addresses key questions such as "Where does Data Management end and AI application begin?" from a management perspective. Subjects covered include the applications and benefits of AI, data and robots, predictions and algorithms, machine and deep learning, building and reviewing AI applications, data management for AI, ethics and trustworthiness, organizational success factors for helping humans and machines work together, and the future of AI. This courseware educates for three certifications within it's three-day combined program. It's also possible to cut the material in pieces for a module teaching approach. -The EXIN BCS Artificial Intelligence Essentials, testing the fundamental concepts of AI. -This AI for Business and Government certification (the AI Brevet) which was established by the Netherlands AI Coalition (NL AIC) as a standard for professionals who want to use Artificial Intelligence. -EXIN BCS Artificial Intelligence Foundation, which has a more IT-technical perspective.
Author : Lisa Dombrovskij,Jacob Boon
Publisher : Van Haren
Page : 153 pages
File Size : 45,5 Mb
Release : 2022-11-23
Category : Computers
ISBN : 9789401808392
AI For Business and Government is a standard for all professionals. 'AI For Business and Government' is a certification that can be obtained after passing the corresponding exam. This can be best be achieved by participating in an AI For Business training course. This course is aimed at generic professionals working in business or government who do not necessarily have much experience with AI, or data or IT in general. However, they do want to understand what AI is, how it can benefit or affect their business environment and how they can leverage this to their advantage. Topics covered include the benefits of AI applications, data management for AI, building and assessing an AI application, ethics, risks and reliability, and organizational success factors for enabling humans and machines to work together. ‘Where does Data Management end and AI application begin?’ The subjects covered are enumerated below, and are addressed in the course from a management perspective: · 1. The applications and benefits of AI · 2. Data, robots and definition of AI · 3. Predictions, algorithms, machine and deep learning · 4. Build and review an AI application · 5. Data management for AI · 6. Ethics and trustworthiness · 7. Organizational success factors for helping man and machine to work together · 8. The future of AI This certificate was established by the Netherlands AI Coalition (NL AIC) as a standard for professionals who want to use Artificial Intelligence (AI) in their work environment and managers who need to decide on the general application and/or use of AI. A professional will learn what AI could mean for an organization and how to organize, implement and execute it. As a result, the exam is very application-oriented.
Author : Wahbe Rezek,Fabienne Mouris
Publisher : Van Haren
Page : 105 pages
File Size : 55,7 Mb
Release : 2024-06-23
Category : Business & Economics
ISBN : 9789401810869
The course is mainly practical (applying generative AI/prompt-engineering), in action activities where you make prompts and learn best practices on Text Generative AI, while doing. Gain a comprehensive understanding of Text Generative AI and its capabilities Develop critical thinking skills to evaluate the potential of Text Generative AI in different business use cases Understanding of the architecture behind the model Master the skill of prompt engineering for effective interaction with Text Generative AI Learn how to integrate Text Generative AI into existing workflows Understand the limitations and risks associated with Text Generative AI Individuals who need a basic understanding Text Generative AI Professionals who want to learn the potential and pitfalls of Text Generative AI and how to deal with it Business Analyst. The course is mainly practical, with interactive activities where you make prompts and learn by doing. You will also get feedback and guidance from experienced instructors and peers. By the end of the course, you will be able to: • Gain a comprehensive understanding of Text Generative AI and its capabilities • Develop critical thinking skills to evaluate the potential of Text Generative AI in different business use cases • Master the skill of prompt engineering for effective interaction with Text Generative AI • Learn how to integrate Text Generative AI into existing workflows • Understand the limitations and risks associated with Text Generative AI The course is suitable for anyone who needs a basic understanding of Text Generative AI, such as: • Professionals who want to learn the potential and pitfalls of Text Generative AI and how to deal with them • Business analysts, marketers, content creators, educators, researchers, and other roles that can benefit from using Text Generative AI • Students who want to explore the field of Text Generative AI and its applications The course prepares you for the EDF Certified (Text) Generative AI Ambassador exam, which is a certification program offered by the Effective Data Foundation (EDF) and Van Haren Certify. By passing this exam, you will become a certified Text Generative AI Ambassador and gain a competitive edge in your field.
Author : Julian Sharp
Publisher : Microsoft Press
Page : 0 pages
File Size : 44,6 Mb
Release : 2021-11-22
Category : Artificial intelligence
ISBN : 0137358032
Direct from Microsoft, this Exam Ref is the official study guide for the new Microsoft AI-900 Microsoft Azure AI Fundamentals certification exam. Exam Ref AI-900 Microsoft Azure AI Fundamentals offers professional-level preparation that helps candidates maximize their exam performance and sharpen their skills on the job. It focuses on the specific areas of expertise modern IT professionals need to demonstrate real-world mastery of common machine learning (ML) and artificial intelligence (AI) workloads and how to use them in Azure.
Author : David Voss
Publisher : Unknown
Page : 57 pages
File Size : 40,7 Mb
Release : 2020-08-03
Category : Electronic
ISBN : 9798671153989
Update: 8/11/2020 The author received notice that he passed the Microsoft AI Fundamentals exam AI-900. This was the study guide he developed to prepare for the exam. David Voss, Azure AI Fundamentals AI-900, Microsoft Certification ID: 990151288 Audience This study guide follows the syllabus for the Microsoft AI Foundations exam (AI-900). More importantly, this book will help you gain the foundational knowledge needed to become an AI practitioner. You do not need a mathematical or programming background to understand the concepts in this book or to pass the AI-900 exam. About VOSS AIThe motto of VOSS.AI is "AI for All." VOSS.AI creates products and services for anyone who has an interest in learning about Artificial Intelligence. We have chosen Microsoft AI as our platform of choice because Microsoft has made a concerted effort to ensure their AI products are accessible to everyone. Study with Confidence We are committed to the integrity of the exams, as well as you as a student. This study guide does not contain any material that compromises the integrity of any Microsoft exam. All materials, including practice questions, were developed using the syllabus for the exam and thorough research of published articles. Additional Online Resources VOSS.AI provides you with additional online resources for your studies. Specifically, you can find additional study questions for the AI-900 exam. We will add new questions frequently.
Author : AMC College
Publisher : Advanced Micro Systems Sdn Bhd
Page : 74 pages
File Size : 46,7 Mb
Release : 2022-11-01
Category : Computers
ISBN : 8210379456XXX
Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Voice assistants, image recognition for face unlock in cellphones, and ML-based financial fraud detection are examples of AI software currently being used in everyday life.
Author : Andrew Hinton
Publisher : Book Bound Studios
Page : 309 pages
File Size : 42,7 Mb
Release : 2024-06-23
Category : Business & Economics
ISBN : 9781761590078
Dive into the "AI Mastery Trilogy," the ultimate collection for professionals seeking to conquer the world of artificial intelligence (AI). This 3-in-1 compendium is meticulously crafted to guide you from the foundational principles of AI to the intricate mathematical frameworks and practical coding applications that will catapult your expertise to new heights. Book 1: "AI Basics for Managers" by Andrew Hinton is your gateway to understanding and implementing AI in business. It equips managers with the knowledge to navigate the AI landscape, identify opportunities, and lead their organizations toward a future of innovation and growth. Book 2: "Essential Math for AI" demystifies the mathematical backbone of AI, offering a deep dive into the core concepts that fuel AI systems. From linear algebra to game theory, this book is a treasure trove for anyone eager to grasp the numerical and logical foundations that underpin AI's transformative power. Book 3: "AI and ML for Coders" is the hands-on manual for coders ready to harness AI and machine learning in their projects. It provides a comprehensive overview of AI and ML technologies, practical coding advice, and ethical considerations, ensuring you're well-equipped to create cutting-edge, responsible AI applications. The "AI Mastery Trilogy" is more than just a set of books; it's a comprehensive learning journey designed to empower business leaders, mathematicians, and coders alike. Whether you're looking to lead, understand, or build the future of AI, this collection is an indispensable resource for mastering the art and science of one of the most exciting fields in technology. Embrace the AI revolution and secure your copy of the "AI Mastery Trilogy" today!
Author : Albert Chun-Chen Liu,Oscar Ming Kin Law,Iain Law
Publisher : John Wiley & Sons
Page : 228 pages
File Size : 44,7 Mb
Release : 2022-09-21
Category : Computers
ISBN : 9781119858331
Understanding Artificial Intelligence Provides students across majors with a clear and accessible overview of new artificial intelligence technologies and applications Artificial intelligence (AI) is broadly defined as computers programmed to simulate the cognitive functions of the human mind. In combination with the Neural Network (NN), Big Data (BD), and the Internet of Things (IoT), artificial intelligence has transformed everyday life: self-driving cars, delivery drones, digital assistants, facial recognition devices, autonomous vacuum cleaners, and mobile navigation apps all rely on AI to perform tasks. With the rise of artificial intelligence, the job market of the near future will be radically different???many jobs will disappear, yet new jobs and opportunities will emerge. Understanding Artificial Intelligence: Fundamentals and Applications covers the fundamental concepts and key technologies of AI while exploring its impact on the future of work. Requiring no previous background in artificial intelligence, this easy-to-understand textbook addresses AI challenges in healthcare, finance, retail, manufacturing, agriculture, government, and smart city development. Each chapter includes simple computer laboratories to teach students how to develop artificial intelligence applications and integrate software and hardware for robotic development. In addition, this text: Focuses on artificial intelligence applications in different industries and sectors Traces the history of neural networks and explains popular neural network architectures Covers AI technologies, such as Machine Vision (MV), Natural Language Processing (NLP), and Unmanned Aerial Vehicles (UAV) Describes various artificial intelligence computational platforms, including Google Tensor Processing Unit (TPU) and Kneron Neural Processing Unit (NPU) Highlights the development of new artificial intelligence hardware and architectures Understanding Artificial Intelligence: Fundamentals and Applications is an excellent textbook for undergraduates in business, humanities, the arts, science, healthcare, engineering, and many other disciplines. It is also an invaluable guide for working professionals wanting to learn about the ways AI is changing their particular field.
Author : Autodesk
Publisher : Taylor & Francis
Page : 487 pages
File Size : 50,8 Mb
Release : 2012-10-12
Category : Computers
ISBN : 9781136143014
Whether this is your first experience with Combustion software or you're upgrading to take advantage of the many new features and tools, this guide will serve as your ultimate resource to this all-in-one professional compositing application. Much more than a point-and-click manual, this guide explains the principles behind the software, serving as an overview of the package and associated techniques. Written by certified Autodesk training specialists for motion graphic designers, animators, and visual effects artists, Combustion 4 Fundamentals Courseware provides expert advice for all skill levels.
Author : I. Almeida
Publisher : Now Next Later AI
Page : 267 pages
File Size : 50,6 Mb
Release : 2023-06
Category : Business & Economics
ISBN : 9780645510560
2024 Edition. Free access to the AI Academy! The perfect guide to help non-technical business leaders understand the power of AI. Completely up to date with the latest advancements in generative AI. Part of the Byte-sized Learning AI series by Now Next Later AI, these books break down complex concepts into easily digestible pieces, providing you with a solid foundation in the fundamentals of AI. More Than a Book By purchasing this book, you will also be granted free access to the AI Academy platform. There you can view free course modules, test your knowledge through quizzes, attend webinars, and engage in discussion with other readers. You will also receive free modules and 50% discount toward the enrollment in the self-paced course of the same name and enjoy video summary lessons, instructor-graded assignments, and live sessions. A course certificate will be awarded upon successful completion. AI Academy by Now Next Later AI We are the most trusted and effective learning platform dedicated to empowering leaders with the knowledge and skills needed to harness the power of AI safely and ethically. Book and Course Learning Rubric - Chapters 1-7: Understanding of AI [11%] —Demonstrated comprehension of AI's evolution, definition, applications, and comparison with human intelligence. - Chapters 8-13: Understanding of Data and Data Management [11%] — Clear understanding of the significance of big data, and strategies for data management. - Chapters 14-29: Understanding of Machine Learning [30%] — Familiarity with machine learning algorithms, different learning types, and the key steps involved in a machine learning project. - Chapters 30-35: Understanding of Deep Learning [9%] — Understanding of deep learning, its basics, and the structure and types of neural networks. - Chapters 36-40: Understanding of Model Selection and Evaluation [9%] — Ability to select and evaluate machine learning models and utilize them for decision-making. - Chapters 41-50: Understanding of Generative AI [15%] — Detailed understanding of generative AI, its value chain, models, prompt strategies, applications, opportunities, and governance challenges. Assignment: Practical Application [15%] — Ability to apply generative AI understanding to real-world business challenges, demonstrating critical thinking and strategic planning skills.
Author : Osondu Oguike
Publisher : Bentham Science Publishers
Page : 343 pages
File Size : 44,6 Mb
Release : 2021-07-14
Category : Computers
ISBN : 9781681088549
The importance of Artificial Intelligence cannot be over-emphasised in current times, where automation is already an integral part of industrial and business processes. A First Course in Artificial Intelligence is a comprehensive textbook for beginners which covers all the fundamentals of Artificial Intelligence. Seven chapters (divided into thirty-three units) introduce the student to key concepts of the discipline in simple language, including expert system, natural language processing, machine learning, machine learning applications, sensory perceptions (computer vision, tactile perception) and robotics. Each chapter provides information in separate units about relevant history, applications, algorithm and programming with relevant case studies and examples. The simplified approach to the subject enables beginners in computer science who have a basic knowledge of Java programming to easily understand the contents. The text also introduces Python programming language basics, with demonstrations of natural language processing. It also introduces readers to the Waikato Environment for Knowledge Analysis (WEKA), as a tool for machine learning. The book is suitable for students and teachers involved in introductory courses in undergraduate and diploma level courses which have appropriate modules on artificial intelligence.
Author : Wolfgang Bibel
Publisher : Unknown
Page : 313 pages
File Size : 46,8 Mb
Release : 1987
Category : Electronic
ISBN : OCLC:246744331
Author : N. Gupta,R. Mangla
Publisher : Mercury Learning and Information
Page : 332 pages
File Size : 52,5 Mb
Release : 2020-02-18
Category : Computers
ISBN : 9781683925156
Designed as a self-teaching introduction to the fundamental concepts of artificial intelligence, the book begins with its history, the Turing test, and early applications. Later chapters cover the basics of searching, game playing, and knowledge representation. Expert systems and machine learning are covered in detail, followed by separate programming chapters on Prolog and Python. The concluding chapter on artificial intelligence machines and robotics is comprehensive with numerous modern applications. Features: Covers an introduction to concepts related to AI, including searching processes, knowledge representation, machine learning, expert systems, programming, and robotics Includes separate chapters on Prolog and Python to introduce basic programming techniques in AI
Author : Alejandro Peña-Ayala
Publisher : Springer Nature
Page : 299 pages
File Size : 53,6 Mb
Release : 2023
Category : Artificial intelligence
ISBN : 9789819900268
This book describes theoretical elements, practical approaches, and specialized tools that systematically organize, characterize, and analyze big data gathered from educational affairs and settings. Moreover, the book shows several inference criteria to leverage and produce descriptive, explanatory, and predictive closures to study and understand education phenomena at in classroom and online environments. This is why diverse researchers and scholars contribute with valuable chapters to ground with well-sounded theoretical and methodological constructs in the novel field of Educational Data Science (EDS), which examines academic big data repositories, as well as to introduces systematic reviews, reveals valuable insights, and promotes its application to extend its practice. EDS as a transdisciplinary field relies on statistics, probability, machine learning, data mining, and analytics, in addition to biological, psychological, and neurological knowledge about learning science. With this in mind, the book is devoted to those that are in charge of educational management, educators, pedagogues, academics, computer technologists, researchers, and postgraduate students, who pursue to acquire a conceptual, formal, and practical landscape of how to deploy EDS to build proactive, real- time, and reactive applications that personalize education, enhance teaching, and improve learning!