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Course Description
Explore the basics of Artificial Intelligence
AI is transforming our economy, media, industries, and society. Designed for beginners with no coding knowledge required, gain a straightforward introduction to the world of AI.You’ll demystify common AI buzzwords—machine learning, deep learning, generative AI, etc.—in a way that is easy to understand and apply.
Overview of AI applications
We'll journey through AI's practical applications in daily life, discover how organizations can integrate AI, and discuss the societal impact arising from AI's relentless advancement. We’ll explore also tasks that AI can solve, from helping run traffic more smoothly to optimizing booking systems.Upon completion, you'll have a comprehensive understanding of AI's capabilities and its influence on society. The videos contain live transcripts you can reveal by clicking "Show transcript" at the bottom left of the videos.The course glossary, promotional material and detailed learning objectives can be found on the right in the resources section.To obtain CPE credits you need to complete the course and reach a score of 70% on the qualified assessment. You can navigate to the assessment by clicking on the CPE credits callout on the right.
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What is Artificial Intelligence (AI)?
FreeGet started with your journey into AI! Artificial Intelligence has rapidly shifted from a purely scientific subject to an umbrella field whose applications and uses are countless as of today, be it in business, industry, or simply as part of our daily lives. You will learn what is AI, what types of problems can be solved using AI, and what are its current limitations. You will also gain a broad understanding of the subareas within AI and its related disciplines.
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Tasks AI can solve
What are the core functions of AI systems and the possibilities each of its areas has to offer? Where does the data that fuels AI systems come from, and how do techniques like machine learning make use of data to solve a variety of problems? This chapter answers these questions and more, unveiling how different forms of AI can acquire data, learn from the data, and interact with its surroundings- be it the physical or digital environment.
Algorithms and AI systems demystified50 xpInside a pizza AI system100 xpUnmasking a hotel booking AI system50 xpAcquiring data50 xpThe AI and Internet-of-Things (IoT) symbiosis50 xpStructured or unstructured?100 xpLearning from data50 xpTraining and classifying with penguins50 xpThe unsupervised intruder50 xpDeep Learning is here to stay100 xpInteracting with the Environment50 xpLearning from customer reviews50 xpRobots, vision and natural language mix-up100 xpThe True-False challenge of things AI can do100 xp - 3
Harnessing AI in Organizations
Get ready to plunge into the exciting world of AI in business and enterprise! This chapter uncovers the fundamental concepts, guidelines, and best practices to build or become an AI-driven organization. Whether it is for equipping your products, services, and projects with a touch of intelligence, or revolutionizing operational processes within your organization, by the end of this chapter, you will understand the essential elements to embrace this technology: from culture to data and infrastructure, to building teams of talented AI professionals. You'll also learn about challenges that may appear along the way and examples of success stories from big companies that learned to make AI a central aspect of their brand.
Establishing an AI culture50 xpFour ingredients to AI-driven organizations100 xpHome, secured home50 xpData strategy, resources, and people50 xpInfrastructure dilemmas50 xpThe "zen" of MLOps100 xpTeam building!100 xpIs your deployed AI system successful?50 xpPerformance stories100 xpAn academic Proof-of-Concept (PoC)50 xpChallenges and success stories50 xpWays to foster an AI culture50 xpPaola and the fashion project100 xp - 4
The human side of AI
As our thrilling AI journey comes to an end, we delve into the profound connection between AI and its impact on humanity and society. We will explore subjects like AI democratization and responsible AI, encompassing ethics, interpretability, fairness, and safety – all crucial aspects for cultivating AI systems that positively influence our lives. Lastly, we cast our gaze towards the horizon, outlining the exciting prospects and challenges AI presents in shaping a sustainable future.
Democratizing Artificial Intelligence50 xpBest practices for AI democratization100 xpOpening the Open Data doors50 xpExplainability and interpretability50 xpA tree inside the white-box50 xpExplaining university admissions50 xpUnboxing the SHAP50 xpSocial challenges: ethics, fairness and privacy50 xpData sharing for AI progress100 xpBiased or unbiased behavior?50 xpThe biased vehicle50 xpSocial challenges: the future of AI50 xpThe thousand faces of sustainable AI100 xpPaola and the human side of AI100 xpOne journey ends, another begins50 xp
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Iván P.C.Senior Data Science & AI Manager
Dr. Iván Palomares is passionate about education and AI. He has taught AI and Machine Learning at top universities, business schools, global conferences, and summer schools. His research spans personalized recommender systems, reinforcement learning, and generative AI, with contributions to industry projects. As an academic leader, Iván has directed and designed postgraduate programs in machine learning, analytics, and data science for international business schools.
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