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Explore the Basics of Artificial IntelligenceUndoubtedly, Artificial Intelligence (AI) stands as today's most revolutionary and widespread field across our economy, media, industries, and society as a whole. This beginner-friendly course delves into the foundational aspects of the swiftly advancing world of AI. Dive into the world of AI with hands-on exercises, no coding knowledge necessary, and unravel the buzzwords that often surround it, including machine learning, deep learning, explainable AI, and others like natural language processing and generative models.
Overview of AI ApplicationsWe'll journey through AI's practical applications in daily life, understand the AI methods at work, discover the pathways for organizations to integrate AI, and discuss the essential insights, challenges, and societal impact arising from AI's relentless advancement.
What is Artificial Intelligence (AI)?Free
Get 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.What is Artificial Intelligence?50 xpThe potential of Artificial Intelligence50 xpAn AI workflow in medicine100 xpWhat AI can -and cannot- do?50 xpPredictive vs Generative AI100 xpAI for smarter traffic lights50 xpWhat can AI do for your friend?50 xpAreas and related disciplines of AI50 xpUnderstanding AI subdomains100 xpA smart farming scenario!50 xpIdentifying the subdomains of AI50 xp
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
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
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 wine quality50 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
Iván Palomares CarrascosaSee More
Senior Data Science & AI Manager
Dr. Iván Palomares is a dedicated expert in Education and Artificial Intelligence, with significant experience in directing postgraduate programs in machine learning and data science for top international business schools. As an acclaimed academic leader, he has taught AI-related subjects at prestigious universities and conferences worldwide. His research focuses on personalized recommender systems, reinforcement learning, and generative AI, with notable contributions to applied AI projects in the industry.
Don’t just take our word for it
- William M.1 day
It has great didactic exercises.
- Jimoh B.19 days
Gained immense knowledge on AI. Will like to proceed to more futher lesson if given advantage
- Naveen B.20 days
- Freddy P.22 days
datacamp is an excellent learning tool. The lessons were clear and straightforward, with hands on exercises to give the student the opportunity to try. It has an AI feature that helps the student to understand how to do the exercise. Highly recommended
- HASSAN A.26 days
I just want to say thank you Data camp for every thing now I am a graduate I want to become a junior Data analyst your work is the best but I wish if you help the graduates because the graduate has no money