{"product_id":"ai-foundations-technologies-applications-practice-grade-10-12","title":"AI Foundations Technologies, Applications \u0026 Practice Grade 10-12","description":"\u003cp\u003e\u003cstrong\u003eExplore the technologies behind modern Artificial Intelligence!\u003c\/strong\u003e Our \u003cstrong\u003e“AI Foundations: Technologies, Applications \u0026amp; Practice”\u003c\/strong\u003e course introduces learners to the key technologies that power modern AI systems. Discover how machine learning, deep learning, generative AI, large language models (LLMs), natural language processing (NLP), data science, cloud technologies, cybersecurity, and MLOps work together to build, deploy, and maintain AI solutions.\u003c\/p\u003e\n\n\u003cp\u003eThrough practical case studies and assessments, learners connect technical concepts with real-world scenarios, explore how AI systems are developed and used, and build a structured understanding of the modern AI ecosystem.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eWhy choose our course:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eExplore the AI landscape:\u003c\/strong\u003e Understand what artificial intelligence is, discover major AI model families, and learn how different technologies address different tasks.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUnderstand machine learning and deep learning:\u003c\/strong\u003e Explore core concepts, examine how neural networks learn from data, and investigate the basic process of training an AI model.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDiscover generative AI, LLMs, and NLP:\u003c\/strong\u003e Learn how generative AI creates content, how language models process text, and how prompting and Retrieval-Augmented Generation (RAG) support AI applications.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eConnect data science with cloud technologies:\u003c\/strong\u003e Explore data pipelines, understand the role of data in AI projects, and examine how cloud platforms support data processing and AI workloads.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eExplore cybersecurity and MLOps:\u003c\/strong\u003e Understand key security considerations and discover how AI and machine learning systems can be deployed, monitored, and maintained responsibly.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eApply knowledge through practical case studies:\u003c\/strong\u003e Work through realistic scenarios, analyse technical choices, complete assessments, and develop the skills needed to engage with modern AI tools and technologies more effectively.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eCourse Syllabus\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eModule 1: Opening \u0026amp; AI Landscape\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eReading: Opening \u0026amp; AI Landscape\u003c\/li\u003e\n\u003cli\u003eVideo: Opening \u0026amp; AI Landscape — What AI Is and Major Model Families\u003c\/li\u003e\n\u003cli\u003eCase Study 1: Mapping AI Landscapes to a Use Case\u003c\/li\u003e\n\u003cli\u003eAssessment\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eModule 2: ML \u0026amp; DL Foundations\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eReading: ML \u0026amp; DL Foundations\u003c\/li\u003e\n\u003cli\u003eVideo: ML \u0026amp; DL Foundations — Core Concepts\u003c\/li\u003e\n\u003cli\u003eCase Study 2: Training a Toy Neural Network\u003c\/li\u003e\n\u003cli\u003eAssessment\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eModule 3: GenAI, LLMs \u0026amp; NLP\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eReading: GenAI, LLMs \u0026amp; NLP\u003c\/li\u003e\n\u003cli\u003eVideo: GenAI, LLMs \u0026amp; NLP — Prompting \u0026amp; RAG\u003c\/li\u003e\n\u003cli\u003eCase Study 3: Prompting a Simple Task\u003c\/li\u003e\n\u003cli\u003eAssessment\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eModule 4: Data Science \u0026amp; Cloud\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eReading: Data Science \u0026amp; Cloud\u003c\/li\u003e\n\u003cli\u003eVideo: Data Science \u0026amp; Cloud — Pipelines \u0026amp; Cloud Choices\u003c\/li\u003e\n\u003cli\u003eCase Study 4: Cloud-Enhanced Data Pipeline\u003c\/li\u003e\n\u003cli\u003eAssessment\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eModule 5: Cybersecurity \u0026amp; MLOps\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eReading: Cybersecurity \u0026amp; MLOps\u003c\/li\u003e\n\u003cli\u003eVideo: Cybersecurity \u0026amp; MLOps — Secure Deployments\u003c\/li\u003e\n\u003cli\u003eCase Study 5: Securing an ML Deployment\u003c\/li\u003e\n\u003cli\u003eAssessment\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eFinal Exam\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCase Studies\u003c\/li\u003e\n\u003cli\u003eAssessment\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eGeneral Information\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe course combines readings, instructional videos, practical case studies, and assessments. Each module introduces key AI technologies and concepts and provides opportunities to apply them to practical scenarios.\u003c\/p\u003e\n\n\u003cp\u003eThe learning sequence moves from an overview of the AI landscape and the foundations of machine learning and deep learning to generative AI, language technologies, data science, cloud infrastructure, cybersecurity, and MLOps. This structure helps learners understand how these technologies connect and contribute to the development and deployment of modern AI systems.\u003c\/p\u003e\n\n\u003cp\u003ePractical case studies encourage learners to connect theory with real-world applications, analyse technical scenarios, consider implementation choices, and develop a clearer understanding of how AI technologies are used in practice.\u003c\/p\u003e\n\n\u003cp\u003eThe course concludes with a Final Exam that combines case-study tasks and assessment questions to review and consolidate the key concepts covered throughout the course.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eEstimated duration:\u003c\/strong\u003e Approximately 12 hours.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eRecommended pace:\u003c\/strong\u003e 3–5 hours per week.\u003c\/p\u003e\n\u003cp\u003eLearners can complete the course at their own pace.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eExpected Learning Outcomes\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eBy the end of this course, learners will be able to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDescribe the modern AI landscape and identify major AI model families and their typical applications.\u003c\/li\u003e\n\u003cli\u003eExplain the basic principles of machine learning and deep learning and describe how neural networks learn from data.\u003c\/li\u003e\n\u003cli\u003eDescribe the role of generative AI, large language models (LLMs), and natural language processing (NLP) in modern AI applications.\u003c\/li\u003e\n\u003cli\u003eExplain the basic principles of prompting and describe how Retrieval-Augmented Generation (RAG) can connect language models with external information sources.\u003c\/li\u003e\n\u003cli\u003eIdentify the role of data science and data pipelines in preparing and processing data for AI systems.\u003c\/li\u003e\n\u003cli\u003eExplain how cloud technologies support data processing, AI workloads, and the deployment of AI applications.\u003c\/li\u003e\n\u003cli\u003eRecognize key cybersecurity considerations when developing, using, and deploying AI and machine learning systems.\u003c\/li\u003e\n\u003cli\u003eDescribe the purpose of MLOps and explain how it supports the deployment, monitoring, and maintenance of machine learning systems.\u003c\/li\u003e\n\u003cli\u003eAnalyse practical AI scenarios, compare possible technical approaches, and identify relevant technologies for a given use case.\u003c\/li\u003e\n\u003cli\u003eApply course concepts to case studies and demonstrate an integrated understanding of how modern AI technologies work together.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eBy completing the course, learners develop a broad foundation in modern AI technologies and a clearer understanding of how AI systems are built, used, deployed, and maintained. They gain practical experience analysing AI-related scenarios and build the technical awareness needed for further learning in Artificial Intelligence, Machine Learning, Data Science, cloud technologies, cybersecurity, and related fields.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eRecommended Skills Prior to Taking This Course\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eLearners should have:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBasic computer and digital skills.\u003c\/li\u003e\n\u003cli\u003eExperience using web browsers and online learning platforms.\u003c\/li\u003e\n\u003cli\u003eThe ability to read and follow technical instructions.\u003c\/li\u003e\n\u003cli\u003eBasic familiarity with data, charts, and tables.\u003c\/li\u003e\n\u003cli\u003eA willingness to explore technical AI concepts and learn how modern technologies work.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eBasic programming or Python knowledge is helpful but not required.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eRecommended Technology\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eA computer or laptop with a reliable internet connection and a current version of Chrome, Edge, Firefox, or Safari is recommended to access the course materials, videos, case studies, and assessments.\u003c\/p\u003e","brand":"United University","offers":[{"title":"English","offer_id":62578456658060,"sku":"course-v1:UUU+AI_Foundations__Gr.10-12+v2","price":0.0,"currency_code":"USD","in_stock":true},{"title":"Ukrainian","offer_id":62578456690828,"sku":"course-v1:UUU+AI_Foundations_Gr.10-12+v1","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0637\/8831\/8860\/files\/AIT2026_AIIntensiveSummerSchoolGrade10-12.jpg?v=1791810165","url":"https:\/\/uni-books.store\/products\/ai-foundations-technologies-applications-practice-grade-10-12","provider":"UNITED University Online Store","version":"1.0","type":"link"}