Introduction to Machine Learning and AI
Learn about machine learning fundamentals, train AI models using online tools, and explore ethical implications in this practical introductory course.
Learn about machine learning fundamentals, train AI models using online tools, and explore ethical implications in this practical introductory course.
This comprehensive course introduces participants to the fundamentals of artificial intelligence and machine learning. Students learn about different types of machine learning approaches including supervised, unsupervised, and reinforcement learning, while gaining hands-on experience training AI models using online tools. The course covers practical applications of AI from self-driving cars to age determination systems, ethical considerations in data collection, and the real-world impact of AI technologies. Through interactive sessions and practical tasks, participants develop an understanding of machine learning concepts without complex mathematics, making AI accessible to a broader audience.
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What you'll learn
Demonstrate practical implementation of machine learning models
Explain different types of machine learning and their suitable applications
Compare supervised, unsupervised, and reinforcement learning approaches
Analyze ethical considerations in machine learning and AI development
Collect and prepare data for machine learning applications
Understand the fundamentals of neural networks
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This course provides a comprehensive introduction to machine learning and artificial intelligence, covering both theoretical concepts and practical applications. Students explore the history of AI, different types of machine learning approaches, and hands-on training of AI models. The curriculum includes classification problems, data collection and preparation, neural networks, and ethical considerations in AI development. Special attention is given to making complex concepts accessible without requiring advanced mathematical knowledge, while still providing practical experience through online tools and real-world examples.
Fee Structure
Instructors
5 Courses
Technology Education Champion: Empowering Problem-Solvers Through Computing
Mac Bowley, a versatile Learning Manager at the Raspberry Pi Foundation, brings a comprehensive approach to technology education through his work developing the projects site, Computing Curriculum units, Ada content, and online courses. His extensive teaching experience spans across after-school clubs, holiday camps, enrichment days, and GCSE classrooms, making him uniquely qualified to understand diverse learning needs. Bowley's teaching philosophy centers on empowering individuals to harness technology for meaningful problem-solving, focusing on making complex concepts accessible while encouraging critical thinking about technological impact on society, ultimately transforming how learners interact with and understand technology in their daily lives.
2 Courses
AI Education Pioneer and Computing Curriculum Expert
Ben Garside serves as a Learning Manager at the Raspberry Pi Foundation bringing extensive educational experience from his 14-year career as a classroom teacher for students aged 11-18 Since joining the Foundation in 2019 he has made significant contributions to computing education through his involvement in developing The Computing Curriculum and creating online courses He has played a crucial role in producing content for Ada Computer Science and most notably leads the Experience-AI program a groundbreaking educational initiative developed in partnership with Google DeepMind His work focuses on making AI education accessible and understandable for young learners emphasizing the importance of preparing students to navigate an increasingly AI-driven world The Experience-AI program under his leadership provides comprehensive resources including lesson plans slide decks worksheets and student-facing videos designed to help teachers integrate AI and machine learning into their curriculum His expertise extends to helping educators understand and teach AI concepts regardless of their technical background demonstrating his commitment to making AI education accessible to all His approach emphasizes teaching fundamental AI concepts to help students develop critical thinking skills and make informed decisions about AI applications in their future lives His passion for AI education drives his work in preparing young people to understand and adapt to rapid technological changes while ensuring they can engage meaningfully with AI technologies
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4.5 course rating
147 ratings
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