Inteligencia artificial FLEX 101 AI Like ChatGPT por un científico informático 16W3
Qué está incluido
16 lecciones pregrabadas
16 semanas
de apoyo docente1 año de acceso
al contenidoTarea
Homework assignments will vary each week and may include individual or group projects, reading, or online research. Students should expect to spend approximately 30 mins per week on homework assignments.Evaluación
Learner progress will be assessed through regular feedback on homework assignments and a final project, which will be evaluated based on its functionality and creativity.Experiencia de clase
Embark on a 16-week journey into the world of Artificial Intelligence (AI) with this comprehensive FLEX class designed for young learners eager to understand and harness the power of AI technologies. Through a mix of practical applications, engaging content, and hands-on projects, students will explore the foundational aspects of AI, including machine learning, natural language processing, and computer vision. They will also gain experience in creating AI programs using Python, setting them on a path towards becoming proficient in the technologies shaping our future. Weekly Breakdown: Week 1: Introduction to AI: Dive into AI basics, exploring its definition, history, and the technologies driving its development. Week 2: Automation with AI: Discover how AI automates tasks, enhancing efficiency across various industries. Week 3: Time Management with AI: Learn how AI aids in scheduling and prioritizing tasks for better time management. Week 4: Budgeting with AI: Explore AI's role in financial planning and investment decision-making. Week 5: Improving Habits with AI: Understand how AI monitors and helps maintain healthy lifestyle habits. Week 6: Enhancing Creativity with AI: Delve into AI's ability to foster creativity and generate innovative ideas. Week 7: AI Setup for Various Tasks: Gain practical skills in configuring AI for different applications. Week 8: Natural Language Processing & Chatbots: Explore the basics of NLP and the use of chatbots in customer service. Week 9: Speech Recognition & Voice Assistants: Learn about speech recognition and the functionality of voice assistants. Week 10: Predictive Analytics & Machine Learning: Understand how machine learning algorithms predict outcomes and automate decisions. Week 11: Personalizing User Experiences with AI: Discover how AI tailors user experiences in various sectors. Week 12: AI in Education: Examine AI's impact on educational methodologies and outcomes. Week 13: Enhancing Task Setting with ChatGPT: Learn how ChatGPT can improve task setting skills. Week 14: Life Hacks using ChatGPT: Discover practical life hacks with the help of ChatGPT. Week 15: Homework Help through ChatGPT: Explore how ChatGPT can assist in homework and learning. Week 16: Integrating ChatGPT in Daily Life: Gain insights into incorporating ChatGPT for everyday tasks. Course Flexibility: The flexible schedule of this FLEX class allows students to engage with the content at their own pace, making learning both fun and adaptable to their schedules. Weekly lessons are posted, accompanied by pre-recorded videos, homework assignments, and projects that deepen understanding of each topic. Personalized feedback and step-by-step guidance ensure students not only learn but also apply AI concepts effectively. Instructor Expertise: Our instructor, Jonathan, brings over 20 years of teaching experience, a Bachelor's degree in Computer Science, and a passion for conversational English. With a background in martial arts, circus performances, financial management, and entrepreneurship, Jonathan's diverse skills enrich the learning experience, making him the ideal guide on your child's AI learning journey. Special Concessions: We believe in making education accessible. Discounts are available for families needing financial assistance. Please reach out to discuss how we can make this course work for your child's learning goals and budget. Embark on the fascinating world of AI with this FLEX class, where creativity meets technology, and every learner is empowered to explore the limits of what they can achieve.
Metas de aprendizaje
Students will learn the basic concepts of Artificial Intelligence, including machine learning, natural language processing, and computer vision. Define artificial intelligence and explain its various applications.
Understand how machine learning algorithms work and be able to write simple code to implement them.
Apply the basic concepts of AI to solve problems in various domains.
Understand the ethical issues and concerns related to the development and use of AI.
Programa de estudios
16 Lecciones
más de 16 semanasLección 1:
Class 1: Introduction to Artificial IntelligenceIntroduction to AI
Class 1: Introduction to Artificial IntelligenceExplore AI basics, history, types of AI algorithms, and technologies.
Lección 2:
Class 2: Understanding ChatbotsAutomation with AI
Class 2: Understanding ChatbotsLearn how AI automates tasks across industries.
Lección 3:
Class 3: How Chatbots LearnTime Management with AI
Class 3: How Chatbots LearnDiscover AI tools for efficient task prioritization and scheduling.
Lección 4:
Class 4: Natural Language ProcessingBudgeting with AI
Class 4: Natural Language ProcessingUse AI for financial management and investment decisions.
Otros detalles
Orientación para padres
Please note that we will not be using third-party tools. We will be are only using resources in a screen-share by the teacher in the class.
Recursos externos
Los estudiantes no necesitarán utilizar ninguna aplicación o sitio web más allá de las herramientas estándar de Outschool.
Fuentes
"Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig - This is a classic textbook on AI that provides a comprehensive introduction to the field.
"Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville - This is a popular textbook on deep learning, which is a subset of AI that involves using neural networks to learn from data.
"Machine Learning Yearning" by Andrew Ng - This is a practical guide to machine learning that is designed for beginners who want to learn how to build and deploy machine learning systems.
Experiencia y certificaciones del docente
1 el profesor tiene una licenciatura
Licenciatura en Ciencia desde Brighton University UK
The course will be taught by a highly experienced computer scientist who holds a Bachelor's degree in Computer Science with Honours and has over 20 years of teaching experience in a variety of topics for learners aged 8-80. The teacher also has expertise in teaching conversational English to both children and adults worldwide. Additionally, the teacher has founded three successful companies before the age of 30 and understands the intricacies of financial management, making them an ideal guide for learners seeking to identify and seize opportunities to make money and manage their finances.
Reseñas
Curso a su propio ritmo
25 US$
semanalmente o 399 US$ por todo el contenido16 lecciones pregrabadas
16 semanas de apoyo docente
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1 año de acceso al contenido
Completado por 2 alumnos
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Edades: 15-18