Introduction to AI and Machine Learning on GC - Português

Google Cloud Training

Neste curso, apresentamos os recursos de IA e machine learning (ML) no Google Cloud que criam projetos de IA generativa e preditiva. Vamos conhecer as tecnologias, os produtos e as ferramentas disponíveis em todo o ciclo de vida de dados à IA, o que inclui os fundamentos dessa tecnologia, o desenvolvimento e as soluções dela. O objetivo é ajudar cientistas de dados, desenvolvedores de IA e engenheiros de ML a aprimorar habilidades e o conhecimento com experiências de aprendizado envolventes e exercícios práticos.

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What's inside

Syllabus

Introdução

Neste módulo, falamos sobre o objetivo do curso de ajudar os participantes a navegar pelas ferramentas de desenvolvimento de IA no Google Cloud. Ele também contém uma visão geral da estrutura do curso, que é baseada em um framework de IA de três camadas: fundamentos, desenvolvimento e soluções.

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to AI and Machine Learning on GC - Português with these activities:

Review key AI concepts

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Refresh your understanding of foundational concepts in artificial intelligence, machine learning, and data science to prepare for the course.

Browse courses on AI Fundamentals

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Review introductory materials on AI and ML
Take practice quizzes or solve coding challenges to test your understanding

Explore Google Cloud AI Platform resources

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Familiarize yourself with the tools and services available on Google Cloud AI Platform, the platform used in the course.

Browse courses on Google Cloud Platform

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Follow tutorials on setting up and using Google Cloud AI Platform
Explore documentation and case studies to learn best practices

Solve coding challenges on Kaggle

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Practice applying machine learning algorithms and techniques by solving coding challenges on Kaggle, a popular platform for data science competitions.

Browse courses on Python

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Choose a relevant Kaggle competition or dataset
Develop and train machine learning models using Python
Submit your solutions and compare them with others

Four other activities

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Follow AI-focused MOOCs or online courses

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Supplement your learning by enrolling in additional MOOCs or online courses focused on artificial intelligence, machine learning, or data science.

Browse courses on AI

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Identify relevant MOOCs or online courses offered by platforms like Coursera or edX
Complete the courses at your own pace, following the provided lectures and completing assignments

Mentor junior AI enthusiasts or students

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Reinforce your understanding by mentoring junior AI enthusiasts or students. This will help you solidify your knowledge and develop effective communication skills.

Browse courses on Mentoring

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Identify opportunities to mentor others, such as through online forums or local meetups
Provide guidance and support to junior AI enthusiasts

Build a small AI project using Google Cloud AI services

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Apply your learning by building a small AI project using the services and tools offered by Google Cloud AI Platform. This will reinforce your understanding and provide hands-on experience.

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Define the scope and goals of your project
Choose appropriate Google Cloud AI services for your project
Develop and train your AI model
Deploy and evaluate your project

Participate in AI hackathons or challenges

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Challenge yourself and test your skills by participating in AI hackathons or competitions. This will provide a practical and collaborative environment to apply your learning.

Browse courses on Kaggle Competitions

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Identify relevant AI hackathons or challenges
Form a team or participate individually
Develop innovative AI solutions to address the challenge

Career center

Learners who complete Introduction to AI and Machine Learning on GC - Português will develop knowledge and skills that may be useful to these careers: