딥 러닝 전문화의 네 번째 과정에서는 컴퓨터 비전이 어떻게 발전해 왔는지 이해하고 자율 주행, 얼굴 인식, 방사선 이미지 읽기 등과 같은 흥미로운 애플리케이션에 익숙해질 것입니다.
마지막에는 Residual Networks와 같은 최근 파생을 포함하여 컨볼루션 신경망을 구축할 수 있습니다. 시각적 감지 및 인식 작업에 컨볼루션 네트워크를 적용합니다. Neural Style Transfer를 사용하여 아트 작품을 생성하고 이러한 알고리즘을 다양한 이미지, 비디오 및 기타 2D 또는 3D 데이터에 적용합니다.
딥 러닝 전문화는 딥 러닝의 기능, 도전 과제 및 결과를 이해하고 첨단 AI 기술 개발에 참여할 수 있도록 준비하는 데 유용한 기본 프로그램입니다. 기계 학습을 업무에 적용하고, 기술 경력의 수준을 높이고, AI 세계에서 결정적인 단계를 밟을 수 있는 지식과 기술을 얻을 수 있는 경로를 제공합니다.
Transform workplace frustration into productivity mastery! This Short Course was created to help project management professionals accomplish systematic problem resolution within Asana. By completing this course, you'll be able to confidently troubleshoot notification overload, recover missing tasks, and restore archived projects using proven strategies.
By the end of this course, you will be able to:
Identify common problems users might face within Asana (Remember)
Use Asana's help center to resolve simulated problems or user queries (Apply)
This course is unique because it combines hands-on troubleshooting with AI-integrated problem-solving techniques that prepare you for real workplace scenarios.
To be successful in this project, you should have a background in basic Asana navigation and project management fundamentals.
This course is designed for SQL beginners to review SQL statements, including creating tables, adding columns, and modifying tables. We'll look at using alter statements and learners will practice using DDL and DML statements completing exercises.
Learn how to create inclusive, user-friendly designs that meet accessibility standards and reach every audience. In this course, you’ll discover how to integrate accessibility principles throughout your design process using Adobe Express. From understanding contrast, captions, and alt text to applying clear communication and respectful language, you’ll gain hands-on experience designing content that’s both true to your brand and accessible. By the end, you’ll know how to craft digital materials that are welcoming, compliant, and truly inclusive for all users.
We make economics decisions every day: what to buy, whether to work or play, what to study. We respond to markets all the time: prices influence our decisions, markets signal where to put effort, they direct firms to produce certain goods over others. Economics is all around us.
This course is an introduction to the microeconomic theory of markets: why we have them, how they work, what they accomplish. We will start with the concept of scarcity and how specialization according to comparative advantage helps us achieve more than we could alone. Next we model a marked using the tools of Supply and Demand and learn what well working markets accomplish and what their limit are. We end by exploring the impact of government intervention on perfect markets. Examples are taken from everyday life, from goods and services that we all purchase and use. We will apply the theory to current events and policy debates through weekly exercises. These will empower you to be an educated, critical thinker who can understand, analyze and evaluate market outcomes.
The Maryland Smith AI for Business Leaders course is designed for business leaders who seek to leverage predictive AI and machine learning to improve their business. The goal is to help you build a deeper appreciation for the possibilities of these exciting new technologies while recognizing their limitations and potential pitfalls. We will walk you through a series of domain driven applications. We will leverage the expertise and research prowess of Maryland Smith’s faculty to examine the role AI plays in the domains of Supply Chain, Healthcare, Finance, Marketing and People Analytics. While the domains are specific, the applicability of the concepts are broad to cover all business areas.
Real-Time Big Data Access using HBase: Boosting Performance
In the world of big data, the significant growth in both the sheer volume and variety of data has presented significant challenges. Apache HBase has emerged as a robust and scalable solution. HBase is a powerful, distributed, and scalable NoSQL database designed to handle large amounts of data while maintaining high performance.
In this introductory course, you will explore the fundamental concepts of HBase and its significance in handling real-time data processing and analysis.
Topics covered in this course include:
-Fundamentals of HBase
-Schema Design in HBase
-HBase Cluster Setup, Monitoring, and Backup
-HBase Querying and Retrieval Basics
-Advanced HBase Querying Techniques
-Batch Operations and Data Manipulation
-Data Modeling for Real-Time Applications
-Deployment Strategies for Real-Time Applications
-Scalability and Availability in Real-Time Applications
This course includes video lectures, video demonstrations, as well as hands-on application in a lab environment. By the end of this course, you will be able to design efficient HBase schemas, set up and optimize HBase clusters, perform data operations, and evaluate the proper application of HBase in real-time scenarios while considering scalability and effective deployment strategies.
Machine learning models lose accuracy over time without proper monitoring and optimization. This Short Course was created to help ML and AI professionals build robust, production-ready systems that maintain performance at scale.
By completing this course, you'll master critical MLOps skills for detecting model drift, implementing automated retraining workflows, and creating optimized ML pipelines that ensure sustained business value in production environments.
By the end of this course, you will be able to:
- Evaluate production model performance to detect and mitigate drift
- Create an automated, end-to-end machine learning pipeline for model optimization
This course is unique because it bridges the gap between model development and production operations, focusing on automation and monitoring strategies that prevent costly model failures.
To be successful in this project, you should have experience with machine learning fundamentals and Python programming.
Essential Cloud Infrastructure: Core Services em Português Brasileiro
Neste curso intensivo sob demanda, os participantes vão conhecer os serviços abrangentes e flexíveis de infraestrutura e plataforma fornecidos pelo Google Cloud, com foco no Compute Engine. Com o auxílio de videoaulas, demonstrações e laboratórios práticos, os participantes têm a chance de conhecer e implantar elementos da solução, incluindo componentes de infraestrutura, como redes, sistemas e serviços de aplicativos. O curso também aborda a implantação de soluções práticas, como chaves de criptografia fornecidas pelo cliente, gerenciamento de segurança e acesso, cotas e faturamento, além do monitoramento de recursos.
El propósito del Proyecto Final de la Programa Especializado de Éxito Profesional es que apliques a una experiencia personal los métodos y las técnicas que has aprendido en la serie de cursos, dándote una manera de comunicar tu valor a empleadores potenciales. Centrarás tus habilidades de comunicación, dirección, negociación, resolución de problemas, redacción empresarial, gestión del tiempo, finanzas, emprendimiento y gestión de proyecto en un único proyecto que demostrará tu preparación profesional.
Javascript Basics with Operators, Loops and Functions
This comprehensive JavaScript course will equip you with essential skills to build dynamic and responsive web applications. You’ll learn the fundamentals, control program flow, solve real-world problems, and manipulate the DOM to create interactive websites.
By the end of this course, you will be able to:
- Master JavaScript Fundamentals: Understand core concepts, key features, and real-world applications, including the Document Object Model (DOM).
- Control Program Flow: Use operators, control statements, loops (for, while, do-while), and switch cases to manage logic efficiently.
- Solve Practical Problems: Tackle tasks like prime numbers, Armstrong numbers, and factorials using functions and variables.
- Work with Data Structures: Organize and manipulate data effectively using arrays and objects.
- Manipulate the DOM: Create interactive web content with getElementById() and getElementByClassName().
- Build Dynamic Websites: Integrate all skills to develop responsive, real-world web applications.
Perfect for beginners aiming to master JavaScript and create engaging, interactive web experiences.
By the end of this course, learners will be able to define core concepts of Linear Regression, construct simple and multiple regression models, apply dummy variable techniques, and evaluate model performance using statistical tests. Participants will also develop the ability to optimize models through backward elimination and validate predictive accuracy on new datasets.
This course is designed to provide a step-by-step learning pathway from the fundamentals of regression equations to advanced applications in supervised machine learning with R. Learners will gain practical skills by working on real-world datasets, interpreting regression outputs, and visualizing model performance. Unlike theoretical courses, this program emphasizes hands-on practice, allowing participants to strengthen both conceptual understanding and applied expertise.
What makes this course unique is its clear progression from basic linear models to advanced optimization methods, ensuring accessibility for beginners while delivering depth for advanced learners. Whether you are a student, analyst, or professional, this course equips you with the knowledge and confidence to apply regression techniques effectively in data-driven decision-making.
