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• Technologie

  Intermédiaire

  Build & Evaluate Real-Time Object Detectors

  Build & Evaluate Real-Time Object Detectors is an intermediate hands-on course for ML engineers who need to deploy fast, accurate object detectors under real-world constraints. When accuracy falls short of KPIs, or FPS drops below target, you need the skills to diagnose metrics, recommend improvements, and evaluate whether a real-time pipeline meets requirements. You'll learn how to compute and interpret detection metrics like mAP and APsmall, identify causes of underperformance, and propose targeted improvements. Then you'll analyze a complete real-time detection pipeline using models like YOLOv8 and trackers like DeepSORT, and evaluate it against throughput requirements such as 25 FPS at 720p. Through short videos, practical readings, analysis-based labs, and a final graded assessment, you will develop the skills to evaluate detectors, recommend optimizations, and assess whether solutions meet real-time demands.

  Langue d’origine

  Voir les détails: Build & Evaluate Real-Time Object Detectors
• Technologie

  Débutant

  In the Trenches: Security Operations Center

  Cyber-attacks, breaches, and incidents continue to grow. The sophistication and complexity of these attacks continue to evolve. More than ever organizations need to plan, prepare, and defend against a potential cyber incident. Security Operation Centers (SOCs) act as an organization's front-line defense against cyber incidents. SOC analyst accomplishes this by monitoring and responding to network and host anomalies, performing an in-depth analysis of suspicious events, and when necessary, aiding in forensic investigations. This course is designed to be a primer for anyone planning on taking the EC-Council CSA course. We will discuss the structure, organization, and general daily activities of SOC analysts. We will also look at several defensive tools including SEIMs, IDS, and IPS. We will talk about event monitoring and vulnerability management. Finally, we will talk about what to expect when an incident happens.

  Langue d’origine

  Voir les détails: In the Trenches: Security Operations Center
• Technologie

  Intermédiaire

  Relational Databases

  Master the art of relational databases with this comprehensive course, designed to equip you with essential skills for database modeling, design, and implementation. You’ll start with core concepts like Entity-Relationship (ER) modeling, progressing through relational algebra and foundational SQL commands for creating, manipulating, and querying databases. The course covers advanced topics, including normalization, storage, and indexing techniques, providing a solid understanding of Relational Database Management Systems (RDBMS). You'll delve into critical areas such as transaction processing, concurrency control, database recovery, query optimization, and database security. With a balance of theory and hands-on online practical sessions, you'll gain the confidence to implement relational databases for real-world applications. This course is ideal for anyone interested in database management, from software engineers to data scientists. By the end, you'll have the knowledge and skills to tackle challenging database assignments and excel in a dynamic field.

  Langue d’origine

  Voir les détails: Relational Databases
• Technologie

  Débutant

  SQL for Data Science with R

  Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist. The purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL and R languages. It is also intended to get you started with performing SQL access in a data science environment. The emphasis in this course is on hands-on and practical learning. As such, you will work with real databases, real data science tools, and real-world datasets. Through a series of hands-on labs, you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and R. No prior knowledge of databases, SQL, R, or programming is required. Anyone can audit this course at no charge. If you choose to take this course and earn the Coursera course certificate, you can also earn an IBM digital badge upon successful completion of the course.

  Langue d’origine

  900 min

  Voir les détails: SQL for Data Science with R
• Technologie

  Intermédiaire

  Google Cloud Platform Administration

  Mastering Google Cloud Platform administration is essential for modern IT professionals responsible for building, securing, and optimizing cloud environments. This course provides a structured path to understanding the core components of GCP and their impact on scalable, resilient infrastructure in today’s cloud-driven world. Through step-by-step lessons, you will develop practical skills in compute, storage, networking, containers, identity, and operations. You’ll learn not just what each GCP service does, but how to configure, monitor, and manage them to support real organizational workloads. The course stands out by blending foundational theory with hands-on exploration, ensuring that every concept connects directly to real administrative tasks and operational workflows. You’ll gain both conceptual clarity and job-ready experience. This course is ideal for aspiring or current cloud administrators, IT support professionals, and system engineers looking to build or validate GCP skills. Basic familiarity with general IT or cloud concepts is helpful but not required.

  Langue d’origine

  Voir les détails: Google Cloud Platform Administration
• Technologie

  Débutant

  Keamanan IT: Pertahanan terhadap Kejahatan Digital

  Pelatihan ini membahas berbagai macam konsep, alat, dan praktik terbaik dari keamanan IT. Di sini akan diperkenalkan ancaman dan serangan dan berbagai cara kemunculan mereka. Kami akan memberi Anda beberapa latar belakang algoritma enkripsi dan bagaimana mereka digunakan untuk melindungi data. Kemudian, kami akan membahas lebih jauh tentang “tiga A”dari keamanan informasi: authentication, authorization, accounting. Kami juga akan membahas solusi keamanan jaringan, mulai dari firewall hingga opsi enkripsi Wifi. Pelatihan ini diakhiri dengan menyatukan semua elemen ini ke dalam arsitektur keamanan yang berlapis-lapis dan mendalam, diikuti dengan rekomendasi tentang cara mengintegrasikan budaya keamanan ke dalam organisasi atau tim Anda. Di akhir pelatihan ini, Anda akan memahami: ● bagaimana cara kerja berbagai algoritma dan teknik enkripsi beserta semua manfaat dan keterbatasannya. ● berbagai sistem dan jenis autentikasi. ● perbedaan antara autentikasi dan otorisasi. ● bagaimana mengevaluasi potensi risiko dan merekomendasikan cara untuk mengurangi risiko. ● praktik baik untuk mengamankan jaringan. ● bagaimana membantu orang lain untuk memahami konsep keamanan dan melindungi diri mereka sendiri.

  Langue d’origine

  Voir les détails: Keamanan IT: Pertahanan terhadap Kejahatan Digital
• Technologie

  Intermédiaire

  AWS Machine Learning Engineer Associate Exam Prep

  This course prepares learners for the AWS Certified Machine Learning Engineer – Associate certification while building practical skills in implementing and operationalizing machine learning workloads on AWS. Through a combination of clear theory, architectural diagrams, and hands-on demonstrations, the course explains how machine learning solutions are designed, deployed, and managed in real-world cloud environments. Learners will explore the key concepts required for building production-ready ML systems, including data preparation, model training, deployment strategies, and monitoring ML workloads in AWS. The course also introduces the AWS services and tools commonly used to develop scalable and reliable machine learning solutions. By the end of the course, learners will understand how to implement and manage ML workflows on AWS and will be well prepared to take the AWS Certified Machine Learning Engineer – Associate exam.

  Langue d’origine

  720 min

  Voir les détails: AWS Machine Learning Engineer Associate Exam Prep
• Technologie

  Tous les niveaux

  3ds Max Architecture: Model, Texture & Light

  By the end of this course, learners will be able to model detailed furniture, apply realistic textures, and configure advanced lighting setups in Autodesk 3ds Max. Through a structured approach, you will construct essential assets such as TV units, tables, lamps, and floor details, while applying UVW mapping, Multi/Sub-Object materials, and PBR texturing workflows to bring surfaces to life. You will also correct UV distortions, simulate realistic glass, and configure skylight and photometric lighting to achieve photorealistic renders. This course uniquely blends hands-on modeling and texturing with professional lighting practices, ensuring you gain end-to-end expertise in architectural visualization. Whether you are a beginner aspiring to enter the 3D industry or an intermediate learner refining your skills, this course provides a step-by-step roadmap to creating portfolio-ready interior scenes. By completing it, you will not only master essential 3ds Max tools but also develop the confidence to design, texture, and render realistic interiors that meet industry standards.

  Langue d’origine

  Voir les détails: 3ds Max Architecture: Model, Texture & Light
• Technologie

  Intermédiaire

  Learn Next.js

  Learn to build web apps with Next.js, the world's most popular full-stack framework. You'll cover routing, layouts, data fetching, optimizing assets, and more, while building PrintForge, a site for 3D printing enthusiasts. Next.js is a powerful React framework for building modern web applications. It combines blazing performance, flexible data fetching, and built-in optimizations. With features including server-side rendering (SSR), static site generation (SSG), API routes, and dynamic routing, Next.js makes it easier than ever to create sleek, scalable, and high-performing apps—without the headache. As with all Scrimba courses, we’ll be getting very hands-on with the code as we build a project called PrintForge—a site for browsing and sharing STL files which are used in 3D printing. This course covers everything you need to get started with Next.js. Whether you're a front-end developer looking to expand your skill set or a fullstack developer aiming to streamline your workflow, this course will enable you to build high-performance web apps that users (and search engines) love.

  Langue d’origine

  Voir les détails: Learn Next.js
• Affaires

  Débutant

  Marketing digital para E-commerce

  El curso de Digital Marketing for E-commerce te permitirá conocer las claves principales para desarrollar una estrategia de marketing digital aplicada a tu proyecto online. De esta forma podrás generar mayor visibilidad a tu propuesta y conseguir mejores resultados. El objetivo del curso es brindarte las nociones básicas para armar una estrategia digital que puedas aplicar a tu proyecto, para hacerlo crecer y se pueda mantener en el tiempo. Luego de aprobado el curso tendrás una noción más clara sobre lo que implica el marketing digital y todas las oportunidades que nos brinda para llevar a cabo cualquier tipo de emprendimiento. Asimismo, tendrás un conocimiento general sobre las principales herramientas que puedes utilizar para el crecimiento de tus proyectos.

  Langue d’origine

  Voir les détails: Marketing digital para E-commerce
• Technologie

  Intermédiaire

  Analyze Customer Reviews with Gemini Using SQL

  This is a self-paced lab that takes place in the Google Cloud console. Learn how to use BigQuery Machine Learning with remote models (Gemini) to analyze customer reviews using SQL.

  Langue d’origine

  90 min

  Voir les détails: Analyze Customer Reviews with Gemini Using SQL
• Technologie

  Débutant

  Data Science Fundamentals Part 2: Unit 1

  This course teaches how to ask the right questions and extract meaningful insights from complex datasets. Through hands-on lessons, you’ll master industry-standard Python libraries such as matplotlib and seaborn, enabling you to create compelling visualizations like histograms, boxplots, and scatter plots. You'll learn to uncover patterns, relationships, and correlations within your data, and develop a critical eye for interpreting results. You'll also learn about the pitfalls of data interpretation, including the impact of mixed effects and the nuances of Simpson’s Paradox, ensuring you can navigate and communicate findings with confidence. Whether you’re a beginner or looking to deepen your analytical toolkit, this course will empower you to transform raw data into actionable knowledge.

  Langue d’origine

  Voir les détails: Data Science Fundamentals Part 2: Unit 1