Cursos de IT y software
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FreeRTOS From Ground Up™ on ARM Processors (REVISED)
RTOS : Build RealTime embedded applications with FreeRTOS. Practice on STM32 and TIVA C boards
Master AWS IoT: Build, Automate & Deploy Smart Systems
Learners will analyze IoT protocols, develop MQTT applications, configure Raspberry Pi hardware, integrate sensors, and deploy secure cloud-connected solutions using AWS IoT Core. They will also implement smart parking automation and evaluate real-time device communication across local and cloud environments. This course provides a complete, hands-on pathway for mastering end-to-end IoT solution development. Beginning with foundational IoT concepts, learners progress through Raspberry Pi setup, MQTT communication, Python scripting, sensor programming, and secure TLS-based cloud integration. A distinguishing feature of this course is its practical, project-driven approach—every concept directly contributes to building a fully functional Smart Parking System, providing learners with real-world IoT implementation experience. Learners benefit from structured modules, guided demonstrations, and incremental skill-building that mirror actual industry workflows. By completing the course, participants gain the ability to design scalable IoT architectures, integrate edge devices with cloud platforms, and automate data-driven actions using AWS Rule Engine—skills highly valued in modern IoT, embedded systems, and cloud engineering roles. This course uniquely blends hardware, software, networking, and cloud computing, making it ideal for anyone aspiring to build production-ready IoT applications.
Linux: From Beginner to System Administrator
Mastering Linux: From Beginner to System Administrator is a complete, hands-on course designed to take you from zero Linux knowledge to confident system administration skills. This course starts with Linux fundamentals, helping you understand the Linux operating system, file system structure, and essential command-line tools used by professionals every day. You’ll learn how to navigate the terminal, manage files and directories, work with permissions, and use powerful commands to monitor and control the system. As you progress, the course dives deeper into core system administration tasks such as user and group management, process and service control, disk and storage management, networking basics, and system logging. You will gain practical experience with package management, cron jobs, shell scripting, and automation to simplify repetitive tasks. Security best practices are also covered, including sudo configuration, SSH setup, and basic server hardening techniques. • Designed with real-world scenarios in mind, this course is ideal for students, IT support professionals, and aspiring Linux administrators. By the end of the course, you’ll be able to manage Linux servers confidently, troubleshoot common issues, and apply industry-relevant skills required for roles such as Linux System Administrator, DevOps Engineer, or Cloud Engineer. This training strengthens confidence through consistent guided practical.
The Ultimate Linux Bootcamp for DevOps SRE & Cloud Engineers
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This bootcamp equips you with the Linux skills needed for DevOps, SRE, and cloud engineers. Learn foundational Linux concepts, commands, system administration, and configuration techniques. The course covers Linux architecture, file permissions, networking, and cloud integration, providing a comprehensive understanding of Linux in real-world environments. You’ll progress from Linux basics to advanced topics, including user and group management, disk partitioning, and service management. The course includes hands-on practice with Linux tools, commands, and system setups across multiple environments like VirtualBox, Vagrant, and cloud platforms. Ideal for aspiring DevOps professionals, SREs, and cloud engineers, this intermediate-level course requires basic computer knowledge. By the end, you’ll be able to install Linux, manage users, configure networks, and handle disk partitions and system monitoring efficiently.
Ultimate Java + DSA + LEETCODE and Interviews Preparation
Master Java Programming with Data Structures & Algorithms (DSA) and LEETCODE Problems and Interview Preparation
Co-Management, Updates, Reporting & Troubleshooting
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you'll gain expertise in managing software updates, co-management, and reporting within your organization’s System Center Configuration Manager (SCCM) environment. You'll learn the essential steps involved in deploying and maintaining software updates, including configuring update points, managing synchronization, and handling both manual and automatic deployment strategies. Additionally, you'll explore troubleshooting techniques, tools, and strategies to ensure your systems stay optimized and secure. You'll also dive into the intricacies of reporting within SCCM, learning how to configure and manage reporting roles to maintain transparency in your infrastructure. From operational maintenance tasks to the tools needed for everyday management, this course provides a comprehensive overview to keep your systems running smoothly. The course is ideal for IT professionals and SCCM administrators who want to enhance their expertise in SCCM's core functionalities, including software updates, co-management, reporting, and troubleshooting. A basic understanding of SCCM is helpful, but this course also serves as a detailed guide for users looking to dive deeper into the system.
Databricks Generative AI Engineer Associate Exam Prep [2026]
Prep for the Databricks GenAI Engineer Exam with Instructor led Hands-On Labs and Videos
CompTIA Cloud+ CV0-003: IAM and Network Security
This course is designed to provide you with the foundational skills necessary to navigate the complexities of cloud security, a critical component of modern IT infrastructure. Through two comprehensive lessons, you will delve into the intricacies of IAM, exploring various access management types and identity provider types. Gain proficiency in credential management, from passwords to multi-factor authentication (MFA), and master the art of managing keys and secrets. In addition, you will explore Cloud Network Security, where you will learn about network segmentation, protocols, and services. Develop the ability to monitor networks effectively and implement robust security measures using design patterns and appliances. This course not only prepares you for the CompTIA certification but also equips you with practical skills to enhance your career in cloud security.
AI for System Administrators
Mastering AI for Enhanced IT Operations with Practical Examples and Real-World Applications
Transform Audio: Extract Features & Augment Models
Did you know that 80% of audio AI models fail in production due to acoustic variability they never encountered during training? This Short Course was created to help machine learning professionals accomplish robust audio processing through advanced feature extraction and data augmentation techniques. By completing this course, you'll be able to transform raw audio waveforms into machine learning-ready features using spectral and cepstral analysis, and build automated augmentation pipelines that simulate real-world acoustic conditions your models will encounter in deployment. By the end of this course, you will be able to: Apply spectral and cepstral feature extraction techniques to audio data. Create audio augmentation pipelines to improve the robustness of audio models. Apply spectral and cepstral feature extraction techniques to preprocess and analyze audio data. Design and implement audio augmentation pipelines to enhance model robustness and generalization This course is unique because it combines theoretical signal processing foundations with practical pipeline implementation, giving you both the mathematical understanding and hands-on skills to build production-ready audio ML systems. To be successful in this project, you should have a background in Python programming, basic machine learning concepts, and familiarity with audio processing libraries. This course stands out by blending core signal processing theory with hands-on pipeline implementation, giving you both the mathematical grounding and practical experience required to build production-ready audio ML systems. To succeed, you should be familiar with Python, basic ML concepts, and common audio processing tools.
The Complete SAP Joule Course 2025: From Zero to AI-Powered
Master SAP’s Next-Gen AI Assistant. Learn Joule Setup, Configuration, Automation, Security & Real-World Use Cases Across
Forecast and Validate Your Marketing Traffic
Are you making marketing decisions based on incomplete or inaccurate data? Master the essential skills that turn raw web traffic data into reliable business intelligence. This Short Course was created to help digital marketing professionals accomplish accurate traffic forecasting and bulletproof data validation. By completing this course, you'll be able to confidently predict future website performance using statistical modeling, validate your analytics data integrity, and provide media planning teams with reliable projections they can trust for budget allocation and campaign planning. By the end of this course, you will be able to: Apply regression analysis to forecast traffic trends and corroborate the impact of seasonal campaigns. Evaluate data variance between real-time analytics and historical records. This course is unique because it combines predictive analytics with practical data quality assurance, ensuring your marketing forecasts are both statistically sound and operationally reliable. To be successful in this course, you should have basic familiarity with web analytics platforms and fundamental understanding of marketing metrics.
Amazon Kiro HandsOn: Build Apps with AI Agents | Q Developer
Master AI-powered development: build apps, generate code, automate workflows & improve productivity. Q Developer Updated
AWS Security Eng. - Incident Response Planning & Execution
Learn how to plan for and execute incident response procedures in AWS cloud environments.
Complete GenAI with Java & Spring AI: LLMs, RAG, AI Agents
Build production-ready Generative AI applications with Spring AI - LLM, RAG, AI agents, Chat memory, MCP, Observability
Systems and Solutions Architect Capstone Project
Demonstrate your job-ready skills to employers in this portfolio-worthy capstone project! During this course, you’ll apply your systems and solutions architecture, stakeholder management, and cloud-native deployment skills to create a real-world enterprise architecture. As you work through the modules, you’ll apply systems and solutions architect strategies, including stakeholder engagement, requirements gathering, system design, security architecture, cloud deployment, and compliance alignment. Through hands-on labs, you’ll create project charters, UML, and ERD diagrams. You’ll design scalable cloud-native architectures with Docker and IBM Cloud/AWS, and combine enterprise data pipelines, and incorporate secure frameworks. Plus, you’ll build end-to-end process flow, CI/CD pipelines, and a phase implementation roadmap. By the end, you’ll have a comprehensive capstone project that demonstrates your expertise in systems and solutions architecture, highlighting your ability to address real organizational challenges and improve enterprise infrastructure. Enroll today to gain demonstrable experience completing a capstone project that provides valuable practical experience you can discuss in interviews!
The Complete AI & GenAI Engineer Bootcamp 2026: Zero to Hero
Become a Modern AI Engineer & Build Real-World AI Systems (GenAI + LLMs + Agents) Unlock the power of Artificial Intelligence and Generative AI by learning how to build real-world, production-ready AI systems used in today’s industry. The Problem AI Engineers are in extremely high demand, but most learners struggle to break into this field because: * AI is taught in disconnected topics (ML, DL, NLP, LLMs separately) * Many courses focus only on theory or basic tools like ChatGPT * There is no clear roadmap from beginner to advanced * Building real-world AI applications feels overwhelming Even after learning concepts, connecting everything into real systems is where most people get stuck. The Solution This course is designed as a complete, structured AI Engineer Bootcamp. Instead of teaching isolated topics, this course takes you step-by-step through a clear roadmap: Python → Machine Learning → Deep Learning → NLP → LLMs → RAG → AI Agents → Real Projects You won’t just learn AI — you will build real AI systems. What You Will Learn Foundations of AI & Python * Python for AI (NumPy, Pandas, Data Visualization) * Data analysis and EDA (Exploratory Data Analysis) * Core AI concepts and real-world applications Machine Learning (Core) * Regression, classification, clustering * Model evaluation (accuracy, precision, recall) * Overfitting vs underfitting Projects: * House Price Prediction * Spam Email Classification * Customer Segmentation Deep Learning * Neural networks and backpropagation * CNNs for image data * RNNs and LSTMs for sequences * Introduction to Transformers Natural Language Processing (NLP) * Text preprocessing * TF-IDF vs embeddings * Word embeddings and BERT Project: * Sentiment Analysis System Generative AI & LLMs * Understanding Large Language Models (LLMs) * Tokens and context windows * GPT, Claude, LLaMA differences * Open vs closed models Transformers & Hugging Face * Self-attention and transformer architecture * Encoder vs decoder * Using Hugging Face models and tokenizers Prompt Engineering * Zero-shot and few-shot prompting * Chain-of-thought reasoning * Prompt templates Build Real AI Systems Retrieval Augmented Generation (RAG) * Chunking strategies * Embeddings and similarity search * Retrieval + generation pipelines Project: * PDF Question Answering System AI Agents (LangChain & LangGraph) * Tools, memory, and planning * Single-agent and multi-agent workflows Project: * AI Research Agent Bonus Topics * Fine-tuning LLMs (LoRA, PEFT) * Computer Vision basics * Diffusion Models (Stable Diffusion) * Build UI apps using Streamlit and Gradio Hands-On Projects This is a project-based course where you will build: * EDA Notebook * Machine Learning models * NLP systems * CNN image classifier * RAG-based AI assistant * LLM chatbot * AI agent system Who This Course Is For * Developers who want to become AI Engineers * DevOps / Cloud engineers moving into AI * Students looking for a structured roadmap * Anyone interested in Generative AI and LLMs * Professionals who want hands-on AI skills By the End of This Course You will be able to: * Build end-to-end AI applications * Work with LLMs and modern AI tools * Create AI agents and automation systems * Design real-world AI solutions * Apply for roles like AI Engineer, GenAI Engineer, and ML Engineer What You Get * Complete AI Engineer Bootcamp * Hands-on real-world projects * Lifetime access and future updates * Certificate of completion Final Note AI is not the future — it’s already here. The real question is: Will you just use AI tools… or build them? Start your journey today and become a job-ready AI Engineer.
Tableau Capstone Project
The Tableau Capstone Project allows you to apply what you've learned about making data-driven decisions to real business challenges companies face every day. Effective business intelligence (BI) is crucial in decision-making and strategizing in today's data-driven business environment. This capstone project explores the utilization of Tableau, a leading data visualization tool, to enhance BI capabilities within an organization. The project will showcase how Tableau can convert raw data into actionable insights, enabling informed decision-making. This project begins by identifying key business objectives and data sources relevant to the organization's operations. You will learn about data cleaning and preparation processes to ensure data accuracy and consistency. You will use Tableau's visualization capabilities, interactive dashboards, and stories to showcase important KPIs, trends, and patterns within the data. By the end of this capstone, you'll be able to design the interactive dashboard and create an engaging story suitable to present to stakeholders. Upon completion of the course, you will have gained several Tableau business intelligence skills to include in your portfolio.
SC-500: Cloud & AI Security Engineer Exam Prep 2026
Master SC-500: Entra ID, Sentinel, XDR & GenAI Security. Pass the exam with Case Studies, Quiz & 2026 Exam Strategies.
Responsible AI for Developers: Privacy & Safety - 繁體中文
本課程涵蓋「AI 隱私權」和「AI 安全性」這兩個重要主題。我們將介紹實用的方法和工具，協助您運用 Google Cloud 產品和開放原始碼工具，導入 AI 隱私權和安全性的建議做法。
PostgreSQL Database Administration (DBA) Masterclass
Master PostgreSQL Backup, Recovery, Replication, Performance Tuning, Security, and Real-World DBA Skills
System Administration and IT Infrastructure Services
This course will transition you from working on a single computer to an entire fleet. Systems administration is the field of IT that’s responsible for maintaining reliable computers systems in a multi-user environment. In this course, you’ll learn about the infrastructure services that keep all organizations, big and small, up and running. We’ll deep dive on cloud so that you’ll understand everything from typical cloud infrastructure setups to how to manage cloud resources. You'll also learn how to manage and configure servers and how to use industry tools to manage computers, user information, and user productivity. Finally, you’ll learn how to recover your organization’s IT infrastructure in the event of a disaster. By the end of this course you’ll be able to: ● utilize best practices for choosing hardware, vendors, and services for your organization ● understand how the most common infrastructure services that keep an organization running work, and how to manage infrastructure servers ● understand how to make the most of the cloud for your organization ● manage an organization’s computers and users using the directory services, Active Directory, and OpenLDAP ● choose and manage the tools that your organization will use ● backup your organization’s data and know how to recover your IT infrastructure in the case of a disaster ● utilize systems administration knowledge to plan and improve processes for IT environments
Project Management Best Practices using Agile and Scrum
Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Master Agile and Scrum methodologies to drive successful IT project management. This course equips you with the best practices to enhance efficiency, collaboration, and adaptability in dynamic project environments. You'll explore the reasons behind IT project failures and learn how Agile principles can help overcome these challenges. Your journey begins with an introduction to Agile and Scrum, covering their philosophies, frameworks, and principles. You'll analyze real-world case studies like the Phoenix Project and CRM Project to understand common pitfalls in IT project management. Next, you'll dive into change management strategies, learning step-by-step techniques for Agile adoption, overcoming resistance, and fostering a collaborative team culture. The course then explores key Agile principles, including iterative development, communication, time management, and teamwork. You'll also address common challenges in Agile adoption, from leadership resistance to inadequate training, and discover modern leadership styles that align with Agile methodologies. Finally, you'll develop practical skills through exercises on team collaboration, project estimation, and Agile retrospectives. Designed for project managers, team leads, and professionals looking to improve their Agile expertise, this course requires a basic understanding of project management. Whether you're new to Agile or looking to refine your approach, you'll gain valuable insights to enhance your projects and leadership skills.
Mitigating Security Vulnerabilities on Google Cloud en Français
Dans ce cours en auto-formation, les participants étudient des solutions d'atténuation des attaques pouvant survenir en de nombreux points d'une infrastructure basée sur Google Cloud, telles que des attaques par déni de service distribué (DDoS) ou par hameçonnage, ou des menaces liées à la classification et à l'utilisation de contenu. Ils découvriront également Security Command Center, Cloud Logging et les journaux d'audit, ainsi que l'utilisation de Forseti pour connaître l'état de conformité global avec les stratégies de sécurité de l'organisation.
Hands-On Microsoft 365 and SharePoint Training
Microsoft 365 and SharePoint Online are transforming how modern organizations collaborate and manage information. This course is designed to help professionals harness the full power of these platforms to drive productivity, streamline workflows, and enable secure, digital-first workplaces. Through hands-on guidance and real-world scenarios, learners will explore how to configure Microsoft 365 environments, create and manage SharePoint content, and automate processes with Power Automate and Power Apps. By the end of the course, participants will be equipped to implement scalable solutions that enhance operational efficiency. What sets this course apart is its blend of strategic understanding and practical implementation. Learners won’t just study theory—they’ll apply it using best practices that solve everyday business challenges in digital collaboration and governance. This course is ideal for IT professionals, developers, and business users with foundational knowledge of Microsoft 365 and SharePoint. Whether you manage infrastructure, lead digital transformation, or develop enterprise apps, this program will help you advance your expertise.
Introduction to Large Language Models - Français
Ce cours de micro-apprentissage, qui s'adresse aux débutants, explique ce que sont les grands modèles de langage (LLM). Il inclut des cas d'utilisation et décrit comment améliorer les performances des LLM grâce au réglage des requêtes. Il présente aussi les outils Google qui vous aideront à développer votre propre application d'IA générative.
Automate with Task Lists
Work often slows down not because tasks are difficult, but because they are scattered, inconsistently written, or unclear about ownership. Automate with Task Lists is a focused, hands-on course designed to help you bring clarity, speed, and consistency to shared work using simple automation techniques. In this course, you’ll learn to state two benefits of checklists or macros (speed, consistency) and understand why these benefits matter in real team environments. You’ll then move from insight to action by learning how to insert a Task List macro and assign two action items to teammates, turning unstructured pages into clear, accountable workflows. Through realistic scenarios and practical exercises, you’ll see how Task Lists reduce repetitive updates, prevent missed steps, and make ownership visible without adding extra tools or meetings. You’ll practice structuring action items and assigning work in ways that scale as teams grow. This course is ideal for professionals with basic experience navigating shared workspaces and editing collaborative pages. By the end, you’ll be equipped to confidently introduce Task Lists into your daily work and improve how teams plan, track, and execute together.
Jira Project Configuration and Visibility
Are your Jira projects suffering from inconsistency, confusion, and a lack of clear visibility? This course, Jira Project Configuration and Visibility, is designed for IT and project professionals who want to master the art of creating clean, standardized, and highly visible Jira environments. You'll move beyond basic project setup and learn how to implement robust configurations that align with organizational governance and dramatically improve stakeholder communication. Through practical, case-driven lessons, you will learn to apply shared schemes for permissions, notifications, and issue types, ensuring every project adheres to a consistent standard. You'll also dive deep into analyzing and optimizing board configurations, tailoring swimlanes, columns, and quick filters to provide crystal-clear visibility for diverse audiences, from QA testers to executive leadership. By the end of this course, you won't just know how to configure a project; you'll know how to design a project environment that fosters clarity, efficiency, and alignment across your entire organization.
Reliable Cloud Infrastructure: Design and Process em Português Brasileiro
Este curso prepara estudantes para criar soluções altamente confiáveis e eficientes no Google Cloud usando padrões de design comprovados. Ele é uma continuação do curso "Architecting with Google Compute Engine" ou "Architecting with Google Kubernetes Engine" e exige experiência prática com as tecnologias abordadas nesses dois cursos. Com uma combinação de apresentações, atividades de design e laboratórios práticos, os participantes aprendem a definir e equilibrar requisitos técnicos e comerciais para projetar implantações do Google Cloud que sejam seguras, econômicas e altamente confiáveis e disponíveis.
生成式 AI 應用程式: 徹底改變工作方式
「生成式 AI 應用程式：徹底改變工作方式」是 Generative AI Leader 學習路徑的第四門課程。本課程將介紹 Google 的生成式 AI 應用程式,例如 Gemini for Workspace 和NotebookLM,也會引導您瞭解各種概念,像是建立基準、檢索增強生成、建構有效的提示詞,以及打造自動化工作流程等。
Optimize Agent Behavior
You’ve built your first agent—now it’s time to take it further. In this course, you’ll advance your skills by learning how to turn a basic AI agent into a sophisticated, precise assistant—applying advanced instructions, model selection, planning capabilities, and structured output patterns.
Building Linux Servers: DHCP
This course is intended for IT professionals seeking to improve their practical skills and knowledge of DHCP in network management. Participants will learn the fundamentals of DHCPv4 and DHCPv6, including installation, configuration, and management of DHCP servers. The course covers methods for automating IP address allocation, maintaining network efficiency, and supporting connectivity across various systems. It is suitable for those looking to update existing skills or broaden their technical capabilities in DHCP administration.
Optical Character Recognition (OCR) with Document AI (Python)
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to perform Optical Character Recognition using the Document AI API with Python.
Gemini for DevOps Engineers - Bahasa Indonesia
Dalam kursus ini, Anda akan mempelajari bagaimana Gemini, kolaborator yang didukung AI generatif dari Google Cloud, membantu engineer mengelola infrastruktur. Anda akan mempelajari cara memerintah Gemini untuk menemukan dan memahami log aplikasi, membuat cluster GKE, dan menyelidiki cara membuat lingkungan build. Dengan menggunakan lab interaktif, Anda akan melihat bagaimana Gemini meningkatkan alur kerja DevOps. Duet AI berganti nama menjadi Gemini, yang merupakan model generasi berikutnya dari kami.
Cybersecurity Foundations & Threat Mitigation
Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this comprehensive course, learners will gain a solid foundation in cybersecurity and threat mitigation, with a focus on practical strategies and tools used to protect organizations against various security threats. You’ll explore key concepts, techniques, and models essential for securing systems and responding effectively to potential vulnerabilities and attacks. The course is designed to equip you with the knowledge necessary to handle security challenges in today’s fast-evolving digital landscape. The journey begins with an overview of general security concepts, such as understanding security control categories and types, authentication mechanisms, and authorization models. You’ll learn how to manage access controls and the significance of multifactor authentication (MFA) and Zero Trust principles. As you progress, the course covers advanced topics like encryption solutions, digital certificates, and cryptography, offering insights into how these technologies are used to enhance system security. The next phase focuses on understanding threats, vulnerabilities, and methods of mitigation. You’ll examine various types of threat actors, including hackers and social engineers, and explore real-world attack vectors. Through detailed case studies, you will identify how to address network-based threats, removable media attacks, supply chain vulnerabilities, and software flaws. You’ll also delve into emerging risks like cloud vulnerabilities and zero-day attacks. The course concludes with practical mitigation techniques to help you defend against and recover from cyberattacks. This course is ideal for cybersecurity enthusiasts, professionals, and anyone looking to build a career in securing digital infrastructures. It’s perfect for those starting their journey in cybersecurity, as well as individuals looking to expand their knowledge of advanced threat mitigation techniques. A basic understanding of IT systems is recommended, but no prior cybersecurity experience is required. The course is designed for beginner to intermediate learners.
Google Docs
With Google Docs, your documents are stored in the cloud, and you can access them from any computer or device. You create and edit documents right in your web browser; no special software is required. Even better, multiple people can work at the same time, you can see people’s changes as they make them, and every change is saved automatically. In this course, you will learn how to open Google Docs, create and format a new document, and apply a template to a new document. You will learn how to enhance your documents using a table of contents, headers and footers, tables, drawings, images, and more. You will learn how to share your documents with others. We will discuss your sharing options and examine collaborator roles and permissions. You will learn how to manage versions of your documents. Google Docs allows you to work in real time with others on the same document. You will learn how to create and manage comments and action items in your documents. We will review a few of the Google Docs tools. You will understand how to set your preferences to suit your own work style and explore how to use tools to add value to your content.
Assessing neural network robustness: ISO/IEC 24029-1:2021
AI systems are increasingly used in contexts where reliability, safety, fairness, privacy and trust matter. In this course, you’ll learn how to assess the robustness of neural networks using the structured approach set out in ISO/IEC TR 24029-1:2021. You’ll explore why non-robust systems can behave unexpectedly, create unfair outcomes or become vulnerable to adversarial attacks, and you’ll learn how to identify and evaluate these risks before deployment. Through clear explanations, worked examples and practical assessment scenarios, you’ll examine statistical, formal and empirical methods for testing robustness. You’ll learn how to set robustness goals, choose suitable datasets and metrics, define thresholds, interpret results and document evidence-based decisions. The course also introduces key techniques such as data perturbation and abstract interpretation, helping you understand how neural networks respond to changed, distorted or deliberately manipulated inputs.
Introduction to Analytics Engineering
This course helps you build a strong foundation in analytics engineering and gives you the practical skills needed to work with modern data systems. You will begin by learning the core components of the modern data stack and the responsibilities of analytics engineers. From there, you will move into analytical SQL, dimensional modeling concepts, and the structure of ELT pipelines. The course concludes with hands-on development in dbt Core, where you will create, test, and document high-quality data models. With a practical, applied approach, the course covers essential topics such as writing effective SQL queries, organizing raw, staging, and mart layers, designing fact and dimension tables, and building automated transformations using dbt. You will learn how to structure data models, implement data quality checks, manage lineage, and support scalable analytics within modern data environments. • By the end of this course, you will be able to: • Understand the role of analytics engineering in modern data workflows • Design dimensional models using facts, dimensions, keys, and grain • Build structured ELT pipelines across raw, staging, and mart layers • Create, run, test, and document dbt Core models • Apply tests and documentation to strengthen data quality and transparency This course is designed for freshers, aspiring analytics engineers, data analysts, and data engineers who want to expand their skills in SQL, data modeling, ELT processes, and dbt development. It is ideal for anyone looking to build dependable, scalable, and well-documented analytics pipelines in today’s data-driven environments.
SAP Landing Zone: Plan and Deploy the SAP Network
This is a self-paced lab that takes place in the Google Cloud console. In this lab, students will be introduced to the key activities involved in deploying GCP network resources involved in building an “SAP Landing Zone”.
Write basic ansible playbooks
In this 1-hour long project-based course, you will learn how to setup an inventory of hosts which, for our case here, will only contain one hosts, which is the local host. You will learn how to run Ansible ad-hoc commands. Then you will learn what an Ansible playbook looks like, and how to write a playbook to perform basic operations. You will write playbooks to run file tasks and to setup software. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Big Data Analysis Deep Dive
The job market for architects, engineers, and analytics professionals with Big Data expertise continues to increase. The Academy’s Big Data Career path focuses on the fundamental tools and techniques needed to pursue a career in Big Data. This course includes: data processing with python, writing and reading SQL queries, transmitting data with MaxCompute, analyzing data with Quick BI, using Hive, Hadoop, and spark on E-MapReduce, and how to visualize data with data dashboards. Work through our course material, learn different aspects of the Big Data field, and get certified as a Big Data Professional!
Analyze and Automate Splunk Reporting with Data Models
By the end of this course, learners will be able to automate Splunk reports, design interactive dashboards, apply reusable macros, build structured data models, and generate high-performance visual analytics using pivots and acceleration techniques. This course provides a comprehensive, hands-on pathway for mastering Splunk reporting and data modeling beyond basic search usage. Learners will gain practical skills to schedule and manage reports, create dynamic dashboards, and standardize search logic using macros. Through structured lessons on data models, attributes, lookups, and hierarchies, participants will learn how to simplify complex data and enable self-service analytics for stakeholders. What makes this course unique is its end-to-end, job-focused approach. Instead of isolated features, learners experience how reports, dashboards, macros, data models, and pivots work together in real-world scenarios. Performance optimization through data model acceleration and instant pivots ensures learners can deliver insights quickly and efficiently. By completing this course, learners will improve operational visibility, reduce repetitive work, and confidently design scalable Splunk solutions—making them more effective analysts, engineers, and Splunk power users.
Getting Started with Google Kubernetes Engine
Welcome to the Getting Started with Google Kubernetes Engine course. If you're interested in Kubernetes, a software layer that sits between your applications and your hardware infrastructure, then you’re in the right place! Google Kubernetes Engine brings you Kubernetes as a managed service on Google Cloud. The goal of this course is to introduce the basics of Google Kubernetes Engine, or GKE, as it’s commonly referred to, and how to get applications containerized and running in Google Cloud. The course starts with a basic introduction to Google Cloud, and is then followed by an overview of containers and Kubernetes, Kubernetes architecture, and Kubernetes operations.
Creating a Persistent Disk
This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you will learn how to create a persistent disk and use it on a Google Compute Engine virtual machine. You will also learn about zones, regions, and different disk types. Watch the short preview Create a Persistent Disk, GCP Essentials.
BigQuery pour les analystes de données
Ce cours s'adresse aux analystes de données qui souhaitent apprendre à utiliser BigQuery pour leurs besoins d'analyse de données. À travers un ensemble de vidéos, d'ateliers et de démonstrations, nous aborderons différents sujets pour expliquer comment ingérer, transformer et interroger vos données dans BigQuery afin de dégager des insights qui contribuent à la prise de décisions commerciales.
Unix System Basics
Explore Unix system basics without installing anything! This course is designed for learners with no technical experience, providing a solid foundation of Unix basics. Learners will gain hands-on practice on an Ubuntu system that can be easily transferred to other Unix-based operating systems. The modules in this course cover what characterizes Unix-based operating systems, navigating, searching, and editing files and directories using the command line. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable examples with suggested edits to explore examples further, building a deeper understanding by doing. You'll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable exercises that take minutes instead of hours.
DeepSeek AI for Business Strategy and Decision-Making
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course helps learners understand how DeepSeek AI can be applied to modern business strategy, enabling smarter decision-making in uncertain and fast-changing markets. You will gain the ability to think strategically, interpret complex environments, and integrate AI-driven insights into real business planning. The course begins with foundational strategic thinking, exploring VUCA, BANI, TUNA, and RUPT frameworks to understand uncertainty. Learners then examine how leaders redesign strategy cycles and embed adaptability into planning systems. The course then introduces DeepSeek AI setup, search capabilities, and mobile usage for real-time insights. Learners compare DeepSeek AI with ChatGPT and explore how prompt engineering improves output quality for business applications. This course is designed for business leaders, analysts, and entrepreneurs seeking to apply AI-driven strategy. No advanced technical background is required, though basic business understanding is helpful. Difficulty: intermediate. By the end of the course, you will be able to build AI-driven strategy, run market analysis, and optimize decisions with
Architecting Solutions on AWS
Are you looking to get more technical? Are you looking to begin working in the cloud, but don’t know where to go next? Are you looking to up your game by prepping for the AWS Solutions Architect Associate Exam? Do you see yourself as a cloud consultant, but can’t quite envision how your days would be? Are you puzzled how to match a customer’s requirements with the right AWS services/solutions? If so, you are in the right place!! You’ll learn how to plan, think, and act like a Solution Architect in a real-life customer scenario. In this course, you’ll get prepared to begin your career architecting solutions on AWS. Through a series of use case scenarios and practical learning, you’ll learn to identify services and features to build resilient, secure, and highly available IT solutions in the AWS Cloud. Each week, a fictional customer will present a different need. We will then review the options, choose the best one for the use case and walk you through the architecture design on a whiteboard. You’ll learn about event-driven architectures with a focus on performance efficiency and cost. You’ll then gain knowledge on how to architect a solution using many purpose-built AWS services. With this understanding, you’ll get a sense of hybrid architectures with a refined focus on reliability and operational efficiency. Finally, you’ll wrap up your learning by understanding a multi-account strategy centered on security and cost.
Managing and Securing the Apigee Hybrid API Platform
This course discusses how environments are managed in Apigee hybrid, and how runtime plane components are secured. You will also learn how to deploy and debug API proxies in Apigee hybrid, and about capacity planning and scaling.
Securing Industrial Control and Safety Instrumented Systems
Industrial Control Systems (ICS) and Safety Instrumented Systems (SIS) form the backbone of critical infrastructure, where safety and reliability are paramount. This course provides a comprehensive understanding of how to secure these mission-critical systems against modern cyber threats, emphasizing both protection and operational continuity in industrial environments. Through structured modules, learners will explore key security frameworks, architectural designs, and risk management strategies tailored for industrial environments. You’ll gain practical skills to implement defense-in-depth strategies, mitigate vulnerabilities, and ensure compliance with standards like ISA/IEC 62443. Unlike traditional cybersecurity courses, this course bridges the gap between theory and real-world application by integrating safety protocols, incident analysis, and case studies from real industrial scenarios. The learning path follows the full systems lifecycle—from architecture and design to operation and maintenance. This course is ideal for cybersecurity and functional safety professionals, engineers, managers, and consultants involved in safeguarding industrial operations. A foundational understanding of cybersecurity and safety principles will enhance learning outcomes.