The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Amazon Web Services
Introduction to Robotics on AWS
In this course, you will learn about industry trends in robotics, the evolution to next-generation robots that take advantage of the cloud, and how Amazon Web Services (AWS) can address common challenges for robotics companies. You will also learn common patterns and best practices for robotics workloads on AWS.
EDUCBA
Splunk Administration and Advanced Topics
This course provides a comprehensive understanding of Splunk administration, focusing on managing and maintaining the Splunk platform for efficient data collection, indexing, and analysis. The course includes main topics such as user authentication, role-based access control, data input configuration, system health monitoring, and resource management to optimize Splunk's performance and security. Learning Objectives: 1) Learn how to identify and troubleshoot common issues related to indexing, search, and resource utilization, gain proficiency in user management and understand the purpose and function of key configuration files 2) Master event correlation techniques, gain practical experience in training, evaluating, and deploying machine learning models, and learn the concept of data modeling in Splunk 3) Gain proficiency in real-time monitoring, alerting, user management, develop skills in testing, validating, and fine-tuning security use cases Module 1: Splunk Administration and User Management Module Description: The "Splunk Administration and User Management" module covers essential topics related to effectively managing and configuring a Splunk deployment. You will discover tasks such as user authentication, role-based access control, data input configuration, monitoring system health, and managing resources to optimize Splunk's performance and security. This module enables administrators with the skills and knowledge to maintain a robust and secure Splunk environment for data analysis and monitoring needs. You will identify the purpose and function of key configuration files in Splunk, such as inputs.conf, outputs.conf, and server.conf. You will acquire proficiency in user management, involving creating, modifying, and disabling user accounts in Splunk. You will recognise how to identify and troubleshoot common issues related to indexing, search, and resource utilization, ensuring a stable and optimized Splunk environment. Module 2: Advanced Data Analysis and Correlation in Splunk Module Description: The "Advanced Data Analysis and Correlation in Splunk" module deals with advanced techniques for analyzing and correlating data within the Splunk platform. You will explore complex search queries, data models, and machine-learning capabilities to recognize patterns, anomalies, and relationships between different data sources. This module empowers you to derive deeper insights and make data-driven decisions by leveraging the full potential of Splunk's advanced data analysis and correlation capabilities. You will acquire the concept of data modeling in Splunk and how to design and utilize data models to simplify data exploration and visualization. You will illustrate event correlation techniques using search commands like transaction and stats to identify patterns and relationships between events from different data sources. Gain practical experience in training, evaluating, and deploying machine learning models for tasks like classification, regression, clustering, and anomaly detection. Module 3: Splunk Security Essentials and Incident Response Module Description: The "Splunk Security Essentials and Incident Response" module focuses on leveraging Splunk Security Essentials to effectively detect, analyze, and respond to security incidents. You will discover key features of Splunk SE, including correlation searches, threat intelligence integration, and real-time monitoring, enabling them to proactively identify and mitigate security threats within their organization's IT infrastructure. This module equips users with the skills needed to enhance security operations and incident response using the powerful capabilities of Splunk SE. You will identify the key features and functionalities of Splunk Security Essentials as a cybersecurity solution. Acquire proficiency in real-time monitoring and alerting using Splunk SE for rapid threat detection and response. Attain skills in testing, validating, and fine-tuning security use cases for optimal performance and effectiveness. Target Learner: This course is designed for IT professionals, system administrators, and security analysts who are responsible for managing and maintaining Splunk deployments, as well as individuals seeking to enhance their data analysis and security skills using the Splunk platform. Learner Prerequisites: To benefit fully from this course, learners should have: • Basic knowledge of IT systems and data management concepts. • Knowledge of Splunk's basic functionalities and user interface. Reference Files: You will have access to code files in the Resources section. Course Duration: 9 hours This course is designed to be completed within 3 weeks, with of 6+ hours instructional content.
Coursera
Strategize, Roadmap, and Mitigate AI Projects
Strategize, Roadmap, and Mitigate AI Projects is a practical course for product managers, analysts, and technical leads who want to move AI ideas from concept to responsible deployment. Too often, AI projects fail because feasibility checks are skipped, roadmaps are rushed, or ethical safeguards are ignored. In this course, you’ll learn how to evaluate feasibility across data, technical, and business dimensions, design a roadmap that sequences work into prototype, pilot, and deployment phases, and conduct ethical, legal, and societal (ELSI) reviews to identify risks and recommend safeguards. Through case-driven videos, hands-on labs, and reflective dialogues, you’ll practice applying these frameworks to scenarios like fraud detection, medical imaging, and AI hiring assistants. The course concludes with a graded project where you integrate feasibility, roadmap design, and ELSI review into a single decision-ready plan—equipping you to lead AI projects that are realistic, scalable, and trusted.
Microsoft
Prepare for AZ-204: Developing Solutions for Microsoft Azure
Microsoft certifications give you a professional advantage by providing globally recognized and industry-endorsed evidence of mastering skills in digital and cloud businesses. In this course, you will prepare to take the Exam AZ-204: Developing Solutions for Microsoft Azure. In this course, you will refresh your knowledge of hall phases of cloud development from requirements, definition, and design; to development, deployment, and maintenance; to performance tuning and monitoring. You will test your knowledge in a practice exam mapped to all the main topics covered in the AZ-204 exam, ensuring you’re well prepared for certification success. Y You will also get a more detailed overview of the Microsoft certification program and where you can go next in your career. You’ll also get tips and tricks, testing strategies, useful resources, and information on how to sign up for the AZ-204 proctored exam. By the end of this course, you will be ready to sign-up for and take the certification exam. This is the last course in a program of eight courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Developing Solutions for Microsoft Azure exam is an opportunity to prove knowledge expertise in designing, building, testing, and maintaining cloud applications and services on Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam.
Adobe
AI-Powered Exploration With Adobe Firefly Boards
Whether you're brainstorming solo or collaborating across teams, this course will help you turn ideas into impact using Adobe Firefly Boards. You’ll learn how to gather inspiration, remix concepts, refine creative direction, and share polished boards with collaborators or downstream tools like Adobe Photoshop. Through hands-on activities and real-world use cases, you’ll build skills in visual storytelling, creative organization, and team collaboration. This course will help you unlock the power of multimodal ideation in modern creative workflows.
Coursera
Explore AI Features
Explore AI Features is an intermediate-to-advanced short course designed for IT enablement leads and knowledge leaders who want to understand how artificial intelligence is embedded into everyday collaboration tools—specifically within Confluence. As AI becomes increasingly integrated into workplace platforms, leaders need more than awareness; they need the ability to recognize AI-driven capabilities and apply them intentionally to real work. In this course, learners will first define what constitutes true AI functionality versus standard collaboration features. They will explore how features such as content suggestions and automatic summaries leverage AI to reduce manual effort, improve clarity, and accelerate decision-making. Moving beyond recognition, learners will then apply these concepts hands-on by creating a structured Confluence 'AI Ideas' page and using AI to generate, review, and insert a summary paragraph. Through guided videos, structured practice, and scenario-based assessments, learners will develop confidence using AI features as part of normal documentation and planning workflows. By the end of the course, learners will be equipped to coach teams distinguishing real AI from automation, apply features through structure-first workflows, and reduce documentation waste in Confluence.
Packt
Introduction to AI Tools for Coders and Programmers
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. Unlock the potential of AI tools to revolutionize your coding workflow in this comprehensive course designed for developers and programmers. Begin your journey by exploring the capabilities of ChatGPT, from basic setup to advanced features like API integration, error debugging, and leveraging it with React.js. Gain hands-on experience in utilizing AI for enhanced productivity. Next, dive into GitHub Copilot, an AI-powered assistant that simplifies complex coding tasks. Learn how to set up and use this tool to build Express.js middleware, design static websites, and manage data with ease. Discover its potential as your ultimate AI pair programmer. The course also introduces Tabnine, an AI-driven code completion tool, which helps you write Jest test cases, handle HTTP requests, and speed up coding with accuracy. Finally, explore Sourcegraph, a powerful solution for code navigation and analysis. Learn to identify code smells, refactor effectively, and generate unit tests to maintain clean, efficient codebases. Ideal for developers eager to integrate AI into their workflows, this course is accessible to those with basic programming knowledge. Whether you're a beginner or experienced coder, you'll discover valuable tools to enhance your efficiency and skillset.
Packt
Cybersecurity Architecture Fundamentals
Master the essentials of cybersecurity architecture with this comprehensive course, designed to equip you with the knowledge and skills to build secure systems in today’s complex threat landscape. From understanding the roles of a security architect to grasping key principles and risk management strategies, you’ll develop a deep foundation in cybersecurity essentials. Dive into practical applications with lessons on threat modeling techniques, including STRIDE, DREAD, and OCTAVE, to analyze and mitigate risks effectively. Explore leading enterprise architecture frameworks such as TOGAF, Zachman, and SABSA, and learn how they integrate with business and security objectives. Progress into advanced topics like network, endpoint, and application security, as well as supply chain and data protection strategies. Engage with real-world scenarios as you tackle a case study that challenges you to design a security architecture for remote work environments. Explore security design patterns and reference architectures, ensuring a strong, reusable security foundation for diverse business contexts. This course is ideal for aspiring security architects, IT professionals, and business leaders seeking to bolster their organization’s cybersecurity posture. With no prerequisites, it’s accessible to beginners yet valuable for those with some technical background, offering a solid pathway into cybersecurity architecture.
Google Cloud
Data Studio: Qwik Start
This is a self-paced lab that takes place in the Google Cloud console. Data Studio lets you create dynamic, visually compelling reports and dashboards. Watch the short video Data Studio: Qwik Start - Qwiklabs Preview.
Starweaver
Healthcare Data Security & Risk Management
In today’s digital healthcare ecosystem, patient data represents both an invaluable asset for advancing care and a prime target for malicious actors. Electronic health records (EHRs), connected medical devices, telemedicine platforms, artificial intelligence tools, and third-party vendor relationships all contribute to an increasingly complex risk environment. This course, “Healthcare Data Security & Risk Management,” introduces and equips healthcare IT professionals, compliance officers, risk managers, and healthcare administrators with the knowledge and skills to analyze, evaluate, and strengthen their organization’s data protection and risk management strategies. Over the span of four hours, learners will explore the regulatory, technical, and operational dimensions of safeguarding protected health information (PHI) and electronic PHI (ePHI). The course is designed at an advanced level, demanding higher-order thinking—learners will analyze, evaluate, and create strategies to manage health data in real-world, high-risk scenarios. The course begins with a strong foundation in healthcare data protection fundamentals, including HIPAA Security Rule requirements, data classification, lifecycle management, and the principle of minimum necessary use. This grounding ensures all learners can critically evaluate compliance obligations and data governance structures. This course is designed for healthcare IT professionals, compliance officers, cybersecurity analysts, risk managers, healthcare administrators, and professionals transitioning into healthcare security roles. If you’re responsible for protecting patient data or managing regulatory risk, this course equips you with the frameworks and tools you need. Learners should have basic knowledge of healthcare IT systems and a general understanding of regulatory compliance. Familiarity with cybersecurity concepts is helpful but not required; the course provides the context needed to apply security principles effectively in healthcare environments. By the end of the course, learners will not only understand compliance requirements and risks, but also synthesize knowledge into practical policies, risk management frameworks, and incident response strategies tailored to their organizations. The course’s blend of conceptual videos, demonstrations, assigned readings, discussions, and hands-on lab activities ensures an engaging and applied learning experience.
Coursera
Root Cause Analysis: Principles and Benefits
In the complex landscape of business operations, identifying and addressing the underlying causes of issues is crucial for sustainable success. Root Cause Analysis (RCA) is a systematic process used to identify the fundamental causes of problems or events, preventing their recurrence. This course introduces RCA as a critical thinking methodology, equipping learners with the tools and techniques to dissect problems, understand their core issues, and implement effective solutions. This course caters Quality Assurance Managers, Operations Managers, Project Managers, and professionals involved in process improvement, quality control, or operational excellence. No specific prerequisites, though a basic understanding of business processes and problem-solving is beneficial. By the end of this course, participants will have mastered the art of RCA, enabling them to enhance operational efficiency, improve product quality, and foster a proactive problem-solving culture within their organizations.
Board Infinity
Advanced vSphere 8.x Features & Virtualization Management
Master advanced virtual machine operations, workload migrations, performance tuning, and cluster management in VMware vSphere 8.x—skills essential for modern virtualization professionals. Through hands-on labs and real-world use cases, you'll gain the practical experience needed to manage enterprise-scale environments with precision and confidence. Start by provisioning VMs using templates, cloning, customization specs, and content libraries to streamline large-scale deployments. You’ll also install VMware Tools, dynamically modify CPU and memory allocations, and manage VM lifecycle operations including clean decommissioning. Next, explore vMotion and Storage vMotion to migrate running VMs without downtime. Dive into snapshot usage, consolidation, and impact analysis, along with advanced CPU/memory resource optimization. The final module takes you deep into vSphere clustering—configure DRS and HA, apply Fault Tolerance, and tune workloads using resource pools and performance monitoring. By the end of this course, you will be able to: -Provision and manage VMs using templates and content libraries -Perform vMotion and Storage vMotion with EVC compatibility -Set up DRS, HA, FT, and optimize resources using pools and metrics -Apply snapshot and performance tuning strategies in real scenarios This course is ideal for system administrators, virtualization engineers, and IT professionals preparing for the Vmware data center virtualisation. Whether you're aiming for exam success or production-readiness, this course helps you confidently achieve both. Disclaimer: This course is an independent educational resource developed by Board Infinity and is not affiliated with, endorsed by, sponsored by, or officially associated with Broadcom or any of its subsidiaries or affiliates. This course is not an official preparation material of Broadcom. All trademarks, service marks, and company names mentioned are the property of their respective owners and are used for identification purposes only.
Coursera
Architect Resilient LLM Microservices for Scale
This course is designed for intermediate-level software developers, cloud engineers, and system architects responsible for building and scaling LLM applications. As AI systems become more complex, a resilient and scalable architecture is no longer a luxury—it's a necessity. This course provides a focused, practical guide to designing robust, cloud-native microservices that can withstand failure and scale on demand. You will learn to apply the proven 12-factor app methodology to create services that are portable, maintainable, and ready for continuous deployment. Through expert instruction and real-world case studies, you will master the principles of stateless design, externalized configuration, and dependency management. The course then moves from theory to practice, challenging you to evaluate multi-region deployment strategies for fault tolerance and high availability. You will learn to analyze failover mechanisms, assess data replication strategies, and identify architectural risks before they impact production. By the end of this course, you will be equipped to design and document resilient microservice architectures that ensure your LLM applications are not just powerful, but also reliable and built for the future. To successfully complete this course, a working knowledge of core cloud concepts (regions, zones, and elasticity) and microservice basics (services, APIs, and containers) is recommended.
University of Pittsburgh
Cloud Computing Fundamentals
Master the essential concepts and hands-on skills needed to understand cloud computing from multiple perspectives. This comprehensive course takes you from cloud computing history and definitions through advanced database technologies, providing both theoretical foundations and practical implementation experience. You'll explore how cloud platforms have transformed modern technology, learning to evaluate IaaS, PaaS, and SaaS service models while gaining hands-on experience with virtualization using VirtualBox. The course progresses through cloud data infrastructure, where you'll differentiate between databases, data warehouses, and data lakes, and learn to apply de-normalized schemas like Star and Snowflake for optimal performance. By course completion, you'll confidently compare and select appropriate database technologies—MySQL, MongoDB, and Neo4j—understanding ACID versus BASE properties and horizontal versus vertical scaling strategies. What sets this course apart is its balanced approach: combining historical context, architectural understanding, and practical coding exercises using Python, GitHub, and Flask. Whether you're transitioning into cloud roles or expanding your technical expertise, this course equips you with the foundational knowledge and practical skills essential for modern cloud computing careers.
LearnKartS
Agile Project Management Frameworks and Methodologies
Unlock the power of Agile with this course on Agile Project Management Frameworks and Methodologies. Ideal for professionals who want to jump into agile project management, this course explores the overview of Agile, such as the Agile project management manifesto and why it matters. Understand concepts such as Iterative Project management, MVP, Agile Lifecycle ceremonies, i.e., Sprint Planning, Daily Scrum, and Retrospectives. You will get an in-depth look at how to manage adaptive projects, control the project components, and perform successfully. Discover how to break down the scope of your projects into manageable components, translate them into Agile iterations, and then learn how to efficiently perform the work. Gain insights into hybrid project management, the intersection of Agile, Waterfall, and Hybrid methodologies that yield top-notch project results. This course is designed for individuals looking to improve their project management skills, especially in the fast-paced organizational world. Whether you are studying for a CAPM certification or just looking to increase your knowledge of Agile methodologies, this course is for you. Enroll now & change the way you manage projects!
NVIDIA
Introduction to Networking
Welcome to the Introduction to Networking Course. In this course we will cover the basics of networking, introduce commonly used TCP/IP protocols and cover the fundamentals of an Ethernet network. In addition, you’ll be equipped with the basic knowledge to understand the main data center requirements and how they can be fulfilled. Upon successful completion of the course's final exam, you will receive a digital completion certificate that confirms your understanding of Ethernet technology basics and data forwarding within an Ethernet network.