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This specialization prepares you for the Systems Security Certified Practitioner (SSCP) certification exam. It offers a deep dive into essential topics such as security operations, cryptography, network security, and access controls, ensuring you gain the knowledge and skills necessary to excel in the field. With expert-led instruction and hands-on learning, you'll be equipped to tackle real-world security challenges and advance your career in IT security.

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. Explore the complete architecture of modular monoliths through hands-on development in .NET 8. You'll master Domain-Driven Design (DDD), CQRS, and scalable backend patterns, building a fully functional eShop from the ground up using modern development practices. Start with architectural principles, progress through catalog, basket, and ordering modules, and understand both synchronous and asynchronous communication with real-world tools like RabbitMQ and Redis. Each concept is backed by practical code implementations and project-based learning. Learn to containerize and orchestrate applications with Docker Compose, apply security with Keycloak, and ultimately migrate to microservices using strategies like the Strangler Fig pattern. The course is comprehensive and full of authentic development experience. This course is ideal for backend developers, architects, and software engineers aiming to build modular, scalable systems. A working knowledge of C#, ASP.NET Core, and basic DDD concepts is recommended. Intermediate level.

This comprehensive specialization equips healthcare professionals with essential soft skills to transform patient care delivery and outcomes. Through 11 interactive courses, learners develop empathy, compassion, communication excellence, and resilience while gaining practical techniques including simulation-based training, data-driven outcome measurement, and telemedicine best practices. Participants will build complete toolkits for patient education, create engagement programs for staff morale, and learn to document improvements in patient satisfaction and clinical outcomes using evidence-based approaches that bridge traditional care with modern healthcare delivery methods.

This specialization teaches professionals how to use generative AI, AI agents, and AI agent skills to transform everyday work into high-value, structured outputs. You will learn how to design reusable workflows that turn simple prompts into dashboards, reports, organized data, and decision tools that can be used immediately. By the end, you will be able to apply AI across business, personal, and technical tasks to dramatically increase productivity and impact.

In this Specialization, learners will explore the intersection of artificial intelligence (AI) and web development. The first course introduces the fundamentals of AI, its role in shaping the web development landscape, and the challenges and opportunities of integrating AI into web projects. In the second course, learners will design and implement intelligent web solutions by focusing on user-centric AI design, personalized user journeys, and leveraging AI-powered tools like coding assistants and advanced testing strategies. The third course focuses on the governance and ethics of AI in web development, including AI regulation, compliance with global standards, and the implications of AI advancements on the web development workforce. By the end of this Specialization, participants will be well-equipped to build, manage, and govern AI-enhanced web applications, contributing to the next generation of digital experiences. This Specialization is based on the book AI Strategies for Web Development, by Anderson Soares Furtado Oliveira.

This Specialization equips learners with the skills to responsibly apply artificial intelligence across business strategy, ethics, and financial decision-making. Learners explore ethical AI frameworks, governance models, bias mitigation, and regulatory considerations while gaining hands-on experience with AI-supported market analysis and financial modeling. By integrating ethical leadership with practical analytics and Excel-based financial forecasting, this program prepares professionals to lead trustworthy, compliant, and value-driven AI initiatives in modern organizations.

This Specialization, led by instructors Ronny Hermosa, Future Skills, Arnold Trinh, & Peggy Dean, is designed for creatives, marketers, and entrepreneurs eager to integrate AI into their branding, content creation, and digital marketing strategies. Through four hands-on courses, you’ll learn how to name your brand, design a logo, create video avatars, build realistic AI videos, and craft high-impact prompts for content and SEO—all with the help of generative AI tools like ChatGPT, Canva, HeyGen, and Eleven Labs. By the end, you’ll be equipped to transform your creative process with confidence and efficiency. Instructor bios included in course descriptions!

AI for Healthcare Systems is a comprehensive exploration AI-relevant tools, applications and systems for mid-career healthcare and other professionals interested in this topic. This specialization benefits learners beginning to explore a career in AI for healthcare or to gain more knowledge. Systematically using analytics, reporting tools, and data visualization techniques help healthcare organizations with comprehensive insights that support better decision-making and optimizing performance. In turn, AI enhances the capabilities of healthcare professionals and systems, contributing to a more effective, efficient, and patient-centered healthcare system.

This specialization explores the transformative impact that AI will have on marketing by guiding learners through its applications across the customer journey. Participants will gain experience in leveraging AI to support customer acquisition and retention, creating compelling marketing content using generative AI, and assessing the effectiveness of AI-driven strategies. After completing the specialization, learners will be equipped to leverage AI to enhance marketing outcomes and drive growth.

This Specialization equips professionals with high-demand AI marketing skills to drive conversions and optimize digital strategies. Learners will master industry-leading generative AI platforms — including ChatGPT, Midjourney, Gemini, DeepSeek, and Microsoft Copilot — to elevate content creation, AI search engine optimization (SEO), and email marketing performance. By completing this program, participants will be prepared to execute data-driven, AI-powered marketing campaigns that increase ROI and accelerate business growth.

AI for Mechanical Engineers is designed to help mechanical engineering professionals harness the power of artificial intelligence in their practice. With technological advancements rapidly reshaping industries, this series provides a comprehensive foundation in AI applications essential to mechanical engineering domains, empowering you to lead the integration of AI technologies in your field. From optimizing design processes to revolutionizing autonomous systems and addressing energy and biomedical challenges, you will delve into cutting-edge AI methodologies tailored for mechanical engineering contexts. After completing the series, you will be equipped with the knowledge and skills to navigate the evolving landscape of mechanical engineering and drive transformative change through the integration of AI technologies.

Bridge the gap between traditional marketing and AI-driven innovation with a comprehensive professional certificate program that demystifies artificial intelligence for brand professionals. Carefully designed to make AI accessible, this program draws insights from FANG (Facebook/Meta, Amazon, Netflix, Google) and FMCG (Fast-Moving Consumer Goods) industries to deliver a transformative learning experience. Spanning 75 hours of guided learning, the program combines six long courses, 42 short courses, and nine specialized modules to build a practical, applicable AI marketing skillset. You'll develop capabilities in digital execution, data analytics, content strategy, and strategic planning, all enhanced through approachable artificial intelligence techniques. The curriculum bridges theoretical knowledge with hands-on application, helping you: Understand AI's role in modern brand management. Apply data-driven insights to marketing strategies. Develop AI-enhanced content approaches. Navigate digital transformation confidently. Who this is for: Marketing professionals, brand coordinators, digital marketers, and emerging leaders eager to integrate AI into their professional toolkit. Some digital marketing experience is recommended but not required.

This Specialization bridges the gap between traditional UI/UX workflows and modern generative AI, guiding you from design fundamentals to cutting-edge AI-powered automation. Through four practical courses, you will master Figma AI and Claude for smart interface conceptualization, utilize OpenArt to architect cohesive visual systems and custom models, and unlock the full creative potential of Adobe Firefly, Photoshop AI, and Canva AI. Designed in alignment with current industry standards for UI/UX, marketing, and digital content roles, this program equips you with the exact AI-driven asset creation and design skills top creative agencies demand.

Transform your finance career with cutting-edge Generative AI skills that top financial institutions are already using. This comprehensive program equips you with practical AI tools to automate financial reporting, optimize portfolio management, and enhance forecasting accuracy. You'll leverage industry-leading platforms like ChatGPT, Microsoft Copilot, Oracle EPM, and QUILL while learning to build custom AI solutions for complex financial challenges. From automated cash flow optimization to AI-driven portfolio analysis, you'll gain job-ready skills that make you indispensable in today's data-driven finance landscape. Perfect for financial analysts, portfolio managers, and finance professionals ready to lead the AI revolution in finance. No advanced programming required—just basic financial knowledge and curiosity about AI's transformative potential in financial decision-making.

Transform your marketing expertise with cutting-edge AI tools and data-driven strategies in this comprehensive 17-course specialization. You'll learn to leverage generative AI for content creation, SEO optimization, and personalized customer engagement while building advanced analytics capabilities to measure and optimize campaign performance. Starting with foundational AI applications in social media and content marketing, you'll progress through sophisticated techniques for competitor analysis, A/B testing, lead nurturing, and customer lifetime value optimization. Through hands-on projects, you'll create AI-powered marketing plans, build interactive dashboards, automate email campaigns, and develop data-driven strategies that maximize ROI. By completion, you'll be equipped to implement end-to-end AI marketing workflows, from initial content generation to advanced performance analytics, positioning you at the forefront of modern marketing innovation.

This specialization provides a comprehensive pathway for the AWS Certified Security – Specialty (SCS-C02) exam. It starts by covering cloud security fundamentals, focusing on the AWS Shared Responsibility Model, key AWS services, and securing infrastructure like EC2 and VPC. You’ll explore how to manage security responsibilities between AWS and its customers, and learn about core services such as EC2, IAM, and SQS. The second course deepens your knowledge of security monitoring and logging using AWS tools like CloudWatch, CloudTrail, and AWS Config. You’ll gain skills in real-time monitoring, incident response, and securing EC2 instances. Additionally, you'll explore securing VPCs and using AWS KMS and CloudHSM for encryption and key management. In the final course, you’ll focus on advanced access management and data protection strategies. Learn to implement IAM policies, federated access, and secure data both in transit and at rest. You’ll also gain hands-on experience with AWS Secrets Manager and explore secure networking options like AWS VPN and Direct Connect. This specialization not only prepares you for the certification exam but also equips you with practical skills to secure AWS cloud environments, ensuring you’re ready for real-world cloud security challenges. This specialization is based on the book AWS Certified Security - Specialty (SCS-C02) Exam Guide, by Adam Book, and Stuart Scott.

This specialization 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 specialization. The AWS Certified Solutions Architect – Associate specialization teaches you how to design secure, resilient, high-performing, and cost-effective AWS architectures. You'll explore key topics like networking, compute, storage, identity management, and system design, focusing on practical applications for building effective AWS solutions and managing costs. You’ll begin with securing AWS accounts and managing multiple accounts. Then, dive into networking concepts like VPC design, load balancing, and routing. Next, explore compute services like EC2, Lambda, and ECS, and master storage and database solutions like S3, EBS, RDS, and DynamoDB. This specialization prepares you to design scalable cloud systems. Ideal for IT professionals with cloud experience, this intermediate-level specialization helps you prepare for the AWS Certified Solutions Architect – Associate exam. No prior certifications are needed, but basic cloud knowledge is helpful. By the end of the specialization, you will be able to design secure, scalable AWS architectures and implement cost-effective solutions.

This specialization 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 specialization. In this specialization, you'll gain the expertise required to pass the AWS Certified Solutions Architect – Associate (SAA-C03) exam. You'll explore AWS core services such as EC2, S3, IAM, and VPC, learning to deploy and manage scalable, secure cloud infrastructures. The course will guide you through building resilient systems, configuring storage, optimizing performance, and ensuring security in the cloud. The course is divided into several key chapters, beginning with AWS foundations and progressively moving into more advanced topics like database management, networking, and compute services. With hands-on labs and real-world examples, you will apply your learning to design and implement cloud solutions. This intermediate-level specialization is perfect for IT professionals and aspiring AWS architects. A basic understanding of IT infrastructure is recommended, but beginners are also welcome. By the end of the specialization, you will be able to design and deploy scalable cloud systems, manage security and cost optimization, and confidently tackle the AWS Certified Solutions Architect - Associate (SAA-C03) exam.

This specialization 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 specialization. The AWS Certified Solutions Architect – SAA-C03 specialization equips you with essential skills to design and deploy scalable, secure systems on AWS. You will work with core AWS services such as EC2, RDS, Lambda, and S3, gaining hands-on experience while learning cloud architecture, cost optimization, and security best practices. The specialization starts by setting up AWS accounts, securing environments, and exploring AWS foundational services. As you progress, you’ll dive into networking, storage, and database management with AWS. By the end, you will have a strong understanding of VPCs, EC2, and serverless architecture. This specialization is ideal for cloud architects, developers, and IT professionals with basic IT or networking knowledge. It is intermediate-level and doesn’t require prior AWS experience, though familiarity with cloud concepts is helpful. By the end of the specialization, you will be able to design, deploy, and secure AWS cloud infrastructures using services like EC2, RDS, and Lambda, optimizing for cost-efficiency and scalability.

This specialization provides comprehensive training for the AWS Certified Solutions Architect – Professional Exam (SAP-C02). It is divided into three courses that equip learners with the skills necessary to design and optimize complex AWS solutions. The first course, Advanced AWS Architecture: Identity, Networking, and Design, covers critical topics such as authentication strategies, designing secure networks, and meeting cost and security requirements. The second course, AWS Certified Solutions Architect: Optimizing AWS Solutions, dives deep into enhancing performance, security, operational excellence, and cost efficiency. The final course, AWS Cloud Migration and Modernization, focuses on the crucial aspects of migrating and modernizing existing workloads, leveraging AWS tools, and optimizing new architectures for the cloud. Throughout the specialization, learners will engage with practical examples, case analyses, and skill-building exercises, reinforcing their ability to apply AWS principles to real-world scenarios. Whether optimizing cloud architectures or migrating legacy systems, this specialization provides a well-rounded foundation for becoming a proficient AWS Solutions Architect. Each course builds upon the previous one, ensuring a logical progression toward mastery of AWS's most complex and crucial functionalities. This specialization is based on the book AWS Solutions Architect - Professional Exam Guide written by Patrick Sard and Yohan Wadia

This specialization gives current or aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS. Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors.

The AWS Solution Architect Associate Exam Prep specialization is for individuals seeking to develop proficiency in AWS cloud architecture and services. The course also aligns with the AWS Solution Architect Associate exam structure, helping you prepare for the certification exam. This is a 4-course series. The four courses will cover topics such as AWS core services, cloud security, networking, storage solutions, database management, and architectural best practices, which will prepare you to design and implement scalable, highly available, and fault-tolerant systems on AWS. The AWS Architect Certification course is designed from absolute scratch, making it a go-to choice for anyone new to AWS cloud computing. This course has hands-on demos, quizzes, exam simulators for exam practice, and high-quality theory content videos prepared by industry experts. Therefore, this course is all you need to gain a deeper understanding of AWS cloud architecture and ace the AWS Solutions Architect – Associate Certification. Disclaimer: AWS and Amazon Web Services are trademarks of Amazon.com, Inc. or its affiliates. This course is not affiliated with or endorsed by AWS.

This specialization provides an introduction to the study of abnormal psychology, with a survey of various mental health concerns through both a modern and historical lens. It concludes with an opportunity to practice effecting behavioral change in your own life through an overview of scientifically-supported treatment strategies. The specialization is not intended to be a replacement for therapy, nor a replacement for formal psychiatric training, but - through a series of lectures, readings, and reflective projects - you will learn many of the basic tenets of how diagnosis and treatment have been applied throughout the existence of the discipline of psychology, how to empathically respond to people in distress, and some basic tools to make desired changes in your own life.

Develop skills in information & digital literacy, problem-solving, critical thinking and communication. This Specialization is a high-level academic skills course designed to increase your level of academic preparedness prior to commencement of your studies in an English-medium university. The course equips you for full participation and engagement with your studies by building awareness and understanding of the core values and expectations of academic culture.

Welcome to Accelerate Your Job Search with AI. This Specialization was designed by experts at Google and informed by employers, workforce nonprofits, and educational institutions, to help you navigate your path to your next role more efficiently and confidently. No matter where you are on your job search journey—whether you're just starting out, seeking a new challenge, or ready for your next career move—this program is for everyone. You’ll get practical job search strategies and learn how to leverage AI tools (like Gemini and NotebookLM) to uncover your most valuable skills, create a job search plan, manage your applications, and practice for interviews. You’ll walk away with a personalized job search portfolio to help you stand out to employers, including a resume, career identity statement, job search plan tracker, and more. No previous AI experience is required.

Learn the complete accounting operations lifecycle from foundational bookkeeping through AI-powered automation in this comprehensive 19-course specialization. You'll develop expertise in double-entry bookkeeping, advanced spreadsheet analysis, QuickBooks workflows, invoice automation, cash flow forecasting, and audit compliance while learning to leverage AI tools for maximum efficiency. This program transforms accounting professionals into strategic business partners who can streamline processes, ensure compliance, and deliver data-driven insights that drive organizational success. Through hands-on projects using real-world scenarios, you'll build immediately applicable skills in financial analysis, process optimization, and automated workflows that modern accounting departments demand.

Este Programa especializado está dirigido a quienes busquen profundizar en el campo de la administración de empresas, recorriendo distintas áreas de esta disciplina. A través de estos cursos te irás apropiando de diferentes saberes, entre ellos: Comprender la importancia del desarrollo estratégico en la gestión de capital humano. Desarrollar el objetivo empresarial. Desarrollar sistemas ágiles de gestión. Entender la relación del marketing con el negocio, su lado estratégico y la relevancia del marketing operativo. Generar herramientas que permitan analizar y comprender apropiadamente el modo en el que el contexto económico influye sobre el desempeño de una empresa. Interpretar y utilizar la información contable y financiera como herramienta para el control de gestión y la toma de decisiones.

This Specialization is intended for aspiring photographers, hobbyists, and content creators seeking to develop professional-level editing, organizing, and color correction skills in Adobe Lightroom CC. Through three courses taught by Adobe Certified Instructor Daniel Scott, you will cover essential editing tools, advanced masking techniques, and powerful creative workflows—preparing you to produce, manage, and deliver stunning images and videos with confidence. Full instructor bio in course descriptions!

Build advanced IFRS financial reporting skills for complex accounting, valuation, disclosure, and compliance decisions. Master IFRS standards for fair value, revenue recognition, leases, insurance contracts, and financial instruments.This Specialization helps accounting, audit, finance, and reporting professionals apply advanced IFRS principles with confidence. You will learn how to measure fair value under IFRS 13, analyze fair value hierarchy levels, interpret valuation techniques, and evaluate disclosure requirements used in transparent financial reporting. You will also apply IFRS 15 revenue recognition principles to customer contracts, performance obligations, transaction prices, contract modifications, and disclosures. Through IFRS 16 lease accounting, you will learn how to identify leases, measure lease liabilities, account for right-of-use assets, and assess reporting impacts. The Specialization also covers insurance contract accounting under IFRS 4 and financial instruments accounting principles, including asset classification, impairment, expected credit losses, financial liabilities, and hedge accounting. By the end, you will be able to analyze complex IFRS scenarios, interpret financial reporting disclosures, support audit and compliance work, and make stronger accounting decisions in professional finance, accounting, valuation, and investment analysis roles.

This Specialization is intended for learners with basic knowledge in Android app development seeking to develop knowledge in computer graphics and virtual reality in Android. Through the 4 courses, you will learn basic computer graphics theories and practical implementations of 3D graphics, OpenGL ES, and Virtual Reality on Android which will prepare you to design and develop immersive 3D and virtual reality Android app.

This course explores advanced Azure integration techniques, focusing on APIs, event-driven solutions, and messaging frameworks. You'll learn to implement API management, develop event-based solutions, and use messaging systems to enhance communication between services. These are crucial skills for modern cloud architectures, where systems need to interact seamlessly and securely. The course will teach you practical, hands-on skills for designing and implementing solutions that scale efficiently. By working through examples and exercises, you'll understand how to manage and integrate Azure’s cloud services effectively, optimizing the performance of your applications. What sets this course apart is its blend of theory and real-world examples. You’ll gain not just the technical know-how but also the context to implement solutions in a production environment. With Azure's tools, you'll learn how to solve complex integration challenges that arise in the cloud. This course is ideal for developers, DevOps engineers, and cloud architects who want to level up their skills in Azure. Basic knowledge of cloud computing and Azure services will help you get the most out of this course. This course is part three of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.

Master advanced credit risk concepts essential for FRM Level 2 success and real-world financial risk management. Learn credit risk modeling, counterparty exposure, CVA, securitization, stress testing, and credit derivatives through structured, exam-focused learning. This course provides comprehensive training in modern credit risk management practices used across banking and financial institutions. Learners will explore qualitative and quantitative credit analysis, counterparty risk frameworks, collateral management, CCP structures, credit valuation adjustment (CVA), securitization, portfolio credit risk, and retail credit risk modeling. The course also covers advanced topics such as default probability estimation, hazard rates, credit spreads, copula models, credit derivatives, stress testing, and risk-adjusted performance measurement. Through practical examples and structured assessments, learners will strengthen analytical skills required for FRM Level 2 examinations and professional risk management roles. By the end of the course, learners will be able to analyze complex credit risk scenarios, evaluate exposure management strategies, apply quantitative credit models, and confidently approach FRM Level 2 credit risk topics.

This three-course specialization is built for engineers who have moved past the basics and are ready to tackle the complexities of modern, massive deep learning architectures. You will go under the hood of Transformers and Diffusion Models — mastering not just how they work, but how to fine-tune and optimize them for specific use cases without needing a million-dollar compute cluster. Starting with advanced architectures, you will work with Vision Transformers, ConvNeXt, and modern training dynamics including RMSNorm, SwiGLU activations, and Mixed Precision Training using PyTorch Lightning and Timm. As you progress, you will deep-dive into decoder-only Transformer internals, KV Caching, and Parameter-Efficient Fine-Tuning using LoRA and QLoRA to fine-tune billion-parameter models on consumer GPUs. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.

In the rapidly advancing field of AI, fine-tuning, optimizing, and deploying models like DeepSeek are essential for building specialized, scalable systems. This course covers the most advanced techniques in AI model development, focusing on DeepSeek's adaptation for domain-specific applications such as legal reasoning, performance optimization, and deployment strategies. Through in-depth lessons, learners will explore the fine-tuning process for improving model accuracy, optimizing performance, and deploying DeepSeek models in production environments. You will delve into topics like model distillation, cloud-based deployment strategies, and cost management, enabling you to scale AI systems effectively while ensuring performance meets real-world needs. What makes this course stand out is its practical focus on deployment scenarios and optimization strategies that help learners apply their knowledge directly to the challenges they will encounter in professional settings. You'll gain the expertise to make strategic decisions regarding deployment frameworks, hardware, and production operations, making your AI models not only efficient but also sustainable in long-term applications. This course is ideal for AI practitioners, engineers, and data scientists with experience in machine learning or deep learning. It requires familiarity with machine learning concepts and AI deployment practices. This course is part three of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.

In today's digital landscape, the ability to craft engaging multimedia content is a key skill for any marketer. This course dives deep into advanced techniques that combine the power of blogs, images, video, and audio to effectively connect with and influence your target audience. It focuses on optimizing your digital presence to maximize reach, engagement, and overall impact. Throughout this course, you'll develop the practical skills to create content that resonates with your audience. By mastering tools like media relations, news releases, and search engine marketing, you'll learn how to implement strategies that drive measurable results. Additionally, the course will show you how to leverage timely news and trends, like newsjacking, to seize opportunities and keep your brand in the spotlight. What sets this course apart is its combination of theoretical knowledge with hands-on experience. By applying real-world examples and case studies, the course ensures that you don't just learn the theory but also how to implement the techniques in a practical, results-driven way. This course is ideal for marketers, business owners, or anyone looking to elevate their digital marketing game. A basic understanding of digital marketing concepts will be helpful, but all levels of experience can benefit from the tools and strategies taught. This course is part three of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization. From The New Rules of Marketing & PR Copyright © 2024 by David Meerman Scott. All rights reserved. Published by John Wiley & Sons, Inc., Hoboken, New Jersey. Published simultaneously in Canada. Used by arrangement with John Wiley & Sons, Inc.

This Specialization provides in-depth, practice-oriented training in advanced financial accounting, covering depreciation, partnership accounting, liquidation, repo transactions, and securities lending. Learners progress through structured modules combining accounting theory, ERP-aligned workflows, and real-world financial scenarios to build strong analytical and reporting skills. By completing this Specialization, learners gain job-ready expertise to interpret complex transactions, ensure compliance, and apply advanced accounting treatments across modern financial environments.

Advance RAG Patterns is an intermediate course designed for AI developers and ML engineers who have built a basic RAG pipeline but find it still fails on complex or nuanced queries. While foundational RAG reduces hallucinations, production-grade AI demands greater reliability, accuracy, and reasoning. This 2-hour course moves beyond the basics to teach you how to engineer robust, intelligent, and self-correcting systems. Focused on practical, job-ready skills, this course dives deep into cutting-edge architecture. You will learn to implement and evaluate a suite of advanced patterns, including Corrective RAG for query rewriting, Self-RAG for source validation, and Agentic RAG for multi-hop problem-solving. Through hands-on, in-browser projects, you will A/B test these different architectures, analyze their performance against key metrics, analyze different embedding services, and make data-driven decisions on improving accuracy. By the end, you'll be able to not just build, but architect and defend production-ready RAG systems that are both powerful and trustworthy.

Master FRM Level 2 with real exam-style mock paper solving and expert strategies. Learn how to apply risk concepts, not just memorize them. This course is designed to help learners bridge the gap between theory and application in Financial Risk Management. Through structured mock paper solving, you will develop the ability to analyze complex questions across market risk, credit risk, liquidity, and portfolio management. You will explore real exam patterns, understand tricky question structures, and learn elimination techniques to improve accuracy under time pressure. The course emphasizes conceptual clarity, practical problem-solving, and strategic thinking required to succeed in FRM Level 2. By the end of the course, learners will be able to confidently solve multi-topic questions, evaluate financial risks in real-world scenarios, and approach the exam with a clear strategy.

This Specialization develops the modern sales capabilities required to influence complex buying decisions and guide customers toward confident commitment. Across three courses, you’ll learn how to apply challenger-style insight, diagnostic coaching and structured deal progression techniques to shape buyer thinking and maintain momentum throughout the sales process. You’ll begin by strengthening trust-building and persuasion skills that help open conversations and position value early. You’ll then learn how to coach buyers through uncertainty and internal alignment challenges using emotional intelligence, active listening and consensus-building strategies. Finally, you’ll develop advanced commercial skills for handling objections, navigating procurement and guiding enterprise buying committees toward successful outcomes. By the end of this Specialization, you’ll be equipped to influence stakeholders, resolve hesitation and confidently close complex B2B opportunities while building stronger long-term customer relationships.

The Advanced Unix System Programming and Performance Specialization offers a deep dive into the architecture, administration, and optimization of Unix-based systems. Across four structured courses, learners will master Unix command-line tools, shell scripting, file and process management, interprocess communication (IPC), and performance diagnostics. By combining theory with hands-on command-line practice, this specialization equips aspiring system administrators, developers, and engineers with the tools to analyze, automate, and troubleshoot Unix environments.

This specialization delves into the impact and implementation of Industry 4.0 technologies in manufacturing. Covering the evolution from Industry 1.0 to Industry 4.0, key technologies like IoT, AI, digital manufacturing, and robotics, and the enablers and challenges of adopting these innovations, learners will gain comprehensive knowledge and practical insights to navigate and lead in the digital manufacturing landscape. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.

Agentic AI Content for Practitioners (Teams: Sales) is an intermediate-level course designed for sales professionals and managers seeking to leverage autonomous AI systems for competitive advantage. In today's rapidly evolving sales landscape, agentic AI represents the next frontier in sales automation and intelligence. This course provides hands-on experience with AI tools that can autonomously understand goals, plan multi-step processes, and adapt as they execute tasks. Through real-world case studies from companies like Fujitsu, Snowflake, and Mercedes-Benz, you'll learn to implement AI-driven CRM automation, create personalized outreach strategies, and optimize proposals using competitive intelligence. The course combines strategic understanding with practical application, featuring interactive exercises, AI-powered coaching dialogues, and a comprehensive capstone project. Whether you're looking to automate routine tasks, enhance client personalization, or improve proposal win rates, this course will equip you with the skills to transform your sales operations and achieve unprecedented productivity gains.

This specialization introduces you to building intelligent agentic AI systems using modern frameworks such as LangChain, LangGraph, and the Model Context Protocol (MCP). It is designed for developers and AI engineers who want to move beyond single-prompt interactions and build dependable, multi-step AI workflows. You’ll start with the foundations of Agentic AI, learning how agents reason, use tools, and manage context. You’ll then apply prompt engineering, context design, and LCEL workflows to build modular pipelines and intelligent agents. As you progress, you’ll design agents with memory, tools, and structured outputs, and build stateful and multi-agent systems capable of handling complex tasks. The specialization concludes with advanced agent architectures, observability, evaluation, and system-level integration. By the end of this specialization, you will be able to: Explain how intelligent agents are built using LangChain and LangGraph Apply tools, memory, and reasoning to design multi-step agent workflows Design stateful and multi-agent systems to solve complex use cases Evaluate and improve agent behavior using observability and feedback techniques This specialization is ideal for developers and AI engineers with basic Python experience who want hands-on skills in modern agent-based AI system design. Join us now and begin your journey to become an Agentic AI expert.

What if your AI couldthink, decide, and act—not just respond? Welcome toAgentic AI Engineering, a hands-on specialization designed to help you buildautonomous, production-ready AI systems. Unlike traditional AI courses that focus only on prompts or APIs, this program teaches you how to buildend-to-end Agentic AI systemsthat can retrieve knowledge, use tools, and make decisions in real-world scenarios. You’llstart with the foundations of Agentic AI and develop scalable applications using theMERN stack, integrating models like OpenAI and Gemini.As you progress, you will createAI agents that are powered by RAG and MCP, enabling dynamic responses, tool calling, and intelligent workflows. You’llthen explore MCP architecture and tool ecosystems to build APIs and backend services that enable AI interaction with external systems. Finally,you’lllearn how to make use of AI memory with systems like vector databases (ChromaDBandpgVector) to create scalable, high-performance systems. ThisAgentic AI Engineeringcourseis designed for Developers, backend engineers, and AI enthusiasts who want to move beyond chatbots and buildreal-world AI agents. By the end,you’llbe able todesign, build, and deploy intelligent AI systemsused in modern applications. Build the future of AInot just prompts, but systems.

This Specialization provides a comprehensive pathway to mastering Agile and Scrum practices, from foundational principles to professional certification readiness. Learners develop hands-on skills in Scrum frameworks, Agile estimation, facilitation, and servant leadership while gaining exam-focused insights for CSM and PSM-I success. Through practical scenarios and real-world applications, learners become confident Agile practitioners ready to contribute to high-performing teams across industries.

This Specialization provides a comprehensive path to mastering Agile practices, industry-standard tools, and PMI-ACP® exam preparation. Learners will explore Agile values, Scrum, Lean, XP, and Kanban, while applying real-world workflows using Pivotal Tracker and TFS. Through structured lessons and hands-on practice, participants will develop expertise in Agile planning, estimation, prioritization, release management, and stakeholder engagement. By the end, learners will be equipped to lead Agile teams, optimize delivery processes, and demonstrate certification readiness for global recognition in Agile project management.

This specialization 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 specialization. In this specialization, you will gain comprehensive expertise in programming and integrating the Allen Bradley Micro850 PLC with Industrial Internet of Things (IIoT) technologies. You will start by learning the fundamentals of the Micro850 PLC and its programming environment, CCW (Connected Components Workbench). The specialization then covers key automation concepts, such as ladder logic, bit-level instructions, timers, and counters, through practical exercises and real-world applications. As you progress, you'll explore more advanced programming techniques like structured text (ST), function block diagrams (FBD), and PID control, enabling you to build complex, efficient control systems. You'll also learn to integrate IIoT features, including MQTT communication and MODBUS TCP, for cloud-based monitoring and control. By the end of the specialization, you will be able to Program and troubleshoot Allen Bradley Micro850 PLCs using CCW software, Implement complex automation logic with ladder logic, structured text, and FBD, Integrate IIoT protocols to enable remote monitoring and control of PLC systems, Interface PLC systems with SCADA, mobile devices, and cloud platforms for real-time control.

This is the fifth course in the Google Data Analytics Certificate. In this course, you’ll explore what it means to actually analyze your data. You’ll take what you’ve learned up to this point and apply it to make sense of the data you’ve collected. You’ll learn how to organize and format your data using spreadsheets and SQL to help you look at and think about your data in different ways. You’ll also find out how to perform complex calculations with your data to address business objectives. You’ll learn how to use formulas, functions, and SQL queries as you conduct your analysis. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, learners will: - Learn how to organize data for analysis. - Understand the processes for formatting and adjusting data. - Explore how to aggregate data in spreadsheets and by using SQL. - Use formulas and functions in spreadsheets to make data calculations. - Learn how to complete calculations using SQL queries.

This Specialization provides a structured, end-to-end learning journey in data visualization, business intelligence concepts, and desktop-based analytics using Tableau. Learners progress from foundational principles of data exploration and visual design to advanced analytics, forecasting, trend evaluation, and dashboard storytelling. Through hands-on exercises and real-world business datasets, participants develop the ability to transform raw data into meaningful insights that support strategic decision-making. The program emphasizes analytical thinking, effective communication, and practical dashboard development to prepare learners for roles in data analysis, reporting, and business intelligence across industries.

In this course, you'll get an in-depth look at the SQL SELECT statement and its main clauses. The course focuses on big data SQL engines Apache Hive and Apache Impala, but most of the information is applicable to SQL with traditional RDBMs as well; the instructor explicitly addresses differences for MySQL and PostgreSQL. By the end of the course, you will be able to • explore and navigate databases and tables using different tools; • understand the basics of SELECT statements; • understand how and why to filter results; • explore grouping and aggregation to answer analytic questions; • work with sorting and limiting results; and • combine multiple tables in different ways. To use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements: • Windows, macOS, or Linux operating system (iPads and Android tablets will not work) • 64-bit operating system (32-bit operating systems will not work) • 8 GB RAM or more • 25GB free disk space or more • Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled; on Windows and Linux computers, you might need to enable it in the BIOS) • For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)

This Specialization is designed for data scientists, analysts, and applied scientists seeking to develop expertise in Bayesian statistical methods and probabilistic modeling. Through three comprehensive courses, learners will master foundational Bayesian inference techniques, such as Bayes rule for distributions, conjugate priors and MCMC methods. The curriculum progresses to advanced topics including Bayesian regression, hierarchical models, generalized linear models, variational inference, and Bayesian non-parametric methods. Students will gain hands-on experience with modern probabilistic programming tools and apply Bayesian techniques to real-world applications in sports analytics, healthcare, and business decision-making.

The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.

This Specialization provides an in-depth, practical exploration of modern Photoshop features used in professional visual design, image editing, and creative production. Learners progress from mastering intelligent selection tools and non-destructive editing workflows to applying advanced compositing, color harmony, typography refinement, and AI-powered enhancements for realistic and visually cohesive results. Across the courses, learners build strong technical accuracy while developing creative confidence through real-world workflows such as background replacement, perspective correction, depth effects, and content-aware image cleanup. By the end of the Specialization, learners are equipped with industry-relevant Photoshop skills applicable to graphic design, digital marketing, photography, and content creation, enabling them to produce polished, professional-quality visual assets efficiently.

This Specialization provides an end-to-end, project-driven learning experience in advanced Tableau analytics using real-world datasets from pricing strategy, public health, geopolitics, and financial markets. Learners will design interactive dashboards, apply descriptive and predictive techniques, interpret regression and elasticity concepts, and build compelling data stories that support informed decision-making. Through structured case studies, participants will move beyond chart creation to develop analytical thinking, economic interpretation, and professional dashboard design skills aligned with modern data analyst and business intelligence roles.

This Specialization equips learners with practical machine learning skills to solve real-world business problems across customer analytics, financial fraud, logistics, and supply chain domains. Learners progress through end-to-end workflows including data preparation, exploratory analysis, predictive modeling, model evaluation, and business interpretation using industry-relevant datasets and tools such as R. Emphasis is placed on translating model outputs into actionable insights that support strategic decision-making, operational efficiency, and risk management, making the program highly relevant for analytics, finance, and operations roles.

This Specialization provides a comprehensive, workflow-driven pathway to mastering professional video editing using Premiere Pro, progressing from core fundamentals to advanced post-production techniques. Learners build practical expertise in editing, color correction and cinematic grading, audio enhancement, motion graphics, captions, and accessibility-ready delivery through hands-on, real-world scenarios. By completing feature-focused courses and applied assessments, learners gain industry-relevant skills that improve efficiency, creative control, and output quality, preparing them to confidently produce polished video content for marketing, media, education, and digital platforms.

This Specialization provides a structured, hands-on pathway to mastering statistical data analysis using Minitab, progressing from foundational concepts to advanced regression and predictive modeling. Learners begin by understanding the Minitab interface and core statistical tools, then advance to applying descriptive, inferential, and predictive analytics to real-world business and quality scenarios. Across the courses, learners focus on interpretation, visualization, and decision-making rather than formula-heavy theory, ensuring skills are practical and job-ready. Real corporate-style datasets, guided workflows, and Minitab’s Assistant features help learners confidently translate statistical outputs into actionable insights for business, operations, quality management, and analytics roles.

>>> En vous inscrivant à cette spécialisation, vous acceptez les conditions d'utilisation de Qwiklabs (disponibles à l'adresse suivante : https://qwiklabs.com/terms_of_service) comme indiqué dans les questions fréquentes. <<< Cette spécialisation présente l'infrastructure et les services de plate-forme complets et flexibles de Google Cloud Platform. À travers un ensemble de présentations, de démonstrations et d'ateliers pratiques, les participants découvrent et déploient des éléments de solution, y compris des composants d'infrastructure tels que les réseaux, les systèmes et les services applicatifs. Cette spécialisation aborde également le déploiement de solutions pratiques, telles que l'interconnexion des réseaux de manière sécurisée, les clés de chiffrement fournies par le client, la sécurité et la gestion des accès, les quotas et la facturation, ainsi que la surveillance des ressources. Ce cours s'adresse au public suivant : ● Architectes de solutions cloud et ingénieurs DevOps ● Personnes qui utilisent Google Cloud Platform pour créer des solutions, ou pour intégrer des systèmes, des infrastructures et des environnements applicatifs existants à cette plate-forme

Welcome to Art of the MOOC - Art, Culture and Society designed by artist and Duke professor Pedro Lasch and co-taught by an exciting cohort of experts in the field. This specialization is for learners of all levels, practicing artists, curators, art professionals, educators, students, and anyone interested in advancing their knowledge of contemporary art in both conventional and non-conventional settings. Covered topics include visual art, public interventions, social theory, sound art, experimental music, pedagogy outside educational contexts, activism, social justice movements, aesthetics, new media, and more. You will explore topics through a vast array of case studies, artworks, and theories from recent decades. Our fast-paced lectures are thoroughly researched but accessible, making them useful for non-academic learners, as well as formal students from high school to PhD and beyond. Also included are guest presentations from key thinkers and practitioners. Whether you are an artist wanting to connect with society at large, a curator seeking new ways to frame your practice, or someone who has no background in art but has always wanted to feel closer to it and understand it better, these courses are a fun and reliable way to get there. The cultural sector has become central to so many of the world's most interesting places and thriving economies. Be it for personal or professional reasons, this specialization will prepare you to engage with it on a solid foundation.

This beginner-to-intermediate Specialization takes you from Python setup and numerical computing to building, tuning, and explaining machine learning and deep learning models. Across three courses, you’ll master data wrangling with NumPy, visualization with Matplotlib and Seaborn, model evaluation and feature engineering, clustering and classification, and NLP workflows using NLTK. The curriculum is project-based and aligned with industry workflows so you graduate with portfolio-ready artifacts that showcase applied AI skills.