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• Technology

  Beginner

  Make.com for Beginners: LinkedIn Post Automation With GPT-4

  Did you know that automating LinkedIn posts can streamline your content strategy and save valuable time? This Guided Project is designed to help social media managers and marketers effectively use Make.com for automating LinkedIn content. In this 2-hour course, you'll learn to set up accounts, integrate APIs, create automation triggers, and generate platform-specific content and images. In this project you'll apply these skills in a real-world scenario by automating a LinkedIn post for a cryptocurrency company, ensuring a consistent and engaging online presence. This project stands out because it provides hands-on experience with cutting-edge AI and automation tools, significantly enhancing your digital marketing capabilities. No prior experience with Make.com or APIs is needed, but a basic understanding of social media and content creation concepts will be helpful.

  120 min

  View details: Make.com for Beginners: LinkedIn Post Automation With GPT-4
• Technology

  Advanced

  Serverless Data Processing with Dataflow: Develop Pipelines

  In this second installment of the Dataflow course series, we are going to be diving deeper on developing pipelines using the Beam SDK. We start with a review of Apache Beam concepts. Next, we discuss processing streaming data using windows, watermarks and triggers. We then cover options for sources and sinks in your pipelines, schemas to express your structured data, and how to do stateful transformations using State and Timer APIs. We move onto reviewing best practices that help maximize your pipeline performance. Towards the end of the course, we introduce SQL and Dataframes to represent your business logic in Beam and how to iteratively develop pipelines using Beam notebooks.

  1260 min

  View details: Serverless Data Processing with Dataflow: Develop Pipelines
• Business

  Intermediate

  Organizations of the Future

  This course equips you to design, lead, and transform high-performing organizations in a rapidly changing world. Over five immersive weeks, you’ll learn how to craft a powerful organizational purpose, manage diverse stakeholders, shape culture, redesign structures and processes for agility, and integrate diversity, ethics, and leadership into everyday practice. By completing the program, you will be able to develop future-ready workforce strategies, build inclusive and innovative teams, and create organizational blueprints that drive sustainable performance. Real-world readings, practice quizzes, discussion prompts, and graded assessments help you immediately apply concepts to your own context. What makes this course unique is its holistic and forward-looking approach: rather than treating design, culture, and people management as separate topics, it shows you how they interlock to produce adaptable, ethical, and resilient organizations. Whether you’re an emerging leader or a seasoned professional, you’ll finish with actionable tools and frameworks to future-proof your organization and your career.

  View details: Organizations of the Future
• Business

  Beginner

  Design Thinking and Innovation

  In a world filled with pressing challenges, Design thinking offers a methodology that can transform lives and benefit people at large. At the heart of such design thinking is empathy and concern, a powerful enabler that helps bring ideas to life. This course explains the ‘7 CONCERNS OF INNOVATION’ that is involved in the design thinking process for a new product. Emphasising the iterative nature of innovation, this course also underscores the importance of navigating potential pitfalls at critical stages to prevent failure. Through engaging case studies, witness how these concerns shape the innovation process, driving it towards impactful solutions. The "7 CONCERNS" are as follows: The CAUSE: Understanding the underlying reasons behind users' needs and challenges by empathising with them. The CONTEXT: Understanding the environment and conditions in which the product will be used, including the cultural, social, and economic factors. The COMPREHENSION: Gaining a deep understanding of users' needs, desires, and pain points through research, observations, and interviews. The CHECK: Evaluating and validating assumptions and insights gathered during the comprehension stage to ensure they accurately represent user needs. The CONCEPTION: Generating a wide range of ideas to address the problem defined, encouraging creativity and brainstorming to explore different solutions. The CRAFTING: Creating prototypes or mock-ups of the selected ideas to visualise and test them, allowing for quick iteration and refinement. The CONNECTION: Testing prototypes with users to gather feedback and insights, observing how they interact with the product and listening to their suggestions. With meticulous effort, constant user interaction, and effective collaboration, we shall learn to create solutions that truly meet those needs. By the end of this course, you are bound to become change-makers, empowered to devise brilliant and impactful solutions that enhance the lives of everyday people. Let us harness the power of Design Thinking to make a meaningful impact on the world.

  1050 min

  View details: Design Thinking and Innovation
• Technology

  Beginner

  Datadog: Getting started with the Helm Chart

  This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use the Datadog Helm Chart. In this lab you will run the Datadog Agent in a Kubernetes cluster as a DaemonSet in order to start collecting your cluster and applications metrics, traces, and logs. You can deploy a Datadog Agent with a Helm chart or directly with a DaemonSet object YAML definition. In this lab you will be explaining and using those options in a real cluster, checking in real time the features they enable.

  60 min

  View details: Datadog: Getting started with the Helm Chart
• Technology

  Intermediate

  Python Debugging Capstone Project: Fixing and Extending Code

  In “Python Debugging Capstone Project: Fixing and Extending Code,” you will undertake a comprehensive coding project that demonstrates your ability to use NumPy, pandas, and SciPy for advanced data manipulation and scientific computing. You will use the skills and best practices learned throughout the series to debug and analyze real-world data. This project will involve working with complex datasets, requiring you to implement data structures and handle missing data. You will engage in systematic debugging using the OILER framework – Orient, Investigate, Locate, Experiment, and Reflect – learned in the first course within the series and other advanced troubleshooting techniques. By the end of the course, you will know how to properly document your processes through clean, maintainable code notebooks.

  1200 min

  View details: Python Debugging Capstone Project: Fixing and Extending Code
• Technology

  Beginner

  Evaluating Designs with Users

  When designing systems that work for users, there is no substitute for watching them try to use the system to see what works and what doesn’t. In this UX course, you will learn how to design and conduct tests with users that will tell you how effective your design is for helping users do what they need to do, and how they feel about using your system. This course is part of the User Experience (UX) Research and Design specialization offered on Coursera. What you'll learn: Identify different approaches to user testing and their appropriate use Understand how to design an effective user test Understand how to run an effective user test to get the most information possible out of each encounter Analyze and report on user testing

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• Technology

  Intermediate

  Building Intelligent Troubleshooting Agents

  This course focuses on the design and implementation of intelligent troubleshooting agents. You will learn to create AI-powered agents that can diagnose and resolve issues autonomously. The course covers natural language processing, decision-making algorithms, and best practices in AI agent development. By the end of this course, you will be able to: 1. Define, describe, and design the architecture of an intelligent troubleshooting agent. 2. Implement natural language processing techniques for user interaction. 3. Develop decision-making algorithms for problem diagnosis and resolution. 4. Optimize and evaluate the performance of AI-based troubleshooting agents. To be successful in this course, you should have intermediate programming knowledge of Python, plus experience with AI & ML infrastructure and core algorithms and techniques, including approaches using pretrained large-language models (LLMs). Familiarity with statistics is also recommended.

  2250 min

  View details: Building Intelligent Troubleshooting Agents
• Technology

  Beginner

  Reproducible Templates for Analysis and Dissemination

  This course will assist you with recreating work that a previous coworker completed, revisiting a project you abandoned some time ago, or simply reproducing a document with a consistent format and workflow. Incomplete information about how the work was done, where the files are, and which is the most recent version can give rise to many complications. This course focuses on the proper documentation creation process, allowing you and your colleagues to easily reproduce the components of your workflow. Throughout this course, you'll receive helpful demonstrations of RStudio and the R Markdown language and engage in active learning opportunities to help you build a professional online portfolio.

  View details: Reproducible Templates for Analysis and Dissemination
• Technology

  Intermediate

  Certified Kubernetes Security Specialist (CKS): Unit 4

  This course teaches you how to strengthen your cluster’s underlying systems by reducing the host operating system’s attack surface. You’ll learn host hardening, how to remove unnecessary services, and set up logging and access controls. You'll cover network security, host firewalls, and kernel hardening with tools like SecComp and AppArmor. You’ll also focus on identity and access management, applying least privilege and understanding RBAC risks. Each lesson provides practical strategies to make your Kubernetes environments more secure and prepare you for the CKS exam.

  175 min

  View details: Certified Kubernetes Security Specialist (CKS): Unit 4
• Technology

  Beginner

  DP-900 Azure Data Fundamentals

  This course provides a foundational understanding of core data concepts and how they are implemented using Microsoft Azure data services. Through structured modules, learners will explore relational and non-relational data models, data storage solutions, database management systems, and the process of integrating, analyzing, and visualizing data using Azure’s modern cloud ecosystem. Participants will gain practical experience through demonstrations and quizzes that reinforce concepts such as data representation, normalization, structured query language (SQL), Azure SQL Database, Cosmos DB, Azure Data Factory, and Power BI. By the end of this course, learners will be prepared to identify appropriate data solutions for various business scenarios, describe capabilities of Azure data services, and confidently pursue the Microsoft DP-900 certification exam.

  840 min

  View details: DP-900 Azure Data Fundamentals
• Technology

  Beginner

  Software Development Processes and Methodologies

  Software is quickly becoming integral part of human life as we see more and more automation and technical advancements. Just like we expect car to work all the time and can't afford to break or reboot unexpectedly, software industry needs to continue to learn better way to build software if it were to become integral part of human life. In this course, you will get an overview of how software teams work? What processes they use? What are some of the industry standard methodologies? What are pros and cons of each? You will learn enough to have meaningful conversation around software development processes. After completing this course, a learner will be able to 1) Apply core software engineering practices at conceptual level for a given problem. 2) Compare and contrast traditional, agile, and lean development methodologies at high level. These include Waterfall, Rational Unified Process, V model, Incremental, Spiral models and overview of agile mindset 3) Propose a methodology best suited for a given situation

  840 min

  View details: Software Development Processes and Methodologies