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• Technology

  Intermediate

  UI Design using Figma: Create a Weather App Interface

  In this 1-hour long project-based course, you will learn how to create a login screen for a weather app using Figma, incorporating input fields and a login button. You'll also design a home screen for the weather app displaying current weather conditions, and prototype the login and home screens together in Figma, demonstrating the ability to link screens and add basic interactions for seamless navigation. This course is designed for learners who want to build foundational skills in using Figma for UI design. This project will empower learners to create polished UI designs efficiently, regardless of prior experience, fostering confidence in using Figma for future projects. There are no hard prerequisites, and any individual with basic computer skills should be able to complete the project successfully, but some familiarity with Figma is recommended.

  View details: UI Design using Figma: Create a Weather App Interface
• Business

  All levels

  Banking Payments and Financial Services

  Learn how modern banks manage investments, treasury operations, electronic payment systems, and customer-focused financial services in today’s technology-driven banking environment. This course provides practical knowledge of banking operations, RBI regulations, treasury management, payment systems, CRM strategies, and financial inclusion initiatives used in modern banking institutions. The course begins with banking investment foundations and regulatory frameworks, helping learners understand bank investments, treasury functions, RBI reserve requirements, investment policies, and valuation norms used in banking operations. Learners will develop a strong understanding of how banks manage liquidity, compliance, and financial resources effectively. As the course progresses, learners explore banking operations, payment systems, and financial services, including foreign exchange operations, clearing systems, electronic payment methods, merchant banking, remittance services, and mutual fund operations. The course explains how digital banking services support operational efficiency and customer convenience. Advanced modules focus on customer-centric banking strategies, CRM practices, customer segmentation, competitive banking approaches, and Banking Ombudsman systems. Learners will understand how banks improve customer relationships and service quality in competitive financial markets. The course also covers banking technology, outsourcing practices, financial inclusion initiatives, Self-Help Group (SHG) models, and operational efficiency strategies that support inclusive and technology-enabled banking systems. What makes this course unique is its comprehensive industry-focused approach that combines treasury operations, payments, banking technology, CRM, and financial inclusion into one structured learning experience. By the end of the course, learners will be able to confidently analyze banking operations, evaluate financial services, understand digital payment systems, and apply practical banking concepts in modern financial environments.

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• Business

  Beginner

  Math for MBA and GMAT Prep

  This course gives participants a basic understanding of statistics as they apply in business situations. A fair share of students considering MBA programs come from backgrounds that do not include a large amount of training in mathematics and statistics. Often, students find themselves at a disadvantage when they apply for or enroll in MBA programs. This course will give you the tools to understand how these business statistics are calculated for navigating the built-in formulas that are included in Excel, but also how to apply these formulas in an range of business settings and situations.

  View details: Math for MBA and GMAT Prep
• Business

  Beginner

  Market and Competition in Pricing Strategy

  If you haven’t considered what the competition is charging, you may not be maximizing your revenue. Spend time analyzing the market and you can influence price and improve margins. In this course, we'll show you how to implement competitive pricing and avoid common legal pitfalls of market-based pricing. You will also learn how to predict, influence and respond to competitors’ pricing moves. Developed at the Darden School of Business at the University of Virginia, and led by top-ranked Darden faculty and Boston Consulting Group global pricing experts, this course provides an in-depth understanding of market-based pricing and how to use it to capture more revenue.

  720 min

  View details: Market and Competition in Pricing Strategy
• Business

  All levels

  Options Trading & Derivatives Analysis

  Master derivatives and options trading strategies to analyze financial markets and manage risk effectively. Learn how forwards, futures, swaps, and options work, and how traders use them in real-world markets. This course provides a structured introduction to derivative instruments and their applications in modern finance. You will explore forward contracts, futures, and swaps, understanding how these tools are used for hedging and speculation. You will then move into options markets, learning key concepts such as moneyness, intrinsic value, time value, and option pricing relationships. Practical examples will help you understand how option payoffs behave under different market conditions. As you progress, you will analyze market indicators such as open interest and option expiry behavior to interpret trading signals and market sentiment. The course also covers advanced options strategies including spreads, straddles, strangles, and protective hedging techniques used to manage volatility and risk. By the end of the course, you will be able to confidently analyze derivatives, interpret options markets, and apply structured trading and risk management strategies in real financial environments.

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• Technology

  Beginner

  Security Hardening

  This course helps you familiarize themselves with network hardening practices that strengthen network systems over time. Security professionals work against experiencing numerous security breaches, which is why it is important to take preliminary security measures to remain one step ahead of attackers. Malicious actors are constantly evolving in their intrusion methods and network security hardening is a defensive strategy that aims to prevent or lessen the chances of future attacks taking place. Security hardening also involves securing applications over cloud systems and addressing the unique security challenges posed by cloud infrastructures. By the end of this course, you will be able to: - Describe network and cloud hardening techniques that target network vulnerabilities - Describe OS hardening techniques - Describe network hardening techniques - Explain cloud security practices

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• Technology

  Intermediate

  Data for Machine Learning

  This course is all about data and how it is critical to the success of your applied machine learning model. Completing this course will give learners the skills to: Understand the critical elements of data in the learning, training and operation phases Understand biases and sources of data Implement techniques to improve the generality of your model Explain the consequences of overfitting and identify mitigation measures Implement appropriate test and validation measures. Demonstrate how the accuracy of your model can be improved with thoughtful feature engineering. Explore the impact of the algorithm parameters on model strength To be successful in this course, you should have at least beginner-level background in Python programming (e.g., be able to read and code trace existing code, be comfortable with conditionals, loops, variables, lists, dictionaries and arrays). You should have a basic understanding of linear algebra (vector notation) and statistics (probability distributions and mean/median/mode). This is the third course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute.

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• Technology

  Intermediate

  Select Topics in Python: Packaging

  Code and run Django websites without installing anything! This course is designed for learners who some experience with Python. The modules in this course cover modules and packages, third-party packages, and packing for distribution. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to slowly building features, resulting in large coding projects at the end of the course. Course Learning Objectives: Use pip to venv to manage virtual environments and packages Use third-party package managers to manage virtual environments and packages Package Python scripts and applications for a wider audience

  840 min

  View details: Select Topics in Python: Packaging
• Technology

  Beginner

  CompTIA Exam Prep

  This course is geared towards anyone looking to take the CompTIA A+ certification exam. This certification focuses predominately on computer support or helpdesk. This course gives you easy access to the invaluable learning techniques used by many in their preparation of the CompTIA A+ certification exam. We’ll learn about the exam process, expectations, and tip & tricks that can be used in passing the exam. Using these approaches, regardless of your skill levels in the topics and objective areas of the exam. If you’re already working in the industry or already have experience working as a helpdesk individual for a good length of time, this prep course will cover the more focused details about the exam. If you’re not as experienced, you’ll see not just the focus on exams details, but will also be given tips and tricks for passing the exam. You’ll also have some practice exploring some exam questions focusing in core concepts. If you’ve ever wanted to become certified as a CompTIA A+ technician, this course will help serve as your guide. This course has a wide array of exercises, such as videos, reading, peer review writing assignments, quizzes, and discussion questions. The only equipment needed is a computer with internet access. It is assumed that you have completed the Google CompTIA A+ course.

  View details: CompTIA Exam Prep
• Technology

  Intermediate

  Certified Kubernetes Security Specialist (CKS): Unit 3

  This course focuses on securing Kubernetes clusters by restricting API access and using strong role-based access control (RBAC). You’ll learn to manage user and service accounts securely, harden the API server, and configure access policies. The course also covers keeping your Kubernetes environment updated, including how to plan and execute upgrades with minimal downtime using KubeAdmin. By the end, you’ll have the skills to improve your cluster’s security and meet CKS certification standards.

  173 min

  View details: Certified Kubernetes Security Specialist (CKS): Unit 3
• General

  All levels

  The Holocaust - An Introduction (II): The Final Solution

  The Holocaust was an inconceivable historical event, which forever robbed Western culture of its innocence. As civilized human beings, we fail to understand how events of such horror could have taken place, and how an idea so inhumanly warped could have spread like wildfire through an entire continent, instigating the systematic annihilation of millions of Jews. This online course was produced jointly by Tel Aviv University and Yad Vashem – the World Holocaust Remembrance Center. This course is the second of the two courses and covers three themes in its three weeks: Week 1: The Final Solution We’ll look at the cultural and mental processes that paved the way to the comprehensive and systematic mass murder of Jews in Europe – that is, the Final Solution. As part of this hard lesson we will discuss the various characteristics of the murder sites and death camps, and reveal selected aspects of the horror that occurred in them. Week 2: Jewish and Non-Jewish Responses to the Holocaust We will try to explore questions regarding knowledge about the application of the Final Solution, as well as a variety of responses and annihilation of victims, local populations and perpetrators. Week 3: The End of the War We will dedicate this lesson to the events that occurred in the last years of the Holocaust, as well as questions of memory, commemoration and future research. We strongly recommend that you register for "The Holocaust - An Introduction (I): Nazi Germany: Ideology, The Jews and the World" as well (https://www.coursera.org/learn/holocaust-introduction-1/home/welcome). Taking both parts of the course would enable you to obtain a fuller and more comprehensive knowledge about The Holocaust. This online course is offered in an innovative, multi-level format, comprising: Comprehensive lectures by leading researchers from Tel Aviv University and Yad Vashem A wealth of voices and viewpoints presented by guest lecturers Numerous documents, photos, testimonies and works of art from the time of the Holocaust Novel learning experience: Crowdsourcing – involving the learners themselves in the act of collecting and shaping information, via unique, exciting online assignments

  270 min

  View details: The Holocaust - An Introduction (II): The Final Solution
• Technology

  All levels

  Image Classification with Keras: Build & Optimize

  Learners will be able to set up deep learning environments, upload and prepare datasets, apply transfer learning, visualize CNN layers, create models with image augmentation, evaluate performance, and retrain models for improved accuracy. This course provides a complete, hands-on journey into image classification using Keras, guiding learners from the basics of project setup in Google Colab to advanced techniques such as intermediate layer visualization and retraining for optimization. By working step-by-step through real-world scenarios, participants will gain not only theoretical knowledge but also practical skills in building, training, and improving convolutional neural networks (CNNs). What makes this course unique is its project-based approach, integrating cloud-based tools, pretrained models, and visualization methods that help learners truly understand how deep learning works under the hood. By the end, learners will be empowered to apply best practices in image classification, enhance model performance, and confidently tackle similar projects in research, academia, or industry.

  View details: Image Classification with Keras: Build & Optimize