The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Creo Incubator
Cultivating Executive Presence
The CREO Cultivating Executive Presence Course supports professionals in developing the skills required to communicate with clarity, confidence, and credibility in senior and high-stakes environments. The course focuses on executive presence as a practical capability that influences how ideas are received, decisions are shaped, and leadership potential is perceived. Participants explore the core elements of executive presence, including communication style, confidence, composure, and influence. Through applied frameworks and structured practice, learners develop techniques to speak with intention, present ideas with authority, and adapt their presence to different professional contexts. The course also examines how non-verbal communication, mindset, and situational awareness contribute to perceived leadership effectiveness. By emphasising clarity, alignment, and authenticity, the course enables learners to strengthen their impact in meetings, presentations, and decision-making forums without relying on performative or inauthentic behaviours. By the end of this course, you will be able to: - Identify the key components of executive presence - Demonstrate confident and purposeful communication in professional settings - Apply techniques to influence discussions and decision-making - Adapt communication style and presence to different leadership contexts - Evaluate and refine personal presence based on feedback Prerequisites: - No prior leadership or executive experience is required. The course is suitable for professionals, emerging leaders, and individuals seeking to strengthen their professional presence and influence.
Infosec
JavaScript Security Part 2
This course covers Expressions, Prototype Pollution and Ecosystem Modules (npm) and Supply Chain.
Illinois Tech
Leadership & Organization Design
To succeed in today’s knowledge intensive organizations managers need to understand how individual differences in personality, learning style and cultural values, group dynamics, organizational culture, and human resource management policies shape employee attitudes and behaviors. This course teaches managers creative problem-solving and ethical decision-making, change management, leadership techniques for enhancing social capital and influencing other organizational members, and management tools for multicultural and geographically dispersed teams. Pre-Requisites: None Required Textbook: Organizational Behavior. (2017). University of Minnesota Libraries Publishing Edition. Open Textbook Library, https://open.umn.edu/opentextbooks/textbooks/30 Other Required Materials: Articles from academic journals and other reputable sources. Software Requirements: Microsoft Office Suite & Google WorkSpace.
Coursera
Automate, Validate, and Promote ML Models Safely
Did you know that over 50% of machine learning failures in production come from unmanaged data drift, unsafe rollouts, or unmonitored retraining pipelines? Automating your ML lifecycle is the key to keeping models both powerful and trustworthy. This short course was created to help ML and AI professionals operationalize machine learning systems with robust performance monitoring, governance compliance, and automated lifecycle management in production environments. By completing this course, you will be able to automate, validate, and safely promote machine learning models using CI/CD pipelines, compliance checks, and drift-triggered retraining—skills you can apply immediately to improve reliability and control in your ML operations. By the end of this 4-hour long course, you will be able to: • Analyze pipeline logs to identify performance bottlenecks. • Evaluate CI/CD policies for responsible AI compliance and rollback safety. • Create an automated pipeline for model retraining and promotion triggered by data drift. This course is unique because it unites MLOps automation, ethical AI governance, and continuous delivery—helping you build intelligent pipelines that retrain and adapt responsibly without sacrificing speed or safety. To be successful in this project, you should have: • ML fundamentals and Python proficiency • Basic CI/CD pipeline knowledge • Familiarity with data versioning • Experience with cloud platforms (AWS, Azure, or GCP)
University of California, Irvine
English for Developing a Business
This course will help you learn English vocabulary related to topics of business leadership and organization. The lessons on business communication and working globally present you with some phrases and skills for interacting in business environments. This is important for your business success in English. We will also talk about important language skills such as small talk, gerunds, word forms, and comparatives. Becoming familiar with these topics and skills in English will help you as you progress on your pathway in business.
Pearson
Cisco Certified Support Technician IT Support 100-140 Unit 5
This course takes you deep into troubleshooting and managing Windows, Mac, and mobile operating systems, equipping you with the practical skills needed to resolve common user issues and optimize device performance. You’ll learn how to configure display settings, manage device encryption, and handle updates and application compatibility. Discover best practices for backing up personal data, clearing browser caches, and using tools like Task Manager and Activity Monitor to manage system processes. The course also covers mobile device management, email setup, and troubleshooting for iOS and Android devices, as well as collaboration software and app installation. Special attention is given to accessibility features and power management, ensuring you can support diverse user needs. By the end of this module, you’ll be ready to confidently address a wide range of operating system and application challenges.
Google Cloud
Introduction to Image Generation - Bahasa Indonesia
Kursus ini memperkenalkan model difusi, yaitu kelompok model machine learning yang belakangan ini menunjukkan potensinya dalam ranah pembuatan gambar. Model difusi mengambil inspirasi dari fisika, khususnya termodinamika. Dalam beberapa tahun terakhir, model difusi menjadi populer baik di dunia industri maupun penelitian. Model difusi mendasari banyak alat dan model pembuatan gambar yang canggih di Google Cloud. Kursus ini memperkenalkan Anda pada teori yang melandasi model difusi dan cara melatih serta men-deploy-nya di Vertex AI.
Pearson
Introduction to Transformer Models for NLP: Unit 1
This course covers the development of natural language processing (NLP), starting with basic concepts and moving to modern transformer architectures. You will learn about attention mechanisms and their impact on language modeling, as well as the details of transformer models, including scaled dot product attention and multi-headed attention. The course includes practical exercises in transfer learning using pre-trained models such as BERT and GPT, with instruction on fine-tuning these models for specific NLP tasks in PyTorch. By the end, you will understand the theory behind current NLP models and gain practical experience in applying them to real-world problems.
Skillshare
Cinematic Lighting in Maya: Interior & Character Lighting
This course is taught by Abraham Leal from Nexttut, an industry professional with over 11 years of experience leading projects at Critical Hit Studio. His focus on combining technical knowledge with visual storytelling makes this course stand out. By the end of this course, you’ll be able to light and render interior environments and characters with cinematic precision. You will create atmospheric effects like fog, use gobos for dramatic texture, add secondary lights for realism, and explore time-of-day lighting setups such as golden hour, midday, and night. You’ll also practice camera angles and rendering techniques for character presentations. This course is for intermediate 3D artists who want to expand their lighting portfolio with compelling interior scenes and character renders. To succeed, you should be familiar with Maya navigation and Arnold rendering basics, and have Photoshop installed for post-production workflows. Whether you’re showcasing props, characters, or architectural environments, this course will teach you how to control light to evoke mood, atmosphere, and storytelling impact in your renders. Instructor bio: Abraham Leal from Nexttut welcomes you to Nexttut Education. We only create courses with highly talented professionals who has at least 5+ years off experience working in the film and game industry. The single goal of Nexttut Education is to help students to become a production ready artist and get jobs wherever they want. We are committed to create high quality professional courses for 3d students. If you are a student learning from any local institution or a 3d artist who has just started working in the industry or an artist who has some years of experience, you have come to the right place.
Coursera
Facebook Monetization: Collaborate with Brands
Turn your Facebook presence into a revenue-generating asset. In this course, you’ll explore Facebook’s key monetization features—including Stars, Subscriptions, Paid Online Events, and Shops—and learn how to assess eligibility, align strategies with your content, and build multiple income streams. You’ll develop a 90-day monetization plan tailored to your audience and goals, a crucial skill for creators, entrepreneurs, and social media managers aiming to sustain and scale their online presence.
Politecnico di Milano
Trustworthy AI for Healthcare Management
This MOOC gives an introduction to trustworthy artificial intelligence and its application in healthcare. This includes modules on basics of artificial intelligence and an introduction to trustworthy and ethical applications of artificial intelligence. A dedicated lesson will present the Z-Inspection® process for assessing trustworthy AI, and real-world case studies will illustrate how to apply the knowledge. The course is aimed at healthcare professionals, patients, and AI practitioners. It does not require previous knowledge on AI. Participants will learn: - How AI systems work and learn - What tasks can be solved by AI - Common challenges for AI in healthcare - Fundamentals of Trustworthy AI - How to assess Trustworthy AI - How Trustworthy AI assessments look in practice This course was developed by Goethe University Frankfurt as part of the research project 'Pan-European Response to the Impacts of the COVID-19 and future Pandemics and Epidemics' (PERISCOPE). Funded by the European Commission Research Funding programme Horizon 2020 under the Grant Agreement number 101016233, PERISCOPE investigates the broad socio-economic and behavioural impacts of the COVID-19 pandemic, to make Europe more resilient and prepared for future large-scale risks. PERISCOPE website: https://www.periscopeproject.eu/
Meta
Job Search with GenAI
This course will guide you through the job search process, step by step, using the latest advancements in generative AI. From setting clear career goals to crafting standout resumes and preparing for interviews, this course provides practical skills and innovative tools to help you feel more confident and prepared. Whether you’re just starting your career or looking for your next opportunity, this course offers a supportive and modern approach to navigating today’s job market. In this course, you will learn: • How to create a strategic job search plan • Techniques for crafting personalized resumes and cover letters using generative AI • Ways to optimize your LinkedIn profile and network effectively • Strategies for preparing for interviews • How to handle job offers and rejections with confidence By the end of this course, you’ll have a clear plan, stronger tools, and renewed confidence to navigate your job search successfully.
Packt
Artificial Intelligence for Robotics
This course dives deep into the integration of artificial intelligence and machine learning within robotics. You will learn to build intelligent robots capable of performing real-world tasks using ROS 2, Python, OpenCV, and advanced AI/ML techniques. By focusing on neural networks, computer vision, and natural language processing, this course will help you enhance robot functionality for complex tasks. Throughout the course, you will improve your skills in applying AI and ML techniques, implementing object recognition systems, and navigating robots. The content is designed for hands-on learning, allowing you to work on practical problems while developing a real-world understanding of intelligent robotics systems. What sets this course apart is its unique combination of theory and practical application. The course integrates state-of-the-art AI/ML concepts into the design and development of robotics projects, equipping you with the tools to work on intelligent robot systems. The hands-on approach makes the theoretical knowledge more accessible and applicable in real-life scenarios. This course is perfect for robotics engineers, AI/ML enthusiasts, and students with a background in Python and electronics. If you're looking to create smarter, more capable robots, this course will help you take your skills to the next level.
Coursera
تتبع إجراءات زبائن الموقع باستخدام فيسبوك بيكسل
في هذه الدورة التدريبية القائمة على الشروع والتي تستغرق ساعة واحدة، ستتعلم عن فيسبوك بيكسل وإنشاء حساب عمل وكيفية ربط فيسبوك بيكسيل بالموقع الالكتروني. في نهاية هذه الدورة ستصبح قادراً على تتبع إجراءات زبائن الموقع مع فيسبوك بيكسيل.
Packt
Disaster Recovery and Business Continuity
This course focuses on disaster recovery and business continuity, providing professionals with essential strategies for managing both IT and non-IT risks. It covers data protection, crisis management, and the creation of effective contingency plans to ensure organizational resilience. The course will help learners implement practical disaster recovery strategies, assess risks, and develop business continuity plans tailored to their organizational needs. Participants will walk away with the skills to safeguard their businesses against disruptions. What sets this course apart is its integration of both technical and human factors in continuity planning, ensuring a holistic approach to resilience. Learners will also explore real-world scenarios, making the content immediately applicable. Ideal for IT managers, risk officers, and continuity planners, this course assumes a foundational understanding of IT infrastructure and risk management to maximize the benefits. This course has been packaged and distributed by Packt Publishing on behalf of IT governance Publishing. Copyright © Thejendra B.S 2007, 2008, 2014 The author has asserted the rights of the author under the Copyright, Designs and Patents Act, 1988, to be identified as the author of this work. First published in the United Kingdom in 2007 by IT Governance Publishing: 978-1-905356-19-5 Second edition published in 2008: 978-1-905356-38-6 Third edition published in 2014. Every possible effort has been made to ensure that the information contained in this course is accurate at the time, and the publisher and the author cannot accept responsibility for any errors or omissions, however caused. Any opinions expressed in this book are those of the author, not the publisher. Websites identified are for reference only, not endorsement, and any website visits are at the reader’s own risk. No responsibility for loss or damage occasioned to any person acting, or refraining from action, as a result of the material in this publication can be accepted by the publisher or the author. Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form, or by any means, with the prior permission in writing of the publisher or, in the case of reprographic reproduction, in accordance with the terms of licences issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publisher at the following address: IT Governance Publishing Ltd Unit 3, Clive Court Bartholomew’s Walk Cambridgeshire Business Park Ely, Cambridgeshire CB7 4EA United Kingdom www.itgovernancepublishing.co.uk
Alberta Machine Intelligence Institute
Machine Learning Algorithms: Supervised Learning Tip to Tail
This course takes you from understanding the fundamentals of a machine learning project. Learners will understand and implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees, k-nearest neighbours and support vector machines are optimally used. Learners will also gain skills to contrast the practical consequences of different data preparation steps and describe common production issues in applied ML. To be successful, 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 second course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute.