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Udemy Helps Learners Remain at the Forefront of Emerging Generative AI Skills with New Content
Udemy (Nasdaq: UDMY), a leading online skills marketplace and learning platform, today announced the launch of a new course, "Ultimate AWS Certified AI Practitioner AIF-C01" created by celebrated Udemy instructor, Stephane Maarek. As demand for generative artificial intelligence (GenAI) content continues to surge across the Udemy platform, this new course provides learners with the most up-to-date knowledge of GenAI, AI, and machine learning (ML) concepts to prepare for the new AWS Certified AI Practitioner exam, solidifying the speed-to-market advantage Udemy has through its marketplace model. "I'm grateful that Udemy allows me to identify emerging trends within my subject areas, enabling me to create new courses ahead of the market for more than 2.6 million learners enrolled in my courses," said Maarek. "The advanced tools provided by Udemy also allow me to continuously update my courses as new information is available on AWS certification exams, ensuring that learners are always up-to-speed with what they need to successfully complete their certification exams and stay competitive in their careers." GenAI continues to reshape the global skills landscape, with professionals dedicated to mastering new AI trends and showcasing their proficiency to employers. Udemy's Q1 2024 Global Workplace Learning Index reported a 21% increase in GenAI course consumption, reflecting the workplace's continued pursuit of innovative AI models. "We are seeing firsthand how GenAI and AWS skills are rapidly transforming industries through the huge demand for these competencies from professionals across various fields," said Scott Rogers, Senior Vice President of Instructor and Content Strategy at Udemy. "We provide timely, high-quality resources that empower individuals to learn about the latest technologies to help them acquire industry-leading certifications. By offering courses that keep pace with the latest advancements and certification requirements, we are helping to bridge the skills gap in this critical area." Designed for professionals from a variety of backgrounds, Maarek's new course covers GenAI and broader AI/ML concepts. It teaches learners how to identify opportunities for AI applications and provides guidance on the responsible use of AI tools. The course is available to individuals on the Udemy marketplace as well as enterprise customers through Udemy Business. Maarek also designed practice exams for the AWS Certified AI Practitioner (AIF-C01) certification, which learners can register for starting August 13. Maarek is a serial founder, former CEO of DataCumulus, solutions architect, consultant, and software developer specializing in Big Data, Cloud, and APIs. He is a recognized expert having secured nine AWS certifications, including AWS Certified Solutions Architect Professional and AWS Certified DevOps Professional. He also actively contributes to the Apache Kafka community. To adopt key skills for becoming an AWS Certified AI Practitioner, visit www.udemy.com/course/aws-ai-practitioner-certified/. About Udemy Udemy (Nasdaq: UDMY) transforms lives through learning by ensuring everyone has access to the latest and most relevant skills. Through the Udemy Intelligent Skills Platform and a global community of diverse and knowledgeable instructors, millions of learners gain expertise in a wide range of technical and professional skills -- from generative AI to leadership. The Udemy marketplace provides learners with thousands of up-to-date courses in dozens of languages, offering a variety of solutions to achieve their goals. Udemy Business empowers enterprises to offer on-demand learning for all employees, immersive learning for tech teams through Udemy Business Pro, and cohort learning for leaders through Udemy Business Leadership Academy. Udemy Business customers include Fender, Glassdoor, On24, The World Bank and Volkswagen. Udemy is headquartered in San Francisco with hubs in Austin and Denver, USA; Ankara and Istanbul, Türkiye; Dublin, Ireland; Melbourne, Australia; and Chennai, Gurugram and Mumbai, India.
Market Screener
Tue, 30 Jul, 4:10 PM UTC
Coursera's cutting-edge Academic Integrity features uphold learning standards amid GenAI challenges
Dubai, UAE: Coursera, a global online learning platform, has introduced a new suite of GenAI-powered features designed to enhance the authenticity and verification of learning experiences for students, educators, and employers. These features aim to increase the value of online assessments, courses, and certificates by reducing the risks associated with student misconduct. Available within the Coursera for Campus platform and currently in pilot with select customers, the new features include Coursera's AI-Assisted Grading, Proctoring and lockdown browser, and AI-based Viva Exams. These tools are designed to support assessment creation and grading, and enhance learning and evaluation amidst the rise of AI-assisted fraudulent practices. Studies indicate that 1 in 6 university students cheat in online exams, highlighting the urgent need for robust academic integrity measures. Coursera's new GenAI tools aim to proactively address this challenge by fostering integrity and detecting academic malpractices, ensuring a more reliable and credible online learning environment. "Online learning has become a powerful tool for institutions to better prepare students for a rapidly changing world. However, universities must ensure it meets the rigorous standards required for academic credit," said Jeff Maggioncalda, CEO of Coursera. "While Generative AI introduces new risks for student misconduct, it also provides unprecedented opportunities for universities to enhance academic integrity at scale." Coursera is leveraging AI to tackle the challenges of assessment creation and grading at scale. The AI Assessment Generator saves educators' time by generating diverse math, text, and multiple-choice assessments tailored to courses and seamlessly integrating them into assignments. Question Banks and Variants offer a variety of questions and multiple variants for robust testing, making exams difficult to predict and easier to author. And through AI-Assisted Grading, institutions can streamline grading by suggesting scores and feedback based on assignment analysis, with final decisions remaining with graders. To strengthen academic integrity, tools such as Graded Item Locking require students to complete each lesson item to unlock graded items, promoting comprehensive learning and preventing skipping ahead. Coursera also ensures fairness and discourages trial and error by controlling exam attempts through Time and Attempt Limits. Exam integrity is further maintained through Proctoring and a lockdown browser that blocks unauthorized resources and detects unauthorized assistance during high-stakes exams. Additionally, a Plagiarism Detection tool instantly identifies content similar to previous submissions, deterring plagiarism and educating students on independent thinking and originality. Enhancing the learning and evaluation experience, Coursera Coach, a personalized tutor powered by GenAI, provides interactive learning assistance, lecture summaries, guided practice with spaced repetition, and tailored pre-assessment reviews. The AI-based Viva Exam tests the authenticity and critical thinking in students' written submissions, enabling educators to conduct viva-style written exams where students 'show their work' and graders receive detailed analysis. Coursera is also enhancing peer feedback with AI-powered insights, evaluating text-based submissions and generating grades using assignment rubrics. To learn more about Coursera for Campus academic integrity features, visit coursera.org/campus/academic-integrity. -Ends- About Coursera: Coursera was launched in 2012 by two Stanford Computer Science professors, Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 148 million registered learners as of March 31, 2024. Coursera partners with over 325 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, Guided Projects, and bachelor's and master's degrees. Institutions around the world use Coursera to upskill and reskill their employees, citizens, and students in fields such as data science, technology, and business. Coursera became a Delaware public benefit corporation and a B Corp in February 2021. Media contact: Mai Elsayed Burson Mai.Elsayed@bcw-global.com
Zawya.com
Mon, 5 Aug, 12:03 PM UTC
ISRO Offers This Free AI And ML Course. Check Dates, How To Apply And Curriculum
The online course is part of the Indian Institute of Remote Sensing Outreach Programme, which has significantly expanded since its inception in 2007. There is great news for people who have dreamt of studying at ISRO. The Indian Space Research Organisation (ISRO) and Indian Institute of Remote Sensing (IIRS) have started inviting the application process for a five-day online course on Artificial Intelligence (AI) and Machine Learning (ML). The course aims at equipping students with the basics of AI and ML. It is scheduled to start from August 19 till August 23, 2024. Participants who are interested in enrolling can apply from: elearning.iirs.gov.in/edusatregistration. Registration approval is automatic and login credentials for the ISRO LMS will be issued upon successful registration. The online course is part of the IIRS Outreach Programme, which has significantly expanded since its inception in 2007. Initially launched with 12 universities and institutions, the programme now includes over 3,500 network institutes, benefiting a wide range of participants, including academic institutions, government departments, research institutes, geospatial industries and NGOs. This course is ideal for professionals looking to familiarize themselves with the knowledge of AI, ML, and Deep Learning (DL), especially in the context of geospatial applications. Students and researchers studying in disciplines like computer science, data analytics, geoinformatics, geomatics, and civil engineering will also find it to be of great relevance. Although the course is free of cost, the seats are limited. Registrations for this course will be accepted on a first-come, first-served basis. The curriculum of this course provides a detailed exploration of AI, ML and DL concepts. It covers a wide range of topics, including introduction to AI/ML and DL, various machine learning methods such as supervised, unsupervised and reinforcement learning, and advanced deep learning techniques such as CNN, RNN, R-CNN, Faster RCNN, SSD and YOLO. Apart from this, the course includes practical applications through Google Earth Engine and Python programming to develop machine and deep learning models. All the study material, including lecturer slides, video recordings and handouts, will be available on the eClass platform, which will help the students to access the resources easily. Participants who will complete the course with a 70 per cent attendance will be awarded a 'Course Participation Certificate'. The certificate will be available on the ISRO Learning Management System LMS. Participants can download it from the ISRO LMS.
News18
Thu, 8 Aug, 2:00 PM UTC
Free AI Courses from Stanford University
Students and professionals desirous of knowledge and skills in the fastest-growing field have not been locked out, as Stanford University released its Artificial Intelligence free courses online, handling machine learning, deep learning, and computer vision. The esteemed institution at Stanford offers these classes virtually. The article below tries to explain some of the most renowned free AI courses from Stanford University, their benefits, and how you can join these classes. Probably the most famous and influential course is that of Stanford's Machine Learning course taught by Professor Andrew Ng. Originating as a Stanford University course, it is now free on Coursera. The class is about giving a broad introduction to machine learning, data mining, and statistical pattern recognition. 1. A learner shall get to know the basics of machine learning, supervised and unsupervised learning, and best practices in AI. The material includes topics on algorithms, linear, and logistic regression, and neural networks. 2. Taught by Andrew Ng, one of the most prominent authorities in AI and the co-founder at Coursera, the class leverages his best-in-class mastery and clear teaching. Makes learners at all levels truly grasp complex concepts. 3. The course takes one through practical exercises and projects that interlink the gained knowledge to actual problems in the real world, hence the great enhancement of learning. Gain applied skills throughout the course. 4. It is self-paced and accommodates all manner of learners from beginners to experts looking to deepen their machine learning skills. These benefits make it one of the top free online courses for AI and Machine Learning.
Analytics Insight
Thu, 8 Aug, 2:06 PM UTC
AI-Based Coding Course You Can't Miss Out On
AI educator and DeepLearning.AI founder Andrew Ng is on a roll with his new course offerings. In August alone, he launched four new courses focusing on LMMs, coding and AI application building. And the one that stood out was AI Python for Beginners, where users (beginners and developers) can learn coding with the help of an AI assistant. Meanwhile, here are a few AI-based coding courses that offer a beginner-friendly guide to coding: AI Python for Beginners This course is structured into four parts and is designed for absolute beginners. It covers the fundamentals of Python programming and its application in AI. Participants will learn: By the end of the course, learners will be able to write Python scripts that interact with large language models and automate various tasks, preparing them for more advanced AI applications. AI Programming with Python for Beginners on FutureLearn This course is structured into weekly modules designed for beginners with no prior programming experience. It covers the fundamentals of Python programming and its application in data analysis and visualisation. Participants will learn: By the end of the course, participants will be able to write Python scripts to automate data-related tasks, analyse datasets and create visualisation of data. This foundation will prepare them for more advanced applications in AI and machine learning. AI Programming with Python Nanodegree on Udacity This program is divided into four main projects and is designed for beginners with no prior experience in AI. It covers the essential skills needed for AI programming using coding languages like Python, NumPy and Pandas. Participants will learn: By completing the program, participants will have built a portfolio of AI projects and gained the necessary skills to start building their own AI applications using Python. The projects are designed to be challenging, providing hands-on experience in AI programming. Artificial Intelligence: Reinforcement Learning in Python on Udemy This course is divided into two sections covering various reinforcement learning algorithms and their implementation in Python. Participants are expected to have basic prior knowledge of calculus, probability and Python programming. This course will explore: By the end of the course, participants will have a deep understanding of reinforcement learning and the ability to implement 17 different algorithms using Python. The course projects cover a wide range of applications, from classic control problems to modern game-playing AI. Python for Everybody Specialisation by the University of Michigan on Coursera This specialisation consists of five courses and is designed for beginners with no prior programming experience. It provides a comprehensive introduction to Python programming and its applications in data analysis and visualisation. Participants will explore: By completing this specialisation, learners will have a strong foundation in Python programming and be prepared to apply their skills in various domains, including AI and machine learning. The capstone project allows learners to showcase their skills by building a data analysis application.
Analytics India Magazine
Wed, 11 Sept, 10:06 AM UTC
