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Google: Google AI for Anyone
A course for anyone to learn what AI is and how it works.
UMontrealX: Recommender Systems: Behind the Screen
How are items recommended when you’re browsing for movies, jobs or clothing online? Register here and you’ll discover the fundamental concepts and methods allowing the most relevant item suggestions to users from e-commerce to online advertisement.
Statistics.comX: Applied Data Science Ethics
AI’s popularity has resulted in numerous well-publicized cases of bias, injustice, and discrimination. Often these harms occur in machine learning projects that have the best of goals, developed by data scientists with good intentions. This course, the second in the data science ethics program for both practitioners and managers, provides guidance and practical tools to build better models and avoid these problems.
HarvardX: Introduction to Data Science with Python
Learn the concepts and techniques that make up the foundation of data science and machine learning.
LinuxFoundationX: Open Source and the 5G Transition
Open source software and standards are driving the transition to 5G, AI and IoT. Learn what open source technologies matter most and why.
Statistics.comX: Principles of Data Science Ethics
Concern about the harmful effects of machine learning algorithms and AI models (bias and more) has resulted in greater attention to the fundamentals of data ethics.
Statistics.comX: MLOps1 (GCP): Deploying AI & ML Models in Production using Google Cloud Platform
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: MLOps1 (GCP) - Deploying AI & ML Models in Production using Google Cloud Platform
UMontrealX: Bias and Discrimination in AI
Discover how even computer algorithms may be biased and have a serious impact on our every day lives. In this MOOC, based on an IVADO School involving various international experts in the field, you will learn how to identify and alleviate bias and discrimination in Artificial Intelligence.
WasedaX: IoT System Architecture: Design and Evaluation
Learn how to design and evaluate architecture through IoT and AI technologies.
LinuxFoundationX: PyTorch and Deep Learning for Decision Makers
Learn how PyTorch, a deep learning framework, can be used to automate and optimize processes through the development and deployment of state-of-the-art AI applications. The course will also help you understand the importance of data quality, how to choose the right model, and the challenges in deploying and maintaining both deep learning and machine learning applications.
UMontrealX: Machine Learning Use Cases in Finance
In the last six years, the financial sector has seen an increase in the use of machine learning models in financial, banking and insurance contexts. Data science and advanced analytics teams in the financial and insurance community are implementing these models regularly and have found a place for them in their toolbox.
GoogleCloud: Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
This final course in the Google Cloud Computing Foundations Professional Certificate reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud.
UMontrealX: Deep Learning Essentials
Do you want to learn how machines can learn tasks we thought only human brains could perform? Then take this Deep Learning course developed by IVADO, Mila and Université de Montréal: an extensive overview of the essentials of deep learning, this ground-breaking technology already prevalent in our lives and spanning all sectors.
Statistics.comX: MLOps1 (AWS): Deploying AI & ML Models in Production using Amazon Web Services
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: MLOps1 (AWS) - Deploying AI & ML Models in Production using Amazon Web Services.
IMTx: Understanding Artificial Intelligence through Algorithmic Information Theory
Can we characterize intelligent behavior? Are there theoretical foundations on which Artificial Intelligence can be grounded?
AI: Large Language Models with Azure
Harness Azure's AI Power: Master Large Language Models, (LLMs) Optimize Deployments, and Build Cutting-Edge Applications.
HP: Generative AI Mastery: Revolutionizing Game Development
Generative AI is transforming game development, enabling more immersive and interactive experiences. This course covers AI’s role in narrative, concept art, texturing, modeling, and animation. Gain hands-on skills to enhance creativity and efficiency, crucial for modern developers. Create stunning visuals, lifelike characters, and captivating stories with AI. Get a free verified certificate using referral code 6FJGJOTX7MFH5M2H.
IBM: Cloud Application Developer Capstone
In this project you will sharpen your new full stack cloud application development skills. You will use modern tools and technologies to create a working cloud ecosystem. You will design and develop a comprehensive solution that reflects your mastery of key cloud native computing concepts and capabilities.
Statistics.comX: Predictive Analytics: Basic Modeling Techniques
What is Predictive Analytics? These methods lie behind the most transformative technologies of the last decade, that go under the more general name Artificial Intelligence or AI. In this course, the focus is on the skills that will allow you to fit a model to data, and measure how well it performs. We will be doing enough data science so that you get hands-on familiarity with understanding a dataset, fitting a model to it, and generating predictions.
Statistics.comX: MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure Machine Learning
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: MLOps1 (Azure) - Deploying AI & ML Models in Production using Microsoft Azure Machine Learning
WageningenX: Big Data for Agri-Food: Principles and Tools
As the big data era unfolds, developments in sensor and information technologies are evolving quickly. As a result, science and businesses are yielding enormous amounts of data. Ideally this data provides valuable insights for decision-making in real time. But processing data the traditional way is no longer possible. Join Wageningen University & Research, #1 university Animal Sciences and Agriculture, and learn how to best handle big data sets. Enrol now.
DelftX: AI Skills for Engineers: Data Engineering and Data Pipelines
Good data is central to effective AI applications. This course teaches the basics of data for AI, covering what data is needed, how to extract data from existing databases and basic data skills including setup of a Python notebook environment, basic data exploration and simple data visualizations.
DavidsonX, GalileoX: AI Technology for Marketing Optimization
Unlock the potential of AI in marketing by mastering advanced techniques such as predictive analytics, real-time optimization, NLP, email personalization, and social media strategy for impactful marketing.
HKUx: FinTech Technologies
Learn the top FinTech technologies that are transforming today’s world of finance and technology.
Key Features of EdX
- Wide Range of Courses: EdX offers a comprehensive catalog of courses across multiple disciplines. You can find courses in business management, healthcare, engineering, computer science, and even niche areas like ethical hacking or environmental sustainability.
- Collaborations with Top Institutions: One of the distinguishing factors of EdX is its partnerships with prestigious universities like Harvard, MIT, UC Berkeley, and many more. These institutions offer courses that are designed by their top faculty members, ensuring high academic standards.
- Flexible Learning Paths: Whether you want to take a short course or complete a full degree program, EdX offers flexible learning paths. Learners can choose between free courses, paid verified certificates, and comprehensive degree programs, allowing them to customize their education according to their needs and budget.
- MicroMasters Programs: EdX introduced the concept of MicroMasters, which are a series of graduate-level courses that can be applied towards an actual master’s degree at select universities. This allows learners to test the waters before committing to a full degree program, all while earning credits that are recognized by participating institutions.
- Professional Certificates and Executive Education: For those looking to advance in their careers, EdX offers Professional Certificates and Executive Education Programs. These programs are specifically designed to meet industry standards and equip learners with skills that are immediately applicable in the workplace.
EdX’s Impact on Global Education
EdX has transformed the educational landscape by making learning more inclusive and accessible. The platform reaches millions of students across the world, including learners in developing nations where access to quality education is limited. By providing affordable or even free courses, EdX empowers individuals to improve their lives, enhance their careers, and contribute to their communities. EdX’s Open edX platform is another way the organization is making a difference. Open edX is an open-source software that other institutions can use to create and distribute their own educational content. This further amplifies EdX’s mission to increase access to education globally.Certifications and Degrees from EdX
One of EdX’s standout features is the opportunity to earn certifications and degrees from top universities and companies. These credentials are recognized worldwide and can give learners a significant advantage in the job market. EdX offers a range of credential programs, including:- Verified Certificates: For learners who want proof of course completion, verified certificates provide credibility to employers and institutions.
- MicroMasters: Graduate-level courses that count towards a full master’s degree at partnered institutions.
- Professional Certificates: Designed by industry experts, these certificates help learners gain skills that are highly sought after in the workforce.
- Online Master’s Degrees: Earn a full degree from institutions like the University of Texas, Boston University, and more, entirely online.
Who Should Use EdX?
EdX is suitable for a wide range of learners, from high school students to working professionals. If you’re looking to:- Advance your career: EdX offers professional certificates and degree programs that can help you gain the skills and credentials needed to move up in your career.
- Enhance your knowledge: Whether you're curious about a particular subject or want to gain in-depth knowledge, EdX offers courses across a wide array of disciplines.
- Switch careers: With programs in high-demand fields like data science, AI, and business management, EdX provides an opportunity to pivot into new career paths.
Why Choose EdX Over Other Platforms?
While there are several online learning platforms available today, EdX stands out for its unique focus on high-quality, academically rigorous courses. Here’s why EdX is a top choice:- Prestige: Courses are taught by professors from the world’s top universities, giving learners access to the same education as on-campus students.
- Affordability: EdX offers free access to course materials, and learners can opt to pay for certificates or degrees at a fraction of traditional costs.
- Flexibility: You can learn at your own pace, making it easier to balance studies with work, family, or other commitments.
- Global Reach: Whether you’re in a big city or a rural village, as long as you have internet access, you can join the EdX community and learn from the best.