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UCx: Text Analytics 2: Visualizing Natural Language Processing
Extend your knowledge of the core techniques of computational linguistics by working through case-studies and visualizing their results.
IBM: Using GPUs to Scale and Speed-up Deep Learning
Training complex deep learning models with large datasets takes along time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning.
LVx: Fundamentals of Deep Reinforcement Learning
Learn the theoretical foundations of Deep Learning through practical Python code.
IBM: PyTorch Basics for Machine Learning
This course is the first part in a two part course and will teach you the fundamentals of PyTorch. In this course you will implement classic machine learning algorithms, focusing on how PyTorch creates and optimizes models. You will quickly iterate through different aspects of PyTorch giving you strong foundations and all the prerequisites you need before you build deep learning models.
IBM: Deep Learning Fundamentals with Keras
New to deep learning? Start with this course, that will not only introduce you to the field of deep learning but give you the opportunity to build your first deep learning model using thepopular Keras library.
IBM: Deep Learning with Python and PyTorch.
This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch.
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: 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.
IBM: Applied Deep Learning Capstone Project.
In this capstone project, you'll use either Keras or PyTorch to develop, train, and test a Deep Learning model. Load and preprocess data for a real problem, build the model and then validate it.
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.
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.
AWS: Introduction to Machine Learning on AWS
This course is intended for software developers and engineers taking their first steps with the AWS services that do much of heavy lifting of Machine Learning for you.
IBM: Models and Platforms for Generative AI
This course focuses on the core concepts and models of generative AI, including deep learning and large language models. It covers the concept of foundation models and the capabilities of pre-trained models and platforms for AI application development.
DelftX: AI in Practice: Applying AI
Learn about the implementation and practical aspects of Artificial Intelligence and how to write a plan for applying AI in your own organization in a step-by-step manner.
HarvardX: Applications of TinyML
Get the opportunity to see TinyML in practice. You will see examples of TinyML applications, and learn first-hand how to train these models for tiny applications such as keyword spotting, visual wake words, and gesture recognition.
HarvardX: Deploying TinyML
Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. Before you know it, you’ll be implementing an entire TinyML application.
Google: Google AI for JavaScript developers with TensorFlow.js
Get productive with TensorFlow.js - Google's Machine Learning library for JavaScript. From pre-made off the shelf models to writing or training your own, learn how to create next gen web apps.
HarvardX: Fundamentals of TinyML
Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.
IBM: AI for Everyone: Master the Basics
Learn what Artificial Intelligence (AI) is by understanding its applications and key concepts including machine learning, deep learning and neural networks.
IBM: Deep Learning with Tensorflow
Much of theworld's data is unstructured. Think images, sound, and textual data. Learn how to apply Deep Learning with TensorFlow to this type of data to solve real-world problems.
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.