Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
Our Courses
Meta Back-End Developer
Ready to gain new skills and the tools developers use to create websites and web applications? This certificate, designed by the software engineering experts at Meta—the creators of Facebook and Instagram, will prepare you for an entry-level career as a back-end developer. In this program, you’ll learn: Python Syntax—the most popular choice for machine learning, data science and artificial intelligence. In-demand programming skills and how to confidently use code to solve problems. Linux commands and Git repositories to implement version control.
-
Course by
-
Self Paced
-
English
Natural Language Processing in Microsoft Azure
Natural language processing supports applications that can see, hear, speak with, and understand users. Using text analytics, translation, and language understanding services, Microsoft Azure makes it easy to build applications that support natural language. In this course, you will learn how to use the Text Analytics service for advanced natural language processing of raw text for sentiment analysis, key phrase extraction, named entity recognition, and language detection. You will learn how to recognize and synthesize speech by using Azure Cognitive Services.
-
Course by
-
8 hours
-
English
Teaching Impacts of Technology: Workplace of the Future
In this course you’ll focus on how the Internet has enabled new careers and changed expectations in traditional work settings, creating a new vision for the workplace of the future. This will be done through a series of paired teaching sections, exploring a specific “Impact of Computing” in your typical day and the “Technologies and Computing Concepts” that enable that impact, all at a K12-appropriate level.
-
Course by
-
Self Paced
-
13 hours
-
English
IBM Introduction to Machine Learning
Machine learning skills are becoming more and more essential in the modern job market. In 2019, Machine Learning Engineer was ranked as the #1 job in the United States, based on the incredible 344% growth of job openings in the field between 2015 to 2018, and the role’s average base salary of $146,085 (Indeed). This four-course Specialization will help you gain the introductory skills to succeed in an in-demand career in machine learning and data science.
-
Course by
-
Self Paced
-
English
IBM & Darden Digital Strategy
This Specialization was designed to combine the most current business research in digital transformation and strategy with the most up-to-date technical knowledge of the technologies that are changing how we work and do business to enable you to advance your career. By the end of this Specialization, you will have an understanding of the three technologies impacting all businesses: artificial intelligence, cloud computing, and data science. You will also be able to develop or advance a digital transformation strategy for your own business using these technologies.
-
Course by
-
Self Paced
-
English
TensorFlow: Data and Deployment
Continue developing your skills in TensorFlow as you learn to navigate through a wide range of deployment scenarios and discover new ways to use data more effectively when training your machine learning models. In this four-course Specialization, you’ll learn how to get your machine learning models into the hands of real people on all kinds of devices. Start by understanding how to train and run machine learning models in browsers and in mobile applications.
-
Course by
-
Self Paced
-
English
Introduction to Digital Transformation
This course is primarily for professionals, college students, and advanced high school students who are interested in driving the digital transformation by integrating automation, software, and cutting-edge technologies. This course represents a foundational introduction to Digital Transformation, appropriate for learners with a basic familiarity with common business terms and concepts and an interest in digital technology. To succeed in this course, learners should bring their curiosity about how new developments in technology are shaping the way businesses and entire industries operate.
-
Course by
-
Self Paced
-
18 hours
-
English
AI Foundations for Everyone
Artificial Intelligence (AI) is no longer science fiction. It is rapidly permeating all industries and having a profound impact on virtually every aspect of our existence. Whether you are an executive, a leader, an industry professional, a researcher, or a student - understanding AI, its impact and transformative potential for your organization and our society is of paramount importance. This specialization is designed for those with little or no background in AI, whether you have technology background or not, and does not require any programming skills.
-
Course by
-
Self Paced
-
English
Business Application of Machine Learning and Artificial Intelligence in Healthcare
The future of healthcare is becoming dependent on our ability to integrate Machine Learning and Artificial Intelligence into our organizations. But it is not enough to recognize the opportunities of AI; we as leaders in the healthcare industry have to first determine the best use for these applications ensuring that we focus our investment on solving problems that impact the bottom line. Throughout these four modules we will examine the use of decision support, journey mapping, predictive analytics, and embedding Machine Learning and Artificial Intelligence into the healthcare industry.
-
Course by
-
Self Paced
-
13 hours
-
English
Intel® AI Fundamentals
Artificial Intelligence (AI) is becoming an everyday part of almost every business. If you aren't selling AI today, then you might be missing a huge opportunity. Learn the basics of AI to be able to recommend and sell AI solutions, including what AI is, why it is relevant now, what a typical AI journey looks like, and how to start the AI conversation with the different AI personas you’ll likely interact with.
-
Course by
-
Self Paced
-
English
Digital Health
This specialisation introduces students to the emerging and multidisciplinary field of digital health and the role and application of digital health technologies including mobile applications, wearable technologies, health information systems, telehealth, telemedicine, machine learning, artificial intelligence and big data. These digital health technologies are assessed in terms of their opportunities and challenges to address real-world public health and health care system challenges in order to improve the quality, safety and efficiency of these services.
-
Course by
-
Self Paced
-
English
Informed Clinical Decision Making using Deep Learning
This specialisation is for learners with experience in programming that are interested in expanding their skills in applying deep learning in Electronic Health Records and with a focus on how to translate their models into Clinical Decision Support Systems. The main areas that would explore are: Data mining of Clinical Databases: Ethics, MIMIC III database, International Classification of Disease System and definition of common clinical outcomes.
-
Course by
-
Self Paced
-
English
IBM Machine Learning
Prepare for a career in the field of machine learning. In this program, you’ll learn in-demand skills like AI and Machine Learning to get job-ready in less than 3 months. Machine Learning is the use and development of computer systems that are able to learn and adapt by using algorithms and statistical models to analyze and draw inferences from patterns in data. Machine Learning is a branch of Artificial Intelligence (AI) where computers are taught to imitate human intelligence in that they solve complex tasks.
-
Course by
-
English
Machine Learning for Semiconductor Quantum Devices
Learn how to deploy artificial intelligence to control and calibrate semiconductor quantum computing chips
-
Course by
-
27
-
English
Customer Experiences with Contact Center AI - Dialogflow ES
In this series, learn how to design customer conversations using Contact Center Artificial Intelligence (CCAI). You’ll use Dialogflow ES to create virtual agents and test them using the simulator. Learn to add functional…
-
Course by
-
Self Paced
-
English
Reinforcement Learning
The Reinforcement Learning Specialization consists of 4 courses exploring the power of adaptive learning systems and artificial intelligence (AI). Harnessing the full potential of artificial intelligence requires adaptive learning systems.
-
Course by
-
Self Paced
-
English
CertNexus Certified Artificial Intelligence Practitioner
The Certified Artificial Intelligence Practitioner™ (CAIP) specialization prepares learners to earn an industry validated certification which will differentiate themselves from other job candidates and demonstrate proficiency in the concepts of Artificial intelligence (AI) and machine learning (ML) found in CAIP. AI and ML have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services.
-
Course by
-
Self Paced
-
English
Computer Vision and Image Processing Fundamentals
Learn about computer vision, one of the most exciting fields in machine learning. artificial intelligence and computer science.
-
Course by
-
Self Paced
-
10
-
English
Prompt Engineering and Advanced ChatGPT
Welcome to Advanced ChatGPT! This course is designed to teach advanced techniques in ChatGPT, an artificial intelligence chatbot developed by OpenAI and launched in November 2022. We’ll cover advanced techniques for prompting ChatGPT, applications for multiple use cases, integrating it with other tools, and developing applications on top while considering its limitations. We hope you have a great time learning about ChatGPT.
-
Course by
-
Self Paced
-
1
-
English
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.
-
Course by
-
Self Paced
-
24
-
English
AI in Practice: Preparing for AI
Learn to recognize and understand the implications of Artificial Intelligence for organizations, and the importance of compliance and ethics when AI is applied in practice.
-
Course by
-
Self Paced
-
46
-
English
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.
-
Course by
-
26
-
English
Data and AI Fundamentals
Learn the fundamentals of Artificial Intelligence with a combination of AI fundamentals and an overview of the rich Linux Foundation AI & Data projects ecosystem. It is well-suited for any kind of AI adopter, regardless of the professional background and level of technical knowledge.
-
Course by
-
11
-
English
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.
-
Course by
-
33
-
English
Generative AI for Business Leaders
This course is designed to introduce you to the fast-changing world of generative artificial intelligence. It illuminates the impacts of this technology across various industries and offers guidance for incorporating AI strategies within your organization.
-
Course by
-
Self Paced
-
24
-
English