Important points
Artificial intelligence (AI) is rapidly changing the way we work today. If you want to build your skills with AI, you might be interested in enrolling in the Google AI Essentials specialization, the IBM AI Foundations forEveryone specialization, or the DeepLearning.AI course AI forEveryone on Coursera. Which one is best depends on your goals.
Below, we’ll take a closer look at the differences between these artificial intelligence-focused programs. Then, if you want access to all three, consider subscribing to Coursera Plus.
AI introductory program About Coursera: Key Differences
Specializations from Google and IBM, as well as courses from DeepLearning.AI, all provide beginner-friendly introductions to artificial intelligence. While specializations are a series of courses that teach practical skills and award certifications from industry partners upon completion, courses are an intensive way to understand the fundamentals of complex topics.
Here’s what you can expect from each.
| Google AI basics | IBM AI Foundation for Everyone | DeepLearning.AI AI that anyone can use | |
|---|---|---|---|
| type | Specialty field | Specialty field | course |
| level | beginner | beginner | beginner |
| module | 5 courses | 4 courses | 1 course (4 modules) |
| Estimated time to complete | 4 hours | 1 month (10 hours a week) | 6 hours |
| Highlighting special topics | Workplace applications, daily task optimization, rapid engineering, increased productivity, responsible AI | No-code development, chatbot creation/introduction, business application of AI | Strategic understanding of AI technology, AI business strategy development, AI ethics, AI implementation |
| key skills | Generative AI, prompt engineering, content creation, process optimization | Generative AI, prompt engineering, no-code development, chatbot creation | AI project management, AI ethics, AI business strategy |
| emerging technology | Generative AI, Google Gemini | Generation AI, ChatGPT | Generative AI, deep learning technology |
| Other important differences | Emphasis on immediate application of GenAI to the workplace | Focus on building and deploying the IBM Watson ecosystem, business applications, and practical chatbots | An overview of strategic and organizational implementation of AI systems designed for both technical and non-technical learners. |
| Ideal for these people | Working adults looking for immediate and practical GenAI applications, individuals looking to improve their daily productivity, and those looking for hands-on experience with the tools. | Business professionals looking to implement AI systems, employees, website administrators and business owners who want to build working AI applications without coding. | Professionals who require a strategic and conceptual understanding of AI, rather than the development of technical skills, and individuals responsible for implementing AI in their organizations. |
price: You can preview the first module of many courses for free. Visit the Learner Help Center for more information about your account, payments, subscriptions, and Coursera policies.
Google is one of the world’s most famous technology companies and is responsible for popular platforms such as Google Search, Google Workspace, and Google Gemini.
The Google AI Essentials specialization brings the company’s expertise to learners by introducing them to key concepts, techniques, and use cases in generative AI. If you’re interested in a hands-on, hands-on program focused on responsibly implementing generative AI to improve productivity, the Google AI Essentials specialization may be right for you.
Topics
The Google AI Essentials specialization introduces learners to the fundamental concepts and techniques of generative AI. Topics covered include:
| Topics | ||
|---|---|---|
| Overview of AI basics | AI productivity tools and applications | rapid engineering techniques |
| Responsible use of AI | Stay up to date with AI developments | Deploying AI in the workplace |
tool
In this specialization, you will learn about various tools, especially those developed by Google.
| tool | ||
|---|---|---|
| Generation AI | Google Gemini | AI in Google Workspace (Docs, Slides, Sheets, Meet, Gmail) |
skill
The program prioritizes the practical application of generative AI to improve everyday productivity and task optimization. The main skills you can expect to build are:
| skill | ||
|---|---|---|
| Using generative AI | rapid engineering | Content creation |
| Process optimization | Responsible AI | Business workflow analysis |
Perfect for:
IBM is one of the world’s oldest and largest technology companies, known for its wide range of computer hardware, software, and cloud services.
The IBM AI Foundations forEveryone specialization provides deep understanding of the conceptual foundations of AI and hands-on training in key techniques such as prompt engineering and no-code chatbot development. This program is designed for beginners and provides technical insight and real-world applications of AI for business purposes.
Topics
The IBM AI Foundations forEveryone specialization focuses on no-code solutions using IBM Watson, covering both fundamental AI concepts and practical implementation.
| Topics | ||
|---|---|---|
| Fundamentals and applications of AI | Generative AI features | Fundamentals of Prompt Engineering |
| chatbot development | Industry-specific AI applications | No-code AI implementation |
tool
The specialization provides hands-on experience with a variety of AI tools, including ChatGPT and IBM’s own platforms. The tools used include:
| tool | ||
|---|---|---|
| Generation AI | Chat GPT | IBM Watson AI services |
| chatbot | No-code AI development platform | IBM cloud platform |
skill
IBM’s programs build a variety of practical AI skills that enhance your ability to implement technology in the workplace. These include:
| skill | ||
|---|---|---|
| Uses for generative AI | rapid engineering | no-code development |
| chatbot construction | Responsible AI | IBM cloud usage status |
Perfect for:
Created by noted AI researcher and Coursera co-founder Andrew Ng, DeepLearning.AI offers an online series of AI courses created and presented by experts in the field.
DeepLearning.AI courses AI forEveryone provides an overview of artificial intelligence, including common terminology, what it can (and cannot) do, and how to identify it. Potential use cases in workflows. If you want to learn the non-technical details of AI and how to build an AI strategy for your company, this beginner’s course is for you.
Topics
In the AI forEveryone course, you will learn the basics of AI and how to implement it in your organization. The main topics are:
| Topics | ||
|---|---|---|
| AI terms and concepts | Basics of machine learning | AI project development |
| AI strategy development | AI ethics | Organizational AI implementation |
tool
DeepLearning.AI’s AI forEveryone course focuses on understanding the key concepts you need to know to effectively understand and strategically implement AI in your workplace. So, although you will learn about tools such as generative AI, natural language processing (NLP), machine learning, deep learning, and computer vision, you will not use them throughout the course.
skill
This entry-level course will develop a variety of skills in artificial intelligence. These include:
| skill | ||
|---|---|---|
| AI project management | Fundamentals of data science | strategic thinking |
| Deploying ethical AI | Understanding neural networks | Formulation of business strategy |
Perfect for:
Learn more about AI on Coursera
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