In this age, if you are not familiar with artificial intelligence, then you are falling behind. AI has encompassed every aspect of our digital lives. The internet is flooded with AI-generated content (images, videos, music, write-ups, and more), and it has also integrated itself into industries such as healthcare, finance, and transportation.
Learning about this pseudo-intelligence has become more important than ever. Luckily, there are several ways to learn about AI. The best way to stay updated and gain knowledge in AI is by taking courses on AI. Several free AI courses and certifications are available online, offered by top companies and schools. These courses cover a wide range of topics, such as machine learning, neural networks, and natural language processing.
Coursera, one of the leading educational websites in the world, has tons of courses on AI, computer science, and machine learning. Though most courses can be accessed for a small fee, some good free courses are also available.
In this article, we will look at some of the free Coursera courses on AI.
List of FREE AI COURSES AND CERTIFICATIONS ON COURSERA in 2024
| Course Name | Provided by | Duration | Level | Artificial Intelligence, AI and Business, Risks with AI | Course Link |
| AI, Business & the Future of Work | Lund University | 3 weeks | Beginner | Artificial Intelligence, AI and business, Risks with AI | AI, Business & the Future of Work |
| AI For Everyone | Deeplearning.ai | 3 weeks | Beginner | What is AI, Building AI projects, AI and Society | AI For Everyone |
| Neural Networks and Deep Learning | Deeplearning.ai | 4 weeks | Beginner | Artificial Neural Network, Backpropagation, Python Programming, Deep LearningDeep Learning, Neural Network Architecture | Neural Networks and Deep Learning |
| Generative AI for Everyone | Deeplearning.ai | 5 hours | Beginner | Python Programming, Machine Learning, Large Language Models, LLMs, Gen AI | Generative AI for Everyone |
| Generative AI with Large Language Models | AWS | 16 hours | Artificial Intelligence, AI and Business, Risks with AI | Python Programming, Machine Learning, Large Language Models, LLMs, Generative AI, Fine-tuning, Reinforcement Learning | Generative AI with Large Language Models |
| AI and Public Health | Deeplearning.ai | 8 hours | Beginner | Air Quality Monitoring, AI for Good project framework, Supervised Learning, Exploratory Data Analysis, Jupyter notebooks | AI and Public Health |
1. AI, Business & the Future of Work
What We Like:
- The course includes short lectures, interviews, and interactive exercises.
- Includes interviews with 12 industry professionals and AI experts.
- Flexible learning schedule.
- Provided by Lund University.
- Learning materials are free.
What We Don’t Like:
- May not be challenging for those with existing AI knowledge.
- Requires you to pay for a certificate.
About the course: The course from Lund University presents a study in which AI brings change to organizations for increased efficiency and sustainability. It includes discussions on how AI affects different sectors, tools that aid in making improved choices as well as automating processes. With the short lectures and interviews with experts, you can get an overall view of how artificial intelligence is changing businesses. It helps organizations develop strategies to use AI’s power effectively and avoid any problems that might arise.
COURSE DETAILS
| Provider | Lund University |
| Duration | 3 weeks |
| Level | Beginner |
| Description | “This course from Lund University will help you understand and use AI so that you can transform your organization to be more efficient, more sustainable and thus innovative.” |
| Key Topics | AI in work and business, Risks with AI, AI and the future of work |
2. AI For Everyone
What We Like:
- Taught by Andrew Ng, a top instructor and the founder of DeepLearning.AI.
- Covers common AI terminology, machine learning, deep learning, and data science.
- Gives practical insights into applying AI within organizations.
What We Don’t Like:
- Limited to 4 quizzes for assessments.
- Partially Free (you need to pay to receive a course completion certificate).
About the Course: This course by DeepLearning.AI and Andrew Ng aims to make AI understandable for people who are not technically skilled. It aims to empower you to identify AI opportunities and develop strategies. The course is focused on usage in real life and provides an understanding of moral contemplations. Engineers can also benefit by understanding AI’s business implications with this course.
COURSE DETAILS
| Provider | DeepLearning.AI |
| Duration | 3 months |
| Level | Advanced |
| Description | “AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone–especially your non-technical colleagues–to take.” |
| Key Topics | What is AI, Building AI projects, AI and Society |
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3. Neural Networks and Deep Learning
What We Like:
- Structured content with clear video lectures and readings.
- Includes an intake survey to tailor the learning experience.
- Offers a quiz for assessment with immediate feedback.
- Forum for questions and discussions.
What We Don’t Like
- Some resources may require a subscription to access.
- Limited interaction outside of the forum.
- No graded assignments apart from quizzes.
About the Course: This course by DeepLearning.AI provides an in-depth introduction to the basics of neural networks and their applications in supervised learning. It explores why deep learning is useful in various industries and also includes practical insights into its current uses. You can engage with video lectures, readings, and quizzes, with an opportunity to participate in discussions via the forum.
COURSE DETAILS
| Provider | DeepLearning.AI |
| Duration | 4 weeks |
| Level | Beginner |
| Description | “You will study the foundational concept of neural networks and deep learning. By the end, you will be familiar with the significant technological trends driving the rise of deep learning.” |
| Key Topics | Artificial Neural Network, Backpropagation, Python Programming, and Deep LearningDeep Learning, Neural Network Architecture |
4. Generative AI for Everyone
What We Like
- Taught by Andrew Ng, a renowned AI pioneer.
- Covers generative AI fundamentals, use cases, and advanced techniques.
- Includes hands-on exercises for real-world application.
What We Don’t Like
- The course is only taught in English.
- Beginners might find the advanced techniques challenging without prior knowledge.
- Requires a payment to receive a completion certificate.
About the Course: The course taught by the expert Andrew Ng, gives students the ability to comprehend and apply generative AI in their profession. It clarifies how generative AI works, underlines its possibilities and boundaries, and investigates its uses in real-life scenarios. You can actively participate in projects that enable you to learn about prompt engineering effectively as well as advanced applications of AI. The course is for everyone, intending you to become an engaged part of an AI-driven future. It offers practical skills and insights into the impact of generative AI on businesses and society.
COURSE DETAILS
| Provider | DeepLearning.AI |
| Duration | 5 hours |
| Level | Beginner |
| Description | “Gain foundational knowledge, practical skills, and a functional understanding of how generative AI works.” |
| Key Topics | Python Programming, Machine Learning, Large Language Models, LLMs, and generative AI |
| Correct URL Link to Course | https://www.coursera.org/learn/generative-ai-for-everyone |
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5. Generative AI with Large Language Models
What We Like
- Taught by AWS AI practitioners actively working in the field.
- Covers foundational knowledge, practical skills, and the latest research.
- A flexible schedule allows you to learn at your own pace.
What We Don’t Like
- Requires prior experience in Python programming and basic machine learning concepts.
- Beginners might find the content challenging without sufficient background knowledge.
- Requires you to pay to receive a completion certificate.
About the Course: “Generative AI with Large Language Models” is taught by Chris Fregly, Antje Barth, and Shelbee Eigenbrode. This course provides a great overview of generative AI and how it is used in the real world. The life cycle of LLM-based generative AI is discussed here, which starts from gathering data to its deployment. You will study about the transformer architecture, techniques for fine-tuning, and empirical scaling laws. Through practical projects and real-world advice from professionals in the field, you will also acquire effective abilities for applying generative AI.
COURSE DETAILS
| Provider | Amazon Web Services |
| Duration | 16 hours |
| Level | Intermediate |
| Description | “In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.” |
| Key Topics | Python Programming, Machine Learning, Large Language Models, LLMs, Generative AI, Fine-tuning, Reinforcement Learning |
6. AI and Public Health
What We Like
- Includes hands-on projects, such as creating an air quality monitoring application.
- Taught by Robert Monarch, an expert in AI for Good Initiatives.
- Offers a self-paced schedule with approximately 8 hours to complete.
What We Don’t Like
- Focuses on basics, potentially lacking depth for more advanced learners.
- Centers on AI for Good, which may not appeal to those interested in other AI applications.
- Requires payment for completion certificate
About the Course: This course is part of the AI for Good Specialization and teaches basics about artificial intelligence and machine learning. Robert Monarch acts as the instructor to guide students on various real-life uses and solution methods using AI. A study case is given featuring Jupyter notebook labs where learners create an air quality monitoring application for Bogotá, Colombia (Coursera). With 10 videos, readings, and quizzes offered multiple times, this course at the beginner level is designed to provide a strong base in AI for public health.
COURSE DETAILS
| Provider | DeepLearning.AI |
| Duration | 8 hours |
| Level | Beginner |
| Description | “In this course, you will be introduced to the basics of artificial intelligence and machine learning and how they are applied in real-world scenarios in the AI for Good space.” |
| Key Topics | Air Quality Monitoring, AI for Good project framework, Supervised Learning, Exploratory Data Analysis, and Jupyter notebooks |
Conclusion
Whether you want to simply learn about Artificial Intelligence or begin a career in the field, the courses listed above are some of the best to get started in the field and expand your knowledge base. These courses available on Coursera are free to audit, however, many of them require a small payment to receive a completion certificate.
Recommended reading:
List of Stanford University AI Courses for FREE
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