Artificial Intelligence

Top Free Training Courses on AI for Everyone

Top AI courses to jumpstart your career in artificial intelligence

Shiva Ganesh

Free Training courses on Artificial intelligence (AI) is revolutionizing industries and reshaping the job market at an unprecedented pace. Understanding AI has become essential for anyone looking to stay relevant in today's dynamic world. Thankfully, a wealth of free online courses is available to help learners at all levels acquire AI skills across diverse fields of interest. This article explores some of the best free AI training courses, offering insights into AI concepts, tools, and real-world applications to empower your learning journey.

1. Elements of AI

Provider: University of Helsinki

Duration: Self-paced

The "Elements of AI" course is designed to demystify artificial intelligence for a wide audience. Divided into two parts, it covers an introduction to AI concepts and includes practical exercises in building AI systems. The course is accessible to non-experts and requires no prior programming knowledge, making it open to everyone. With over one million enrollments from learners in more than 170 countries, the course has achieved global recognition.

2. Google AI for Everyone

Provider: Google via edX

Duration: 4 weeks, 2-3 hours/week

From machine learning to deploying AI models in real-world applications, this course explores the basic concepts of AI. It equips learners with an understanding of how to develop programming for AI. Laurence Moroney-the individual in charge of Google's AI advocacy-teaches this course and is the perfect foundation for those just starting out.

3. IBM AI Foundations for Everyone

Provider: IBM via Coursera

Duration: Approximately 3 months (2 hours per week)

IBM offers a specialization that consists of three courses: Introduction to AI, Getting Started with AI using IBM Watson, and Building AI-Powered Chatbots Without Programming. This program includes the principles of AI, its applications, and ethical considerations that provide a fundamental overview, making it perfect for beginners.

4. Harvard University: Introduction to Artificial Intelligence with Python

Provider: Harvard University via edX

Duration: 7 weeks (10-30 hours per week)

This rigorous course is ideal for those with some programming experience in Python. It covers essential AI algorithms, game-playing engines, and machine translation techniques. Students engage in hands-on projects that reinforce learning through practical application.

5. AWS Skill Builder

Provider: Amazon Web Services

Duration: Varies

AWS provides free or low-cost access to more than 100 courses on machine learning and generative AI. The material encompasses the foundational skills of machine learning including terminology, as well as decision-making processes, and indeed some practical hands-on training with AWS tools, such as Amazon SageMaker.

6. Deep Learning Fundamentals

Provider: Simplilearn

Duration: Self-paced

This course will teach learners concepts of deep learning and neural networks, backpropagation, and others. It would be the best course for a beginner who wants to learn the basics of applications based on deep learning.

7. Machine Learning Basics

Provider: Simplilearn

Duration: Self-paced

This course is focused on supervised and unsupervised learning methods and deals with essential algorithms and model evaluation methods for understanding simple concepts of machine learning.

8. TensorFlow Basics

Provider: Simplilearn

Duration: Self-paced

This course gives participants a foundation and introduction to the key framework of deep learning- TensorFlow. They learn about its architecture and how best to apply it while building neural networks.

9. Keras for Beginners

Provider: Simplilearn

Duration: Self-paced

Keras is a user-friendly API that's used for building neural networks. In this beginner course, participants will learn how to use Keras for doing various machine learning tasks, making it a great beginner's introduction to data science.

10. ChatGPT Prompt Engineering for Developers

Provider: DeepLearning.AI

Duration: 1 hour

This short course focuses on prompt engineering techniques that are specialized for the developer who works with large language models like ChatGPT. It provides practical insights into optimizing interactions with these models.

Conclusion

The field of artificial intelligence is evolving at an unprecedented pace, making continuous learning and adaptation essential. The free courses mentioned above serve as excellent starting points for anyone eager to understand or expand their knowledge of AI. Designed to cater to diverse backgrounds, these resources are ideal for both beginners and those with technical expertise seeking deeper insights.

By leveraging these courses, learners can grasp fundamental concepts and apply them practically, enhancing their career prospects in a competitive job market. As the demand for AI skills continues to rise across industries, dedicating time to these free learning opportunities is a significant step toward building a successful career in artificial intelligence.

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