In today’s world, artificial intelligence (AI) is not just technological advancement—it is becoming an integral part of our daily lives. According to research, the global AI industry was valued at $207 billion in 2023, which could reach $1.8 trillion by 2030. According to McKinsey & Company, companies using AI are seeing an average productivity increase of up to 40%.
The world’s top tech companies are increasing their demand for skilled professionals in AI and machine learning every day. So if you want to learn AI and machine learning, these 8 courses could be an excellent opportunity for you. The best part is, they’re completely free!
1. Google AI Courses
Covers learning generative AI from the very basics to advanced levels. Google offers 5 different courses that will give you a comprehensive understanding—from the foundations of generative AI to a complete overview.
🔗 Course Link: Google AI Courses
2. Microsoft AI Course
Ideal for learning AI, neural networks, and deep learning. This Microsoft course takes you from the key concepts of AI to neural networks and deep learning.
🔗 Course Link: Microsoft AI Course
3. Introduction to AI with Python
Harvard University offers a 7-week course discussing the core concepts and algorithms of AI. You’ll learn not just the techniques behind AI technology but also how to use machine learning libraries.
🔗 Course Link: Introduction to AI with Python
4. Prompt Engineering for ChatGPT
This excellent course is for those who want to use ChatGPT more effectively. This 6-module course from Vanderbilt University is perfect for beginners and will teach you techniques for writing effective prompts for ChatGPT.
🔗 Course Link: Prompt Engineering for ChatGPT
5. ChatGPT Prompt Engineering for Developers
This course, created in a joint initiative between DeepLearning and OpenAI, is supervised by Andrew Ng and Isa Fulford. Here you’ll get hands-on practice in prompt engineering.
🔗 Course Link: ChatGPT Prompt Engineering for Devs
6. LLMOps
This new course from Google Cloud and DeepLearning is taught by Erwin Huizenga. You’ll learn about training and deploying LLMs (Large Language Models) in detail.
🔗 Course Link: LLMOps
7. Big Data, Artificial Intelligence, and Ethics
This 4-module course from the University of California, Davis discusses the limitations of big data and AI. You’ll also get an introduction to IBM Watson.
🔗 Course Link: Big Data, AI, and Ethics
8. AI Applications and Prompt Engineering
This edX course will teach you not only about prompt engineering, but also strategies for building your own AI apps.
🔗 Course Link: AI Applications and Prompt Engineering
How to Take Coursera Courses for Free?
If you want to take free courses on Coursera, follow these steps:
✅ Go to the course link and click the ‘Enroll for free’ button.
✅ Then select the ‘Audit the course’ option.
✅ You’ll be able to view the course content for free, but you’ll need to choose a paid option if you want the certificate.
If you want to learn generative AI and machine learning, these courses are a great opportunity for you. Learn, practice, and acquire new skills! 🚀
Which course will you start first? Let us know in the comments!
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