Generative AI: Top 11 Courses to Learn in 2023

September 18, 2023: If you are interested in learning more about generative AI, there are a number of online courses available that can teach you the fundamentals of this technology. Here is a list of the top 10 generative AI courses to learn in 2023:

An Overview of the 11 Courses

Deep Learning Specialization (Coursera – Andrew Ng)

This specialization provides a comprehensive introduction to deep learning, including generative AI. It is a good choice for beginners who want to learn the fundamentals of deep learning.

Generative Adversarial Networks (GANs) Specialization (Coursera – deeplearning.ai)

This specialization focuses on GANs, which are a type of generative AI model that can be used to create realistic images, text, and music. It is a good choice for intermediate learners who want to learn more about GANs and how to use them.

Natural Language Processing (NLP) Specialization (Coursera – deeplearning.ai)

This specialization focuses on NLP, which is a field of AI that deals with the interaction between computers and human language. It includes modules on generative AI models for NLP tasks such as text generation and translation. It is a good choice for intermediate learners who want to learn more about NLP and how to use generative AI models for NLP tasks.

Deep Learning for Self-Driving Cars (Coursera – Stanford University)

This course covers the fundamentals of deep learning, with a focus on applications in self-driving cars. It includes a module on generative AI models for self-driving cars, such as models for generating synthetic data and models for predicting the behavior of other drivers. It is a good choice for intermediate learners who are interested in self-driving cars and want to learn how to use deep learning and generative AI for self-driving car applications.

Advanced Machine Learning Specialization (Coursera – National Research University Higher School of Economics)

This specialization covers advanced machine learning topics, including generative AI. It is a good choice for advanced learners who want to learn more about generative AI and how to use it for complex tasks.

Creative Applications of Deep Learning with TensorFlow (Coursera – Kadenze)

This course covers the fundamentals of deep learning with TensorFlow, with a focus on creative applications such as image generation and text generation. It is a good choice for beginners and intermediate learners who are interested in using deep learning for creative projects.

Machine Learning and Artificial Intelligence for Robotics (Udacity)

This course covers the fundamentals of machine learning and AI for robotics, including generative AI models for robotics tasks such as object detection and navigation. It is a good choice for beginners and intermediate learners who are interested in using deep learning for robotics applications.

AI for Everyone (Coursera – Andrew Ng)

This course provides a high-level overview of AI, including generative AI. It is a good choice for beginners who want to learn more about AI and its potential applications.

Machine Learning (Stanford University – Online)

This course covers the fundamentals of machine learning, including generative AI. It is a good choice for beginners and intermediate learners who want to learn more about machine learning and its potential applications.

OpenAI, GPT, ChatGPT and DALL-E Masterclass (Coursera – Raymond Davey)

This course provides a deep dive into OpenAI’s generative AI models, such as GPT, ChatGPT, and DALL-E. It is a good choice for intermediate and advanced learners who want to learn more about how to use these models for creative and practical applications.

Master of Science in Artificial Intelligence (Various Universities)

For those seeking an in-depth education, many universities offer online Master’s programs in AI. These programs typically cover generative AI topics and provide the opportunity for hands-on research and projects.

These are just a few of the many generative AI courses available online. When choosing a course, be sure to consider your experience level and your interests. If you are a beginner, I recommend starting with a general introduction to deep learning or AI. Once you have a foundation in the fundamentals, you can then choose a course that focuses on generative AI specifically.

Generative AI is a powerful technology with a wide range of potential applications. By learning about generative AI, you can open up new opportunities in your career and help shape the future of this technology.