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What are the best Generative AI courses online?
There are several excellent online courses available for learning about generative AI. For instance, the AWS Generative AI Applications Professional Certificate provides practical insights into applying generative AI in real-world scenarios. Another option is the IBM Generative AI Engineering Professional Certificate, which focuses on engineering aspects. These courses can help you build a solid understanding of generative AI principles and applications.
How do I learn Generative AI?
To learn generative AI, start by identifying your learning goals and the specific areas of interest within the field. Enroll in online courses that match your objectives, such as those focusing on programming, machine learning, or specific applications of generative AI. Engage with hands-on projects to apply what you learn, and consider joining online communities or forums to connect with others in the field. Consistent practice and exploration will help you build confidence and expertise.
Can I study Generative AI for free on Coursera?
Yes. You can start learning generative AI on Coursera for free in two ways:
- Preview the first module of many generative AI courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
- Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.
If you want to keep learning, earn a certificate in generative AI, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.
NVIDIA is offering many free courses at its Deep Learning Institute. Some of my favourites
Building RAG Agents with LLMs: This course will guide you through the practical deployment of an RAG agent system (how to connect external files like PDF to LLM).
Generative AI Explained: In this no-code course, explore the concepts and applications of Generative AI and the challenges and opportunities present. Great for GenAI beginners!
An Even Easier Introduction to CUDA: The course focuses on utilizing NVIDIA GPUs to launch massively parallel CUDA kernels, enabling efficient processing of large datasets.
Building A Brain in 10 Minutes: Explains and explores the biological inspiration for early neural networks. Good for Deep Learning beginners.
I tried a couple of them and they are pretty good, especially the coding exercises for the RAG framework (how to connect external files to an LLM). It's worth giving a try !!