The Generative AI Learning Roadmap

 The Generative AI Learning Roadmap

Generative AI is a type of AI that can create new content based on what it has learned from existing knowledge. It has the potential to revolutionize human learning.

Here’s a GenAI roadmap with learning resources:

1 - Learn about important concepts like Probability, Statistics, Calculus, and Linear Algebra.

2 - Understand the working of foundational models like GPT, MetaAI’s Llama, Gemini, DeepSeek, and Claude.

3 - Learn the GenAI development stack that includes Python, Language, ChatGPT APIs, Prompt Engineering, VectorDB, DeepSeek, Llama, and Huggingface.

4 - Learn how to train and fine-tune a foundation model.

5 - Understand the role of AI Agents and how to build one using GenAI tools.

6 - Learn about GenAI models for computer vision such as GAN (Generative Adversarial Networks), MidJourney, DALL E, Flux, and so on.

7 - Make use of GenAI Learning Resources such as DeepLearning AI platform, Kaggle, Generative AI Insider’s Guide by ByteByteGo, Google Labs, and Nvidia Learning platforms.