Embarking on the journey into Generative AI can be both exciting and daunting. Whether you’re a novice eager
to explore the basics or a seasoned enthusiast ready for a deep dive, we’ve curated a two-level guide to
help you navigate the diverse landscape of Generative AI courses. From beginner-friendly introductions
requiring no coding experience to advanced courses delving into Large Language Models (LLMs) and cutting-edge
applications, this guide ensures there’s something for every learner.
Level 1 – Kickstarting with Generative AI:
- DeepLearning.AI – Generative AI for Everyone
- Description: Dive into generative AI concepts, tools, and applications in this
user-friendly course. - Prerequisites: No coding experience required.
- Description: Dive into generative AI concepts, tools, and applications in this
- Google Cloud – Introduction to Generative AI
- Description: Gain a broad overview, covering GANs, VAEs, and LLMs, with practical
examples on Vertex AI. - Prerequisites: None mentioned, suitable for beginners.
- Description: Gain a broad overview, covering GANs, VAEs, and LLMs, with practical
- IBM – Generative AI Fundamentals
- Description: Explore the foundations of generative models, including GANs, VAEs, and
autoencoders, with basic Python coding examples. - Prerequisites: Basic Python knowledge.
- Description: Explore the foundations of generative models, including GANs, VAEs, and
- Fractal Analytics – GenAI for Everyone
- Description: A beginner-friendly introduction to Gen AI concepts and
applications, complete with hands-on projects on Kaggle. - Prerequisites: Not specified.
- Description: A beginner-friendly introduction to Gen AI concepts and
Level 2 – Deep Dive into Generative AI:
- DeepLearning.AI – Generative AI with Large Language Models
- Description: Delve deeper into Large Language Models, exploring architecture,
training, and applications like text generation and translation. - Prerequisites: Requires Python Programming and ML knowledge.
- Description: Delve deeper into Large Language Models, exploring architecture,
- Coursera – Generative AI with Large Language Models
- Description: Immerse yourself in LLMs, transformers, and prompt engineering through
lectures and hands-on AWS labs. - Prerequisites: Requires Python Programming and ML knowledge.
- Description: Immerse yourself in LLMs, transformers, and prompt engineering through
- Google Cloud – Introduction to Generative AI Studio
- Description: Explore Google’s Vertex AI tools for building and deploying generative
models, encompassing pre-trained models and custom workflows. - Prerequisites: Not specified.
- Description: Explore Google’s Vertex AI tools for building and deploying generative
Heard about Artistic potential of AI?
Whether you’re stepping into the world of Gen AI or seeking advanced insights, this guide provides a
thoughtfully curated list of courses to cater to your learning needs. Start your journey and explore the
fascinating realm of Gen AI today!