Start your journey into large language models with foundational concepts and hands-on exercises designed for newcomers.
Basic algebra and statistics helpful but not required
Any programming experience; Python preferred
Google’s AI Course for Beginners (in 10 minutes)!
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IntermediateStanford CS224N - Natural Language Processing with Deep Learning
AdvancedGoogle’s AI Course for Beginners (in 10 minutes)!
Beginner99% of Beginners Don't Know the Basics of AI
BeginnerGenerative AI Roadmap For Absolute Beginners 🔥
BeginnerHow I'd learn ML in 2025 (if I could start over)
Beginner99% Of People STILL Don't Know The Basics Of Prompting (ChatGPT, Gemini, Claude)
BeginnerGenerative AI: Prompt Engineering Basics
BeginnerTransformers for beginners | What are they and how do they work
Beginner10 FREE AI Courses for Absolute Beginners in 2025
BeginnerGetting Started with Stable Diffusion in 2024 for Absolute Beginners
BeginnerGenerative ai vs AI agents vs Agentic AI
BeginnerAI Art For Beginners - Stable Diffusion Crash Course Syllabus Overview
BeginnerIntroduction to Large Language Models
BeginnerGenerative AI with Large Language Models
IntermediateStanford CS224N - Natural Language Processing with Deep Learning
AdvancedFollow these courses in order to complete the learning path. Click on any course to enroll.
Google’s AI Course for Beginners (in 10 minutes)!
Learn 99% of Beginners Don't Know the Basics of AI
Generative AI Roadmap For Absolute Beginners 🔥
Learn How I'd learn ML in 2025 (if I could start over)
Learn 99% Of People STILL Don't Know The Basics Of Prompting (ChatGPT, Gemini, Claude)
Generative AI: Prompt Engineering Basics
Transformers for beginners | What are they and how do they work
Learn 10 FREE AI Courses for Absolute Beginners in 2025
Getting Started with Stable Diffusion in 2024 for Absolute Beginners
Generative ai vs AI agents vs Agentic AI
AI Art For Beginners - Stable Diffusion Crash Course Syllabus Overview
A beginner-level micro-learning course that provides an overview of Large Language Models, including their architecture, frameworks, and applications. It also introduces fundamental NLP concepts.
Generative AI with Large Language Models
Stanford course on NLP with deep learning. Covers word embeddings, RNNs, attention, transformers, and BERT.
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