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Explore How to Actually Learn LLMs in 2026 | Ex-Google, Microsoft Engineer with 125,987 views, 3,961 likes, and 141 comments. Experience the impact of this video content that has captured audience attention.

If you want to actually understand large language models- not just use ChatGPT, but genuinely understand how these systems work, how to build with them, and how to stay relevant as this field evolves- this video gives you the exact learning path to follow, step by step. There are hundreds of LLM courses out there right now. Everyone's got a tutorial, everyone's got a certification. And if you're trying to figure out where to start, it can feel completely paralyzing. Should you jump straight into prompt engineering? Do you need to understand transformers first? What about fine-tuning? What about agents? In this video, I break down the 4-step path that actually works- the one that gives you lasting understanding rather than just surface-level familiarity. The 4 Steps: - Step 1: Fundamentals of Machine Learning & Deep Learning - Step 2: Understanding Transformers & the Attention Mechanism - Step 3: LLM Pre-training, Fine-tuning & RAG - Step 4: Applications & AI Agents Each step builds on the last. Skip the foundation, and the house falls down. This path isn't the fastest, but it's the one that actually works. Free Resources Mentioned: Step 1: ML & Deep Learning Fundamentals - Machine Learning Specialization (Andrew Ng): https://www.deeplearning.ai/courses/machine-learning-specialization/ - MIT Introduction to Deep Learning: https://introtodeeplearning.com/ Step 2: Transformers & Attention - Jay Alammar's Illustrated Transformer: https://jalammar.github.io/illustrated-transformer/ - Hugging Face NLP/LLM Course: https://huggingface.co/learn Step 3: Pre-training, Fine-tuning & RAG - Cohere's LLM University: https://cohere.com/llmu - DeepLearning.AI – Pretraining LLMs: https://www.deeplearning.ai/short-courses/pretraining-llms/ - DeepLearning.AI – Fine-tuning LLMs: https://www.deeplearning.ai/short-courses/finetuning-large-language-models/ Step 4: Applications & AI Agents - Hugging Face Agents Course: https://huggingface.co/learn/agents-course - Berkeley's LLM Agents Course: https://llmagents-learning.org/f24 - Arize AI – AI Agents Mastery: https://arize.com/llm-course/ - DeepLearning.AI – Multi-AI Agent Systems with CrewAI: https://www.deeplearning.ai/short-courses/multi-ai-agent-systems-with-crewai/ Subscribe for more AI/ML career advice, free learning resources, technical explainers, and my journey as an immigrant in the US building a career as an AI leader.

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