AI Agents for Beginners – Part 1 (Free Labs)

🧪Hands-On Labs for Free: https://kode.wiki/4sp4FMT 🤖 AI Agents for Beginners - Part 1 (First Half Free on YouTube!) | KodeKloud Want to build AI agents but don't know where to start? This is the first half of KodeKloud's complete AI Agents for Beginners course available FREE right here on YouTube. The full course (Part 2) is coming soon exclusively on KodeKloud.com! No fluff. No jargon walls. Just clear, hands-on learning from scratch starting with how ChatGPT actually works, all the way to building tool-calling agents in Python. ───────────────────────────────────────── 📌 WHAT YOU'LL LEARN IN THIS VIDEO ───────────────────────────────────────── ✅ What ChatGPT is and how GPT (Generative Pre-Trained Transformer) works ✅ How Large Language Models (LLMs) learn from billions of text examples ✅ Tokens & Tokenization - the currency of every LLM interaction ✅ Temperature & Sampling - controlling randomness and creativity in AI outputs ✅ Context Windows - the LLM's working memory and its hard limits ✅ Prompting Techniques - zero-shot, few-shot, chain-of-thought, and role-based prompting ✅ Your first LLM API call in Python (just 7 lines of code!) ✅ AI Workflows vs. AI Agents ✅ When to use workflows vs. agents in production system 🧪 FREE HANDS-ON LABS INCLUDED - https://kode.wiki/4sp4FMT Practice building agents in a real sandbox environment with no credit card, no surprise charges. API keys, cloud environments, and everything you need are already set up. 🚧 FULL COURSE COMING SOON ON KODEKLOUD This video covers the first half. Part 2 will be covering agent implementation, multi-agent systems, memory & reasoning strategies, and the 🦀OpenClaw open-source agent case study is dropping soon exclusively on KodeKloud.com. Subscribe so you don't miss it! 👉 Start Learning: https://kode.wiki/4ejpqC4 ⏱️ TIMESTAMPS 00:00 – Introduction & Course Overview 02:41 – What is ChatGPT? (GPT Explained) 08:30 – How Large Language Models (LLMs) Work 14:30 – Tokens & Tokenization