Udemy - AI Agents in Production - Harness Engineering Masterclass [TorrentX]

AI Agents for Beginners: Build Alex, your AI HR Assistant https://WebToolTip.com Published 9/2026 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 52m | Size: 2.5 GB Learn 6 building blocks of AI agents: LLM, Prompts, ReAct, Tools, Memory and Planning. What you'll learn Build an AI agent from scratch in Python using the OpenAI API, without hiding behind LangChain or similar frameworks Explain how an AI agent differs from a chatbot, and why the ReAct think-act-observe loop is the core control flow Call an LLM from Python and work with messages, tokens, temperature, and model responses with confidence Write system prompts that set persona, rules, output format, and guardrails for reliable agent behavior Implement a ReAct agent loop in Python with stop conditions and max iterations so the agent can finish a multi-step task Add tools with OpenAI function calling so the agent can search the web and fetch page content in real time Add short-term memory so the agent keeps job, background, and conversation context across follow-up questions Use chain-of-thought and structured planning to break a complex goal into ordered steps the agent can execute Assemble all six building blocks into a Job Application Coach that researches companies and drafts tailored materials Treat the finished agent as a reusable framework you can extend with new tools, prompts, and use cases Requirements Beginner Python is enough: variables, functions, lists, and running a Jupyter notebook No prior AI, machine learning experience required