Udemy - AI Agents for Beginners - Build Alex, your AI HR Assistant

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size2.5 GB
  • Uploaded Byfreecoursewb
  • Downloads89
  • Last checkedSep. 27th '26
  • Date uploadedSep. 27th '26
  • Seeders 20
  • Leechers16

Infohash : A4E66611FF5FC050D3F7A7D022B46A2D98CB154B

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

Files:

[ WebToolTip.com ] Udemy - AI Agents for Beginners - Build Alex, your AI HR Assistant
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1 - Housekeeping.mp4 (22.6 MB)
    2 - Block 1 - LLM Brain
    • 2 - Step 1 - Overview.mp4 (5.6 MB)
    • 3 - Step 2 - API Call and Response Object.mp4 (80.1 MB)
    • 4 - Step 3 - Token Cost - LLM Wrapper - Temperature.mp4 (62.1 MB)
    • 5 - Step 4 - Simulating Memory.mp4 (115.3 MB)
    • 6 - Step 5 - Calling the Agent.mp4 (97.2 MB)
    3 - Block 2 - System Prompt
    • 10 - Step 4 - Rules and Guardrails.mp4 (54.5 MB)
    • 11 - Step 5 - Output Format.mp4 (35.2 MB)
    • 12 - Step 6 - Prompt Iteration.mp4 (21.7 MB)
    • 13 - Step 7 - Final Prompt.mp4 (38.9 MB)
    • 14 - Step 8 - Testing the Final Prompt.mp4 (67.7 MB)
    • 7 - Step 1 - Overview.mp4 (30.3 MB)
    • 8 - Step 2 - Persona.mp4 (51.6 MB)
    • 9 - Step 3 - Task Definition.mp4 (37.4 MB)
    4 - Block 3 - Agent Loop
    • 15 - Step 1 - Overview.mp4 (19.4 MB)
    • 16 - Step 2 - ReAct - Reason and Act.mp4 (12.7 MB)
    • 17 - Step 3 - Mock Tools.mp4 (20.4 MB)
    • 18 - Step 4- ReAct System Prompt.mp4 (14.4 MB)
    • 19 - Step 5 - Part 1 - Visualising the Agent Loop.mp4 (31.5 MB)
    • 20 - Step 5 - Part 2 - Building the Agent function.mp4 (90.5 MB)
    • 21 - Step 5 - Part 3 - Run fuction line by line.mp4 (223.4 MB)
    • 22 - Step 6 - Running the Function.mp4 (44.6 MB)
    • 23 - Step 7 - Max Iterations.mp4 (35.1 MB)
    5 - Block 4 - Tools
    • 24 - Step 1 - Overview.mp4 (3.3 MB)
    • 25 - Step 2 - Tavily.mp4 (12.5 MB)
    • 26 - Step 3 - Tool Schema.mp4 (41.3 MB)
    • 27 - Step 4 - Web Search Tools with Tavily.mp4 (48.5 MB)
    • 28 - Step 5 - Job posting Tool with Tavily.mp4 (33.5 MB)
    • 29 - Step 6 - Define Tool Schema.mp4 (28.3 MB)
    • 30 - Step 7 - Tool Dispatcher.mp4 (28.2 MB)
    • 31 - Step 8 - Upgraded Agent Loop.mp4 (47.4 MB)
    • 32 - Step 9 - Overview of Agent Loop.mp4 (48.7 MB)
    • 33 - Step 10 - Running the Agent.mp4 (59.6 MB)
    6 - Block 5 - Memory
    • 34 - Step 1 - Overview.mp4 (8.6 MB)
    • 35 - Step 2 - Session State.mp4 (51.4 MB)
    • 36 - Step 3 - Conversation Memory Class.mp4 (172.1 MB)
    7 - Block 6 - Planning
    • 37 - Step 1 - Overview.mp4 (12.4 MB)
    • 38 - Step 2 - Chain of Thought.mp4 (40.2 MB)
    • 39 - Step 3 - Structured Output - JSON format.mp4 (57.2 MB)
    • 40 - Step 4 - Execute Step function.mp4 (64.9 MB)
    • 41 - Step 5 - Run Planned Agent Function.mp4 (63.4 MB)
    • 42 - Step 6 - Self Reflection.mp4 (74.2 MB)
    • 43 - Step 7 - Needs Planning.mp4 (40.1 MB)
    8 - Block 7 - ALEX the Agent
    • 44 - Step1 - Overview.mp4 (21.5 MB)
    • 45 - Step 2- Overview - System Prompt.mp4 (23.8 MB)
    • 46 - Step 3- Overview Tools.mp4 (16.6 MB)
    • 47 - Step 4- Overview Memory.mp4 (31.5 MB)
    • 48 - Step 5- Overview Agent Loop.mp4 (18.0 MB)
    • 49 - Step 6- Overview Planning.mp4 (13.7 MB)
    • 50 - Step 7 - Meet Alex - Job Application Agent Class.mp4 (85.7 MB)
    • 51 - Step 8- Running Alex Part 1.mp4 (44.7 MB)
    • 52 - Step 8- Running Alex Part 2.mp4 (112.7 MB)
    • 53 - Step 9 - Summary and What Next.mp4 (48.3 MB)
    • Bonus Resources.txt (0.1 KB)

Code:

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