| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Module 01 Welcome to AI Agent Course | |||
| 1 - 01 Welcome to AI Agents Course.mp4 | 45.7 MB | ||
| 2 - 02 AI Agent Course Journey.mp4 | 21.7 MB | ||
| 2 - Module 02 AI Agents Fundamentals | |||
| 10 - 03 What is Generative AI.mp4 | 50 MB | ||
| 11 - 04 What is LLMs.mp4 | 62.2 MB | ||
| 12 - 05 What is AI Agent.mp4 | 66.4 MB | ||
| 13 - 06 AI Assistant vs AI Agent.mp4 | 49.8 MB | ||
| 14 - 07 Traditional vs AI Agent.mp4 | 57.3 MB | ||
| 15 - 08 AI Agent Thinking.mp4 | 39.7 MB | ||
| 16 - 09 Lifecycle of an AI Agent.mp4 | 34.9 MB | ||
| 17 - 10 AI Agent Architecutre.mp4 | 50.6 MB | ||
| 8 - 01 What is AI.mp4 | 38.3 MB | ||
| 9 - 02 What is ML.mp4 | 86.6 MB | ||
| 3 - 03 What you will build in AI Agent Course.mp4 | 32.4 MB | ||
| 4 - 04 Resources for this AI Agent Course.mp4 | 10.2 MB | ||
| 5 - 05 Get Max Benefits from this Course.mp4 | 29.6 MB | ||
| 6 - 06 Requirements for this AI Agetn Course.mp4 | 20.6 MB | ||
| 7 - 07 Software Setup & hello world Agent.mp4 | 140.1 MB |
Learn AI Agents : Build Intelligent AI Agents from Scratch
https://WebToolTip.com
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 32m | Size: 836.12 MB
Learn Agentic AI from Scratch and Build Practical AI Agents with Python, OpenAI, Gemini, Memory, Tools, and LLMs.
What you'll learn
Understand Agentic AI, AI Agents, Generative AI, LLMs, and how intelligent agents think, plan, act, and respond.
Build practical AI Agents with Python using modern LLM APIs and understand the complete AI Agent development workflow.
Use OpenAI API and Gemini API with Python to send prompts, receive AI responses, and create intelligent AI applications.
Add memory, reasoning, planning, tools, actions, and context to build smarter and more capable Agentic AI systems.
Build real-world AI Agents for research, translation, coding, debugging, email writing, summarization, and other tasks.
Learn function calling, structured JSON output, external APIs, error handling, Prompt Engineering, and AI cost optimization.
Requirements
A computer with Python installed
Basic Python knowledge
VS Code or another code editor
Interest in Artificial Intelligence
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