| 1 -Day 1 - Autonomous AI Agent Demo Using N8n to Control Smart Home Devices.mp4 | 116.6 MB | ||
| 10 -Day 2 - Understanding Agent vs Workflow Patterns in LLM Application Design.mp4 | 140.4 MB | ||
| 11 -Day 3 - Orchestrating Multiple LLMs Comparing GPT-4, Claude, Gemini & DeepSeek.mp4 | 206.2 MB | ||
| 12 -Day 3 - Multi-LLM API Integration Comparing OpenAI, Anthropic & Other Models.mp4 | 137.9 MB | ||
| 13 -Day 3 - Comparing LLM APIs Using OpenAI Client Library with Claude, Gemini & ++.mp4 | 166 MB | ||
| 14 -Day 3 - Multi-Model Orchestration Creating a System to Evaluate AI Responses.mp4 | 135.1 MB | ||
| 15 -Day 3 - Connecting Agentic Patterns to Tool Use Essential AI Building Blocks.mp4 | 11.8 MB | ||
| 16 -Day 4 - Comparing AI Agent Frameworks Simplicity vs Power in LLM Orchestration.mp4 | 132.3 MB | ||
| 17 -Day 4 - Resources vs. Tools Two Ways to Enhance LLM Capabilities in Agentic AI.mp4 | 157.1 MB | ||
| 18 -Day 4 - Build a Web Chatbot That Acts Like You Using Gradio & OpenAI.mp4 | 147.7 MB | ||
| 19 -Day 4 - Using Gemini to Evaluate GPT-4 Responses A Multi-LLM Pipeline.mp4 | 190 MB | ||
| 2 -Day 1 - AI Agent Frameworks Explained OpenAI SDK, Crew AI, LandGraph & AutoGen.mp4 | 243.7 MB | ||
| 20 -Day 4 - Building Agentic LLM Workflows Resources, Tools & Structured Outputs.mp4 | 28.1 MB | ||
| 21 -Day 5 - Building Your Career Alter Ego LLM Function Calling with Push Alerts.mp4 | 132.5 MB | ||
| 22 -Day 5 - LLM Tool Calls Demystified How to Process and Execute Function Requests.mp4 | 81.2 MB | ||
| 23 -Day 5- Building AI Assistants Implementing Tools for Handling Unknown Questions.mp4 | 37.8 MB | ||
| 24 -Day 5 - Creating & Deploying an AI Agent From Chat Loop to HuggingFace Spaces.mp4 | 147.4 MB | ||
| 25 -Day 5 - Deploying Career Conversation Chatbots to Gradio.mp4 | 112.3 MB | ||
| 26 -Day 5 - Foundation Week Wrap-up Building Complete AI Agents with APIs & Tools.mp4 | 33.1 MB | ||
| 3 -Day 1 - Agent Engineering Setup Understanding Cursor IDE, UV & API Options.mp4 | 242.5 MB | ||
| 4 -Day 1 - Windows Setup for AI Development Git, Cursor IDE & UV Package Manager.mp4 | 372 MB | ||
| 5 -Day 1 - Setting Up Your Mac for AI Projects GitHub, Cursor IDE & OpenAI API Key.mp4 | 345.6 MB | ||
| 6 -Day 1 - Building Your First Agentic AI Workflow with OpenAI API Step-by-Step.mp4 | 279.7 MB | ||
| 7 -Day 1 - Introduction to Agentic AI Creating Multi-Step LLM Workflows + Autonomy.mp4 | 32.5 MB | ||
| 8 -Day 2 - Building Effective Agents LLM Autonomy & Tool Integration Explained.mp4 | 125.9 MB | ||
| 9 -Day 2 - 5 Essential LLM Workflow Design Patterns for Building Robust AI Systems.mp4 | 179.3 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 28 total files | |||
The Complete Agentic AI Engineering Course (2025)
https://WebToolTip.com
Published 4/2025
Created by LLM Engineer
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 26 Lectures ( 3h 52m ) | Size: 3.84 GB
Master 5 Agentic frameworks to build 9 AI Agentic apps with OpenAI Agents SDK, Crew AI, LangGraph, Autogen and MCP.
What you'll learn
How Apply Agentic AI to real-world commercial problems.
Architect Agentic solutions with proven, best practice design patterns.
Connect LLMs to collaborate using the fundamentals of Agentic AI, like Tools, Structured Outputs, Memory.
Create Autonomous Agentic applications with CrewAI, including Agents that write and execute codeRapidly build Agentic products with OpenAI Agents SDK.
Build robust and repeatable Agentic solutions with LangGraph.
Pioneer at the forefront of Agentic AI with AutoGen AgentChat and AutoGen Core.
Unlock the vast capabilities of open-source tools and resources enabled by Anthropic’s Model Context Protocol (MCP).
Deliver groundbreaking commercial solutions, drawing on experience from 8 real-world projects.
Requirements
While it’s ideal if you can code in Python and have some experience working with LLMs, this course is designed for a very wide audience, regardless of background. I’ve included a whole folder of self-study labs that cover foundational technical and programming skills. If you’re new to coding, there’s only one requirement: plenty of patience!
The course runs best if you have a small budget for APIs, but it’s totally your choice. You can complete the entire course with no API spend. If you do wish to use frontier models, the typical spend would be under $5. You can choose to access more capabilities if you’re comfortable spending a little more.
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Udemy - ISO 26262 Automotive Functional Safety - The Blueprint Method Posted by
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Udemy - Databricks Playbook - Operate, Govern and Defend the Lakehouse Posted by
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| 426.3 MB | freecoursewb | 5 days | 33 | 10 | |
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