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The Applied AI Masterclass

Category : Other
Type: Tutorials
Language: English
Total Size: 3.6 GB
Uploaded By: freecoursewb
Downloads: 36948
Last checked: Jul. 2nd '26
Date uploaded: Jul. 2nd '26
Seeders: 28299
Leechers: 8786
INFO HASH: 6BF87A6B9B004BFAA8015BC49FD4F04CB0E86174

About The Applied AI Masterclass

Overview

The Applied AI Masterclass https://WebToolTip.com Released 6/2026 By Arpit Bhayani MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 6 Lessons ( 20h 52m ) | Size: 3.6 GB A hands-on, no-fluff, and highly practical masterclass that helps you become great at designing, implementing, and shipping AI systems at your workplace. Key Details Super hands-on and practical - focused on you building AI systems at your workplace Build and explore 24 pr

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The Applied AI Masterclass

https://WebToolTip.com

Released 6/2026
By Arpit Bhayani
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 6 Lessons ( 20h 52m ) | Size: 3.6 GB

A hands-on, no-fluff, and highly practical masterclass that helps you become great at designing, implementing, and shipping AI systems at your workplace.

Key Details
Super hands-on and practical - focused on you building AI systems at your workplace
Build and explore 24 prototypes for deep, practical understanding
Design and brainstorm 7 agentic systems combining AI and resilient system design
LLM credits are not included; you will need your own API keys for prototyping
Examples use Gemini, but you are free to use any model
Lifetime access to all session recordings
All systems will be built in Python
Course does not cover Machine Learning or Deep Learning, the focus is to understand how to leverage LLMs, understand different patterns, pitfalls, and build great systems using them.

Why Learn Applied AI Now?
AI is becoming a core layer of modern products
Building with LLMs, agents, and AI workflows is now a key engineering skill
Reliable AI systems require memory, tools, retrieval, workflows, and evaluation - not just LLM call
AI is the biggest opportunity today for engineers who can integrate AI into real-world products