| 1 -AI Ethics Principles.mp4 | 148 MB | ||
| 1 -Congratulations!.mp4 | 19.6 MB | ||
| 1 -Exposing a Model Through an API.mp4 | 50.8 MB | ||
| 1 -Feature Engineering.mp4 | 225.4 MB | ||
| 1 -Generative AI Introduction.mp4 | 169.7 MB | ||
| 1 -Introduction and Learning Objectives.mp4 | 35.2 MB | ||
| 1 -Understanding Object Detection.mp4 | 60.5 MB | ||
| 1 -Understanding Unsupervised Learning.mp4 | 187.7 MB | ||
| 1 -What are Neural Networks.mp4 | 60.3 MB | ||
| 1 -What is AI How about ML, Deep Learning, GenAI, Data Science.mp4 | 49.4 MB | ||
| 10 -Image Generation.mp4 | 156.7 MB | ||
| 11 -Video Generation.mp4 | 131.5 MB | ||
| 12 -Audio Generation.mp4 | 105.1 MB | ||
| 2 -A Brief History of AI.mp4 | 42 MB | ||
| 2 -GenAI Models.mp4 | 169.6 MB | ||
| 2 -K-Means Clustering Example.mp4 | 55.5 MB | ||
| 2 -On Data Labeling.mp4 | 118.1 MB | ||
| 2 -Supervised Learning Models.mp4 | 37.7 MB | ||
| 2 -Using Deep Learning.mp4 | 40.8 MB | ||
| 2 -What is the Cloud.mp4 | 77 MB | ||
| 3 -AI for Images.mp4 | 94.6 MB | ||
| 3 -AI in the Cloud.mp4 | 82.1 MB | ||
| 3 -Prompt Engineering Introduction.mp4 | 26.4 MB | ||
| 3 -Steps for Building a Model.mp4 | 53.7 MB | ||
| 3 -Supervised, Unsupervised, Reinforcement Learning.mp4 | 169 MB | ||
| 4 -AI Examples in the Real World.mp4 | 41.1 MB | ||
| 4 -Introduction to NLP.mp4 | 80 MB | ||
| 4 -Prompt Engineering Techniques.mp4 | 53.5 MB | ||
| 5 -How to Improve the Answer.mp4 | 62.2 MB | ||
| 5 -Introduction to Kaggle.mp4 | 82 MB | ||
| 6 -Understanding the Answer Better.mp4 | 24.6 MB | ||
| 7 -Prompt Engineering Summary.mp4 | 24.9 MB | ||
| 8 -Data Exploration with GenAI.mp4 | 148.9 MB | ||
| 9 -GenAI Text Examples.mp4 | 185.1 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 36 total files | |||
From Using AI to Understanding It
https://WebToolTip.com
Published 5/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 10m | Size: 3 GB
Machine Learning Concepts, NLP, Object Detection, GenAI, Prompt Engineering, Deployment, Ethical AI, Real-World Examples
What you'll learn
Understand core AI concepts
Learn the key terminology around AI
Understand supervised, unsupervised and reinforcement learning concepts
Discover Feature Engineering
Learn the steps to build an AI model
Differences between a supervised and unsupervised learning
A concrete example of unsupervised learning using k-means
Basics of neural networks and the deep learning notions
Introduction to Tensorflow as a library for building deep learning models
Introduction to computer vision
Understand object detection and data labeling
Discover Natural Language Processing (NLP)
Learn about Generative AI
Find the right Generative AI tool for your task
Text, image, audio and video generation
Prompt engineering tips and tricks
Understand APIs and how to expose an AI model through an API
Discover the cloud and AI cloud services
Understand AI Ethics principles
Discover fairness, transparency, accountability, privacy and reliability in AI systems
Explore ethical considerations and how to achive ethical AI
Real-world examples to form a solid understanding of the real AI adoption
Requirements
No programming experience needed, just a curiosity around the topic
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| 638.5 MB | freecoursewb | 1 week | 7 | 4 | |
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| 258.8 MB | freecoursewb | 3 weeks | 0 | 0 | |
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