Gen AI, Machine Learning & Deep Learning Explained on AWS Cloud | Step-by-Step Guide

Want to master GENAI, AI, Machine Learning, and Deep Learning? This beginner-friendly guide breaks down everything you need to know, from key concepts to real-world applications using AWS SageMaker & Azure ML Studio! Learn how to build, train, and deploy models on the cloud.

💡 What You'll Learn:
✅ AI vs. ML vs. Deep Learning – Key Differences & Applications
✅ Neural Networks & How Deep Learning Works
✅ Machine Learning Workflow: From Problem to Deployment
✅ Real-World Use Cases: Predictive Analytics, Personalization & More
✅ Hands-on with AWS & Azure ML – SageMaker & ML Studio Features

⏳ Timestamps:
⏱ 00:00 - 12:00 | Intro to AI & ML – Overview of AI, ML, DL, and GenAI.
⏱ 12:01 - 19:54 | AI Concepts – Basics of AI, ML, DL, and history.
⏱ 19:55 - 30:37 | Evolution of AI – From WWII to modern advancements.
⏱ 30:38 - 41:04 | Neural Networks – How deep learning works.
⏱ 41:05 - 51:16 | AI vs ML vs DL – Key differences & applications.
⏱ 51:17 - 58:35 | Deep Learning Uses – GenAI in modern tech.
⏱ 58:35 - 01:09:01 | ML Overview – Algorithms & model training.
⏱ 01:09:01 - 01:18:31 | ML in Action – Predictive analytics & formulas.
⏱ 01:18:31 - 01:27:50 | ML Workflow – From problem to deployment.
⏱ 01:27:50 - 01:37:51 | Real-World ML – Personalization & scalability.
⏱ 01:37:51 - 01:47:53 | Supervised Learning – Classification & regression.
⏱ 01:47:53 - 01:57:52 | ML Types – Supervised, unsupervised, & reinforcement learning.
⏱ 01:57:52 - 02:05:32 | AWS & Azure ML – SageMaker & ML Studio features.

Happy Learning!

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