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[ WebToolTip.com ] Udemy - AI - ML Foundations for Absolute Beginners (AgenticAI + MLOps)

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3.4 GB
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4
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Files
40
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Description
AI/ML Foundations for Absolute Beginners (AgenticAI + MLOps)


https://WebToolTip.com


Published 3/2025

Created by Gourav Shah,School of Devops & AI,Vivian Aranha

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Level: All | Genre: eLearning | Language: English | Duration: 40 Lectures ( 4h 16m ) | Size: 3.35 GB


Build a Solid Conceptual Foundation on Machine Learning, Large Language Models (LLMs) and Agentic AI along with MLOps


What you'll learn

Learn What Machine Learning Really Is – Build a clear conceptual understanding of how machine learning works and how it differs from traditional programming.

Explore Key Types of Machine Learning – Get introduced to supervised, unsupervised, and reinforcement learning with simple, relatable explanations.

Understand the End-to-End ML Process – Learn the basic steps involved in building a machine learning model, from data preparation to evaluation.

Get Familiar with Popular ML Algorithms – Discover widely-used ML algorithms like linear regression, decision trees, and neural networks—without diving into hea

Introduction to Large Language Models (LLMs) – Understand how modern AI models like ChatGPT work, including concepts like tokens, transformers, and prompt engin

Discover the fundamentals of Agentic AI – including memory, planning, agent architectures, tools, and real-world use cases

Reflect on the ethical considerations of Agentic AI and how it ties into modern practices like DevOps and MLOps


Requirements

No programming or math background required. This course is designed for complete beginners. All concepts will be explained from scratch in a simple, intuitive way.

File list
  • [ WebToolTip.com ] Udemy - AI - ML Foundations for Absolute Beginners (AgenticAI + MLOps)
  • ~Get Your Files Here !/1 - Introduction/1 -Section Intro.mp4 36.9 MB
  • ~Get Your Files Here !/1 - Introduction/2 -Traditional Programming vs Machine Learning.mp4 131.2 MB
  • ~Get Your Files Here !/1 - Introduction/3 -Supervised Learning.mp4 76.6 MB
  • ~Get Your Files Here !/1 - Introduction/4 -Unsupervised Learning.mp4 76.6 MB
  • ~Get Your Files Here !/1 - Introduction/5 -Reinforcement Learning.mp4 74.8 MB
  • ~Get Your Files Here !/1 - Introduction/6 -Feature Engineering and Dataset Splitting.mp4 53.9 MB
  • ~Get Your Files Here !/1 - Introduction/8 -How fit is your Model Evaluation and OverUnderfitting.mp4 47.3 MB
  • ~Get Your Files Here !/1 - Introduction/9 -Hyperparameter Tuning and Balancing BiasVariance.mp4 58.5 MB
  • ~Get Your Files Here !/2 - Introduction to Machine Learning Algorithms/1 -Section Intro.mp4 16.4 MB
  • ~Get Your Files Here !/2 - Introduction to Machine Learning Algorithms/2 -Linear Regression.mp4 50.3 MB
  • ~Get Your Files Here !/2 - Introduction to Machine Learning Algorithms/3 -Logistic Regression.mp4 26.6 MB
  • ~Get Your Files Here !/2 - Introduction to Machine Learning Algorithms/4 -Decision Tree.mp4 28.2 MB
  • ~Get Your Files Here !/2 - Introduction to Machine Learning Algorithms/5 -Random Forest.mp4 39.3 MB
  • ~Get Your Files Here !/2 - Introduction to Machine Learning Algorithms/6 -Support Vector Machines (SVMs).mp4 25.3 MB
  • ~Get Your Files Here !/2 - Introduction to Machine Learning Algorithms/7 -Neural Networks.mp4 45.2 MB
  • ~Get Your Files Here !/2 - Introduction to Machine Learning Algorithms/8 -Boosting Algorithms.mp4 84.6 MB
  • ~Get Your Files Here !/2 - Introduction to Machine Learning Algorithms/9 -Module Summary.mp4 29.7 MB
  • ~Get Your Files Here !/3 - Large Language Models/1 -Section Intro.mp4 23.9 MB
  • ~Get Your Files Here !/3 - Large Language Models/2 -What and How of Large Language Models (LLMs).mp4 47.6 MB
  • ~Get Your Files Here !/3 - Large Language Models/3 -Tokens and Parameters.mp4 45.5 MB
  • ~Get Your Files Here !/3 - Large Language Models/4 -Transformers and Attention Mechanism.mp4 47 MB
  • ~Get Your Files Here !/3 - Large Language Models/5 -Pre Training and Fine Tuning of Foundational Models.mp4 35.5 MB
  • ~Get Your Files Here !/3 - Large Language Models/6 -Prompt Engineering.mp4 69.4 MB
  • ~Get Your Files Here !/3 - Large Language Models/7 -Limitations of LLMs.mp4 33.4 MB
  • ~Get Your Files Here !/3 - Large Language Models/8 -Retrieval Augmented Generation (RAG).mp4 15.6 MB
  • ~Get Your Files Here !/4 - Introduction to Agentic AI/1 -What is Agentic AI.mp4 13.1 MB
  • ~Get Your Files Here !/4 - Introduction to Agentic AI/2 -What is Agentic AI.mp4 173.8 MB
  • ~Get Your Files Here !/4 - Introduction to Agentic AI/3 -Goals and Tools.mp4 82 MB
  • ~Get Your Files Here !/4 - Introduction to Agentic AI/4 -Memory and Planning.mp4 34.1 MB
  • ~Get Your Files Here !/4 - Introduction to Agentic AI/5 -Agentic Architecture and Types of Agents.mp4 100.5 MB
  • ~Get Your Files Here !/4 - Introduction to Agentic AI/6 -Multi Agents, Examples and Challenges.mp4 97.2 MB
  • ~Get Your Files Here !/4 - Introduction to Agentic AI/7 -Agentic Devops, MLOps and Ethical Considerations.mp4 43.2 MB
  • ~Get Your Files Here !/4 - Introduction to Agentic AI/8 -Module Summary.mp4 15.3 MB
  • ~Get Your Files Here !/5 - Introduction to MLOps/1 -What is MLOps.mp4 353.6 MB
  • ~Get Your Files Here !/5 - Introduction to MLOps/2 -Story of Evolution of MLOps, LLMOps and AgenticAIOps.mp4 308.5 MB
  • ~Get Your Files Here !/5 - Introduction to MLOps/3 -Comparing Three Approach to AI - ML, LLM, Agentic.mp4 351 MB
  • ~Get Your Files Here !/5 - Introduction to MLOps/4 -MLOps Case Studies - Learning from the Pioneers.mp4 124 MB
  • ~Get Your Files Here !/5 - Introduction to MLOps/5 -Comparing Devops vs MLOps.mp4 286.8 MB
  • ~Get Your Files Here !/5 - Introduction to MLOps/6 -Emergence of a MLOps Engineer.mp4 229.8 MB
  • ~Get Your Files Here !/Bonus Resources.txt 70 B

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