AI, ML and Generative AI - for Managers and Business Leaders

Learning all about Artificial Intelligence, Machine Learning and Generative AI - Beginners friendly way

AI, ML and Generative AI - for Managers and Business Leaders - Codeintra

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Learn  Artificial Intelligence, Machine Learning and Generative AI in the simplest possible way. Make yourself AI aware. End of this course, you will be in a position to speak AI with others


Designed for beginners with ZERO knowledge on AI.


No Coding skill required


This course is designed to cover everything about AI in a high level. It covers all the key concept of AI in a beginners friendly manner with easy to understand examples.


You will Learn:

  • Fundamental of Artificial Intelligence, Machine Learning and Generative AI

  • Concept of machine learning and its relation to AI

  • Supervised Learning,  Unsupervised Learning & Reinforcement Learning in Machine Learning

  • Types of Data - Labelled Data & Unlabelled Data

  • Types of Data - Structured Data & Unstructured Data

  • Stages in Machine Learning

  • Overfitting & Underfitting

  • What is Natural Language Processing?

  • How Artificial Neural Network works?

  • Foundation Models, Large Language Models, Diffusion Models

  • Basic of Deep Learning

  • Multi-modal Models

  • Token and Embedding in AI

  • Context Window of a model

  • Knowledge Cutoff of a model

  • Hallucination

  • Grounding and RAG in AI

  • All you need to know about Prompt Engineering

Who Should Take This Course?

This course is designed for anyone interested in learning about AI, including:

  • Beginners who wants to understand AI without coding.

  • IT Engineers and IT Managers who is working with AI or planning to work with AI

  • Students preparing for careers in technology and need basic understanding of AI


Learning Objectives

🔹Basic of Artificial Intelligence , Machine Learning, Generative AI
🔹Understand AI Fundamentals
🔹Concept of machine learning and its relation to AI
🔹Supervised Learning, Unsupervised Learning & Reinforcement Learning in Machine Learning
🔹Types of Data - Labelled Data & Unlabelled Data
🔹Types of Data - Structured Data & Unstructured Data
🔹Stages in Machine Learning
🔹Overfitting & Underfitting
🔹Generative AI fundamentals
🔹what is Natural Language Processing?
🔹How Artificial Neural Network works?
🔹Foundation Models, Large Language Models, Diffusion Models
🔹Basic of Deep Learning
🔹Multi-modal Models
🔹Token and Embedding in AI
🔹Context Window of a model
🔹Knowledge Cutoff of a model
🔹Hallucination
🔹Grounding and RAG in AI
🔹All you need to know about Prompt Engineering

Prerequisites

🔹Just the Interest to Learn

Who This Course Is For

🔹Beginners who wants to learn AI, Machine Learning and Generative AI in Non-Technical Terms
🔹Beginners who wants to understand AI without coding
🔹IT Engineers and IT Managers who is working with AI or planning to work with AI
🔹Students preparing for careers in technology and need basic understanding of AI
Course Details
Price FREE
Views 2
Lectures 53
Duration 3.5 hours
Last Update 29-Apr-2026
Release Date 13-Apr-2026
Category IT & Software
This course includes:

📹 Video lectures

📄 Downloadable resources

📱 Mobile & desktop access

🎓 Certificate of completion

♾️ Lifetime access

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