AI, Machine Learning & GenAI in a Weekend - for Non-Coders

Posted By: lucky_aut

AI, Machine Learning & GenAI in a Weekend - for Non-Coders
Published 6/2025
Duration: 3h 16m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 1.93 GB
Genre: eLearning | Language: English

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

What you'll learn
- 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

Requirements
- Just the Interest to Learn

Description
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:

Beginnerswho wants to understand AI without coding.

IT Engineers and IT Managerswho is working with AI or planning to work with AI

Studentspreparing for careers in technology and need basic understanding of AI

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
More Info

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