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