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Beginner4 weeks
What is AI: Complete Foundation
Master AI fundamentals from zero to confident practitioner
45 chapters
3 free chapters
4.9 rating
Course Curriculum
🆓 Free Chapters
🔒 Full Course (42 chapters)
04
Transformers Explained
The architecture behind ChatGPT
30 min
05
AI Model Sizes
Understanding 7B vs 70B vs 405B
20 min
06
Tokenization
How AI processes language
25 min
07
Neural Networks
Building blocks of modern AI
35 min
08
Building Datasets
The fuel that powers AI
25 min
09
Training AI
From data to intelligence
30 min
10
Fine-Tuning
Customizing AI for specific tasks
25 min
11
Local vs Cloud
Deployment strategies and tradeoffs
20 min
12
Real World AI
AI in production systems
25 min
13
Your AI Journey
Career paths and next steps
20 min
14
AI Ethics and Bias
Building responsible AI systems
30 min
15
AI Environmental Impact
The carbon cost of AI
20 min
16
AI Laws and Regulations
Legal landscape for AI
25 min
17
Practical Tools & Resources
Best AI tools for every use case
30 min
18
AI in 2025: Current State
Where AI is today and where it's going
25 min
19
Dataset Creation for Beginners
Build your own training data
35 min
20
AI Limitations
What AI can't do (yet)
20 min
21
AI Safety & Security
Protecting AI systems
25 min
22
Making Money with AI
Monetization strategies
30 min
23
AI for Healthcare
Medical AI applications
25 min
24
AI for Education
Learning and tutoring AI
25 min
25
AI for Small Business
Automation for entrepreneurs
25 min
26
AI for Content Creators
Creative AI tools and workflows
25 min
27
AI for Legal Professionals
AI in legal practice
20 min
28
AI for Real Estate
Property and market AI
20 min
29
AI for Finance & Accounting
Financial AI applications
25 min
30
AI for E-commerce
Sales and customer AI
25 min
31
AI for Marketing Agencies
Marketing automation with AI
25 min
32
Advanced Dataset Engineering
Professional data pipelines
35 min
33
True Beginner Foundations
Starting from absolute zero
30 min
34
Classical Machine Learning
Pre-deep learning techniques
35 min
35
Vector Databases and RAG
Retrieval-augmented generation
40 min
36
MLOps and Production
Deploying AI at scale
35 min
37
AI Tools Selection
Choosing the right AI stack
25 min
38
Mathematics for AI
Essential math concepts
40 min
39
System Design for AI
Architecting AI systems
35 min
40
Project: Image Classifier
Build a CNN from scratch
60 min
41
Project: Sentiment Analyzer
NLP classification project
60 min
42
Project: RAG Chatbot
Build your own AI assistant
90 min
43
Project: AI Agent with Tools
Agentic AI development
90 min
44
Project: Production Deployment
Deploy AI to the cloud
60 min
45
AI Interview Preparation
Ace your AI job interviews
45 min
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What You'll Learn
Course Introduction
AI Is Not Magic
How AI Learns
Transformers Explained
AI Model Sizes
Tokenization
Neural Networks
Building Datasets
+ 37 more chapters
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