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What is AI
Complete foundations course covering AI concepts from basics to advanced applications. Hands-on chapters with labs, quizzes, and Ollama experiments.
142 chaptersFirst 2 chapters free to preview
After this course, you'll be able to:
✓Explain AI concepts to anyone — team, boss, or client
✓Understand neural networks, transformers, and tokenization
✓Build 5 real projects: image classifier, NLP analyzer, RAG chatbot, AI agent, production deploy
✓Know which AI approach to use for any business problem
Full syllabus
2
Types Of AI And Common Myths
3
Your First Local AI Conversation
4
AI Learning Journey
5
Three Ways AI Learns
6
Training In Practice
7
Attention Mechanism
8
Multi Head Attention And Context
9
How GPT Generates Text
10
Understanding Model Sizes
11
Choosing And Running Models
12
Tokenization Basics
13
Embeddings And Token Impact
14
Neurons Layers And Depth
15
Training Networks And Types
16
Dataset Strategy And Sources
17
Dataset Formats Code And Practice
18
Training Loop And Hyperparameters
19
Training Code And Ollama Export
20
Fine Tuning
21
Local Vs Cloud
22
Real World AI
23
Your AI Journey
24
Appendices
25
Prompt Engineering Fundamentals
26
Getting Started With Ollama
27
Understanding AI Bias
28
Measuring Fairness And Building Fair AI
29
AI Environmental Impact Understanding
30
AI Environmental Impact Reducing
31
AI Laws And Regulations
32
Visual Aids And Diagrams
33
Interactive Exercises Labs
34
Interactive Exercises Projects And LocalAI
35
Real World Case Studies
36
Practical Tools Platforms
37
Practical Tools Prompts Pricing
38
Community Online Groups
39
Community Books Courses Plan
40
AI 2025 Models Hardware
41
AI 2025 Jobs Tools Future
42
Learning Paths Summaries
43
Learning Paths FAQ Glossary
44
Dataset Creation Basics
45
Dataset Creation Practice
46
AI Limitations
47
RLHF How AI Became Helpful
48
AI Safety Spotting Protecting
49
AI Safety Deepfakes Checklist
50
Making Money Services Pricing
51
Making Money Examples Scaling
52
Technical Prerequisites Setup
53
Technical Prerequisites Troubleshooting
54
Healthcare AI Overview And HIPAA
55
Healthcare AI Clinical Applications
56
Healthcare AI Implementation And Local
57
Education AI Lesson Planning
58
Education AI Assessment And Personalization
59
Education AI Implementation And Local
60
Small Business AI Customer Service
61
Small Business AI Marketing And Sales
62
Small Business AI Operations And Local
63
Creator AI YouTube
64
Creator AI Podcasts And Blogs
65
Creator AI Social And Monetization
66
Legal AI Contracts
67
Legal AI Research And Drafting
68
Legal AI Ethics And Local
69
AI For Real Estate
70
AI For Finance Accounting
71
AI Ecommerce Products Pricing Service
72
AI Ecommerce Marketing Cases
73
Marketing Agency AI Production
74
Marketing Agency AI Reporting And Pricing
75
AI For Software Developers
76
Dataset Versioning And Labeling
77
Dataset Leakage And Splits
78
Dataset Augmentation And Documentation
79
Beginner Foundations AI And Models
80
Beginner Foundations Training And Overfitting
81
Beginner Foundations Metrics Loss Optimizers
82
Beginner Foundations Features And Pipeline
83
Classical ML Linear Models
84
Classical ML Tree Models
85
Classical ML SVM Clustering PCA
86
RAG Embeddings And Vector Databases
87
RAG Pipeline And Advanced
88
RAG Production Patterns
89
RAG Evaluation And Optimization
90
MLOps Tracking And Versioning
91
MLOps Docker Containerization
92
MLOps Kubernetes And CICD
93
MLOps Monitoring And AB Testing
94
MLOps Feature Stores And Best Practices
95
Tools Decision Framework And LLM Comparison
96
Tools OSS VS SAAS And Comparisons
97
Tools ADRs And Quick Reference
98
Math Vectors And Matrices
99
Math Calculus And Backpropagation
100
Math Probability And Statistics
101
Multimodal AI Primer
102
System Design Online Offline Streaming
103
System Design Serving And Scaling
104
System Design Caching And Checklist
105
Project Image Classifier Setup
106
Project Image Classifier Data
107
Project Image Classifier Models
108
Project Image Classifier Training
109
Project Image Classifier API
110
Project Image Classifier Deploy
111
Project NLP Setup And Data
112
Project NLP Models
113
Project NLP Training And API
114
Project RAG Configuration
115
Project RAG Document Loaders
116
Project RAG Chunking
117
Project RAG Embeddings
118
Project RAG Vector Stores
119
Project RAG Retrieval
120
Project RAG LLM And Memory
121
Project RAG Chain And Pipeline
122
Project RAG API And UI
123
Project RAG Evaluation And Deployment
124
AI Agents Conceptual Primer
125
Project Agent Core
126
Project Agent Tools
127
Project Agent ReAct And Plan
128
Project Agent MultiAgent And Safety
129
Project Agent API And Examples
130
Project Production Setup
131
Project Production MLflow Training
132
Project Production Serving
133
Project Production Monitoring
134
Project Production Docker K8s CICD
135
Project Production AB Testing And Examples
136
Interview ML Fundamentals Part1
137
Interview ML Fundamentals Part2
138
Interview Deep Learning
139
Interview Statistics
140
Interview System Design
141
Interview Coding Challenges
142
Interview Behavioral Cheatsheets StudyPlan
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