Machine Learning
Learns patterns from data to make predictions and decisions.
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
9 Topics
42 Lessons
0% Progress
AI Landscape
iARTIFICIAL INTELLIGENCE
Deep Learning
Uses neural networks with many layers to learn complex representations.
- Neural Networks
- CNN
- RNN
- Transformers
Generative AI
Creates new content — text, images, audio, and more.
- LLMs
- Multimodal Models
- Diffusion Models
- Foundation Models
Agentic AI
Autonomous systems that plan, act, remember, and use tools.
- Plans
- Act
- Memory
- Tools
The Modern GenAI Stack
iUSERStarts with a goal or question
AgentPlans and decides next actions
Vector DBStores embeddings for search
Prompt / ContextInstructions + retrieved context
LLMReasoning and generation core
Model I/OInputs, parsers, schemas
Tools / APIsExternal actions and data
RAGRetrieves grounded knowledge
MemoryShort & long-term state
APPLICATIONDelivers value to users
AI Technologies Explained
View all →layers
RAG
Retrieval-Augmented Generation grounds LLM answers in your documents.
Key UsePrivate knowledge Q&A
link
LangChain
Framework for composing LLM apps with chains, agents, and tools.
Key UseOrchestrate LLM workflows
database
LlamaIndex
Data framework for indexing and querying private knowledge with LLMs.
Key UseDocument Q&A indexes
cylinder
Vector DB
Stores embeddings for similarity search at scale.
Key UseSemantic search & RAG
bot
Agents
Systems that plan, use tools, and iterate toward goals.
Key UseAutonomous task completion
message
Prompt Eng.
Craft instructions and examples that steer model behavior.
Key UseReliable model outputs
sliders
Fine-tuning
Specialize a model on your domain with additional training.
Key UseDomain adaptation
grid
Embeddings
Numeric representations that capture semantic meaning.
Key UseSimilarity & clustering
wrench
Tools / APIs
External capabilities agents and apps can call.
Key UseExtend model actions
Your Learning Journey
Full path →01
Foundations
- Python Basics
- Math & Statistics
- Data Wrangling
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02
Deep Learning
- Neural Networks
- CNN & Vision
- Transformers Intro
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03
Generative AI
- LLMs & Prompting
- Fine-tuning Basics
- Multimodal Intro
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04
Knowledge Systems
- Embeddings
- RAG Pipelines
- Vector Databases
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05
LLM Engineering
- LangChain
- LlamaIndex
- Model I/O
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06
Agentic AI
- Planning Loops
- Tool Use
- Multi-Agent Patterns
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07
Production AI
- Evaluation
- Monitoring
- Deployment
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Build Real-World Projects
i- file-text Chat with Documents (RAG Chatbot) ›
- search AI Research Assistant ›
- headphones Customer Support Copilot ›
- users Multi-Agent Workflow Demo ›
- book Personal Knowledge Base ›
- chart Eval Dashboard for LLM Apps ›