AI Fundamentals
- What is AI, ML and Generative AI?
- Python for AI
- Data and model basics
- Prompt engineering fundamentals
BYTEHUNT AI LEARNING
Learn AI from basics to advanced, with real architecture patterns.
A structured learning hub designed to help students and professionals understand AI, build practical systems and become confident in modern AI technologies.
LEARNING PATH
One journey. Three levels.
Start with fundamentals and progress toward real-world AI architecture and production implementation.
Build with LLMs
- LLM applications
- Embeddings and vector databases
- RAG architecture
- AI agents and tool calling
Production AI
- Agentic architecture patterns
- Evaluation and guardrails
- Observability and governance
- Performance, security and cost
ARCHITECTURE LEARNING
Understand how modern AI systems are designed.
Learn the concepts visually through simple architecture patterns before building them in real projects.
LLM Application Pattern
User
Prompt / Query
LLM
Response
RAG Architecture Pattern
User
Retriever
Vector DB
LLM + Context
Answer
Agentic AI Pattern
Goal
AI Agent
Tools / APIs
Memory
Actions
CERTIFICATIONS & READINESS
Build knowledge that helps you become AI proficient.
The learning roadmap includes certification-oriented preparation, hands-on architecture understanding and project-based learning guidance.
Certification Preparation
Foundation → Generative AI → LLMs → RAG → Agents → Enterprise AI