AI Academy

Learn AI from Foundation to Mastery

Build your AI expertise with structured lessons covering everything from basic concepts to advanced techniques. Master tokenization, transformers, fine-tuning, and prompt engineering.

Structured Learning

Self-Paced

Expert Content

Databases

Vector Databases: Understanding Semantic Search and Embeddings

Learn how vector databases solve the semantic gap between human understanding and computer storage using mathematical embeddings for unstructured data

Intermediate

Updated Aug 20

Vector DatabasesEmbeddingsSemantic SearchRAGMachine Learning

Vibe Coding

Context Engineering Fundamentals: AI Agent Architecture & Dynamic Systems

Learn context engineering - the evolution beyond prompt engineering for building app and AI agents. Explore how to design dynamic systems that give LLMs the right information at the right time for complex task automation.

Intermediate

Updated Aug 16

Context EngineeringAI AgentsSystem PromptsAgent ArchitectureMulti-Agent Systems

Agents

Featured

AI Agents: Autonomous Systems for Complex Task Automation

Understand AI agents - autonomous software systems that perceive, decide, and act independently. Explore agentic workflows, multi-agent systems, and practical implementation patterns for business automation.

Intermediate

Updated Aug 11

AI AgentsAutonomous SystemsAgentic WorkflowsMulti-Agent SystemsTask Automation

MCP

Featured

Model Context Protocol (MCP): The Universal AI Integration Standard

Understand the Model Context Protocol - Anthropic's open standard that connects AI models to external tools and data sources. Learn client-server architecture, JSON-RPC communication, and practical integration patterns.

Intermediate

Updated Aug 11

MCPAI IntegrationProtocol StandardsClient-Server ArchitectureAPI Design

Models

Pretraining & Fine-tuning: How AI Models Learn and Specialize

Understand the two-stage learning process powering modern AI. Explore pretraining on massive datasets, fine-tuning for specific tasks, and parameter-efficient methods like LoRA that make customization accessible.

Intermediate

Updated Aug 11

PretrainingFine-tuningTransfer LearningLoRADomain Adaptation

Vibe Coding

Prompt Engineering Fundamentals: Master AI Communication

Learn the fundamentals of prompt engineering. Explore zero-shot, few-shot, and chain-of-thought prompting, role-based instructions, and system vs user prompts to improve AI model performance.

Beginner

Updated Aug 11

Prompt EngineeringFew-shot LearningChain-of-thoughtRole PromptingAPI Design

Tokens

Tokenization & Embeddings: The Foundation of AI Language Understanding

Learn how AI transforms human language into numerical representations. Explore tokenization methods, embedding vectors, semantic similarity, and cost implications for building efficient AI applications.

Beginner

Updated Aug 11

TokenizationEmbeddingsNLPVector SpacesSemantic Similarity

Architecture

Transformer Architecture: The Engine Behind Modern AI

Explore transformer architecture - the revolutionary neural network design powering ChatGPT, Claude, and all modern AI. Learn attention mechanisms, encoder-decoder patterns, and context windows.

Intermediate

Updated Aug 11

TransformersAttentionNeural NetworksDeep LearningModel Architecture

Learn AI from Foundation to Mastery

Filter Lessons

Vector Databases: Understanding Semantic Search and Embeddings

Context Engineering Fundamentals: AI Agent Architecture & Dynamic Systems

AI Agents: Autonomous Systems for Complex Task Automation

Model Context Protocol (MCP): The Universal AI Integration Standard

Pretraining & Fine-tuning: How AI Models Learn and Specialize

Prompt Engineering Fundamentals: Master AI Communication

Tokenization & Embeddings: The Foundation of AI Language Understanding

Transformer Architecture: The Engine Behind Modern AI

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