BD Brain Drip

All Courses

1043 concepts across 14 courses — from machine learning foundations to cutting-edge AI research.

🧠
11 modules 156 concepts

LLM Concepts

From transformer architecture to cutting-edge research — each concept explained with intuition, math, and connections to the bigger picture.

🤖
10 modules 90 concepts

AI Agent Concepts

Foundations of autonomous AI agents — reasoning, planning, memory, tool use, multi-agent systems, and safety.

📋
10 modules 72 concepts

AI Agent Evaluation

Benchmarks, automated evaluation methods, trajectory analysis, and production monitoring for AI agents.

🏛
1 module 12 concepts

Agentic Design Patterns

Architecture selection, tool design, error resilience, multi-agent coordination, and production patterns for agentic systems.

👁
13 modules 120 concepts

Computer Vision Concepts

Image fundamentals through CNNs, object detection, segmentation, generative models, vision transformers, and 3D vision.

🔗
10 modules 49 concepts

LangGraph Agents

Build production AI agents with LangGraph — tools, memory, human-in-the-loop, streaming, multi-agent systems, and deployment.

📜
15 modules 105 concepts

LLM Evolution

The history and trajectory of large language models — from pre-transformer foundations through the 2025 frontier.

📐
12 modules 82 concepts

Machine Learning Foundations

Mathematical foundations, learning theory, supervised and unsupervised methods, neural networks, and production ML systems.

🔌
1 module 14 concepts

Building MCP Servers with Supabase

A hands-on guide to building Model Context Protocol servers with Supabase — from architecture to production deployment.

💬
12 modules 95 concepts

Natural Language Processing

Text preprocessing, representation, sequence models, NLP tasks, information extraction, and multilingual NLP.

9 modules 79 concepts

Prompt Engineering

Core prompting techniques, reasoning elicitation, system prompts, structured output, context engineering, and production safety.

🎮
8 modules 57 concepts

Reinforcement Learning

Foundations through deep RL, policy gradients, model-based methods, RL for language models, and landmark applications.

🛠
10 modules 42 concepts

Building a Multi-Skill AI Agent

Hands-on guide to building an AI agent with multiple skills — architecture, tool design, orchestration, error handling, and a capstone research agent project.

🎼
8 modules 70 concepts

Agent Harnesses & Orchestration

The harness layer above LLMs — Claude Agent SDK, Codex CLI, Cursor, ruflo, LangGraph, AutoGen, CrewAI, and OpenAI Agents SDK compared concept-by-concept. Topologies, consensus, federation, planning, and the orchestration plumbing that turns models into systems.