AI Bites Courses

Multi-Agent Systems - A Complete Guide with Hands-On Using LangGraph

1 rating

Explore multi-agent systems fundamentals and build hierarchical agents with LangGraph through hands-on coding, covering limitations of single agents and collaboration structures.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Llama 4 Models - Overview, Architecture and Quick Test

Explore Meta AI's new Llama 4 family of models, featuring unique capabilities like long context windows, speed, and FP8 training. Get a first look at the architecture and see a quick test demonstration.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Meta MoCha - The First Movie Generation Model

Explore Meta MoCha, a groundbreaking movie generation model that combines speech and text inputs to create high-quality videos with talking characters, multi-character conversations, and advanced techniques like flow matching and speech video window atte…

• YouTube
• 12 minutes
• Self-Paced
• Free Video

Agent2Agent from Google - A Complete Guide and Quick Demo of A2A Protocol

Explore Google's Agent2Agent protocol for seamless, secure communication between agents built in any framework. Learn its design principles, differences from MCP, and see a practical demonstration of A2A in action.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

Getting Started with Agent Development Kit from Google - ADK Hands-on

Dive into Google's Agent Development Kit (ADK) with a hands-on tutorial covering setup, implementation, agent definition, execution options, and debugging techniques for building AI agents with Google Cloud and third-party integrations.

• YouTube
• 17 minutes
• Self-Paced
• Free Video

LangGraph Crash Course - End-to-end ReAct Agent using LangGraph

Dive into LangGraph with a hands-on crash course, building simple graphs and a ReAct Agent. Understand why LangGraph exists alongside LangChain and explore practical implementations in this concise tutorial.

• YouTube
• 17 minutes
• Self-Paced
• Free Video

Langgraph Crash Course - Chatbot + Tool Use - Part 2

Dive into building a simple chatbot with Langgraph and enhance it with tool calling capabilities in this 15-minute tutorial that demonstrates practical implementation and usage.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

UV - A Complete Walk-Through in 12 Minutes - Replacement for pip, conda, poetry, etc

Discover UV, a fast Rust-based package manager for Python that enhances AI/ML development workflows. Learn installation, Python versioning, script management, and project management in this efficient 12-minute walkthrough.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

Vectorize - The No Code RAG Pipeline Platform

Explore Vectorize, a no-code platform for building RAG pipelines, and learn how to solve real-world problems by creating a custom pipeline without technical skills.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Building a Local Voice Assistant Like Alexa Using LLMs and Python

Learn to build a voice-controlled AI assistant using Python, Streamlit, LangChain, and Ollama in under 100 lines of code. Create your own local version of Alexa through hands-on coding.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

Agentic RAG with NVIDIA NeMo Retriever

Explore Agentic RAG implementation using NVIDIA's top-performing NeMo Retriever, covering theory and hands-on pipeline development with LangGraph integration.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Open Deep Research - Free Local Agent Installation and Walkthrough

Discover LangChain's open-source deep research agent that runs locally using LangSmith, with complete installation and setup walkthrough for autonomous research capabilities.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Google Gemini CLI - A Crash Course

Master Google Gemini CLI from installation to hands-on usage, exploring commands, configurations, and terminal-based AI interactions in this practical tutorial.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Gemini 2.0 Multi-modal Capabilities Review - Part 1

Explore Gemini 2.0's multi-modal capabilities through real-world demonstrations and comparisons with leading AI models like Claude 3.5 and GPT-4, evaluating its strengths and limitations.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

Testing Claude and MCP for Full-Stack Development Tasks

Explore how to enhance Claude's code generation capabilities using Model Context Protocol (MCP) and test its potential to automate full-stack development workflows.

• YouTube
• 12 minutes
• Self-Paced
• Free Video