Agent-Based Systems Courses and Certifications

Anyscale

Building Cursor Composer - Agent-Based LLM for AI-Powered Development

Discover how Cursor Composer revolutionizes coding with agent-based LLM technology, combining intelligent code generation with unmatched speed for efficient development workflows.

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

Data Centric

High-Stakes AI Writing Done Right - Agent Self Verifies as it Writes

Discover how to build AI agents that verify facts while writing, preventing hallucination cascades and ensuring accurate high-stakes content generation through inline verification.

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

RSA Conference

Cybersecurity Isn't Ready for Agent Based Systems

Explore how conversational AI will replace GUIs by 2030, creating security challenges as agent-based systems gain agency—a vulnerability threat actors traditionally exploit in humans.

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

Foundations of Agent-Based AI Systems

Design AI agents from business goals: decompose systems with UML and workflow diagrams, encode states, select actions, and benchmark baseline models through agile iteration.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Career Certificate

Microsoft AI & ML Engineering

406 ratings at Coursera

Design scalable AI and ML infrastructure, apply core algorithms, build intelligent troubleshooting agents with NLP, and run end-to-end machine learning workflows on Microsoft Azure.

• Coursera
• 24 weeks, 7 hours a week
• Self-Paced
• Paid Course
• 5 courses

Wolfram

Equivalent Recursive Systems for General Agent-Based Models

Discover how to formulate generalized agent-based models as nested recursive functions in this technical exploration of computational modeling approaches.

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

AI Engineer

Agent Reinforcement Fine Tuning

Dive into OpenAI's reinforcement fine-tuning techniques for enhancing code model performance and agent capabilities in this technical deep dive.

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

Python Simplified

Easiest Reinforcement Learning Explanation You'll Ever See

Discover how AI agents learn through trial and error in simulations, exploring maze navigation, rewards, penalties, and Deep Q-Learning with beginner-friendly Python examples.

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

Sam Witteveen

CrewAI August Update: Planning Steps, Training, and Advanced Features - Explained

Explore CrewAI's latest updates: enhanced planning, agent training, and advanced features for improved AI performance. Practical demo and code examples included.

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

Sam Witteveen

Agent-S: Understanding GUI Agents and Their Components

Explore the mechanics of GUI agents through Agent-S, examining hierarchical planning, memory systems, and computer interfaces for enhanced agent interactions.

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

Structuring Cooperative Teams for Multi-Agent Reinforcement Learning

Explore advanced strategies for organizing cooperative teams in multi-agent reinforcement learning environments, focusing on structural optimization and team dynamics.

• YouTube
• 1 hour
• Self-Paced
• Free Video

AWS Events

Using Strands Agents to Build Autonomous, Self-Improving AI Agents

Discover how to build autonomous AI agents with Strands that continuously evolve, self-modify reasoning strategies, and improve decision-making without human intervention through real-world examples.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

AWS Events

Reimagining Incident Response with MCP on AWS

Discover how to build MCP-powered agents that correlate AWS service symptoms, suggest root causes, and automate remediation using EventBridge, Lambda, and Bedrock to reduce MTTR.

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

ACCU Conference

An Introduction to Reinforcement Learning - Snake Your Way Out of a Paper Bag

Discover reinforcement learning by implementing Snake in C++. Learn Q-learning fundamentals, explore AI beyond LLMs, and practice C++ while building an agent that learns to play games.

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

Shaw Talebi

Reinforcement Learning - A Practical Introduction

Discover reinforcement learning fundamentals through practical examples, Q-learning, and REINFORCE algorithms to build foundation for advanced RL applications with LLMs.

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