Cursussen
18839 Cursussen
Agent Evals - Finally, With The Map
Discover a systematic framework for AI agent evaluation beyond ad hoc metrics, building comprehensive quality assurance for reliable, effective, and safe agents.
Voice Agents - The Good, the Bad, and the Ugly
Discover the real challenges of building production-ready AI voice agents, from handling hallucinations to designing proper evaluation metrics and human handoffs.
Stop Guessing - Build Robust AI with Layered Chain-of-Thought
Discover how Layered Chain-of-Thought prompting and Multi-Agent Systems create transparent, self-correcting AI that verifies each reasoning step against knowledge bases for robust decision-making.
Your Evals Are Meaningless - And Here's How to Fix Them
Discover why most AI evaluation methods fail in practice and learn proven strategies to build meaningful evaluation systems that actually predict real-world AI agent performance.
Building Multi-Agent Systems with Finite State Machines
Discover how to build robust AI agents using state machines and the Actor model alongside LLMs for reliable, observable multi-agent systems with clear state management.
Let's Build an Agent from Scratch
Discover how to build AI agents from the ground up by implementing planning, memory, and tool calling in a simple while loop to demystify agent architecture.
Building Enterprise LLM Agents That Work
Discover how to build scalable, fault-tolerant LLM agents for enterprise environments with the right frameworks, tools, and safety measures including human-in-the-loop systems.
Where AI is Superhuman - The Right Jobs to Automate with LLMs
Discover which jobs LLMs excel at and will disrupt entirely, plus strategic insights for founders and executives on where to invest in AI automation.
Claude Plays Minecraft - Building Autonomous AI Agents with AWS Serverless Technologies
Discover how AI transcends chatbots by building autonomous agents that reason, problem-solve, and act in Minecraft using AWS serverless tech and Claude 3 for real-world applications.
How to Build AI Agents that Actually Work
Discover practical lessons from re-engineering a product for AI Agents from scratch, covering real-world challenges and solutions that led to a successful 2024 acquisition.
Giving a Voice to AI Agents - Fundamental Principles and Best Practices for Voice AI Development
Explore voice AI evolution from simple commands to sophisticated conversational agents using LLMs, speech recognition, and synthesis for human-like interactions.
Unveiling the Latest Gemma Model Advancements
Discover Gemma and Gemini model capabilities, learn to build LLM applications using Google Cloud's Vertex AI with practical model tuning and deployment examples.