Practical AI Agent Workflows
Learn to craft LLMs in workflows and create single and multi agent tools. Understand the components of workflows versus agents, and their most effective use cases for development and product tasks. Understand the components of these tools and learn the most important patterns for each type of agent workflow, so you are able to create the most effective tools for your tasks.
Learn from the GitHub Copilot Team
Manage Agents, Automate Tasks, and Create Robust Pipelines
Learn to craft LLMs in workflows and create single and multi agent tools. Understand the components of workflows versus agents, and their most effective use cases for development and product tasks. Understand the components of these tools and learn the most important patterns for each type of agent workflow, so you are able to create the most effective tools for your tasks.
What You Will Master
- Review AI foundations like context, RAG, evals, and MCP
- Design single and multi=threaded workflows
- Score workflows based on context management, reliability, and cost
- Understand strategies for agent and non-agent systems around routing, parallelization, orchestrators, supervisors.
Prerequisites
- Basic JavaScript development knowledge
- Familiarity with common development concepts (APIs, functions, basic architecture)
Who is this for?
Developers new to AI tools or those frustrated with inconsistent results from their current AI interactions. Perfect for those who want to learn systematic approaches to AI-assisted developments and future-proof their workflows.
Replay coming soon.
AI That Fits Your Workflow
Learn to craft LLMs in workflows and create single and multi agent tools. Understand the components of workflows versus agents, and their most effective use cases for development and product tasks. Understand the components of these tools and learn the most important patterns for each type of agent workflow, so you are able to create the most effective tools for your tasks.
Warning: High intensity learning environment.
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