Your Path to Agentic AI for Production

2026-03-04 · Source: What's AI by Louis-François Bouchard · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Advanced, quick

Summary

Louis Frano, CTO and co-founder of tossai, has launched a new course titled "Agentic AI Engineering" designed for Python developers seeking to build production-ready AI agents. The course focuses on practical application, teaching participants to construct a complete multi-agent system. This system includes a research agent capable of web and API exploration, information gathering, task decomposition, and structured note generation. Additionally, students will build a writing agent that transforms these notes into polished content across various formats. Key skills covered encompass memory management, planning loops, critique cycles, evaluation techniques, and tool utilization, all essential for developing reliable AI systems.

Key takeaway

For AI Engineers and Machine Learning Engineers looking to advance their practical skills, enrolling in the Agentic AI Engineering course offers a direct path to building complex, production-ready multi-agent systems. You will gain a professional certification and a tangible portfolio project, positioning you to meet the high industry demand for advanced AI workflow development.

Key insights

The course teaches practical AI agent development, focusing on building production-ready multi-agent systems.

Principles

• Reliable AI systems require memory, planning, and critique.
• Multi-agent systems can automate complex tasks.

Method

The course's method involves building a research agent for data gathering and a writing agent for content generation, integrating memory, planning, critique, and tool use.

In practice

• Build a web-exploring research agent.
• Develop a content-generating writing agent.

Topics

• Agentic AI
• Multi-agent Systems
• AI Agents
• Tool Use
• AI Workflows

Best for: AI Engineer, Machine Learning Engineer, Software Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by What's AI by Louis-François Bouchard.