

From Prototype to Production: Engineering Agentic AI Systems in 2026
The technological landscape has reached a new inflection point. The industry is moving rapidly from AI experimentation to the integration of robust, production-ready systems.
You already know how to maintain complex architectures. The next frontier is bridging the gap between an AI demo and a reliable enterprise product. This transition requires specialized expertise in the end-to-end lifecycle of LLM-powered systems.
Join Moringa for a live masterclass where we open the hood on the 2026 production stack. This 60-minute session explores how to transition your existing skills to architect and deploy scalable AI systems using LLMOps, agentic workflows, and structured multi-agent orchestration for specialized tasks. We will also outline the pathway provided by our 14-week Applied AI Engineering Program.
What You’ll Learn
The 2026 AI Engineering Stack: Why MCP, Vector Databases, and frameworks like LangChain are essential for senior developers.
Beyond the Chatbot: Implementing tool-integrated agents, reasoning loops, and multi-agent orchestration patterns to handle complex, multi-step engineering workflows.
Production & LLMOps: The reality of shipping. Learn to handle model drift, monitor token costs, and ensure compliance with Kenya’s Data Protection Act and GDPR.
The Global Certification Pathway: Aligning your portfolio with NVIDIA-Certified Associate (NCA-GENL) standards.
About Your Host: Moringa
Moringa is the premium partner for professionals looking to accelerate their careers in an increasingly AI-driven global economy. Our Applied AI Engineering program is designed specifically for software engineers and data scientists looking to advance into in-demand AI engineering roles.
The Program at a Glance
Target: Working Software Engineers and Data Scientists.
Duration: 14 weeks (Class starts June 2).
Certifications:
Moringa School AI Engineer Certificate: Validates practical, production-ready AI engineering skills.
NVIDIA-Certified Associate - Generative AI LLMs (NCA-GENL): Global credential validating foundational concepts for developing, integrating, and maintaining AI-driven applications using NVIDIA solutions.