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 into architecting and deploying scalable AI systems using LLMOps, agentic workflows, and multi-agent coordination. 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 patterns for enterprise automation.
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 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 for software engineers and data scientists who want to transition into in-demand AI engineering roles.
Ready to start building production-ready AI systems? This 14-week program helps experienced developers move beyond prompting with AI and start engineering at scale. The curriculum is grounded in real systems and real-world use cases, providing the expertise needed for an industry-recognized credential, with structured prep for the global NVIDIA NCA-GENL certification.