As the infrastructure and cost barriers around enterprise AI fall away, software developers, engineers, architects and other builders are running through the gates, looking to use the newest technologies — agentic AI, large language models (LLMs) and model context protocol (MCP) — to innovate.
But once you get past that fence, what’s next? Experimentation takes you only so far — the real goal is to use that knowledge to build scalable AI solutions that deliver powerful business outcomes.
Can you make the strategic shift from tinkering…

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