Want to build an agentic development setup thatโs faster, cheaper, and local-first? โก
Today,
@AndrewYNg and
@jetbrains'
@paulweveritt released a new course exploring modern AI agent engineering with PyCharm and open-weight models.
You'll learn how to:
๐ง Build specialized subagents
โก Use the "big brain, little brain" approach with cheaper models
๐ Measure cost, latency, and quality as your architecture evolves
๐ Configure OpenCode + OpenRouter with models like DeepSeek V4 Pro
๐ป Transition from cloud inference to fully local AI using LM Studio and Gemma 4 12B
Rather than focusing on one framework, the course teaches engineering principles you can apply as the AI landscape continues to evolve.
If you're interested in hybrid or local AI workflows, this is a great place to start.
Learn more:
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PyCharm# #
AI# #
LLMs# #
OpenSourceAI# #
DeepLearningAI# #
AndrewNg# #
Python#