Shifting Deep Learning to Agentic AI

📰 Dev.to · Jenil Sheth

Learn how to shift from deep learning to agentic AI and discover the missing pieces to create more autonomous systems

intermediate Published 24 Apr 2026
Action Steps
  1. Build a foundation in deep learning and LLMs
  2. Identify the missing components in current deep learning systems
  3. Configure an agentic AI framework to create more autonomous systems
  4. Test and evaluate the performance of agentic AI models
  5. Apply agentic AI to real-world problems and applications
Who Needs to Know This

AI engineers and researchers can benefit from this knowledge to create more advanced AI systems, while product managers can use it to inform their product strategy

Key Insight

💡 Agentic AI requires a shift from traditional deep learning approaches to create more autonomous and self-improving systems

Share This
🚀 Shift from deep learning to agentic AI and unlock more autonomous systems! #AI #AgenticAI

Key Takeaways

Learn how to shift from deep learning to agentic AI and discover the missing pieces to create more autonomous systems

Full Article

🧱 FOUNDATION — What You Already Have + What's Missing You know deep learning and LLM token...
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