In this video
What you'll learn
Optimize AI Models for the Edge
Peaking in how to shrink large language models for faster, more efficient performance on edge devices.
Master the Shift from LLMs to SLMs
Understand how the AI industry is transitioning to SLMs and why they are becoming essential in driving AI applications o
Implement SLMs in Real-World Applications
Discover practical techniques for deploying small language models (SLMs) directly on devices, without relying on the clo
Why this topic matters
SLMs represent the future of AI on edge devices, offering faster and more secure applications, which will be critical in scaling AI products for real-world use.
Big picture,
Mastering SLMs equips professionals with cutting-edge skills, allowing them to stay competitive and drive innovation in AI-driven industries like tech, healthcare, and legal.
You'll learn from
Mahesh Yadav
GenAI Product Lead at Google, Ex-Meta, Ex-Amazon & Ex-Microsoft l AI PM Mentor
Mahesh has 20 years of experience in building products at Meta, Microsoft and AWS AI teams. Mahesh has worked in all layers of the AI stack from AI chips to LLM and has a deep understanding of how GenAI companies ship value to customers. His work on AI has been featured in the Nvidia GTC conference, Microsoft Build, and Meta blogs.
His mentorship has helped various students in building Real time products & Career in GenAI PM.
Previously at
Go deeper with a course
Agentic AI Product Management Certification
Mahesh Yadav
20+ years exp., Ex-Google, Meta Research, AWS AI | 10k+ AI Alums
Keep exploring
