Neural Networks for Mortals: How AI Actually Works

Hosted by Mahesh Yadav

Fri, May 15, 2026

4:00 PM UTC (45 minutes)

Virtual (Zoom)

Free to join

397 students

Invite your network

Go deeper with a course

Agentic AI Product Management Certification using Claude Code
Mahesh Yadav
View syllabus

What you'll learn

Decode How Neural Networks Learn, Not Just What They Do

You'll learn how foundations (weights, layers, and activations) that power all AI models today.

Speak the Language Used in AI Research Rooms

Instead of phasing out in tech discussion you will be able to contribute and earn trust from tech. customers/leaders

Train your first neural network

Go hands on to train your first neural network to understand that its not actually very hard to do AI ( no code needed)

See the various application of neural networks

Understand limitation and challenges of using neural networks to set correct expectation of customers in AI.

Why this topic matters

Most PMs and developers talk about AI but can't decode a model announcement(opus 4.7). They see 'encoder-decoder architecture' or 'new optimizer' and nod along. Without NN's, you're pattern-matching on buzzwords. This session gives you the depth to read research, spot real innovation and continue learning online and from discussion with tech teams.

You'll learn from

Mahesh Yadav

Ex AI Product Lead -Google l Meta l Microsoft l AWS | 10k+ Alums l Founder - Agentic AI Institute

Mahesh Yadav brings 20+ years of experience building AI products at Google, Meta, AWS, Microsoft. He holds 12 patents in AI training, power management and computer vision. He has launched major agentic-AI initiatives (for example launching an agent for AWS Bedrock, featured in CEO keynote) and trained thousands of professionals to succeed in AI roles. With this programme you get rare access to CEO-level of mentorship.
Substack AI PM Newsletter l Linkedin Community of AI PMs l YouTube For Free Sessions Recordings
Currently, he is building back-office AI agents for the enterprise, starting with in-house legal teams through LegalGraph.AI. His work bridges education and real-world AI deployment, helping organizations adopt agentic systems that automate complex knowledge work.

Previously at

Google
Microsoft
Meta
Amazon Web Services
See all products from Mahesh

Sign up to join this lesson

By continuing, you agree to Maven's Terms and Privacy Policy.