A Great Place to Upskill

Company

Careers

Legal

Terms and Conditions Privacy policy Refund policy Contact us

Resources

Jobs Events Blogs

Get the latest updates from Product Space

Foundations to Advanced Systems: LLMs for Product Managers

Complete course on how to develop llms.

A comprehensive course for Product Managers, AI leaders, and builders who want to design, deploy, and scale Large Language Model (LLM) systems in production.

Curriculum

The Core Mechanism: Prediction, Not Understanding

Tokens, Context Windows, and Generation Controls

Training vs Inference: Where PM Decisions Actually Live

Structural Limitations of LLMs

Revision

Exercise Section

The Prompt Is Not the Product

Anatomy of a Production-Ready LLM Workflow

System Instructions vs User Instructions

Prompt Chaining vs Structured Pipelines

Failure Modes in Poorly Designed Systems

Revision

Exercise Section

Stateless vs Stateful Systems

Tool Use and Function Calling

Multi-Step Reasoning Systems

Agent Architectures

Defining Quality in LLM Outputs

Offline Evaluation Techniques

Online Evaluation & Experimentation

Monitoring & Observability

Hallucination & Misinformation Risks

Bias and Fairness in Language Models

Data Privacy & Security Considerations

Regulatory and Enterprise Compliance

Designing Guardrails and Constraints

Moving from Prompt Demo to Production System

Cost Architecture & Unit Economics

Performance Optimization

Post-Launch Iteration Framework

Designing AI-Native Products

Case Studies & Applied Architecture

AUTHOR

Akhil Yash Tiwari

Founder

Foundations to Advanced Systems: LLMs for Product Managers

Curriculum

Understanding How Large Language Models Actually Work

From Prompts to Structured System Design

Memory, Tooling, and Agentic Systems

Evaluation Frameworks for LLM Products

Risk, Safety & Responsible Deployment

Risk, Safety & Responsible Deployment

Designing AI-Native Products

AUTHOR

Frequently Asked Questions

Is this a beginner-friendly course?

Is this a prompt engineering course?

Do I need to know how to code?

Who is this course designed for?

What will I be able to do after completing this course?

Does this cover enterprise AI deployment?

How long does it take to complete?

Will this course stay relevant as models evolve?