AI & LLM Cost Optimization for Leaders
Executive Program on Controlling AI Spend
This course teaches founders, product leaders, and executives how to understand, control, and optimize LLM costs without writing code. Learn how AI costs behave in production and how to make cost-aware product decisions.
4 Hours
Duration
500+
Leaders Trained
4.9/5.0
Rating
Executive
Certificate
Course Overview
What You'll Master
Prerequisites
- No coding required
- No ML background required
- Experience making product or business decisions
Career / Business Outcomes
What's Included:
Decision-Maker Course Curriculum
Module 1: Understanding LLM Costs
- • What You Pay For (Explained Simply)
- • Tokens, Requests, and Hidden Multipliers
- • Why Usage Metrics Lie
Module 2: Where AI Costs Leak
- • Prompt Bloat as a Business Risk
- • Output Verbosity and UX Choices
- • Context Growth Over Time
Module 3: Product Decisions That Affect Cost
- • Cheap vs Expensive AI Features
- • When Not to Use AI
- • Designing Cost-Aware UX
Module 4: Model Strategy & Vendor Choices
- • Premium vs Standard Models
- • Open-Source vs Hosted Trade-offs
- • Avoiding 'Latest Model' Traps
Module 5: Memory, Retrieval & Knowledge Systems
- • When to Store Context
- • Why RAG Reduces Cost
- • Avoiding Memory Explosion
Module 6: Architecture From a Cost Lens
- • Why Repeated Calls Are Dangerous
- • Why Retries Multiply Spend
- • Caching as a Business Decision
Module 7: Governance & Cost Control
- • Budgets, Quotas, Dashboards
- • Monitoring AI Spend
- • Cost Alerts & Reviews
Module 8: Leading Cost-Aware AI Teams
- • What to Ask in Reviews
- • How to Approve AI Proposals
- • Building a Cost-First Culture
Final Capstone (Decision-Maker Style)
- • Review a fictional company’s AI system
- • Identify cost risks
- • Propose governance & product changes
- • Defend decisions as a leader
Gautam Singh
GenAI Developer, Thinkverse Lab Pvt. Ltd
Gautam Singh is a GenAI Developer at Thinkverse Lab Pvt. Ltd. with over 2 years of experience in building and deploying generative AI solutions. He specializes in LLM orchestration, prompt engineering, and integrating AI into production environments. At Thinkverse Lab, he has been instrumental in developing scalable AI frameworks and optimizing model performance for business applications.
Expertise:
Achievements:
- • 2+ years of experience in GenAI solutions
- • Developed scalable AI frameworks at Thinkverse
Mahesh Chand
Founder, C# Corner
Mahesh Chand is an architect based in Philadelphia, Pennsylvania. He is the Microsoft Regional Director, founder of C# Corner, and CEO of Mindcracker Inc. At Mindcracker Inc., he advises technical teams on building better software through architecture, design, usability, innovation, and mentoring. His expertise includes C#/.NET, UWP, Mixed-Reality, AI/ML, Cloud, Startups, and Innovation. As the founder of C# Corner, he enjoys developing new features to help developers improve their coding skills. He loves philosophy, cognitive studies, community work, public speaking, writing, basketball, and the Philadelphia Eagles.
Expertise:
Leadership:
- • Microsoft Regional Director
- • CEO of Mindcracker Inc.
- • Founder of C# Corner