AI Application Design & Economics

AI Application Design & Economics – Sam Ghosh
Updated July 2026 – This free Udemy course teaches product leaders how to design AI‑driven products that stay profitable at scale. You’ll learn to evaluate large‑language‑model (LLM) choices, calculate token costs, and build economically sustainable AI architectures. The curriculum blends business strategy with technical insight, delivering a decision‑oriented framework without requiring any coding experience.

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What You'll Learn

• Build AI product roadmaps that balance model capability, latency, and cost.
• Master token economics to predict how usage spikes affect your budget.
• Learn to select the right LLM based on performance, size, and pricing.
• Understand inference infrastructure choices and their impact on scalability.
• Create context‑engineering strategies that reduce unnecessary computation.
• Implement Retrieval‑Augmented Generation (RAG) pipelines while controlling knowledge‑base expenses.
• Apply agentic workflow designs that improve functionality without exploding operational costs.
• Analyze lifecycle economics to plan for upgrades, migrations, and eventual decommissioning.

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Course Details

• Instructor: Sam Ghosh
• Rating: 4.5 stars
• Language: English (en‑US)
• Certificate: Yes, upon completion

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What This Course Covers

AI Application Architecture

• Model families, inference APIs, and prompting fundamentals.
• Orchestration layers that connect models, tools, and external data.
• Cost‑impact analysis of each architectural component.
• Real‑world scenario: designing a chatbot that respects budget constraints.

Model Selection & Capability Mapping

• Comparing model sizes, specialties, and pricing tiers.
• Matching model strengths to specific business use cases.
• Evaluating trade‑offs between accuracy, latency, and expense.
• Case study: choosing a model for document summarization under tight SLA.

Inference Economics & Resource Management

• Hardware vs. cloud inference cost models.
• Utilization strategies that maximize throughput while minimizing spend.
• Latency budgeting and its effect on user experience.
• Example calculation: estimating per‑request cost for a recommendation engine.

Token & Context Engineering

• How tokens serve as a consumable resource rather than a simple billing unit.
• Techniques for prompt compression and context pruning.
• Managing conversation history to avoid runaway token usage.
• Practical demo: redesigning a prompt to cut token consumption by 30 %.

Retrieval‑Augmented Generation & Knowledge Economics

• Building knowledge graphs and vector stores for scalable retrieval.
• Cost considerations for data ingestion, storage, and query latency.
• Balancing freshness of information with retrieval expense.
• Workflow illustration: integrating a product catalog into an LLM answer pipeline.

Lifecycle & Scale Economics

• Planning for growth: how user volume changes cost curves.
• Strategies for automated scaling, caching, and batch processing.
• Accounting for verification, regeneration, and human‑in‑the‑loop costs.
• Sustainability checklist: ensuring long‑term economic viability of AI features.

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Who Should Take This Course

• Product managers responsible for AI feature prioritization and budgeting.
• Founders and entrepreneurs building AI‑first SaaS products.
• Technology leaders who decide on model deployment and infrastructure.
• AI consultants advising enterprises on cost‑effective AI strategies.
• Business strategists needing a clear view of AI consumption and pricing models.

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Prerequisites

• No prior programming or machine‑learning experience required.
• Basic understanding of AI concepts such as large‑language‑models is helpful.
• Familiarity with product management terminology enhances learning speed.

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Why Enroll in This Course

This course delivers a rare blend of business acumen and technical insight, enabling decision‑makers to evaluate AI projects with confidence. A free coupon provides 100 % off for a limited time, making the training accessible to anyone interested in AI economics. Because the content is updated for 2026, you receive the latest cost models and industry best practices. Compared with generic AI tutorials, this program focuses exclusively on economic sustainability, a critical factor for real‑world deployments.

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Course Highlights

• Lifetime access to all video lessons and downloadable resources.
• Self‑paced learning that fits busy product and executive schedules.
• Certificate of completion to showcase expertise on LinkedIn or a résumé.
• Business‑focused framework that avoids deep coding requirements.
• Real‑world case studies illustrating cost‑impact decisions.
• Mobile‑friendly platform allowing study on phones or tablets.

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Frequently Asked Questions

Q: Is this course really free?
A: Yes. With the current free coupon, you can enroll at no cost for a limited period. The offer applies to the full course, including all lectures and downloadable assets.

Q: What will I learn in this AI Application Design course?
A: You will master token economics, model selection, inference cost analysis, and RAG design while gaining a strategic framework for evaluating AI product viability. Each module delivers actionable insights you can apply immediately to your own projects.

Q: Do I get a certificate after completing this course?
A: Absolutely. Udemy provides a shareable certificate of completion, which you can display on professional networks to validate your expertise in AI economics and design.

Q: Is this course suitable for beginners?
A: The curriculum is designed for non‑engineers, so no coding background is required. Beginners will benefit from clear explanations of concepts such as LLMs, prompting, and cost modeling.

Q: How long do I have to enroll for free?
A: The free coupon is available for a limited time, typically a few weeks. Enrolling before the coupon expires guarantees 100 % off the regular price, after which the standard Udemy fee applies.

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Final Thoughts

If you are a product leader, founder, or technology manager looking to build AI solutions that scale profitably, AI Application Design & Economics offers the precise tools you need. Enroll now, claim the free coupon, and start designing economically sustainable AI products today.