Prompt Engineering, RAG or Fine-Tuning? Decision Playbook
Course Overview
What You'll Learn
- Decision-first, not tool-first — every section ends by routing a real use case, not by finishing a tutorial
- Enterprise constraints are first-class — cost, latency, privacy, data residency, model risk, and monitoring get real coverage, not an afterthought
- One model company runs the whole course — you follow a single specialty insurer through three real use cases and watch one architecture evolve, rather than nine disconnected demos
About This Free Course
This course contains the use of ai agents for everyone and artificial intelligence bootcamp.
Most enterprise LLM projects stall on the same question: do we prompt, retrieve, or fine-tune? Pick wrong and you spend six months and a large budget solving a problem the cheapest lever would have solved in three weeks.
This is not a twenty-hour AI-engineering bootcamp. It is a decision playbook. The deliverable is judgment — the ability to look at a use case and defend a customization decision in front of an architecture review board, a CISO, and a CFO.
What makes this course different
Decision-first, not tool-first — every section ends by routing a real use case, not by finishing a tutorial
Enterprise constraints are first-class — cost, latency, privacy, data residency, model risk, and monitoring get real coverage, not an afterthought
One model company runs the whole course — you follow a single specialty insurer through three real use cases and watch one architecture evolve, rather than nine disconnected demos
Every section ships a reusable artefact — a decision matrix, an ADR template, a dataset-readiness checklist, a RAG evaluation workbook, a cost calculator, a threat-model template, and a production-readiness checklist
What you will actually do
Route use cases through a documented seven-question decision tree
Write and version a structured prompt with a frozen evaluation set
Specify a production retrieval pipeline and measure its retrieval half separately from its generation half
Run a lightweight LoRA fine-tune in Colab and audit a dataset for readiness
Model cost per thousand requests and find the volume where the ordering flips
Threat-model an LLM feature and complete a production-readiness review
Write an Architecture Decision Record recommending one approach, with rejected alternatives and their rationale
You need to know what an LLM is and how an API call works. You do not need a maths background, an ML background, or any fine-tuning experience.
Who Should Take This Course
"Prompt Engineering, RAG or Fine-Tuning? Decision Playbook" is aimed at people who want a practical, structured introduction to prompt without paying full price for it. It's a solid fit if you're starting out in prompt and want a guided course rather than piecing tutorials together yourself, if you've tried free YouTube content on the topic and want something more organized, or if you already work in a related area and want a refresher you can finish at your own pace. Since enrollment happens on Udemy itself, you keep full access to view the lectures, download any provided resources, and revisit the material later — this isn't a stripped-down or time-limited version of the course.
Why This Course Is Worth Taking
Our take: this listing earns a spot on FreeWebCart because the coupon we verified actually brings the price to $0, not just a token discount, and the course carries a strong rating on Udemy. That combination — real reviews plus a working 100% OFF code — is what we look for before publishing a prompt course. It won't replace hands-on experience or a full degree program, but as a low-risk way to test whether prompt is worth pursuing further, or to pick up one specific skill, the free price tag makes it an easy yes while the coupon lasts.
Pros & Cons
👍 Pros
- 100% free to enroll via this coupon
- Lifetime access on Udemy once enrolled, even after the coupon expires
- Self-paced — no fixed schedule or live sessions to attend
👎 Cons
- Coupon is time-limited and can expire before you enroll
- No live instructor support — questions go through Udemy's Q&A, not us
- Certificate is a Udemy completion certificate, not an accredited qualification
Frequently Asked Questions
Is "Prompt Engineering, RAG or Fine-Tuning? Decision Playbook" really free?
Yes — we verified a 100% OFF Udemy coupon for this prompt course before publishing it. Enroll directly on Udemy using the button below; no credit card is needed while the coupon is active.
How long will this coupon last?
Udemy coupons typically last 1–3 days or expire after roughly 1,000 enrollments, whichever comes first. If the price on Udemy no longer shows $0 when you click through, the coupon has expired since we last checked it.
Do I keep access after the coupon expires?
Yes. Once you enroll while the coupon is live, "Prompt Engineering, RAG or Fine-Tuning? Decision Playbook" is yours to keep on Udemy — including any future updates the instructor makes — even after the coupon runs out.
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