Program profile · official sources
LLM Bootcamp
Educative's LLM Bootcamp focuses on decisions involved in designing, adapting, and evaluating language-model applications. Its ten visible roadmap sections cover application architectures, risks, transformers, vector databases, prompting, fine-tuning, LangChain, agentic workflows, retrieval-augmented generation, and evaluation. The page lists 84 lessons, 85 quizzes, six Cloud Labs, and sixteen hours. The visible labs are labeled Premium Plus, including activities involving Amazon Bedrock, SageMaker, and LangGraph; do not assume they are included in every plan. A shareable Certificate of Completion is displayed, but the saved page does not establish its exact completion threshold or expiry. Consider this course for its application-design and evaluation topics, while checking access and assessment details before making a purchase decision.
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
- Price
- Educative Standard — USD 278/year for course content, billed annually upfront. (USD 139 with the 50% OFF promotion, checked 4 Sep 2026; estimated end ~8 Sep 2026 (countdown-derived from the 4 Sep 2026 capture; not a provider-confirmed expiry date))(see provider page)
US price as shown on educative.io/unlimited on 2026-09-04; regional pricing may differ · Official pricing - Duration
- 16 hours listed
- Format
- Online course
- Credential
- Certificate of Completion
Sources ↗
Course and activity access
Standard includes course content. Official source Official source Official source
- Premium Plus required: the six Cloud Labs, each marked Premium Plus. Official source Official source Official source
What’s covered
- Large Language Models
- Transformers
- Prompt Engineering
- Fine-Tuning
- Retrieval Augmented Generation
- Vector Databases
- Model Evaluation
- Agentic Workflows
Is LLM Bootcamp only about prompt engineering?
No. Prompt engineering is one of ten visible roadmap sections. The others include application architectures, challenges and risks, transformers, vector databases, fine-tuning, LangChain, agentic workflows, retrieval-augmented generation, and LLM evaluation. The learning objectives also address token limits and model adaptation. We would compare that wider scope with your needs before enrolling; if you only want a brief introduction to writing prompts, much of this application's engineering context may be more than you need.
Are the six Cloud Labs included with every plan?
The course page lists six Cloud Labs, and each visible lab is labeled Premium Plus. Examples involve prompt-injection mitigation, fine-tuning, agent workflows, retrieval-augmented generation, and evaluation. That labeling is not evidence that every Educative subscription includes them. Check the exact plan and its lab access before purchasing. We would keep course access, lab entitlement, and any completion requirements separate rather than assume one general enrollment label answers all three questions.
What do the time estimate and certificate tell me?
The official page lists sixteen hours, 84 lessons, and 85 quizzes. It also displays a shareable Certificate of Completion and an instruction to finish more lessons to unlock it. Those details do not establish a fixed calendar schedule, an exact passing threshold, credential expiry, or a total completion price. Check the current eligibility and payment terms separately, and allow time for practice rather than interpreting sixteen hours as a guaranteed finish time.
What you actually do
- LLM Application Architectures — Roadmap section · Source
- Challenges and Risks — Roadmap section · Source
- Transformers and Attention — Roadmap section · Source
- Vector Databases — Roadmap section · Source
- Prompt Engineering — Roadmap section · Source
- Fine-Tuning — Roadmap section · Source
- Model Context with LangChain — Roadmap section · Source
- Agentic Workflows — Roadmap section · Source
- Retrieval Augmented Generation (RAG) — Roadmap section · Source
- LLM Evaluation — Roadmap section · Source
What the credential is
- Credential type
- Certificate of Completion · Source
- Credential
- Certificate of Completion · Source
- Sharing
- The course page says the certificate of completion can be shared. · Source
- Credential scope
- The page says to complete more lessons to unlock the certificate; a separate exam requirement is not established. · Source
Total cost to finish
Conditional regular-price estimate: If you purchase 1 annual billing period of Standard for course content, USD 278 × 1 = USD 278.
USD 278/year, billed annually upfront. Official pricing
Promotional note: USD 139 with the 50% OFF promotion, checked 4 Sep 2026; estimated end ~8 Sep 2026 (countdown-derived from the 4 Sep 2026 capture; not a provider-confirmed expiry date). Not used in this estimate.
US price as shown on educative.io/unlimited on 2026-09-04; regional pricing may differ
This is an access-payment scenario, not a guarantee of finishing within that time. Course hours do not determine billing periods. Activity-plan upgrades, taxes and future renewals are not included or assumed.
Alternatives in the registry
Related by topic or level.
- IBM Generative AI Engineering Professional Certificate — Coursera Plus Monthly — USD 59 / month regular; USD promotional terms; not available to residents of India. Outside the US, local currency and pricing are shown at checkout.; Estimated 6 months at 6 hours a week; self-paced.
- AI engineer — Check official price; 32 hours of content.
- NVIDIA-Certified Associate: Generative AI LLMs (NCA-GENL) — USD 125 (US price: USD 125 for one exam attempt; confirm booking charges. Optional preparation and additional attempts are not included.); 60 minutes.
Change log
- : Added captured subscription plan prices with the authorized USD interpretation, regional caveat and explicit conditional access-cost estimate. · Source
- : Initial recorded review of official program details. · Source
- : Separated regular and promotional subscription prices; set Standard as the minimum course-content plan and use its regular annual price for the access-cost scenario. Project and Cloud Lab upgrades remain separate. · Source