Program profile · official sources
Semantic Caching for AI Agents
DeepLearning.AI and Redis teach semantic caching that reuses responses to similar questions. Learners build a cache from scratch, implement it with Redis tools, measure hit rate, precision, recall and latency, and test threshold tuning, cross-encoders and LLM validation. They then integrate caching into an agent. Python, embeddings and basic LLM applications are expected. Performance depends on the application; the course is not a guaranteed cost-saving result.
Facts checked 15 Oct 2026
- Price
- Free
- (As shown in the United States on 15 October 2026, the provider support page allows free content access, excluding certificates and Accomplishments. Zero applies only to content access, not a credential-inclusive total. The course header marks its 1 graded assignment as Pro access. No complete third-party API, software or compute budget is established. The course page describes free access as limited to the platform beta; no end date is stated. No numeric Pro subscription price is established by this course page or the visible membership capture.)
- Provider link
See price and enroll at DeepLearning.AI (official site) ↗
Official site. No commission.
- Time
- 1h24m listed course duration
- Level
- Intermediate
- Credential
- DeepLearning.AI Accomplishment
The provider recommends sharing an Accomplishment screenshot, including on LinkedIn.
- Prerequisites
- Familiarity with Python, embeddings and basic LLM applications is expected. Basic caching experience is helpful but not required. The course header marks its 1 graded assignment as Pro access. Free content access does not establish access to every listed assessment or project.
- Format
- Online self-paced learning with video lessons and listed activities
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Sources ↗
- Price : https://info.deeplearning.ai/knowledge-base/draft-understanding-certificates-and-accomplishments-in-deeplearning.ai-courses
- Duration : https://www.deeplearning.ai/courses/semantic-caching-for-ai-agents
- Official program page : https://www.deeplearning.ai/courses/semantic-caching-for-ai-agents
- Cost terms : https://www.deeplearning.ai/membership
- Cost terms : https://info.deeplearning.ai/knowledge-base/how-do-refunds-work-for-the-deeplearning.ai-pro-membership-free-trial
This program is free. It is not plotted on the logarithmic price scale. See the sourced pricing details below.
See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- Introduction
- Overview of Semantic Caching
- Build Your First Semantic Cache
- Measuring Cache Effectiveness
- Enhancing Cache Effectiveness
- Fast AI Agent with Semantic Cache
- Conclusion
- Quiz
- OPTIONAL: Project
Prerequisites: Familiarity with Python, embeddings and basic LLM applications is expected. Basic caching experience is helpful but not required. The course header marks its 1 graded assignment as Pro access. Free content access does not establish access to every listed assessment or project.
What you actually do
- Introduction : 3m; Video; provider outline item · Source
- Overview of Semantic Caching : 9m; Video; provider outline item · Source
- Build Your First Semantic Cache : 10m; Video with Code Example; provider outline item · Source
- Measuring Cache Effectiveness : 13m; Video with Code Example; provider outline item · Source
- Enhancing Cache Effectiveness : 12m; Video with Code Example; provider outline item · Source
- Fast AI Agent with Semantic Cache : 16m; Video with Code Example; provider outline item · Source
- Conclusion : 1m; Video; provider outline item · Source
- Quiz : 9m; Graded; provider outline item · Source
- OPTIONAL: Project : 10m; Code Example; provider outline item · Source
What the credential is
- Credential type
- DeepLearning.AI Accomplishment · www.deeplearning.ai / semantic-caching-for-ai-agents
- Credential
- DeepLearning.AI Accomplishment · info.deeplearning.ai / draft-understanding-certificates-and-accomplishments-in-deeplearning.ai-courses
- Issuer
- DeepLearning.AI · info.deeplearning.ai / draft-understanding-certificates-and-accomplishments-in-deeplearning.ai-courses
- Sharing
- The provider recommends sharing an Accomplishment screenshot, including on LinkedIn. · info.deeplearning.ai / draft-understanding-certificates-and-accomplishments-in-deeplearning.ai-courses
- Exam requirement
- The outline lists 1 graded assignment. A separate comprehensive final examination and passing threshold are not stated. · www.deeplearning.ai / semantic-caching-for-ai-agents
- Credential scope
- As checked on 15 October 2026, Pro subscribers completing this short course receive an Accomplishment visible in their account. It is explicitly not an official certificate. Free users do not receive certificates or accomplishments. Passing thresholds, separate final-exam requirements, expiry, renewal and academic credit are not established. · info.deeplearning.ai / draft-understanding-certificates-and-accomplishments-in-deeplearning.ai-courses
Cost details
Membership and refund terms: As checked on 15 October 2026, direct Pro membership upgrades take effect immediately. After a downgrade, access to content and eligibility to earn certificates continue until the next billing cycle, and progress on started courses is saved for 180 days. This does not turn short-course Accomplishments into official certificates. The seven-day trial can be cancelled to avoid charges. After the trial, new payments, renewals and upgrades are non-refundable; early cancellation or downgrade receives no partial refund, with access until the next renewal. Incorrect charges or charges after a trial cancellation may qualify for a full refund after support review. Eligible refunds typically take 5–10 business days, depending on the bank. These are direct-platform terms, not Coursera terms. · Source · Source · Source · Source
Source differences retained
As checked on 15 October 2026, the official page gives differing information on the points below. Each reading is kept as found; none is reconciled.
- Language: As checked on 15 October 2026, the matching Course metadata states inLanguage="en" and availableLanguage=["en","jp","kr"]. English is retained; the additional literal codes do not establish teaching audio, subtitles or another language-option scope. · Source
- Duration: The visible course duration is 1h24m; same-course embedded courseWorkload PT1H differs. No numeric completion estimate is inferred. · Source
Who should skip it
- Free content access excludes certificates and Accomplishments; recognition requires Pro membership. The course header marks its 1 graded assignment as Pro access. · Official source · 2026-10-15
- Short-course Accomplishments are not official certificates. · Official source · 2026-10-15
Alternatives in the registry
Related by topic or level.
- AI Code Review : Check official price; 1h4m listed course duration; individual activity estimates are rounded (duration checked 15 October 2026).
- Fast & Efficient LLM Inference with vLLM : Check official price; 1h38m listed course duration; individual activity estimates are rounded (duration checked 15 October 2026).
- AI agent engineer : Check official price; 36 hours of content (provider-listed) (duration checked 3 October 2026).
Change log
- : Initial source review from the dated US capture. · Source
See price and enroll at DeepLearning.AI (official site) ↗
Official site. No commission.