Build AI apps with Spring AI: prompts, memory, function calling, RAG, image, audio and streaming API with real use-cases
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Spring AI with Java: Build AI-Powered Applications (2026)
Save on Spring AI with Java: Build AI-Powered Applications (2026) with a verified Udemy coupon (checked March 2026). See current price, availability and course details.
by Infiproton Tech, Harish B N · ⭐ 4.7 via Udemy · 1,512 students · English
$12.99
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Price history First-party data
Tracked since March 26, 2026 to March 26, 2026. Red dot = current price ($12.99) — CoursesWyn records the price on each sync.
Current price
$12.99
Original price
$11.99
Tracked since
March 26, 2026
Last checked
Mar 26
Price and coupon status are recorded from a periodic sync of Udemy’s public catalog. This snapshot was taken on March 26, 2026. Prices are always confirmed at checkout on the provider’s site.
Deal score Computed, methodology below
6.4
/ 10
Discount depth
0%
Udemy rating
4.7 / 5
Popularity
1,512 students
Tracking length
147 days
Score = weighted average of discount depth, how often CoursesWyn re-checks this code, historical price volatility, and how fast past redemptions were claimed. Not an editorial opinion on the course itself.
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Mar 26, 2026Listed by CoursesWyn — price recorded at $12.99Listed
Mar 26, 2026Coupon checked — checkout price $12.99 · listed until Mar 31Working
Course details Synced from Udemy
Fields below are pulled from Udemy’s public catalog and recorded when CoursesWyn syncs — they are catalog data, not editorial description.
| Last checked | March 26, 2026 |
| Offer ends | Listed until March 31 |
| Provider | Udemy |
| Level | All Levels |
| Rating | 4.7 / 5 |
| Students | 1,512 |
| Content | 3 hours 30 minutes |
| Language | English |
| Requirements | Basic knowledge of Java programming · Familiarity with Spring Boot (controllers, services, configs). |
| Certificate | Yes, on completion |
| Access | Lifetime, mobile & TV |
Key Topics Covered From the course description
Build AI-powered apps using Spring AI with Java & Spring Boot.
Master prompt engineering with system, user, assistant messages and Prompt Templates
Work with memory & context to create multi-turn, human-like conversations.
Implement function calling & tools for real-world tasks like weather APIs, and Database integrations.
Apply RAG techniques to query PDFs and multiple documents with vector stores.
Work with images - captioning, image generation, and styling images.
Work with audio AI – handle speech-to-text, audio-based chat, and text-to-speech to build voice-enabled AI backends using Spring AI.
Experience text, audio, and real-time streaming chat UIs powered by Spring AI backend APIs.
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