Spring Boot Full-Stack Microservices Project Based Course | AI-Powered Fitness Project - 05 Gemini API, & Config Server | Full-Stack AI-Powered Fitness Project Microservices Course

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39 learners

What you'll learn

This course includes

33.3 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

spring boot microservices spring boot microservices spring boot tutorial for beginners spring boot full course spring boot kubernetes microservices microservices spring boot microservices architecture spring boot spring boot microservices project openfeign spring boot openfeign spring boot example monolithic to microservices

Full Transcript

🔥 Check out the 52 HOUR Spring Boot E-Commerce Microservices Course here 👉 https://link.embarkx.com/microservices SPRING BOOT MASTERY COURSE BY BUILDING FULL STACK ECOMMERCE APP [REACT BEGINNER TO ADVANCED COVERED]: https://link.embarkx.com/spring-boot SPRING BOOT MASTERY ROADMAP: https://www.youtube.com/watch?v=m3FVXfr1Nr4 *THE ULTIMATE JAVA AND SPRING BOOT MASTERY* 1. SPRING BOOT FULL STACK BY BUILDING COMPLEX ECOMMERCE PROJECT STEP BY STEP [85+ HOURS OF CONTENT]: https://link.embarkx.com/spring-boot 2. MASTER SPRING BOOT ECOMMERCE MICROSERVICES [52+ HOURS] : https://link.embarkx.com/microservices 3. MASTER SPRING SECURITY WITH REACT JS+OAUTH2[34+ HOURS]: https://link.embarkx.com/spring-security 4. LEARN JAVA WITH 60+ HOURS OF CONTENT: http://link.embarkx.com/java 5. MASTER INTELLIJ IDEA: http://link.embarkx.com/intellij 📺 Watch the FREE AI-Powered Full-Stack Microservices Course playlist here 👉 https://www.youtube.com/watch?v=PcwTjDzkK_E&list=PLxhSr_SLdXGPwiZOfI2ZLX4Yvm8OMaJ2A Master AI-driven recommendations, Gemini API integration, and centralized configuration in a scalable microservices architecture. This video walks through key implementations, including configuring API Gateway and Config Server for better manageability. ⏰ Timestamps: ⏳ 0:00 - 🎬 Introduction – Overview of AI-driven microservices and what we’ll cover ⏳ 3:26 - 🤖 Understanding Gemini API & Prompting – How AI prompts work and integrating Gemini API ⏳ 13:50 - 🔍 Generating AI-Driven Recommendations – Implementing smart recommendations using AI models ⏳ 34:53 - ⚙️ Processing AI Recommendations – Structuring and refining AI-generated insights ⏳ 1:10:42 - 🛠️ Centralizing Configurations with Config Server – Moving configurations for better scalability ⏳ 1:19:25 - 🔗 Pointing Microservices to Config Server – Ensuring dynamic configuration management ⏳ 1:24:17 - 🌍 Setting Up an API Gateway – Managing requests and securing microservices