FreeCourse Logo
FreeCourse.io
Verified CouponsFree CoursesJobsBlog
Categories
Home/Courses/Cloud-native Microservices with Quarkus
Cloud-native Microservices with Quarkus
IT & Software100% OFF

Cloud-native Microservices with Quarkus

Ansgar Schulte
4.3(9.1K students)
Self-paced
Intermediate

About this course

You need to write fast scalable microservices in Java and further want to use your previous knowledge of quality-proven technologies? I'm glad you found your way here. You'll learn exactly this in this course.

Quarkus is a framework for developing microservices with Java. It relies on proven tools, technologies and specifications such as Eclipse MicroProfile, Eclipse Vert. x and SmallRye.

Microservices developed with Quarkus are designed to be operated in a cloud-native environment. The entire development process and the philosophies behind Quarkus support this orientation and ensure maximum productivity and efficiency right from the start. This course is about the development of two microservices using an end-to-end example.

We will do a lot of programming, and you should not just consume this course, but actively participate. Chapter by chapter, I'll develop the demo application further in small steps, each one covering a single topic. I'll guide you throughout the entire course and provide the source code in a public GitHub repository after each lesson.

In doing so, we will automatically pass by typical topics for Microservices. These are, for exampleProviding and accessing REST APIsAccessing relational databasesWorking with NoSQL databasesConfiguration managementSecurityCreation of native images with Graal-VMUsing the Quarkus CLIFault ToleranceApplication data cachingConnecting to message-brokers and event-buses... I'm constantly developing this course and adding new lessons, especially in response to participant feedback.

Do you want to learn more? Then I look forward to welcoming you to my course.

Skills you'll gain

Other IT & Softwareen

Available Coupons

Loading...

Course Information

Level: Intermediate

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: Ansgar Schulte

Expert course creator

This course includes:

  • 📹Video lectures
  • đź“„Downloadable resources
  • 📱Mobile & desktop access
  • 🎓Certificate of completion
  • ♾️Lifetime access
$0$88.99

Save $88.99 today!

Enroll Now - Free

Redirects to Udemy • Limited free enrollments

Share this course

https://freecourse.io/courses/quarkus-by-example

You May Also Like

Explore more courses similar to this one

GCP Associate Cloud Engineer (ACE) Practice Tests
IT & Software
0% OFF

GCP Associate Cloud Engineer (ACE) Practice Tests

Santosh Harge

Welcome to the complete preparation toolkit for the Google Cloud Associate Cloud Engineer (ACE) Certification Exam! Designed for cloud engineers, DevOps practitioners, system administrators, and IT professionals, these practice tests are crafted to mirror the exact structure, domain weights, and technical depth of the official GCP ACE exam.Unlike basic conceptual tests, the Associate Cloud Engineer exam emphasizes practical, scenario-based problem-solving and command-line execution (gcloud, gsutil, kubectl). These practice exams evaluate your ability to deploy applications, monitor operations, and manage enterprise cloud solutions effectively.What You Get in This Course:Full-Length Mock Exams: Simulated test environments structured to match the actual exam format, timing, and question style.In-Depth Explanations: Clear breakdowns for every question—explaining why correct options are right and why incorrect options are wrong.CLI & Hands-on Scenarios: Detailed coverage of gcloud commands, IAM policy bindings, GKE deployment syntax, and VPC networking configurations.Complete Domain Coverage:Setting up a cloud solution environmentPlanning and configuring a cloud solutionDeploying and implementing a cloud solutionEnsuring successful operation of a cloud solutionConfiguring access and securityWhether you are aiming to advance your career in cloud engineering or validate your hands-on GCP knowledge, these practice tests will help you pinpoint weak areas, sharpen your exam speed, and pass with confidence. Enroll today and get certified!

3.0•1•Self-paced
FREE$88.99
Enroll
Kubernetes for AI/ML Practice Tests: GPU & Kubeflow
IT & Software
0% OFF

Kubernetes for AI/ML Practice Tests: GPU & Kubeflow

Santosh Harge

Are you ready to build, scale, and operationalize enterprise AI infrastructure using Kubernetes, GPUs, and Kubeflow?This targeted practice test suite is engineered to evaluate your hands-on capacity to orchestrate machine learning workloads on Kubernetes. Designed for MLOps engineers, platform architects, and DevOps specialists, these scenario-based mock tests test your technical depth across GPU cluster provisioning, batch workload scheduling, Kubeflow pipelines, hyperparameter tuning, and high-performance model serving.What you will get in this course:• Full-length practice exams covering real-world cloud-native AI infrastructure deployment patterns.• Detailed explanations for every question, providing technical rationale for correct configurations and distractor analysis.• Scenario-based evaluation of the NVIDIA GPU Operator, Multi-Instance GPU (MIG) slicing, Node Feature Discovery (NFD), and CUDA runtime allocation.• In-depth coverage of the Kubeflow ecosystem (Pipelines, Katib, Notebooks), KServe/Seldon inference serving, Triton integration, and custom batch schedulers (Volcano and Kueue).Why take these practice tests?Scaling LLMs, deep learning models, and GenAI pipelines on Kubernetes requires making complex trade-offs between GPU utilization, pod scheduling priority, storage throughput, and autoscaling latency. Practicing under timed test conditions refines your architecture decision-making and ensures complete job-readiness for MLOps and Cloud-Native AI engineering roles.Enroll today to test your skills, bridge your operational knowledge gaps, and master AI infrastructure on Kubernetes!

0.0•0•Self-paced
FREE$95.99
Enroll
Jev Fundamentals: Decision AI for Beginners
IT & Software
0% OFF

Jev Fundamentals: Decision AI for Beginners

Udemy Instructor

This course contains the use of artificial intelligence.What if your AI application could do more than generate answers? What if it could decide which model should handle a task, whether a tool call is safe, and when a human needs to step in?Welcome to Jev Fundamentals: Decision AI for Beginners, a hands-on introduction to Decision AI, AI agents, and intelligent automation. You'll explore how Jev by TypeSafe supports structured decisions inside real-world software, and learn to combine those decisions with clear business rules, confidence thresholds, and human oversight.Rather than watching disconnected demos, you'll build an evolving case study called BrightDesk DecisionOps. Starting with a simple customer-support classifier, you'll progress toward an AI decision engine that can route requests, evaluate risk, check evidence, and support safer agent workflows.What You'll Build and LearnYou'll begin with Python, the Jev API, and core decision concepts such as classification, scoring, and probability-based decisions. Then you'll learn how to design useful decision questions, interpret model outputs, set confidence thresholds, and handle uncertain results without treating every prediction as fact.Next, you'll explore LLM routing and AI model selection. Build workflows that choose between smaller and larger large language models (LLMs) based on task type, cost, and complexity. Integrate decision logic into LangChain and LangGraph, using structured application state, conditional branches, and human-in-the-loop approvals.You'll also tackle a critical challenge in agentic AI: deciding when an agent should be allowed to act. Build tool-call gating and AI guardrails that flag risky actions while enforcing permissions through deterministic code. Investigate prompt injection detection, AI safety, hallucination detection, citation verification, and retrieval-augmented generation (RAG) evidence checks.How do you know whether a decision model is actually improving your system? You'll create an AI benchmarking workflow that compares Jev with LLM classifiers and rule-based baselines, measuring accuracy, precision, recall, F1 score, latency, and inference cost. You'll learn why evaluation datasets, false positives, and confidence calibration matter more than flashy performance claims.Finally, we'll cover production AI engineering: model version pinning, API integration, fallback strategies, observability, audit logging, enterprise data security, privacy, and AI governance. Your capstone brings these skills together in a practical, reviewable Decision AI application.Who Should Take This Course?This course is designed for beginners, Python developers, AI engineers, software architects, automation builders, and professionals exploring generative AI or enterprise agent systems. Basic Python familiarity helps; prior Jev experience isn't required.Most examples use approachable code and synthetic business data. Optional local models can support comparisons, while live Jev exercises require access to TypeSafe's service. Because frameworks evolve, you'll also learn patterns that remain useful when SDKs and APIs change.You will leave with reusable project ideas for customer support automation, enterprise copilots, document review, and intelligent workflow orchestration. Whether you want to improve existing AI agents or prototype new applications, this course gives you a foundation.By the end, you won't just know the terminology. You'll have hands-on experience building AI systems that can route intelligently, verify evidence, measure performance, and escalate uncertainty—instead of blindly trusting every model response.

0.0•0•Self-paced
FREE$95.99
Enroll
FreeCourse LogoFreeCourse

Freecourse.io brings you high-quality online courses with free certificates to help you upskill, boost your career, and achieve your goals anytime, anywhere.

Resources

  • Courses
  • Jobs
  • Categories
  • Features

Company

  • About
  • Blog
  • Contact

Legal

  • Privacy
  • Terms
  • Cookies
  • Licenses

© 2026 FreeCourse. All rights reserved.