Performance Engineering Course with Java, JMeter, DevOps, Cloud & GenAI | End-to-End Training – Live Training
(Master Performance Engineering from Basics to Advanced – Java, Profiling, Monitoring, Cloud, DevOps & AI-Driven Optimization)
This Performance Engineering course is designed to transform you from a traditional tester into a complete Performance Engineer. The program covers everything from fundamentals to advanced real-world concepts, including Java internals, JVM tuning, memory management, code profiling, frontend performance, and database optimization.
You will gain hands-on experience with industry tools like J Profiler, Your Kit, Dynatrace, AppDynamics, Grafana, and JMeter, along with modern practices such as CI/CD integration, cloud monitoring (AWS & Azure), and chaos engineering.
The course also includes cutting-edge topics like GenAI in performance engineering, Python profiling, and ML pipeline optimization, making you industry-ready for modern performance challenges.
By the end of this course, you will be able to analyze bottlenecks, optimize system performance, design scalable architectures, and handle real-time production issues confidently.
Why Choose This Performance Engineering Course with Java, JMeter, DevOps, Cloud & GenAI | End-to-End Training Course?
- Complete End-to-End Performance Engineering Coverage
- Learn beyond JMeter – focus on engineering mindset
- Real-time tools: Dynatrace, AppDynamics, Grafana
- Strong focus on Java, JVM & Memory Tuning
- Hands-on with Profiling & Debugging tools
- Covers Cloud (AWS & Azure) + DevOps integration
- Includes GenAI & modern performance techniques
- Designed based on real industry expectations
- Helps you move from Tester → Performance Engineer
About The Instructor:
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Vicky is a seasoned Performance Engineering expert with 10+ years of industry experience, specializing in building high-performance, scalable, and reliable systems for enterprise applications. With deep expertise in Java profiling, JVM & GC tuning, memory and thread diagnostics, and database performance, he has successfully delivered performance solutions across multiple domains and large-scale platforms. Vicky is highly skilled in modern APM tools such as Dynatrace and AppDynamics, along with strong infrastructure monitoring experience across Linux and Windows environments. His knowledge of cloud performance (AWS & Azure), workload modelling, chaos testing, and CI/CD performance pipelines makes him a true full-stack performance engineer. In addition to his technical strengths, Vicky is passionate about emerging technologies. He integrates Python, ML-based optimization, and GenAI-powered automation to accelerate root-cause analysis, hotspot detection, and performance scripting. As a dedicated mentor, Vicky has trained and guided hundreds of engineers, helping them transition into performance-specialized roles. His teaching methodology blends real-world project scenarios, hands-on labs, and practical problem-solving, making complex performance engineering concepts easy to understand and apply. |
Sample Videos:
Performance Engineering with Java, Cloud Monitoring & GenAI– Demo Recording
Performance Engineering with Java, Cloud Monitoring & GenAI– Day1 Recording
Live Sessions Price:
For LIVE sessions – Offer price after discount is 300 USD 199 119 USD Or USD23000 INR 13000 INR 9900 Rupees.
OR
Free Demo On:
Indian Timings: 27th July @ 8 PM – 9 PM (IST)/
U.S Timings: 27th July @ 10:30 AM – 11:30 AM (EST)/
U.K Timings: 27th July @ 3:30 PM – 4:30 PM (BST)
Class Schedule:
For Participants in India: Monday to Friday @ 8 PM – 9 PM (IST)
For Participants in the US: Monday to Friday @ 10:30 AM – 11:30AM (EST)
For Participants in the UK: Monday to Friday @ 3:30 PM – 4:30 PM (BST)
What student’s have to say about Trainer :
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👨 Vicky’s training is truly outstanding! His sessions covered everything from Java profiling, JVM & GC tuning, memory diagnostics to cloud performance optimization. What I loved most was how he integrated Python and ML-based techniques for automation and hotspot detection. The hands-on labs, real-world examples, and patient guidance made complex performance engineering concepts very easy to understand. I now feel confident handling enterprise-level performance challenges independently. Highly recommended! – Rahul Mehra 👩 The course was indeed good. He had indepth knowledge which he shared so well. Great trainer, great course. Happy to have enrolled. – Christine Wambui Mwangi 👨 Excellent trainer! Vicky clarified all doubts patiently and made performance concepts easy to grasp. – David Johnson 👩 I really appreciated Vicky’s practical approach. His real-time examples and project scenarios helped me understand performance tuning and APM tools efficiently. – Fatima Ali 👨 Vicky Sir is a phenomenal mentor. The way he explained JVM memory management, thread diagnostics, and database performance was very detailed. He also demonstrated GenAI-powered automation for root-cause analysis, which was a game-changer. His sessions were interactive, structured, and full of real-world exercises. I feel much more confident now to tackle high-performance system issues at work. – Arjun Verma 👩 Very practical and clear training. Vicky makes even advanced topics simple to understand. – Emily Brown 👨 The training was well-paced and very hands-on. Vicky’s mentorship, along with real-world exercises, made learning performance engineering smooth and enjoyable. – Mohammed Yusuf 👩 Highly recommended! Vicky’s guidance and practical examples gave me confidence to work on real performance projects. – Jessica Smith |
What will I Learn by end of this course?
- Performance Engineering Life Cycle & Strategy
- Difference between Performance Testing vs Engineering
- Java Internals (JVM, Memory, GC Tuning)
- Code Profiling & Bottleneck Analysis
- Memory Leak Detection & Heap Analysis
- Thread Dumps & Deadlock Analysis
- Frontend Performance Optimization
- Infrastructure Monitoring (Linux & Windows)
- APM Tools – Dynatrace, AppDynamics
- Database Performance (Oracle AWR, ADDM)
- Production Monitoring (Synthetic & RUM)
- CI/CD Integration with JMeter & Jenkins
- Cloud Monitoring (AWS & Azure)
- Chaos Engineering & Resiliency
- Python & ML Performance Optimization
- .NET Performance Tools
- GenAI for Performance Automation & Analysis
Salient Features:
- 25+ Hours of Live Training along with recorded videos
- Lifetime access to the recorded videos
- Course Completion Certificate
Who can enroll in this course?
- Manual Testers looking to switch to Performance Testing
- Performance Testers wanting to become Performance Engineers
- Developers interested in optimization & tuning
- DevOps Engineers working on system performance
- Freshers aiming for high-demand IT skills
- Professionals working with Java, .NET, or Cloud
- Anyone interested in system scalability & performance tuning
Course syllabus:
Module 1: Foundations of Performance Engineering
- What is Performance Engineering & why it matters
- Performance Engineering vs Performance Testing
- Complete PE Life Cycle
- Engineering activities across SDLC
- Skills to grow from Tester → Engineer
- Industry expectations
- Workload Modelling & Engineering Strategy
- PE in Agile Execution
Module 2: Developer Mindset & Java Fundamentals
- Why Java for PE
- JDK/JRE/JVM overview
- Java environment setup
- JVM internals & architecture
- Hands-on coding basics
Module 3: Early PE – Code Profiling
- Response time analysis
- JProfiler & YourKit
- Method-level bottleneck detection
Module 4: Client-Side Performance
- Importance of frontend performance
- Chrome DevTools, GTMetrix, WebPageTest
- Rendering & optimization
Module 5: Memory Profiling & Leak Analysis
- Memory patterns
- Memory leak vs OOM
- Heap tools: JProfiler, VisualVM
Module 6: Java Memory Management – Part 1
- Stack, Heap, Metaspace
- Memory tuning (Xms/Xmx)
- Heap dump analysis
Module 7: Java Memory Management – Part 2 (GC)
- GC types: Serial, Parallel, CMS, G1
- GC tuning
- GC logs
Module 8: Threading & Lock Analysis
- Thread lifecycle
- Thread dumps
- Deadlocks & contention
Module 9: Infrastructure Monitoring
- Windows: PerfMon
- Linux: vmstat, iostat, nmon
Module 10: Load Test Monitoring Strategy
- Pre/during/post monitoring
- Telegraf, Grafana
- AppDynamics, Dynatrace
Module 11: Database Performance
- Oracle architecture
- AWR, ADDM Reports
Module 12: Production Monitoring
- Synthetic vs RUM
- Dynatrace Synthetic
Module 13: Continuous Performance (DevOps)
- CI/CD + JMeter + Jenkins
- Shift-left/right
Module 14: Cloud & Resiliency Engineering
- AWS & Azure monitoring
- Chaos testing tools
Module 15: Python & ML Performance
- Python profilers
- ML pipeline optimization
Module 16: .NET Performance
- DotTrace, DotMemory
- Azure Insights
Module 17: GenAI & Performance Engineering
- Script automation
- Result analysis
- Hotspot detection
FAQs-Performance Engineering Course with Java, JMeter, DevOps, Cloud & GenAI | End-to-End Training
1.What is Performance Engineering?
Performance Engineering is a practice that focuses on building scalable, fast, and reliable applications by analyzing and optimizing performance across the system.
2.Is this course suitable for beginners?
Yes, the course starts with basic concepts and gradually moves to advanced real-time topics.
3.Do I need Java knowledge?
Basic knowledge is helpful, but Java fundamentals are covered from scratch in this course.
4.Will I learn JMeter?
Yes, along with JMeter, you will learn complete performance engineering concepts and tools.
5.What tools will I learn?
You will work with tools like:
- JProfiler, YourKit
- Dynatrace, AppDynamics
- Grafana, Telegraf
- JMeter, Jenkins
6.Does this course cover cloud performance?
Yes, it includes AWS & Azure monitoring and optimization techniques.
7.Will I get real-time experience?
Yes, the course focuses heavily on real-world scenarios, monitoring, and troubleshooting.
8.What job roles can I apply for?
- Performance Tester
- Performance Engineer
- Site Reliability Engineer (SRE)
- DevOps Engineer (Performance-focused)