AI-Assisted DevSecOps Engineer GCP Edition — Live Training
(Linux, Git, Google Cloud Platform, Terraform, Docker, Kubernetes, Jenkins, Prometheus, Grafana, DevSecOps, MLOps & AI-Assisted Security Engineering)
This AI-Assisted DevSecOps Engineer GCP Edition — Live Training is a job-oriented program covering GCP, DevSecOps, CI/CD, Docker, Kubernetes, Terraform, and Cloud Security. Gain hands-on experience with AI-assisted automation, security scanning, deployment pipelines, and real-time cloud projects. Learn industry-standard tools and practices to build secure, scalable, and automated DevSecOps solutions on Google Cloud Platform.
About the Instructor:
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Gopi is a seasoned Cloud & DevOps Engineer with over 10 years of hands-on industry experience in designing, implementing, and automating secure, scalable cloud infrastructure and DevSecOps solutions. He has extensive expertise in Google Cloud Platform (GCP), Kubernetes/GKE, Terraform, Docker, Jenkins, CI/CD, and DevSecOps, with a strong focus on production-ready cloud automation. Throughout his professional journey, Gopi has worked on enterprise cloud infrastructure, automation, CI/CD pipelines, containerized environments, and security-focused DevOps practices. His experience enables him to connect DevOps fundamentals with real-world cloud engineering, DevSecOps, and AI-assisted security challenges. With strong experience in technical mentoring, Gopi has successfully trained and mentored 200+ students, helping learners build practical skills through real-world projects and hands-on labs. His teaching approach focuses on clear explanations, practical implementation, troubleshooting, and production-oriented learning, ensuring students gain the confidence to work with modern cloud and DevOps technologies. |
Live Sessions Price:
For LIVE sessions – The offer price after discount is 350 USD 250 189 USD Or USD35000 INR 2500 INR 14,900 Rupees
OR
Free Demo On:
Indian Timings: 21st September @ 9 PM – 10 PM (IST)/
U.S Timings: 21st September @ 11:30 AM – 12:30 PM (EST)/
U.K Timings: 21st September @ 4:30 PM – 5:30 PM (BST)
Class Schedule:
For Participants in India: Monday to Friday @ 9 PM – 10 PM (IST)/
For Participants in the US: Monday to Friday @ 11:30 AM – 12:30 PM (EST)/
For Participants in the UK: Monday to Friday @ 4:30 PM – 5:30 PM (BST)
What students have to say about Gopi:
| The way the course builds from Linux and Git fundamentals up to GCP and Kubernetes made everything click. The DevSecOps and AI-assisted modules were the highlight for me.-Rahul Verma
Coming from a QA background, the Terraform and GCP sections took time to click, but the hands-on labs made the concepts stick. Gopi explains everything with real project context. – Sneha Reddy One of the standout aspects of the course was its practical approach. The hands-on sessions allowed me to apply the concepts in real-world scenarios, which helped reinforce my learning. From GCP fundamentals and CI/CD pipelines to security, containers, Kubernetes and AI-assisted DevSecOps practices, the important topics were covered in detail.- Aditya Kulkarni I switched from a networking role and was worried about keeping up, but the daily hands-on labs on Kubernetes and Jenkins pipelines built my confidence step by step. – Priya Nair The live sessions on Prometheus and Grafana monitoring were exactly what I needed for my current job. Doubt-clearing over WhatsApp between classes was a big help too. – Karthik Subramanian |
Salient Features:
- 60 Hours of Live Training along with recorded videos
- One year access to the recorded videos
- Course Completion Certificate
Who can enroll in this course?
- System Admins — moving into DevOps
- building a career in cloud & DevOps
- learning cloud infrastructure
- Cloud Engineers — specializing in GCP
- QA/Security Engineers — moving into DevSecOps
- DevOps Engineers — adding security & AI skills
- Anyone — curious about GCP, Kubernetes & DevSecOps
What Will You Learn by the End of This Course?
- Linux fundamentals, shell scripting & troubleshooting
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Git & GitHub workflows for CI/CD
- Google Cloud IAM, VPC networking & resource hierarchy
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Compute Engine, Cloud Storage & Cloud SQL
- Infrastructure as Code with Terraform on GCP
- Docker images, multi-stage builds & container registries
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Kubernetes deployments, services, Helm & RBAC
- CI/CD pipelines with Jenkins, Maven & Docker
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Monitoring with Prometheus & PromQL
- Secrets management & secure CI/CD pipelines
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MLOps fundamentals & secure ML workloads on GCP
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AI-assisted vulnerability triage & security analysis
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Building a small AI-powered DevSecOps assistant
Course syllabus:
Module 1 Linux
- Linux fundamentals and architecture
- File and directory management
- File viewing and text processing
- grep, regular expressions and sed
- Pipes, redirection and command chaining
- Users, groups and file permissions
- Processes and system management
- Disk and filesystem management
- Linux networking fundamentals
- SSH and remote access
- Services, systemd and logs
- Basic shell scripting
- Linux troubleshooting
- What is Software Testing
- Manual vs Automation Testing
- Web, UI, and Mobile Automation Overview
- Challenges in Mobile Test Automation
Module 2 Git & GitHub
- Introduction to Git and version control
- Git repository, working tree and staging
- Basic Git commands
- Branching and merging
- Conflict resolution
- GitHub repositories
- Pull requests and collaboration
- Git workflow for CI/CD
- Git check-in, checkout, push and pull
- Stashing and Git troubleshooting
Module 3 Google Cloud Platform (GCP)
- Cloud computing fundamentals
- Google Cloud Platform overview
- GCP resource hierarchy
- Identity and Access Management (IAM)
- Service accounts and least-privilege access
- VPC networking
- Subnets, routes and firewall rules
- Cloud NAT and DNS fundamentals
- Load balancing fundamentals
- Compute Engine
- Persistent Disk
- Cloud Storage and storage classes
- Versioning and lifecycle management
- Cloud SQL
- Cloud Monitoring and Cloud Logging
- High availability and GCP reliability
- Real-time GCP architecture project
Module 4 Terraform – Infrastructure as Code
- Infrastructure as Code fundamentals
- Terraform architecture and workflow
- Terraform configuration and core blocks
- Providers, resources and data sources
- Variables, outputs and locals
- Expressions, functions and collections
- count and for_each
- Conditional and for expressions
- Resource dependencies and lifecycle
- Terraform state and remote state
- Terraform modules
- Terraform best practices
- Provisioning GCP infrastructure using Terraform
- Real-time Terraform project
Module 5 Maven – Build Automation
- Maven fundamentals
- Maven project structure
- pom.xml configuration
- Dependency management
- Maven build lifecycle
- Build, test and package
- Maven plugins and configurations
- Running applications with Maven
- Maven integration with CI/CD pipelines
Module 6 Docker – Containerization
- Container fundamentals
- Docker architecture
- Docker images and containers
- Docker CLI commands
- Image lifecycle management
- Dockerfile creation
- Docker build context
- .dockerignore
- Multi-stage Docker builds
- Docker networking
- Docker volumes and persistent data
- Container registries
- Docker image management
- Container troubleshooting
Module 7 Kubernetes – Container Orchestration
- Kubernetes architecture and fundamentals
- Pods and workloads
- Deployments and ReplicaSets
- Services and service discovery
- Ingress and Ingress Controllers
- ConfigMaps and Secrets
- Deployment strategies
- Resource requests and limits
- Quality of Service (QoS)
- Health checks and probes
- Horizontal Pod Autoscaling
- Kubernetes storage
- Scheduling and node selection
- Node affinity and pod anti-affinity
- Topology spread constraints
- Taints and tolerations
- Service Accounts and RBAC
- Helm
- Kubernetes troubleshooting
- Production Kubernetes deployment project
Module 8 Jenkins – CI/CD Pipelines
- Jenkins fundamentals and architecture
- Continuous Integration and Continuous Delivery
- Jenkins pipelines
- Jenkinsfile
- Declarative pipelines
- Credentials management
- Environment variables
- Maven integration
- Docker image build and push
- Kubernetes integration
- Application deployment to Kubernetes
- End-to-end CI/CD pipeline project
Module 9 Prometheus – Monitoring & Metrics
- Monitoring and observability fundamentals
- Prometheus architecture
- Metrics and metric types
- Targets and service discovery
- Exporters
- Node Exporter
- Kubernetes monitoring
- kube-state-metrics
- PromQL fundamentals
- Application and infrastructure metrics
- Alerting fundamentals
- Real-time Prometheus monitoring project
Module 10 Grafana – Dashboards & Alerting
- Grafana fundamentals
- Prometheus integration
- Data sources and queries
- Dashboards and panels
- Variables and dashboard design
- Infrastructure monitoring dashboards
- Kubernetes monitoring dashboards
- Application monitoring dashboards
- Grafana alerting
- Production observability project
Module 11 DevSecOps & Application Security
- Introduction to DevSecOps
- DevSecOps principles
- Secure Software Development Lifecycle
- Shift-left security
- Security gates and automation
- SonarQube integration
- Static Application Security Testing (SAST)
- Software Composition Analysis (SCA)
- CVE and dependency security
- Dynamic Application Security Testing (DAST)
- Container image security
- Docker security
- Kubernetes security
- Secrets and credential security
- Security testing in CI/CD
- Secure CI/CD pipelines
- Security monitoring and incident response
Module 12 Introduction to MLOps
- MLOps fundamentals
- ML lifecycle and architecture
- Data lifecycle
- Model lifecycle
- Experiment lifecycle
- Model training and versioning
- Model packaging
- Model deployment
- Model monitoring
- ML security and governance
- Secure MLOps workloads on GCP
- MLOps with containers and Kubernetes
Module 13 AI-Assisted DevSecOps
- AI fundamentals for DevSecOps
- Role of AI in modern security operations
- AI-assisted vulnerability triage
- AI-assisted code security analysis
- AI-assisted SAST findings analysis
- AI-assisted dependency and CVE analysis
- AI-assisted DAST findings analysis
- AI-assisted secure coding
- AI-assisted security review
- AI-assisted security incident analysis
- Building an AI-powered DevSecOps assistant
- Responsible AI and human validation
- AI-assisted DevSecOps capstone project
How can enroll in this course?
OR
Call me or WhatsApp me on +91-9133190573 to enroll for the courseLive Sessions Price:
For LIVE sessions – The offer price after discount is
350USD 250189 USD OrUSD35000 INR2500 INR14,900 Rupees