Bootcamp: DevOps & MLOps
2:30
Course Highlights
Master CI/CD pipeline implementation
Deploy and manage containerized applications
Implement Infrastructure as Code (IaC)
Configure and manage cloud services
Implement monitoring and logging solutions
Automate deployment processes
Implement security best practices
Master Kubernetes orchestration
Certificate of Course Completion
Industry Standard MEGA DevOps Project
Monitoring and Pagerduty Alert
Generative AI For DevOps
Introduction to Machine Learning Operations (MLOps) & AI Agents
MERN and Python-Django Full Stack Applications Development and CI/CD
Generative AI Series With AWS LLMOPS
Portfolio, Resume Building & LinkedIn Profile Masterclasses
Deployment Of HuggingFace LLM Model In AWS Sagemaker, GENAI App Using NVIDIA
Case Studies, Scenario Based Questions, Assignments, Mock Test & Code Tests
Software Development with Agile (Scrum) Project Management Approach and Use of JIRA
It’s a marathon, not a sprint!!
Class Schedules
Friday, Saturday & Tuesday
9:00 PM - 11:00 PM
Meet Your Mentors
Course Modules
Who is eligible for this course?
Completely Beginner in DevOps but You Don’t Want to Feel Like a Beginner
Who wants to start a career as a DevOps Engineer
DevOps Engineers
Software Developers
Support & Test Engineers / QA
Network Engineers
Cloud Engineers
Systems Administrators
Learning Roadmap
Phase 1: DevOps Fundamentals
Master core DevOps concepts and practices
Linux Administration
1 week
Shell Scripting
System Administration
Networking
Version Control
1 week
Git & GitHub
Branching Strategies
Collaboration
Scripting, Computer Networks
2 weeks
Python
Bash, PowerShell
Networking
Phase 2: Continuous Integration
Build robust CI pipelines
CI Fundamentals
2 weeks
Jenkins
GitLab CI
GitHub Actions
Testing Automation
1 week
Unit Testing
Integration Testing
Test Automation
Cloud Services
1 week
AWS
EC2, S3, ECS, ECR
GCP, Azure
Phase 3: Container & Orchestration
Master containerization and orchestration
Containerization
2 weeks
Docker
Container Security
Image Optimization
Kubernetes
2 weeks
Cluster Management
Deployments
Service Mesh
Container Security
1 week
Image Scanning
Runtime Security
Policy Management
Phase 4: Infrastructure & Cloud
Implement cloud-native infrastructure
Infrastructure as Code
2 weeks
Terraform
CloudFormation
Ansible
Monitoring & Logging
1 week
Prometheus
Grafana
ELK Stack
MLOps
1 week
ML & Deep Learning
LLM, HuggingFace
Sagemaker, NVIDIA
Phase 5: Job Preperation
Scrum, Agile, Resume, LinkedIn
Scrum (Agile) Methodology
Last week
SCRUM PMP Approach
Use of JIRA
Project under SCRUM
Profile Building
Last week
Resume
LinkedIn
GitHub Profile
Final Touch
Last week
Case Studies
Mock Interviews
Final Project Submission