Kickstart your AI/ML career today with our comprehensive training programs designed to equip you with cutting-edge skills and knowledge. Our courses offer flexible online learning options, allowing you to study at your own pace. Benefit from expert instructions, hands-on projects, and real-world case studies to master AI/ML concepts and techniques. Join us to transform your passion for technology into a rewarding and successful career in the rapidly growing field of AI and machine learning.
Estimated AI/ML Market Size
CAGR, AI/ML market
Chapter-1: Why DevOps
Chapter-2: DevOps Life Cycle
Chapter-3: Agile & Scrum
Chapter-4: Linux Introduction & Setup
Chapter-5: Working with Linux OS
Chapter-6: Shell Scripting
Chapter-7: Maven Build Tool
Chapter-8: Git Version Control
Chapter-9: SonarQube
Chapter-10: Nexus Repo
Chapter-11: Jenkins CI CD
Chapter-12: Dockers (Containerization)
Chapter-13: Kubernetes (Orchestration)
Chapter-14: Monitoring Tools
Chapter-15: ELK Stack
Chapter-16: Anisble (IAAC)
Chapter-17: Terraform (IAAC)
Chapter-18: Introduction to Cloud Computing
Chapter-19: Introduction to Amazon Web Services (AWS)
Chapter-20: Elastic Compute Cloud (EC2)
Chapter-21: Regions and Zones
Chapter-22: Amazon Machine Images (AMI)
Chapter-23: Amazon Elastic Block Store (EBS)
Chapter-24: Load Balancing (ELB) & Auto Scaling
Chapter-25: Network & Security
Chapter-26: Amazon Virtual Private Cloud (VPC)
Chapter-27: Security & Identity Services (IAM)
Chapter-28: Storage & Content Delivery Services (S3)
Chapter-29: Route 53 (DNS)
Chapter-30: Database Services (RDS)
Chapter-31: Amazon Cloud Watch
Chapter-32: Cloud Formation
Chapter-33: AWS Lambdas
Chapter-34: Amazon Simple Email Service (SES)
Chapter-35: Amazon Simple Queue Service (SQS)
Chapter-36: Amazon Simple Notification Service (SNS)
Chapter-37: Projects Setup (3 Projects)
Chapter-38: Issues Trouble shooting
Chapter-39: Resume Building
Chapter-40: Conclusion
