AWS BATCH

Module 1: Introduction to AWS Batch

• Overview of AWS Batch and batch computing
• Benefits of managed batch processing
• AWS Batch architecture and components

Module 2: Key Concepts and Terminology

• Jobs, job definitions, job queues
• Compute environments (managed, unmanaged)
• ECS architecture under the hood

Module 3: Setting Up AWS Batch Environment

• Configuring job queues and compute environments
• Managing EC2 Spot and On-Demand instances
• IAM roles and permissions

Module 4: Job Definitions and Scheduling

• Creating job definitions
• Job dependencies and arrays
• Scheduling jobs and monitoring execution

Module 5: Integration with AWS Services

• Using S3 for input/output storage
• Logs and monitoring with CloudWatch
• Integrating with AWS Lambda, SNS

Module 6: Scaling and Cost Optimization

• Auto scaling compute environments
• Spot instance usage for cost-saving
• Best practices for efficient batch workloads

Module 7: Security and Networking

• VPC configurations for AWS Batch
• IAM role management and job security
• Data encryption and secure data handling

Module 8: Hands-on Projects and Use Cases

• Batch processing for ML model training
• Large-scale data transformation jobs
• Video transcoding and scientific simulations

Module 9: Real-World Project & Certification Prep

• Designing and executing a batch workflow
• Performance tuning and troubleshooting
• Preparing for AWS Batch certification

Experience in the Industry Gain knowledge from experts with practical AWS BATCH project experience in a variety of sectors.

Backgrounds at the Top Prominent corporations such as hcl, tcs , accenture  and cognizant  employ trainers.

Clear & Effective Teaching Excellent communication and real-world examples simplify complex subjects.

Hands-On Learning Focus Students can apply their abilities in real-world situations with the use of case studies and real-time projects.

Up-to-Date Knowledge Trainers stay current with the latest tools, techniques and best practices.