AWS BATCH Course in Chennai
825 Ratings
Master AWS Batch, batch computing, workload automation, job scheduling, containerized batch processing, and scalable cloud computing with Edubrights’ AWS Batch training in Chennai. This course is designed for students, freshers, cloud engineers, DevOps engineers, data engineers, machine learning engineers, software developers, HPC professionals, solution architects, and working professionals who want to efficiently run large-scale batch processing workloads on AWS.
Gain hands-on experience with job definitions, job queues, compute environments, container orchestration, scheduling strategies, monitoring, cost optimization, and real-world cloud computing projects through practical industry use cases.
Key Highlights:
✅ Real-Time Batch Processing Projects & Cloud Computing Use Cases
✅ Live Instructor-Led Training by Experienced AWS Cloud & DevOps Experts
✅ Hands-On Practice with AWS Batch
✅ AWS Batch Fundamentals, Batch Computing & Job Scheduling Architecture
✅ Job Definitions, Job Queues, Compute Environments & Resource Allocation
✅ Managed Compute Environments, Unmanaged Environments & AWS Fargate Support
✅ Containerized Batch Workloads using Docker & Amazon Elastic Container Registry (ECR)
✅ Scheduling Policies, Dependencies, Array Jobs & Multi-Node Parallel Jobs
✅ Auto Scaling, Resource Optimization & Cost Management
✅ Security, IAM Roles, Networking & Access Control
✅ Monitoring, Logging, Troubleshooting & Performance Optimization
✅ Integration with Amazon ECS, AWS Fargate, Amazon EC2, Amazon ECR, Amazon S3, AWS Lambda, Amazon CloudWatch, AWS Step Functions, AWS IAM & AWS CloudFormation
✅ Resume Building, Portfolio Development & Mock Interview Preparation
✅ Career Guidance, Placement Assistance & AWS Certification Support
✅ Flexible Online, Classroom & Weekend Training Options
✅ Corporate Training for Data Engineering Teams, DevOps Teams, Scientific Computing Organizations, Financial Services, Healthcare, Research Institutions & Enterprise IT Teams
Build practical AWS Batch expertise, automate large-scale batch workloads, optimize cloud resource utilization, streamline data processing pipelines, and become industry-ready for careers in AWS Cloud Engineering, DevOps Engineering, Data Engineering, High-Performance Computing (HPC), Platform Engineering, and Cloud Architecture.
Call Course Advisor
₹16000
₹20000
Case Studies and Projects
2+
Hours of Training
20+
Placement Assurance
100%
Expert Support
Yes
Support & Access
Lifetime
Certification
Yes
Skill Level
All
Language
All
Course Objectives
Q1. What is AWS Batch?
Answer: AWS Batch is a fully managed service that helps developers run batch computing workloads on the AWS Cloud by automatically provisioning compute resources.
Q2. What are the key components of AWS Batch?
Answer: The main components are Job Definitions, Job Queues, and Compute Environments that work together to manage batch processing jobs.
Q3. What type of workloads can AWS Batch handle?
Answer: It can handle large-scale workloads such as data processing, machine learning model training, rendering, and financial analysis tasks.
Q4. Is AWS Batch serverless?
Answer: Yes, AWS Batch is fully managed and automatically provisions and scales compute resources based on workload demand.
Q5. Which AWS services integrate with AWS Batch?
Answer: It integrates with Amazon S3, AWS Lambda, Amazon CloudWatch, IAM, and EC2 for storage, monitoring, and execution control.
Popular Techniques Covered in This Course
1.Batch processing fundamentals
2.AWS Batch architecture
3.Job definitions and queues
4.Compute environment management
5.EC2 Spot and On-Demand instances
6.Scheduling and monitoring jobs
7.Security with IAM and VPC
8.Integration with AWS services (S3, Lambda, CloudWatch)
9.Cost management and auto scaling
10.Troubleshooting and optimization
Get Hands-on Knowledge about Real-Time Projects
Project 1
Project 1: Large Scale Data Processing Pipeline
Process massive datasets stored in Amazon S3 using AWS Batch jobs for transformation and analysis.
Project 2
Project 2: Image Rendering System
Build a scalable rendering pipeline for graphics and video processing using containerized batch jobs.
Project 3
Project 3: Financial Data Analysis System
Run batch computations on stock market data for risk analysis and forecasting using AWS Batch.
Project 4
Project 4: Machine Learning Model Training Pipeline
Automate ML training jobs using AWS Batch with GPU-based compute environments.
Project 5
Project 5: Log Processing System
Process application logs in bulk using AWS Batch and store processed insights in Amazon S3 or databases.
Key Features
Edubrights offers AWS BATCH Training in virtual mode with expert trainers. Here are the key features,
40 Hours Course Duration
100% Job Oriented Training
Industry Expert Faculties
Free Demo Class Available
Completed 500+ Batches
Certification Guidance
Curriculum
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
Receive Training From Our Skilled and Effective Trainers
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.
AWS Certified Cloud Batch & Compute Specialist (AWS Batch Training Program)
Our institution offers a recognized AWS Batch certification that validates your expertise in managing high-performance batch processing workloads in the cloud. Gain hands-on experience with scalable batch jobs, cost optimization, and AWS integrations to boost your professional profile.
Course FAQs
Q1: What is AWS Batch?
AWS Batch is a fully managed service that helps efficiently run batch computing workloads at any scale in the cloud.
Q2: Who should use AWS Batch?
Developers, data scientists, and engineers running batch jobs, simulations, or large data processing tasks.
Q3: What is a job definition in AWS Batch?
A job definition specifies how jobs are to be run, including compute resources, parameters, and container properties.
Q4: Does AWS Batch support Spot Instances?
Yes, it can leverage EC2 Spot Instances to lower compute costs while meeting scaling needs.
Q5: How does AWS Batch handle job scheduling?
AWS Batch manages job queues and schedules jobs based on resources and priorities you define.
Q6: Can AWS Batch integrate with other AWS services?
Yes, it integrates with S3, Lambda, CloudWatch, SNS, and more to provide end-to-end workflows.
Q7: Is AWS Batch secure?
AWS Batch supports IAM roles, VPC configurations, and encryption to secure jobs and data.
Q8: What types of workloads can I run on AWS Batch?
Suitable for machine learning training, data processing, video transcoding, financial simulations, and scientific modeling.
Q9: How do I monitor AWS Batch jobs?
Job status and logs are monitored via the AWS Management Console and CloudWatch.
Q10: Is AWS Batch hard to learn?
AWS Batch abstracts much infrastructure complexity, making batch processing accessible with basic AWS knowledge.
11. Does AWS Batch support GPU workloads?
Yes, it supports GPU-based compute environments for ML and rendering tasks.
12. What is the salary after AWS Batch skills?
Cloud professionals with AWS skills generally earn high-paying roles depending on experience.
13. Can AWS Batch handle big data processing?
Yes, it is widely used for large-scale data processing workloads.
14. Is AWS Batch good for DevOps?
Yes, it is commonly used in DevOps pipelines for automation and scaling workloads.
15. How long does it take to learn AWS Batch?
With AWS fundamentals, it typically takes 3–6 weeks to gain practical knowledge.
Get Training Quote for Free
Testimonials
Hear What Our Students Say
"Transform your life through Education, hear it from our Alumni"
6 LPA
Fathima
Student
Software Engineer
"Transform your life through Education, hear it from our Alumni"
8 LPA
Rahul
Student
Data Scientist
"Transform your life through Education, hear it from our Alumni"
8 LPA
Siddharth
NIELSON IQ
Data Analyst
