About this Event
Group Discounts:
- Save 10% when registering 3 or more participants
- Save 15% when registering 10 or more participants
Duration: 1 Full Day (9:00 AM – 5:00 PM)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, beverages, and light snacks included
Course Overview
The AWS for Cloud Specialisations course is designed to help you build deeper expertise in advanced AWS domains such as AI/ML, Analytics, DevOps, and Security. Whether you're aspiring to be an AWS Cloud Architect or aiming for specialty certifications, this course provides insights into real-world cloud solutions, specialized services, and best practices for scalable and secure enterprise architectures.
Learning Objectives
By the end of this course, you will:
- Understand the core AWS specialty domains and their applications
- Design and deploy AI/ML and data analytics pipelines
- Implement DevOps practices using AWS tools
- Secure cloud applications using best practices and AWS services
- Apply holistic solutions integrating automation, analytics, and security
- Prepare effectively for AWS Specialty Certification paths
Target Audience
Cloud engineers, architects, developers, and IT professionals aiming for specialization.
Why is it the Right Fit for You?
As companies push toward advanced cloud strategies, specialized AWS skills are highly sought after. This course offers an accelerated learning path for those who want to transform into multi-domain experts in the cloud. You’ll gain practical exposure to tools used in AI/ML, analytics, DevOps, and cloud security—guided by experienced practitioners. Whether you're working towards AWS specialty certifications or aiming to level up in your role, this course bridges the gap between theory and advanced cloud solutions.
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Agenda
Module 1: AWS Specialty Overview
Info: • Introduction to AWS Specialty Certifications
• Mapping AWS services to key specialization areas
• Importance of multi-domain cloud expertise
• Activity
Module 2: AWS AI & Machine Learning Services
Info: • Overview of Amazon SageMaker
• AI tools: Rekognition, Polly, and Comprehend
• Building intelligent applications
• Case Study
Module 3: Big Data & Analytics on AWS
Info: • Data pipeline using Kinesis, Glue, Athena
• Storing and analyzing data with Redshift
• Visualizations using QuickSight
• Activity
Module 4: AWS DevOps Tools
Info: • CI/CD with CodePipeline, CodeBuild, and CodeDeploy
• Infrastructure automation with CloudFormation and CDK
• Monitoring and logging with CloudWatch & CloudTrail
• Activity
Module 5: Cloud Security Best Practices
Info: • Identity and access control with IAM, KMS, and Secrets Manager
• Network security using VPC, WAF, and Shield
• Compliance and best security frameworks
• Case Study
Module 6: Real-World Project Simulation
Info: • Design a multi-tier application
• Integrate AI/ML, analytics, and DevOps in architecture
• Ensure security and cost optimization
• Activity
Event Venue & Nearby Stays
Regus - Montreal, QC, 1200 Avenue McGill College, Montreal, Canada
CAD 616.10 to CAD 797.09
