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Titan Centre of Excellence
Overview: This foundational course introduces AWS Cloud concepts, services, and use cases. It is suitable for individuals with no prior AWS knowledge and serves as a starting point for AWS certifications.
Target Audience: IT professionals, students, business managers, and non-technical users seeking cloud literacy.
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Overview: This course prepares participants for designing and deploying scalable AWS solutions. It covers core services and architectural best practices.
Target Audience:IT professionals with foundational AWS knowledge, developers, and system architects.
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Overview: Designed for system administrators, this course covers AWS system operations, deployment, and automation.
Target Audience: System administrators and those managing cloud operations.
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Overview: This course is tailored for developers, focusing on how to develop and maintain AWS applications. It includes best practices for optimizing cloud-native applications.
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Developers who want to build on the AWS platform.
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Overview: This course dives into complex networking configurations and strategies on AWS, aimed at building large-scale, highly available networks.
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Network administrators and architects responsible for AWS networking solutions.
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Overview: This advanced course focuses on securing AWS environments, covering identity management, compliance, and infrastructure protection.
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Security professionals and those managing cloud security.
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Overview: A comprehensive course that focuses on building, training, and deploying machine learning models using AWS services like SageMaker and TensorFlow on AWS.
Target Audience: Data scientists, ML engineers, and developers interested in AI/ML.
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Overview: This course covers advanced DevOps concepts, including continuous integration, deployment pipelines, and infrastructure automation on AWS.
Target Audience: DevOps engineers and cloud administrators.
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Overview: An advanced course focusing on designing dynamic, scalable, highly available, and fault-tolerant AWS architectures for enterprises.
Target Audience:Senior architects, cloud professionals with extensive AWS experience.
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Overview: The AWS Certified AI Practitioner (AIF-C01) exam is intended for individuals who can effectively demonstrate overall knowledge of AI/ML, generative AI technologies, and associated AWS services and tools, independent of a specific job role.
Target Audience:Developers, data scientists, business decision-makers, and anyone curious about GenAI on AWS.
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For teams of 5 or more and organization looking to innovate at scale, Skill Builder can help you stay current and reach your goals.
AWS Skill Builder features
AWS Exam Prep: Gain confidence going into exam day with AWS Certification Official Exam Prep developed by the experts at AWS. Go from start to AWS Certified with question sets, pretests, exam prep courses, and practice exams that demonstrate the style and depth of certification exams.
AWS Builder Labs: Unlock hundreds of self-paced labs to develop and apply practical skills. Receive guided instructions for common cloud scenarios in a live AWS environment, and practice building without risk of unanticipated expenses.
AWS Digital Classroom â–ªAccelerate your deep understanding of focused topic areas with immediate access to expert AWS instructor-led videos, hands-on labs, knowledge checks, and course assessments that you can revisit at any time.
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FThe AWS Learner Needs Analysis is a strategic tool used by AWS and training providers to understand the skills gaps, learning goals, and technical readiness of individuals or organizations engaging in cloud training. Its purpose is to align training resources with real-world job roles and cloud adoption stages.
Key Components
Current Cloud Knowledge & Experience
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